Index by author
A
Aamodt, A.H.
- EDITOR'S CHOICEYou have accessImaging of Patients with Suspected Large-Vessel Occlusion at Primary Stroke Centers: Available Modalities and a Suggested ApproachM.A. Almekhlafi, W.G. Kunz, B.K. Menon, R.A. McTaggart, M.V. Jayaraman, B.W. Baxter, D. Heck, D. Frei, C.P. Derdeyn, T. Takagi, A.H. Aamodt, I.M.R. Fragata, M.D. Hill, A.M. Demchuk and M. GoyalAmerican Journal of Neuroradiology March 2019, 40 (3) 396-400; DOI: https://doi.org/10.3174/ajnr.A5971
Endovascular thrombectomy has proven efficacy for a wide range of patients with large-vessel occlusion stroke and in selected cases up to 24 hours from onset. While primary stroke centers have increased the proportion of patients withstroke receiving thrombolytic therapy, delays can be encountereduntil patients with LVO are identified and transferred from the primary stroke center to acomprehensive stroke center. Therefore, any extra steps need to be carefullyweighed. The use of CTA (especially multiphase) at the primary stroke center levelhas many advantages in expediting the transfer of appropriate patients to a comprehensive center.
Aliaga, E. Sanchez
- PediatricsYou have accessEvaluation of the Implementation of the Response Assessment in Neuro-Oncology Criteria in the HERBY Trial of Pediatric Patients with Newly Diagnosed High-Grade GliomasD. Rodriguez, T. Chambers, M. Warmuth-Metz, E. Sanchez Aliaga, D. Warren, R. Calmon, D. Hargrave, J. Garcia, G. Vassal, J. Grill, G. Zahlmann, P.S. Morgan and T. JaspanAmerican Journal of Neuroradiology March 2019, 40 (3) 568-575; DOI: https://doi.org/10.3174/ajnr.A5982
Almekhlafi, M.A.
- EDITOR'S CHOICEYou have accessImaging of Patients with Suspected Large-Vessel Occlusion at Primary Stroke Centers: Available Modalities and a Suggested ApproachM.A. Almekhlafi, W.G. Kunz, B.K. Menon, R.A. McTaggart, M.V. Jayaraman, B.W. Baxter, D. Heck, D. Frei, C.P. Derdeyn, T. Takagi, A.H. Aamodt, I.M.R. Fragata, M.D. Hill, A.M. Demchuk and M. GoyalAmerican Journal of Neuroradiology March 2019, 40 (3) 396-400; DOI: https://doi.org/10.3174/ajnr.A5971
Endovascular thrombectomy has proven efficacy for a wide range of patients with large-vessel occlusion stroke and in selected cases up to 24 hours from onset. While primary stroke centers have increased the proportion of patients withstroke receiving thrombolytic therapy, delays can be encountereduntil patients with LVO are identified and transferred from the primary stroke center to acomprehensive stroke center. Therefore, any extra steps need to be carefullyweighed. The use of CTA (especially multiphase) at the primary stroke center levelhas many advantages in expediting the transfer of appropriate patients to a comprehensive center.
Amin-Hanjani, S.
- InterventionalOpen AccessLocal Hemodynamic Conditions Associated with Focal Changes in the Intracranial Aneurysm WallJ.R. Cebral, F. Detmer, B.J. Chung, J. Choque-Velasquez, B. Rezai, H. Lehto, R. Tulamo, J. Hernesniemi, M. Niemela, A. Yu, R. Williamson, K. Aziz, S. Sakur, S. Amin-Hanjani, F. Charbel, Y. Tobe, A. Robertson and J. FrösenAmerican Journal of Neuroradiology March 2019, 40 (3) 510-516; DOI: https://doi.org/10.3174/ajnr.A5970
Anderies, B.J.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAccurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer LearningL.S. Hu, H. Yoon, J.M. Eschbacher, L.C. Baxter, A.C. Dueck, A. Nespodzany, K.A. Smith, P. Nakaji, Y. Xu, L. Wang, J.P. Karis, A.J. Hawkins-Daarud, K.W. Singleton, P.R. Jackson, B.J. Anderies, B.R. Bendok, R.S. Zimmerman, C. Quarles, A.B. Porter-Umphrey, M.M. Mrugala, A. Sharma, J.M. Hoxworth, M.G. Sattur, N. Sanai, P.E. Koulemberis, C. Krishna, J.R. Mitchell, T. Wu, N.L. Tran, K.R. Swanson and J. LiAmerican Journal of Neuroradiology March 2019, 40 (3) 418-425; DOI: https://doi.org/10.3174/ajnr.A5981
The authors evaluated tumor cell density using a transfer learning method that generates individualized patient models, grounded in the wealth of population data, while also detecting and adjusting for interpatient variabilities based on each patient's own histologic data. They collected 82 image-recorded biopsy samples, from 18 patients with primary GBM. With multivariate modeling, transfer learning improved performance (r = 0.88) compared with one-model-fits-all (r = 0.39). They conclude that transfer learning significantly improves predictive modeling performance for quantifying tumor cell density in glioblastoma.
Aranow, C.
- Adult BrainOpen AccessDynamic Contrast-Enhanced MRI Reveals Unique Blood-Brain Barrier Permeability Characteristics in the Hippocampus in the Normal BrainJ. Ivanidze, M. Mackay, A. Hoang, J.M. Chi, K. Cheng, C. Aranow, B. Volpe, B. Diamond and P.C. SanelliAmerican Journal of Neuroradiology March 2019, 40 (3) 408-411; DOI: https://doi.org/10.3174/ajnr.A5962
- Adult BrainOpen AccessAlterations in Blood-Brain Barrier Permeability in Patients with Systemic Lupus ErythematosusJ.M. Chi, M. Mackay, A. Hoang, K. Cheng, C. Aranow, J. Ivanidze, B. Volpe, B. Diamond and P.C. SanelliAmerican Journal of Neuroradiology March 2019, 40 (3) 470-477; DOI: https://doi.org/10.3174/ajnr.A5990
Aziz, K.
- InterventionalOpen AccessLocal Hemodynamic Conditions Associated with Focal Changes in the Intracranial Aneurysm WallJ.R. Cebral, F. Detmer, B.J. Chung, J. Choque-Velasquez, B. Rezai, H. Lehto, R. Tulamo, J. Hernesniemi, M. Niemela, A. Yu, R. Williamson, K. Aziz, S. Sakur, S. Amin-Hanjani, F. Charbel, Y. Tobe, A. Robertson and J. FrösenAmerican Journal of Neuroradiology March 2019, 40 (3) 510-516; DOI: https://doi.org/10.3174/ajnr.A5970
B
Baal, J.D.
- Adult BrainOpen AccessPreoperative MR Imaging to Differentiate Chordoid Meningiomas from Other Meningioma Histologic SubtypesJ.D. Baal, W.C. Chen, D.A. Solomon, J.S. Pai, C.-H. Lucas, J.H. Hara, N.A. Oberheim Bush, M.W. McDermott, D.R. Raleigh and J.E. Villanueva-MeyerAmerican Journal of Neuroradiology March 2019, 40 (3) 433-439; DOI: https://doi.org/10.3174/ajnr.A5996
Barbe, C.
- InterventionalOpen AccessAneurysm Characteristics, Study Population, and Endovascular Techniques for the Treatment of Intracranial Aneurysms in a Large, Prospective, Multicenter Cohort: Results of the Analysis of Recanalization after Endovascular Treatment of Intracranial Aneurysm StudyM. Gawlitza, S. Soize, C. Barbe, A. le Clainche, P. White, L. Spelle and L. Pierot ARETA Study GroupAmerican Journal of Neuroradiology March 2019, 40 (3) 517-523; DOI: https://doi.org/10.3174/ajnr.A5991
Batchala, P.P.
- FELLOWS' JOURNAL CLUBAdult BrainYou have accessNeuroimaging-Based Classification Algorithm for Predicting 1p/19q-Codeletion Status in IDH-Mutant Lower Grade GliomasP.P. Batchala, T.J.E. Muttikkal, J.H. Donahue, J.T. Patrie, D. Schiff, C.E. Fadul, E.K. Mrachek, M.-B. Lopes, R. Jain and S.H. PatelAmerican Journal of Neuroradiology March 2019, 40 (3) 426-432; DOI: https://doi.org/10.3174/ajnr.A5957
One hundred two IDH-mutant lower grade gliomas with preoperative MR imaging and known 1p/19q status from The Cancer Genome Atlas composed a training dataset. Two neuroradiologists in consensus analyzed the training dataset for various imaging features: tumor or cyst texture, margins, cortical infiltration, T2-FLAIR mismatch, tumor cyst, T2* susceptibility, hydrocephalus, midline shift, maximum dimension, primary lobe, necrosis, enhancement, edema, and gliomatosis. Statistical analysis of the training data produced a multivariate classification model for codeletion prediction based on a subset of MR imaging features and patient age. Training dataset analysis produced a 2-step classification algorithm with 86.3% codeletion prediction accuracy, based on the following: 1) the presence of the T2-FLAIR mismatch sign, which was 100% predictive of noncodeleted lowergrade gliomas; and 2)a logistic regression model based on texture, patient age, T2* susceptibility, primary lobe, and hydrocephalus. Independent validation ofthe classification algorithm rendered codeletion prediction accuracies of 81.1% and 79.2% in 2 independent readers.
Bathla, G.
- LETTERYou have accessEngorged Medullary Veins in Neurosarcoidosis: A Reflection of Underlying Phlebitis?G. Bathla, N. Soni, T. Moritani and A.A. CapizzanoAmerican Journal of Neuroradiology March 2019, 40 (3) E14-E15; DOI: https://doi.org/10.3174/ajnr.A5951
Baxter, B.W.
- EDITOR'S CHOICEYou have accessImaging of Patients with Suspected Large-Vessel Occlusion at Primary Stroke Centers: Available Modalities and a Suggested ApproachM.A. Almekhlafi, W.G. Kunz, B.K. Menon, R.A. McTaggart, M.V. Jayaraman, B.W. Baxter, D. Heck, D. Frei, C.P. Derdeyn, T. Takagi, A.H. Aamodt, I.M.R. Fragata, M.D. Hill, A.M. Demchuk and M. GoyalAmerican Journal of Neuroradiology March 2019, 40 (3) 396-400; DOI: https://doi.org/10.3174/ajnr.A5971
Endovascular thrombectomy has proven efficacy for a wide range of patients with large-vessel occlusion stroke and in selected cases up to 24 hours from onset. While primary stroke centers have increased the proportion of patients withstroke receiving thrombolytic therapy, delays can be encountereduntil patients with LVO are identified and transferred from the primary stroke center to acomprehensive stroke center. Therefore, any extra steps need to be carefullyweighed. The use of CTA (especially multiphase) at the primary stroke center levelhas many advantages in expediting the transfer of appropriate patients to a comprehensive center.
Baxter, L.C.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAccurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer LearningL.S. Hu, H. Yoon, J.M. Eschbacher, L.C. Baxter, A.C. Dueck, A. Nespodzany, K.A. Smith, P. Nakaji, Y. Xu, L. Wang, J.P. Karis, A.J. Hawkins-Daarud, K.W. Singleton, P.R. Jackson, B.J. Anderies, B.R. Bendok, R.S. Zimmerman, C. Quarles, A.B. Porter-Umphrey, M.M. Mrugala, A. Sharma, J.M. Hoxworth, M.G. Sattur, N. Sanai, P.E. Koulemberis, C. Krishna, J.R. Mitchell, T. Wu, N.L. Tran, K.R. Swanson and J. LiAmerican Journal of Neuroradiology March 2019, 40 (3) 418-425; DOI: https://doi.org/10.3174/ajnr.A5981
The authors evaluated tumor cell density using a transfer learning method that generates individualized patient models, grounded in the wealth of population data, while also detecting and adjusting for interpatient variabilities based on each patient's own histologic data. They collected 82 image-recorded biopsy samples, from 18 patients with primary GBM. With multivariate modeling, transfer learning improved performance (r = 0.88) compared with one-model-fits-all (r = 0.39). They conclude that transfer learning significantly improves predictive modeling performance for quantifying tumor cell density in glioblastoma.
Baylosis, B.
- Head & NeckYou have accessEtiology-Specific Mineralization Patterns in Patients with Labyrinthitis OssificansK. Buch, B. Baylosis, A. Fujita, M.M. Qureshi, K. Takumi, P.C. Weber and O. SakaiAmerican Journal of Neuroradiology March 2019, 40 (3) 551-557; DOI: https://doi.org/10.3174/ajnr.A5985
Beaujeux, R.
- InterventionalYou have accessPredictors and Clinical Impact of Delayed Stent Thrombosis after Thrombectomy for Acute Stroke with Tandem LesionsR. Pop, I. Zinchenko, V. Quenardelle, D. Mihoc, M. Manisor, J.S. Richter, F. Severac, M. Simu, S. Chibbaro, O. Rouyer, V. Wolff and R. BeaujeuxAmerican Journal of Neuroradiology March 2019, 40 (3) 533-539; DOI: https://doi.org/10.3174/ajnr.A5976
Becske, T.
- CommentaryYou have accessPipeline Sizing Based on Computer SimulationT. BecskeAmerican Journal of Neuroradiology March 2019, 40 (3) 531-532; DOI: https://doi.org/10.3174/ajnr.A5998
Bendok, B.R.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAccurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer LearningL.S. Hu, H. Yoon, J.M. Eschbacher, L.C. Baxter, A.C. Dueck, A. Nespodzany, K.A. Smith, P. Nakaji, Y. Xu, L. Wang, J.P. Karis, A.J. Hawkins-Daarud, K.W. Singleton, P.R. Jackson, B.J. Anderies, B.R. Bendok, R.S. Zimmerman, C. Quarles, A.B. Porter-Umphrey, M.M. Mrugala, A. Sharma, J.M. Hoxworth, M.G. Sattur, N. Sanai, P.E. Koulemberis, C. Krishna, J.R. Mitchell, T. Wu, N.L. Tran, K.R. Swanson and J. LiAmerican Journal of Neuroradiology March 2019, 40 (3) 418-425; DOI: https://doi.org/10.3174/ajnr.A5981
The authors evaluated tumor cell density using a transfer learning method that generates individualized patient models, grounded in the wealth of population data, while also detecting and adjusting for interpatient variabilities based on each patient's own histologic data. They collected 82 image-recorded biopsy samples, from 18 patients with primary GBM. With multivariate modeling, transfer learning improved performance (r = 0.88) compared with one-model-fits-all (r = 0.39). They conclude that transfer learning significantly improves predictive modeling performance for quantifying tumor cell density in glioblastoma.
Bergsland, N.
- Adult BrainYou have accessA Serial 10-Year Follow-Up Study of Atrophied Brain Lesion Volume and Disability Progression in Patients with Relapsing-Remitting MSR. Zivadinov, D. Horakova, N. Bergsland, J. Hagemeier, D.P. Ramasamy, T. Uher, M. Vaneckova, E. Havrdova and M.G. DwyerAmerican Journal of Neuroradiology March 2019, 40 (3) 446-452; DOI: https://doi.org/10.3174/ajnr.A5987
Berlis, A.
- EDITOR'S CHOICEInterventionalYou have accessEndovascular Treatment of Unruptured MCA Bifurcation Aneurysms Regardless of Aneurysm Morphology: Short- and Long-Term Follow-UpF. Hagen, C.J. Maurer and A. BerlisAmerican Journal of Neuroradiology March 2019, 40 (3) 503-509; DOI: https://doi.org/10.3174/ajnr.A5977
Between May 2008 and July 2017, endovascular treatment of 1184 aneurysms in 827 patients was performed in a single institution. Twenty-four percent of these aneurysms were located at the MCA, and 150 unruptured MCA bifurcation aneurysms treated with coiling, stent-assistedcoiling, or endovascular flow diverter (WEB device) were identified for this retrospective data analysis. The procedure-associated good clinical outcome was 89.9%, and the mortality rate was 2.7%. Short-term follow-up good clinical outcome/mortality rates were 91.3%/0.7%. At discharge, 137 patients had an mRS of 0–2 (91.3%) and 13 had an mRS of 3–6 (8.7%). The authors conclude that regardless of the architecture of MCA bifurcation aneurysms, endovascular treatment can be performed with low morbidity/mortality rates.
Bhadelia, R.A.
- Head & NeckYou have accessDiagnostic Utility of Optic Nerve Measurements with MRI in Patients with Optic Nerve AtrophyB. Zhao, N. Torun, M. Elsayed, A.-D. Cheng, A. Brook, Y.-M. Chang and R.A. BhadeliaAmerican Journal of Neuroradiology March 2019, 40 (3) 558-561; DOI: https://doi.org/10.3174/ajnr.A5975
Bill, O.
- Adult BrainYou have accessFocal Hypoperfusion in Acute Ischemic Stroke Perfusion CT: Clinical and Radiologic Predictors and Accuracy for Infarct PredictionO. Bill, N.M. Inácio, D. Lambrou, M. Wintermark, G. Ntaios, V. Dunet and P. MichelAmerican Journal of Neuroradiology March 2019, 40 (3) 483-489; DOI: https://doi.org/10.3174/ajnr.A5984
Birkl, C.
- Adult BrainOpen AccessQuantitative Susceptibility Mapping to Assess Cerebral Vascular ComplianceC. Birkl, C. Langkammer, P. Sati, C. Enzinger, F. Fazekas and S. RopeleAmerican Journal of Neuroradiology March 2019, 40 (3) 460-463; DOI: https://doi.org/10.3174/ajnr.A5933
Blackham, K.A.
- InterventionalYou have accessComparison of Pipeline Embolization Device Sizing Based on Conventional 2D Measurements and Virtual Simulation Using the Sim&Size Software: An Agreement StudyJ.M. Ospel, G. Gascou, V. Costalat, L. Piergallini, K.A. Blackham and D.W. ZumofenAmerican Journal of Neuroradiology March 2019, 40 (3) 524-530; DOI: https://doi.org/10.3174/ajnr.A5973
Branstetter, B.F.
- Adult BrainYou have accessImproved Detection of Subtle Mesial Temporal Sclerosis: Validation of a Commercially Available Software for Automated Segmentation of Hippocampal VolumeJ.M. Mettenburg, B.F. Branstetter, C.A. Wiley, P. Lee and R.M. RichardsonAmerican Journal of Neuroradiology March 2019, 40 (3) 440-445; DOI: https://doi.org/10.3174/ajnr.A5966
Brink, J.A.
- MemorialYou have accessRobert H. Ackerman, MD, MPH (1935–2018)M.H. Lev, J.M. Romero, L.H. Schwamm, M.E. Cudkowicz and J.A. BrinkAmerican Journal of Neuroradiology March 2019, 40 (3) E12-E13; DOI: https://doi.org/10.3174/ajnr.A5989
Brook, A.
- Head & NeckYou have accessDiagnostic Utility of Optic Nerve Measurements with MRI in Patients with Optic Nerve AtrophyB. Zhao, N. Torun, M. Elsayed, A.-D. Cheng, A. Brook, Y.-M. Chang and R.A. BhadeliaAmerican Journal of Neuroradiology March 2019, 40 (3) 558-561; DOI: https://doi.org/10.3174/ajnr.A5975
Brugger, P.C.
- PediatricsOpen AccessUnderdevelopment of the Human Hippocampus in Callosal Agenesis: An In Vivo Fetal MRI StudyV. Knezović, G. Kasprian, A. Štajduhar, E. Schwartz, M. Weber, G.M. Gruber, P.C. Brugger, D. Prayer and M. VukšićAmerican Journal of Neuroradiology March 2019, 40 (3) 576-581; DOI: https://doi.org/10.3174/ajnr.A5986
Bruno, M.T.
- EDITOR'S CHOICEAdult BrainOpen Access3T MRI Whole-Brain Microscopy Discrimination of Subcortical Anatomy, Part 1: Brain StemM.J. Hoch, M.T. Bruno, A. Faustin, N. Cruz, L. Crandall, T. Wisniewski, O. Devinsky and T.M. ShepherdAmerican Journal of Neuroradiology March 2019, 40 (3) 401-407; DOI: https://doi.org/10.3174/ajnr.A5956
The authors applied an optimized TSE T2 sequence to washed postmortem brain samples to reveal exquisite and reproducible brain stem anatomic MR imaging contrast comparable with histologic atlases. Direct TSE MR imaging sequence discrimination of brain stem anatomy can help validate other MR imaging contrasts, such as diffusion tractography, or serve as a structural template for extracting quantitative MR imaging data in future postmortem investigations.
Buch, K.
- Head & NeckYou have accessEtiology-Specific Mineralization Patterns in Patients with Labyrinthitis OssificansK. Buch, B. Baylosis, A. Fujita, M.M. Qureshi, K. Takumi, P.C. Weber and O. SakaiAmerican Journal of Neuroradiology March 2019, 40 (3) 551-557; DOI: https://doi.org/10.3174/ajnr.A5985
C
Cagnazzo, F.
- InterventionalYou have accessFlow-Diversion Treatment of Unruptured Saccular Anterior Communicating Artery Aneurysms: A Systematic Review and Meta-AnalysisF. Cagnazzo, N. Limbucci, S. Nappini, L. Renieri, A. Rosi, A. Laiso, D. Tiziano di Carlo, P. Perrini and S. MangiaficoAmerican Journal of Neuroradiology March 2019, 40 (3) 497-502; DOI: https://doi.org/10.3174/ajnr.A5967
Calmon, R.
- PediatricsYou have accessEvaluation of the Implementation of the Response Assessment in Neuro-Oncology Criteria in the HERBY Trial of Pediatric Patients with Newly Diagnosed High-Grade GliomasD. Rodriguez, T. Chambers, M. Warmuth-Metz, E. Sanchez Aliaga, D. Warren, R. Calmon, D. Hargrave, J. Garcia, G. Vassal, J. Grill, G. Zahlmann, P.S. Morgan and T. JaspanAmerican Journal of Neuroradiology March 2019, 40 (3) 568-575; DOI: https://doi.org/10.3174/ajnr.A5982
Capizzano, A.A.
- LETTERYou have accessEngorged Medullary Veins in Neurosarcoidosis: A Reflection of Underlying Phlebitis?G. Bathla, N. Soni, T. Moritani and A.A. CapizzanoAmerican Journal of Neuroradiology March 2019, 40 (3) E14-E15; DOI: https://doi.org/10.3174/ajnr.A5951
Castillo, M.
- LETTERYou have accessReply:C. Zamora and M. CastilloAmerican Journal of Neuroradiology March 2019, 40 (3) E16; DOI: https://doi.org/10.3174/ajnr.A5968
Cebral, J.R.
- InterventionalOpen AccessLocal Hemodynamic Conditions Associated with Focal Changes in the Intracranial Aneurysm WallJ.R. Cebral, F. Detmer, B.J. Chung, J. Choque-Velasquez, B. Rezai, H. Lehto, R. Tulamo, J. Hernesniemi, M. Niemela, A. Yu, R. Williamson, K. Aziz, S. Sakur, S. Amin-Hanjani, F. Charbel, Y. Tobe, A. Robertson and J. FrösenAmerican Journal of Neuroradiology March 2019, 40 (3) 510-516; DOI: https://doi.org/10.3174/ajnr.A5970
Cesarini, K.G.
- Adult BrainYou have accessAqueductal CSF Stroke Volume Is Increased in Patients with Idiopathic Normal Pressure Hydrocephalus and Decreases after Shunt SurgeryJ. Shanks, K. Markenroth Bloch, K. Laurell, K.G. Cesarini, M. Fahlström, E.-M. Larsson and J. VirhammarAmerican Journal of Neuroradiology March 2019, 40 (3) 453-459; DOI: https://doi.org/10.3174/ajnr.A5972
Chambers, T.
- PediatricsYou have accessEvaluation of the Implementation of the Response Assessment in Neuro-Oncology Criteria in the HERBY Trial of Pediatric Patients with Newly Diagnosed High-Grade GliomasD. Rodriguez, T. Chambers, M. Warmuth-Metz, E. Sanchez Aliaga, D. Warren, R. Calmon, D. Hargrave, J. Garcia, G. Vassal, J. Grill, G. Zahlmann, P.S. Morgan and T. JaspanAmerican Journal of Neuroradiology March 2019, 40 (3) 568-575; DOI: https://doi.org/10.3174/ajnr.A5982
Chang, F.-C.
- InterventionalOpen AccessValidating the Automatic Independent Component Analysis of DSAJ.-S. Hong, Y.-H. Kao, F.-C. Chang and C.-J. LinAmerican Journal of Neuroradiology March 2019, 40 (3) 540-542; DOI: https://doi.org/10.3174/ajnr.A5963
Chang, Y.-M.
- Head & NeckYou have accessDiagnostic Utility of Optic Nerve Measurements with MRI in Patients with Optic Nerve AtrophyB. Zhao, N. Torun, M. Elsayed, A.-D. Cheng, A. Brook, Y.-M. Chang and R.A. BhadeliaAmerican Journal of Neuroradiology March 2019, 40 (3) 558-561; DOI: https://doi.org/10.3174/ajnr.A5975
Chapman, M.N.
- Head & NeckYou have accessCT Texture Analysis of Cervical Lymph Nodes on Contrast-Enhanced [18F] FDG-PET/CT Images to Differentiate Nodal Metastases from Reactive Lymphadenopathy in HIV-Positive Patients with Head and Neck Squamous Cell CarcinomaH. Kuno, N. Garg, M.M. Qureshi, M.N. Chapman, B. Li, S.K. Meibom, M.T. Truong, K. Takumi and O. SakaiAmerican Journal of Neuroradiology March 2019, 40 (3) 543-550; DOI: https://doi.org/10.3174/ajnr.A5974
Charbel, F.
- InterventionalOpen AccessLocal Hemodynamic Conditions Associated with Focal Changes in the Intracranial Aneurysm WallJ.R. Cebral, F. Detmer, B.J. Chung, J. Choque-Velasquez, B. Rezai, H. Lehto, R. Tulamo, J. Hernesniemi, M. Niemela, A. Yu, R. Williamson, K. Aziz, S. Sakur, S. Amin-Hanjani, F. Charbel, Y. Tobe, A. Robertson and J. FrösenAmerican Journal of Neuroradiology March 2019, 40 (3) 510-516; DOI: https://doi.org/10.3174/ajnr.A5970
Chen, H.
- Adult BrainOpen AccessComplementary Roles of Dynamic Contrast-Enhanced MR Imaging and Postcontrast Vessel Wall Imaging in Detecting High-Risk Intracranial AneurysmsH. Qi, X. Liu, P. Liu, W. Yuan, A. Liu, Y. Jiang, Y. Li, J. Sun and H. ChenAmerican Journal of Neuroradiology March 2019, 40 (3) 490-496; DOI: https://doi.org/10.3174/ajnr.A5983
Chen, W.C.
- Adult BrainOpen AccessPreoperative MR Imaging to Differentiate Chordoid Meningiomas from Other Meningioma Histologic SubtypesJ.D. Baal, W.C. Chen, D.A. Solomon, J.S. Pai, C.-H. Lucas, J.H. Hara, N.A. Oberheim Bush, M.W. McDermott, D.R. Raleigh and J.E. Villanueva-MeyerAmerican Journal of Neuroradiology March 2019, 40 (3) 433-439; DOI: https://doi.org/10.3174/ajnr.A5996
Cheng, A.-D.
- Head & NeckYou have accessDiagnostic Utility of Optic Nerve Measurements with MRI in Patients with Optic Nerve AtrophyB. Zhao, N. Torun, M. Elsayed, A.-D. Cheng, A. Brook, Y.-M. Chang and R.A. BhadeliaAmerican Journal of Neuroradiology March 2019, 40 (3) 558-561; DOI: https://doi.org/10.3174/ajnr.A5975
Cheng, K.
- Adult BrainOpen AccessDynamic Contrast-Enhanced MRI Reveals Unique Blood-Brain Barrier Permeability Characteristics in the Hippocampus in the Normal BrainJ. Ivanidze, M. Mackay, A. Hoang, J.M. Chi, K. Cheng, C. Aranow, B. Volpe, B. Diamond and P.C. SanelliAmerican Journal of Neuroradiology March 2019, 40 (3) 408-411; DOI: https://doi.org/10.3174/ajnr.A5962
- Adult BrainOpen AccessAlterations in Blood-Brain Barrier Permeability in Patients with Systemic Lupus ErythematosusJ.M. Chi, M. Mackay, A. Hoang, K. Cheng, C. Aranow, J. Ivanidze, B. Volpe, B. Diamond and P.C. SanelliAmerican Journal of Neuroradiology March 2019, 40 (3) 470-477; DOI: https://doi.org/10.3174/ajnr.A5990
Chi, J.M.
- Adult BrainOpen AccessDynamic Contrast-Enhanced MRI Reveals Unique Blood-Brain Barrier Permeability Characteristics in the Hippocampus in the Normal BrainJ. Ivanidze, M. Mackay, A. Hoang, J.M. Chi, K. Cheng, C. Aranow, B. Volpe, B. Diamond and P.C. SanelliAmerican Journal of Neuroradiology March 2019, 40 (3) 408-411; DOI: https://doi.org/10.3174/ajnr.A5962
- Adult BrainOpen AccessAlterations in Blood-Brain Barrier Permeability in Patients with Systemic Lupus ErythematosusJ.M. Chi, M. Mackay, A. Hoang, K. Cheng, C. Aranow, J. Ivanidze, B. Volpe, B. Diamond and P.C. SanelliAmerican Journal of Neuroradiology March 2019, 40 (3) 470-477; DOI: https://doi.org/10.3174/ajnr.A5990
Chibbaro, S.
- InterventionalYou have accessPredictors and Clinical Impact of Delayed Stent Thrombosis after Thrombectomy for Acute Stroke with Tandem LesionsR. Pop, I. Zinchenko, V. Quenardelle, D. Mihoc, M. Manisor, J.S. Richter, F. Severac, M. Simu, S. Chibbaro, O. Rouyer, V. Wolff and R. BeaujeuxAmerican Journal of Neuroradiology March 2019, 40 (3) 533-539; DOI: https://doi.org/10.3174/ajnr.A5976
Choque-Velasquez, J.
- InterventionalOpen AccessLocal Hemodynamic Conditions Associated with Focal Changes in the Intracranial Aneurysm WallJ.R. Cebral, F. Detmer, B.J. Chung, J. Choque-Velasquez, B. Rezai, H. Lehto, R. Tulamo, J. Hernesniemi, M. Niemela, A. Yu, R. Williamson, K. Aziz, S. Sakur, S. Amin-Hanjani, F. Charbel, Y. Tobe, A. Robertson and J. FrösenAmerican Journal of Neuroradiology March 2019, 40 (3) 510-516; DOI: https://doi.org/10.3174/ajnr.A5970
Chou, M.-C.
- Adult BrainOpen AccessLongitudinal White Matter Changes following Carbon Monoxide Poisoning: A 9-Month Follow-Up Voxelwise Diffusional Kurtosis Imaging StudyM.-C. Chou, J.-Y. Li and P.-H. LaiAmerican Journal of Neuroradiology March 2019, 40 (3) 478-482; DOI: https://doi.org/10.3174/ajnr.A5979
Chung, B.J.
- InterventionalOpen AccessLocal Hemodynamic Conditions Associated with Focal Changes in the Intracranial Aneurysm WallJ.R. Cebral, F. Detmer, B.J. Chung, J. Choque-Velasquez, B. Rezai, H. Lehto, R. Tulamo, J. Hernesniemi, M. Niemela, A. Yu, R. Williamson, K. Aziz, S. Sakur, S. Amin-Hanjani, F. Charbel, Y. Tobe, A. Robertson and J. FrösenAmerican Journal of Neuroradiology March 2019, 40 (3) 510-516; DOI: https://doi.org/10.3174/ajnr.A5970
Cohen, M.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessDisorder in Pixel-Level Edge Directions on T1WI Is Associated with the Degree of Radiation Necrosis in Primary and Metastatic Brain Tumors: Preliminary FindingsP. Prasanna, L. Rogers, T.C. Lam, M. Cohen, A. Siddalingappa, L. Wolansky, M. Pinho, A. Gupta, K.J. Hatanpaa, A. Madabhushi and P. TiwariAmerican Journal of Neuroradiology March 2019, 40 (3) 412-417; DOI: https://doi.org/10.3174/ajnr.A5958
The authors sought to investigate whether co-occurrence of local anisotropic gradient orientations (COLLAGE) measurements from posttreatment gadolinium-contrast T1WI could distinguish varying extents of cerebral radiation necrosis and recurrent tumor classes in a lesion across primary and metastatic brain tumors. On 75 gadolinium-contrast T1WI studies obtained from patients with primary and metastatic brain tumors and nasopharyngeal carcinoma, the extent of cerebral radiation necrosis and recurrent tumor in every brain lesion was histopathologically defined by a neuropathologist as the following: 1) “pure” cerebral radiation necrosis; 2) “mixed” pathology with coexistence of cerebral radiation necrosis and recurrent tumors; 3) “predominant” (>80%) cerebral radiation necrosis; 4) predominant (>80%) recurrent tumor; and 5) pure tumor. COLLAGE features were extracted from the expert-annotated ROIs on MR imaging. COLLAGE features exhibited decreased skewness for patients with pure and predominant cerebral radiation necrosis and were statistically significantly different from those in patients with predominant recurrent tumors, which had highly skewed COLLAGE values.
Corrêa, D.G.
- LETTERYou have accessHigh-Resolution Vessel Wall MR Imaging as an Alternative to Brain BiopsyD.G. Corrêa and L.C. Hygino da CruzAmerican Journal of Neuroradiology March 2019, 40 (3) E17-E18; DOI: https://doi.org/10.3174/ajnr.A5950
Costalat, V.
- InterventionalYou have accessComparison of Pipeline Embolization Device Sizing Based on Conventional 2D Measurements and Virtual Simulation Using the Sim&Size Software: An Agreement StudyJ.M. Ospel, G. Gascou, V. Costalat, L. Piergallini, K.A. Blackham and D.W. ZumofenAmerican Journal of Neuroradiology March 2019, 40 (3) 524-530; DOI: https://doi.org/10.3174/ajnr.A5973
Crandall, L.
- EDITOR'S CHOICEAdult BrainOpen Access3T MRI Whole-Brain Microscopy Discrimination of Subcortical Anatomy, Part 1: Brain StemM.J. Hoch, M.T. Bruno, A. Faustin, N. Cruz, L. Crandall, T. Wisniewski, O. Devinsky and T.M. ShepherdAmerican Journal of Neuroradiology March 2019, 40 (3) 401-407; DOI: https://doi.org/10.3174/ajnr.A5956
The authors applied an optimized TSE T2 sequence to washed postmortem brain samples to reveal exquisite and reproducible brain stem anatomic MR imaging contrast comparable with histologic atlases. Direct TSE MR imaging sequence discrimination of brain stem anatomy can help validate other MR imaging contrasts, such as diffusion tractography, or serve as a structural template for extracting quantitative MR imaging data in future postmortem investigations.
Cruz, N.
- EDITOR'S CHOICEAdult BrainOpen Access3T MRI Whole-Brain Microscopy Discrimination of Subcortical Anatomy, Part 1: Brain StemM.J. Hoch, M.T. Bruno, A. Faustin, N. Cruz, L. Crandall, T. Wisniewski, O. Devinsky and T.M. ShepherdAmerican Journal of Neuroradiology March 2019, 40 (3) 401-407; DOI: https://doi.org/10.3174/ajnr.A5956
The authors applied an optimized TSE T2 sequence to washed postmortem brain samples to reveal exquisite and reproducible brain stem anatomic MR imaging contrast comparable with histologic atlases. Direct TSE MR imaging sequence discrimination of brain stem anatomy can help validate other MR imaging contrasts, such as diffusion tractography, or serve as a structural template for extracting quantitative MR imaging data in future postmortem investigations.
Cudkowicz, M.E.
- MemorialYou have accessRobert H. Ackerman, MD, MPH (1935–2018)M.H. Lev, J.M. Romero, L.H. Schwamm, M.E. Cudkowicz and J.A. BrinkAmerican Journal of Neuroradiology March 2019, 40 (3) E12-E13; DOI: https://doi.org/10.3174/ajnr.A5989
D
Demchuk, A.M.
- EDITOR'S CHOICEYou have accessImaging of Patients with Suspected Large-Vessel Occlusion at Primary Stroke Centers: Available Modalities and a Suggested ApproachM.A. Almekhlafi, W.G. Kunz, B.K. Menon, R.A. McTaggart, M.V. Jayaraman, B.W. Baxter, D. Heck, D. Frei, C.P. Derdeyn, T. Takagi, A.H. Aamodt, I.M.R. Fragata, M.D. Hill, A.M. Demchuk and M. GoyalAmerican Journal of Neuroradiology March 2019, 40 (3) 396-400; DOI: https://doi.org/10.3174/ajnr.A5971
Endovascular thrombectomy has proven efficacy for a wide range of patients with large-vessel occlusion stroke and in selected cases up to 24 hours from onset. While primary stroke centers have increased the proportion of patients withstroke receiving thrombolytic therapy, delays can be encountereduntil patients with LVO are identified and transferred from the primary stroke center to acomprehensive stroke center. Therefore, any extra steps need to be carefullyweighed. The use of CTA (especially multiphase) at the primary stroke center levelhas many advantages in expediting the transfer of appropriate patients to a comprehensive center.
Derdeyn, C.P.
- EDITOR'S CHOICEYou have accessImaging of Patients with Suspected Large-Vessel Occlusion at Primary Stroke Centers: Available Modalities and a Suggested ApproachM.A. Almekhlafi, W.G. Kunz, B.K. Menon, R.A. McTaggart, M.V. Jayaraman, B.W. Baxter, D. Heck, D. Frei, C.P. Derdeyn, T. Takagi, A.H. Aamodt, I.M.R. Fragata, M.D. Hill, A.M. Demchuk and M. GoyalAmerican Journal of Neuroradiology March 2019, 40 (3) 396-400; DOI: https://doi.org/10.3174/ajnr.A5971
Endovascular thrombectomy has proven efficacy for a wide range of patients with large-vessel occlusion stroke and in selected cases up to 24 hours from onset. While primary stroke centers have increased the proportion of patients withstroke receiving thrombolytic therapy, delays can be encountereduntil patients with LVO are identified and transferred from the primary stroke center to acomprehensive stroke center. Therefore, any extra steps need to be carefullyweighed. The use of CTA (especially multiphase) at the primary stroke center levelhas many advantages in expediting the transfer of appropriate patients to a comprehensive center.
Detmer, F.
- InterventionalOpen AccessLocal Hemodynamic Conditions Associated with Focal Changes in the Intracranial Aneurysm WallJ.R. Cebral, F. Detmer, B.J. Chung, J. Choque-Velasquez, B. Rezai, H. Lehto, R. Tulamo, J. Hernesniemi, M. Niemela, A. Yu, R. Williamson, K. Aziz, S. Sakur, S. Amin-Hanjani, F. Charbel, Y. Tobe, A. Robertson and J. FrösenAmerican Journal of Neuroradiology March 2019, 40 (3) 510-516; DOI: https://doi.org/10.3174/ajnr.A5970
Devinsky, O.
- EDITOR'S CHOICEAdult BrainOpen Access3T MRI Whole-Brain Microscopy Discrimination of Subcortical Anatomy, Part 1: Brain StemM.J. Hoch, M.T. Bruno, A. Faustin, N. Cruz, L. Crandall, T. Wisniewski, O. Devinsky and T.M. ShepherdAmerican Journal of Neuroradiology March 2019, 40 (3) 401-407; DOI: https://doi.org/10.3174/ajnr.A5956
The authors applied an optimized TSE T2 sequence to washed postmortem brain samples to reveal exquisite and reproducible brain stem anatomic MR imaging contrast comparable with histologic atlases. Direct TSE MR imaging sequence discrimination of brain stem anatomy can help validate other MR imaging contrasts, such as diffusion tractography, or serve as a structural template for extracting quantitative MR imaging data in future postmortem investigations.
Diamond, B.
- Adult BrainOpen AccessDynamic Contrast-Enhanced MRI Reveals Unique Blood-Brain Barrier Permeability Characteristics in the Hippocampus in the Normal BrainJ. Ivanidze, M. Mackay, A. Hoang, J.M. Chi, K. Cheng, C. Aranow, B. Volpe, B. Diamond and P.C. SanelliAmerican Journal of Neuroradiology March 2019, 40 (3) 408-411; DOI: https://doi.org/10.3174/ajnr.A5962
- Adult BrainOpen AccessAlterations in Blood-Brain Barrier Permeability in Patients with Systemic Lupus ErythematosusJ.M. Chi, M. Mackay, A. Hoang, K. Cheng, C. Aranow, J. Ivanidze, B. Volpe, B. Diamond and P.C. SanelliAmerican Journal of Neuroradiology March 2019, 40 (3) 470-477; DOI: https://doi.org/10.3174/ajnr.A5990
Donahue, J.H.
- FELLOWS' JOURNAL CLUBAdult BrainYou have accessNeuroimaging-Based Classification Algorithm for Predicting 1p/19q-Codeletion Status in IDH-Mutant Lower Grade GliomasP.P. Batchala, T.J.E. Muttikkal, J.H. Donahue, J.T. Patrie, D. Schiff, C.E. Fadul, E.K. Mrachek, M.-B. Lopes, R. Jain and S.H. PatelAmerican Journal of Neuroradiology March 2019, 40 (3) 426-432; DOI: https://doi.org/10.3174/ajnr.A5957
One hundred two IDH-mutant lower grade gliomas with preoperative MR imaging and known 1p/19q status from The Cancer Genome Atlas composed a training dataset. Two neuroradiologists in consensus analyzed the training dataset for various imaging features: tumor or cyst texture, margins, cortical infiltration, T2-FLAIR mismatch, tumor cyst, T2* susceptibility, hydrocephalus, midline shift, maximum dimension, primary lobe, necrosis, enhancement, edema, and gliomatosis. Statistical analysis of the training data produced a multivariate classification model for codeletion prediction based on a subset of MR imaging features and patient age. Training dataset analysis produced a 2-step classification algorithm with 86.3% codeletion prediction accuracy, based on the following: 1) the presence of the T2-FLAIR mismatch sign, which was 100% predictive of noncodeleted lowergrade gliomas; and 2)a logistic regression model based on texture, patient age, T2* susceptibility, primary lobe, and hydrocephalus. Independent validation ofthe classification algorithm rendered codeletion prediction accuracies of 81.1% and 79.2% in 2 independent readers.
Dueck, A.C.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAccurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer LearningL.S. Hu, H. Yoon, J.M. Eschbacher, L.C. Baxter, A.C. Dueck, A. Nespodzany, K.A. Smith, P. Nakaji, Y. Xu, L. Wang, J.P. Karis, A.J. Hawkins-Daarud, K.W. Singleton, P.R. Jackson, B.J. Anderies, B.R. Bendok, R.S. Zimmerman, C. Quarles, A.B. Porter-Umphrey, M.M. Mrugala, A. Sharma, J.M. Hoxworth, M.G. Sattur, N. Sanai, P.E. Koulemberis, C. Krishna, J.R. Mitchell, T. Wu, N.L. Tran, K.R. Swanson and J. LiAmerican Journal of Neuroradiology March 2019, 40 (3) 418-425; DOI: https://doi.org/10.3174/ajnr.A5981
The authors evaluated tumor cell density using a transfer learning method that generates individualized patient models, grounded in the wealth of population data, while also detecting and adjusting for interpatient variabilities based on each patient's own histologic data. They collected 82 image-recorded biopsy samples, from 18 patients with primary GBM. With multivariate modeling, transfer learning improved performance (r = 0.88) compared with one-model-fits-all (r = 0.39). They conclude that transfer learning significantly improves predictive modeling performance for quantifying tumor cell density in glioblastoma.
Dunet, V.
- Adult BrainYou have accessFocal Hypoperfusion in Acute Ischemic Stroke Perfusion CT: Clinical and Radiologic Predictors and Accuracy for Infarct PredictionO. Bill, N.M. Inácio, D. Lambrou, M. Wintermark, G. Ntaios, V. Dunet and P. MichelAmerican Journal of Neuroradiology March 2019, 40 (3) 483-489; DOI: https://doi.org/10.3174/ajnr.A5984
Dwyer, M.G.
- Adult BrainYou have accessA Serial 10-Year Follow-Up Study of Atrophied Brain Lesion Volume and Disability Progression in Patients with Relapsing-Remitting MSR. Zivadinov, D. Horakova, N. Bergsland, J. Hagemeier, D.P. Ramasamy, T. Uher, M. Vaneckova, E. Havrdova and M.G. DwyerAmerican Journal of Neuroradiology March 2019, 40 (3) 446-452; DOI: https://doi.org/10.3174/ajnr.A5987
E
Elsayed, M.
- Head & NeckYou have accessDiagnostic Utility of Optic Nerve Measurements with MRI in Patients with Optic Nerve AtrophyB. Zhao, N. Torun, M. Elsayed, A.-D. Cheng, A. Brook, Y.-M. Chang and R.A. BhadeliaAmerican Journal of Neuroradiology March 2019, 40 (3) 558-561; DOI: https://doi.org/10.3174/ajnr.A5975
Enzinger, C.
- Adult BrainOpen AccessQuantitative Susceptibility Mapping to Assess Cerebral Vascular ComplianceC. Birkl, C. Langkammer, P. Sati, C. Enzinger, F. Fazekas and S. RopeleAmerican Journal of Neuroradiology March 2019, 40 (3) 460-463; DOI: https://doi.org/10.3174/ajnr.A5933
Eschbacher, J.M.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAccurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer LearningL.S. Hu, H. Yoon, J.M. Eschbacher, L.C. Baxter, A.C. Dueck, A. Nespodzany, K.A. Smith, P. Nakaji, Y. Xu, L. Wang, J.P. Karis, A.J. Hawkins-Daarud, K.W. Singleton, P.R. Jackson, B.J. Anderies, B.R. Bendok, R.S. Zimmerman, C. Quarles, A.B. Porter-Umphrey, M.M. Mrugala, A. Sharma, J.M. Hoxworth, M.G. Sattur, N. Sanai, P.E. Koulemberis, C. Krishna, J.R. Mitchell, T. Wu, N.L. Tran, K.R. Swanson and J. LiAmerican Journal of Neuroradiology March 2019, 40 (3) 418-425; DOI: https://doi.org/10.3174/ajnr.A5981
The authors evaluated tumor cell density using a transfer learning method that generates individualized patient models, grounded in the wealth of population data, while also detecting and adjusting for interpatient variabilities based on each patient's own histologic data. They collected 82 image-recorded biopsy samples, from 18 patients with primary GBM. With multivariate modeling, transfer learning improved performance (r = 0.88) compared with one-model-fits-all (r = 0.39). They conclude that transfer learning significantly improves predictive modeling performance for quantifying tumor cell density in glioblastoma.
F
Fadul, C.E.
- FELLOWS' JOURNAL CLUBAdult BrainYou have accessNeuroimaging-Based Classification Algorithm for Predicting 1p/19q-Codeletion Status in IDH-Mutant Lower Grade GliomasP.P. Batchala, T.J.E. Muttikkal, J.H. Donahue, J.T. Patrie, D. Schiff, C.E. Fadul, E.K. Mrachek, M.-B. Lopes, R. Jain and S.H. PatelAmerican Journal of Neuroradiology March 2019, 40 (3) 426-432; DOI: https://doi.org/10.3174/ajnr.A5957
One hundred two IDH-mutant lower grade gliomas with preoperative MR imaging and known 1p/19q status from The Cancer Genome Atlas composed a training dataset. Two neuroradiologists in consensus analyzed the training dataset for various imaging features: tumor or cyst texture, margins, cortical infiltration, T2-FLAIR mismatch, tumor cyst, T2* susceptibility, hydrocephalus, midline shift, maximum dimension, primary lobe, necrosis, enhancement, edema, and gliomatosis. Statistical analysis of the training data produced a multivariate classification model for codeletion prediction based on a subset of MR imaging features and patient age. Training dataset analysis produced a 2-step classification algorithm with 86.3% codeletion prediction accuracy, based on the following: 1) the presence of the T2-FLAIR mismatch sign, which was 100% predictive of noncodeleted lowergrade gliomas; and 2)a logistic regression model based on texture, patient age, T2* susceptibility, primary lobe, and hydrocephalus. Independent validation ofthe classification algorithm rendered codeletion prediction accuracies of 81.1% and 79.2% in 2 independent readers.
Fahlström, M.
- Adult BrainYou have accessAqueductal CSF Stroke Volume Is Increased in Patients with Idiopathic Normal Pressure Hydrocephalus and Decreases after Shunt SurgeryJ. Shanks, K. Markenroth Bloch, K. Laurell, K.G. Cesarini, M. Fahlström, E.-M. Larsson and J. VirhammarAmerican Journal of Neuroradiology March 2019, 40 (3) 453-459; DOI: https://doi.org/10.3174/ajnr.A5972
Faustin, A.
- EDITOR'S CHOICEAdult BrainOpen Access3T MRI Whole-Brain Microscopy Discrimination of Subcortical Anatomy, Part 1: Brain StemM.J. Hoch, M.T. Bruno, A. Faustin, N. Cruz, L. Crandall, T. Wisniewski, O. Devinsky and T.M. ShepherdAmerican Journal of Neuroradiology March 2019, 40 (3) 401-407; DOI: https://doi.org/10.3174/ajnr.A5956
The authors applied an optimized TSE T2 sequence to washed postmortem brain samples to reveal exquisite and reproducible brain stem anatomic MR imaging contrast comparable with histologic atlases. Direct TSE MR imaging sequence discrimination of brain stem anatomy can help validate other MR imaging contrasts, such as diffusion tractography, or serve as a structural template for extracting quantitative MR imaging data in future postmortem investigations.
Fazekas, F.
- Adult BrainOpen AccessQuantitative Susceptibility Mapping to Assess Cerebral Vascular ComplianceC. Birkl, C. Langkammer, P. Sati, C. Enzinger, F. Fazekas and S. RopeleAmerican Journal of Neuroradiology March 2019, 40 (3) 460-463; DOI: https://doi.org/10.3174/ajnr.A5933
Fragata, I.M.R.
- EDITOR'S CHOICEYou have accessImaging of Patients with Suspected Large-Vessel Occlusion at Primary Stroke Centers: Available Modalities and a Suggested ApproachM.A. Almekhlafi, W.G. Kunz, B.K. Menon, R.A. McTaggart, M.V. Jayaraman, B.W. Baxter, D. Heck, D. Frei, C.P. Derdeyn, T. Takagi, A.H. Aamodt, I.M.R. Fragata, M.D. Hill, A.M. Demchuk and M. GoyalAmerican Journal of Neuroradiology March 2019, 40 (3) 396-400; DOI: https://doi.org/10.3174/ajnr.A5971
Endovascular thrombectomy has proven efficacy for a wide range of patients with large-vessel occlusion stroke and in selected cases up to 24 hours from onset. While primary stroke centers have increased the proportion of patients withstroke receiving thrombolytic therapy, delays can be encountereduntil patients with LVO are identified and transferred from the primary stroke center to acomprehensive stroke center. Therefore, any extra steps need to be carefullyweighed. The use of CTA (especially multiphase) at the primary stroke center levelhas many advantages in expediting the transfer of appropriate patients to a comprehensive center.
Frei, D.
- EDITOR'S CHOICEYou have accessImaging of Patients with Suspected Large-Vessel Occlusion at Primary Stroke Centers: Available Modalities and a Suggested ApproachM.A. Almekhlafi, W.G. Kunz, B.K. Menon, R.A. McTaggart, M.V. Jayaraman, B.W. Baxter, D. Heck, D. Frei, C.P. Derdeyn, T. Takagi, A.H. Aamodt, I.M.R. Fragata, M.D. Hill, A.M. Demchuk and M. GoyalAmerican Journal of Neuroradiology March 2019, 40 (3) 396-400; DOI: https://doi.org/10.3174/ajnr.A5971
Endovascular thrombectomy has proven efficacy for a wide range of patients with large-vessel occlusion stroke and in selected cases up to 24 hours from onset. While primary stroke centers have increased the proportion of patients withstroke receiving thrombolytic therapy, delays can be encountereduntil patients with LVO are identified and transferred from the primary stroke center to acomprehensive stroke center. Therefore, any extra steps need to be carefullyweighed. The use of CTA (especially multiphase) at the primary stroke center levelhas many advantages in expediting the transfer of appropriate patients to a comprehensive center.
Frösen, J.
- InterventionalOpen AccessLocal Hemodynamic Conditions Associated with Focal Changes in the Intracranial Aneurysm WallJ.R. Cebral, F. Detmer, B.J. Chung, J. Choque-Velasquez, B. Rezai, H. Lehto, R. Tulamo, J. Hernesniemi, M. Niemela, A. Yu, R. Williamson, K. Aziz, S. Sakur, S. Amin-Hanjani, F. Charbel, Y. Tobe, A. Robertson and J. FrösenAmerican Journal of Neuroradiology March 2019, 40 (3) 510-516; DOI: https://doi.org/10.3174/ajnr.A5970
Fujita, A.
- Head & NeckYou have accessEtiology-Specific Mineralization Patterns in Patients with Labyrinthitis OssificansK. Buch, B. Baylosis, A. Fujita, M.M. Qureshi, K. Takumi, P.C. Weber and O. SakaiAmerican Journal of Neuroradiology March 2019, 40 (3) 551-557; DOI: https://doi.org/10.3174/ajnr.A5985
G
Garcia, J.
- PediatricsYou have accessEvaluation of the Implementation of the Response Assessment in Neuro-Oncology Criteria in the HERBY Trial of Pediatric Patients with Newly Diagnosed High-Grade GliomasD. Rodriguez, T. Chambers, M. Warmuth-Metz, E. Sanchez Aliaga, D. Warren, R. Calmon, D. Hargrave, J. Garcia, G. Vassal, J. Grill, G. Zahlmann, P.S. Morgan and T. JaspanAmerican Journal of Neuroradiology March 2019, 40 (3) 568-575; DOI: https://doi.org/10.3174/ajnr.A5982
Garg, N.
- Head & NeckYou have accessCT Texture Analysis of Cervical Lymph Nodes on Contrast-Enhanced [18F] FDG-PET/CT Images to Differentiate Nodal Metastases from Reactive Lymphadenopathy in HIV-Positive Patients with Head and Neck Squamous Cell CarcinomaH. Kuno, N. Garg, M.M. Qureshi, M.N. Chapman, B. Li, S.K. Meibom, M.T. Truong, K. Takumi and O. SakaiAmerican Journal of Neuroradiology March 2019, 40 (3) 543-550; DOI: https://doi.org/10.3174/ajnr.A5974
Gascou, G.
- InterventionalYou have accessComparison of Pipeline Embolization Device Sizing Based on Conventional 2D Measurements and Virtual Simulation Using the Sim&Size Software: An Agreement StudyJ.M. Ospel, G. Gascou, V. Costalat, L. Piergallini, K.A. Blackham and D.W. ZumofenAmerican Journal of Neuroradiology March 2019, 40 (3) 524-530; DOI: https://doi.org/10.3174/ajnr.A5973
Gawlitza, M.
- InterventionalOpen AccessAneurysm Characteristics, Study Population, and Endovascular Techniques for the Treatment of Intracranial Aneurysms in a Large, Prospective, Multicenter Cohort: Results of the Analysis of Recanalization after Endovascular Treatment of Intracranial Aneurysm StudyM. Gawlitza, S. Soize, C. Barbe, A. le Clainche, P. White, L. Spelle and L. Pierot ARETA Study GroupAmerican Journal of Neuroradiology March 2019, 40 (3) 517-523; DOI: https://doi.org/10.3174/ajnr.A5991
Goyal, M.
- EDITOR'S CHOICEYou have accessImaging of Patients with Suspected Large-Vessel Occlusion at Primary Stroke Centers: Available Modalities and a Suggested ApproachM.A. Almekhlafi, W.G. Kunz, B.K. Menon, R.A. McTaggart, M.V. Jayaraman, B.W. Baxter, D. Heck, D. Frei, C.P. Derdeyn, T. Takagi, A.H. Aamodt, I.M.R. Fragata, M.D. Hill, A.M. Demchuk and M. GoyalAmerican Journal of Neuroradiology March 2019, 40 (3) 396-400; DOI: https://doi.org/10.3174/ajnr.A5971
Endovascular thrombectomy has proven efficacy for a wide range of patients with large-vessel occlusion stroke and in selected cases up to 24 hours from onset. While primary stroke centers have increased the proportion of patients withstroke receiving thrombolytic therapy, delays can be encountereduntil patients with LVO are identified and transferred from the primary stroke center to acomprehensive stroke center. Therefore, any extra steps need to be carefullyweighed. The use of CTA (especially multiphase) at the primary stroke center levelhas many advantages in expediting the transfer of appropriate patients to a comprehensive center.
Graham, M.E.
- PediatricsYou have accessInfant Midnasal Stenosis: Reliability of Nasal MetricsM.E. Graham, K.M. Loveridge, S.H. Pollard, K.R. Moore and J.R. SkirkoAmerican Journal of Neuroradiology March 2019, 40 (3) 562-567; DOI: https://doi.org/10.3174/ajnr.A5980
Grill, J.
- PediatricsYou have accessEvaluation of the Implementation of the Response Assessment in Neuro-Oncology Criteria in the HERBY Trial of Pediatric Patients with Newly Diagnosed High-Grade GliomasD. Rodriguez, T. Chambers, M. Warmuth-Metz, E. Sanchez Aliaga, D. Warren, R. Calmon, D. Hargrave, J. Garcia, G. Vassal, J. Grill, G. Zahlmann, P.S. Morgan and T. JaspanAmerican Journal of Neuroradiology March 2019, 40 (3) 568-575; DOI: https://doi.org/10.3174/ajnr.A5982
Gruber, G.M.
- PediatricsOpen AccessUnderdevelopment of the Human Hippocampus in Callosal Agenesis: An In Vivo Fetal MRI StudyV. Knezović, G. Kasprian, A. Štajduhar, E. Schwartz, M. Weber, G.M. Gruber, P.C. Brugger, D. Prayer and M. VukšićAmerican Journal of Neuroradiology March 2019, 40 (3) 576-581; DOI: https://doi.org/10.3174/ajnr.A5986
Gupta, A.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessDisorder in Pixel-Level Edge Directions on T1WI Is Associated with the Degree of Radiation Necrosis in Primary and Metastatic Brain Tumors: Preliminary FindingsP. Prasanna, L. Rogers, T.C. Lam, M. Cohen, A. Siddalingappa, L. Wolansky, M. Pinho, A. Gupta, K.J. Hatanpaa, A. Madabhushi and P. TiwariAmerican Journal of Neuroradiology March 2019, 40 (3) 412-417; DOI: https://doi.org/10.3174/ajnr.A5958
The authors sought to investigate whether co-occurrence of local anisotropic gradient orientations (COLLAGE) measurements from posttreatment gadolinium-contrast T1WI could distinguish varying extents of cerebral radiation necrosis and recurrent tumor classes in a lesion across primary and metastatic brain tumors. On 75 gadolinium-contrast T1WI studies obtained from patients with primary and metastatic brain tumors and nasopharyngeal carcinoma, the extent of cerebral radiation necrosis and recurrent tumor in every brain lesion was histopathologically defined by a neuropathologist as the following: 1) “pure” cerebral radiation necrosis; 2) “mixed” pathology with coexistence of cerebral radiation necrosis and recurrent tumors; 3) “predominant” (>80%) cerebral radiation necrosis; 4) predominant (>80%) recurrent tumor; and 5) pure tumor. COLLAGE features were extracted from the expert-annotated ROIs on MR imaging. COLLAGE features exhibited decreased skewness for patients with pure and predominant cerebral radiation necrosis and were statistically significantly different from those in patients with predominant recurrent tumors, which had highly skewed COLLAGE values.
H
Hackett, P.H.
- Adult BrainYou have accessAcute and Evolving MRI of High-Altitude Cerebral Edema: Microbleeds, Edema, and PathophysiologyP.H. Hackett, P.R. Yarnell, D.A. Weiland and K.B. ReynardAmerican Journal of Neuroradiology March 2019, 40 (3) 464-469; DOI: https://doi.org/10.3174/ajnr.A5897
Hagemeier, J.
- Adult BrainYou have accessA Serial 10-Year Follow-Up Study of Atrophied Brain Lesion Volume and Disability Progression in Patients with Relapsing-Remitting MSR. Zivadinov, D. Horakova, N. Bergsland, J. Hagemeier, D.P. Ramasamy, T. Uher, M. Vaneckova, E. Havrdova and M.G. DwyerAmerican Journal of Neuroradiology March 2019, 40 (3) 446-452; DOI: https://doi.org/10.3174/ajnr.A5987
Hagen, F.
- EDITOR'S CHOICEInterventionalYou have accessEndovascular Treatment of Unruptured MCA Bifurcation Aneurysms Regardless of Aneurysm Morphology: Short- and Long-Term Follow-UpF. Hagen, C.J. Maurer and A. BerlisAmerican Journal of Neuroradiology March 2019, 40 (3) 503-509; DOI: https://doi.org/10.3174/ajnr.A5977
Between May 2008 and July 2017, endovascular treatment of 1184 aneurysms in 827 patients was performed in a single institution. Twenty-four percent of these aneurysms were located at the MCA, and 150 unruptured MCA bifurcation aneurysms treated with coiling, stent-assistedcoiling, or endovascular flow diverter (WEB device) were identified for this retrospective data analysis. The procedure-associated good clinical outcome was 89.9%, and the mortality rate was 2.7%. Short-term follow-up good clinical outcome/mortality rates were 91.3%/0.7%. At discharge, 137 patients had an mRS of 0–2 (91.3%) and 13 had an mRS of 3–6 (8.7%). The authors conclude that regardless of the architecture of MCA bifurcation aneurysms, endovascular treatment can be performed with low morbidity/mortality rates.
Hahnemann, M.L.
- PediatricsOpen AccessUnderstanding Subdural Collections in Pediatric Abusive Head TraumaD. Wittschieber, B. Karger, H. Pfeiffer and M.L. HahnemannAmerican Journal of Neuroradiology March 2019, 40 (3) 388-395; DOI: https://doi.org/10.3174/ajnr.A5855
Hara, J.H.
- Adult BrainOpen AccessPreoperative MR Imaging to Differentiate Chordoid Meningiomas from Other Meningioma Histologic SubtypesJ.D. Baal, W.C. Chen, D.A. Solomon, J.S. Pai, C.-H. Lucas, J.H. Hara, N.A. Oberheim Bush, M.W. McDermott, D.R. Raleigh and J.E. Villanueva-MeyerAmerican Journal of Neuroradiology March 2019, 40 (3) 433-439; DOI: https://doi.org/10.3174/ajnr.A5996
Hargrave, D.
- PediatricsYou have accessEvaluation of the Implementation of the Response Assessment in Neuro-Oncology Criteria in the HERBY Trial of Pediatric Patients with Newly Diagnosed High-Grade GliomasD. Rodriguez, T. Chambers, M. Warmuth-Metz, E. Sanchez Aliaga, D. Warren, R. Calmon, D. Hargrave, J. Garcia, G. Vassal, J. Grill, G. Zahlmann, P.S. Morgan and T. JaspanAmerican Journal of Neuroradiology March 2019, 40 (3) 568-575; DOI: https://doi.org/10.3174/ajnr.A5982
Hatanpaa, K.J.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessDisorder in Pixel-Level Edge Directions on T1WI Is Associated with the Degree of Radiation Necrosis in Primary and Metastatic Brain Tumors: Preliminary FindingsP. Prasanna, L. Rogers, T.C. Lam, M. Cohen, A. Siddalingappa, L. Wolansky, M. Pinho, A. Gupta, K.J. Hatanpaa, A. Madabhushi and P. TiwariAmerican Journal of Neuroradiology March 2019, 40 (3) 412-417; DOI: https://doi.org/10.3174/ajnr.A5958
The authors sought to investigate whether co-occurrence of local anisotropic gradient orientations (COLLAGE) measurements from posttreatment gadolinium-contrast T1WI could distinguish varying extents of cerebral radiation necrosis and recurrent tumor classes in a lesion across primary and metastatic brain tumors. On 75 gadolinium-contrast T1WI studies obtained from patients with primary and metastatic brain tumors and nasopharyngeal carcinoma, the extent of cerebral radiation necrosis and recurrent tumor in every brain lesion was histopathologically defined by a neuropathologist as the following: 1) “pure” cerebral radiation necrosis; 2) “mixed” pathology with coexistence of cerebral radiation necrosis and recurrent tumors; 3) “predominant” (>80%) cerebral radiation necrosis; 4) predominant (>80%) recurrent tumor; and 5) pure tumor. COLLAGE features were extracted from the expert-annotated ROIs on MR imaging. COLLAGE features exhibited decreased skewness for patients with pure and predominant cerebral radiation necrosis and were statistically significantly different from those in patients with predominant recurrent tumors, which had highly skewed COLLAGE values.
Havrdova, E.
- Adult BrainYou have accessA Serial 10-Year Follow-Up Study of Atrophied Brain Lesion Volume and Disability Progression in Patients with Relapsing-Remitting MSR. Zivadinov, D. Horakova, N. Bergsland, J. Hagemeier, D.P. Ramasamy, T. Uher, M. Vaneckova, E. Havrdova and M.G. DwyerAmerican Journal of Neuroradiology March 2019, 40 (3) 446-452; DOI: https://doi.org/10.3174/ajnr.A5987
Hawkins-Daarud, A.J.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAccurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer LearningL.S. Hu, H. Yoon, J.M. Eschbacher, L.C. Baxter, A.C. Dueck, A. Nespodzany, K.A. Smith, P. Nakaji, Y. Xu, L. Wang, J.P. Karis, A.J. Hawkins-Daarud, K.W. Singleton, P.R. Jackson, B.J. Anderies, B.R. Bendok, R.S. Zimmerman, C. Quarles, A.B. Porter-Umphrey, M.M. Mrugala, A. Sharma, J.M. Hoxworth, M.G. Sattur, N. Sanai, P.E. Koulemberis, C. Krishna, J.R. Mitchell, T. Wu, N.L. Tran, K.R. Swanson and J. LiAmerican Journal of Neuroradiology March 2019, 40 (3) 418-425; DOI: https://doi.org/10.3174/ajnr.A5981
The authors evaluated tumor cell density using a transfer learning method that generates individualized patient models, grounded in the wealth of population data, while also detecting and adjusting for interpatient variabilities based on each patient's own histologic data. They collected 82 image-recorded biopsy samples, from 18 patients with primary GBM. With multivariate modeling, transfer learning improved performance (r = 0.88) compared with one-model-fits-all (r = 0.39). They conclude that transfer learning significantly improves predictive modeling performance for quantifying tumor cell density in glioblastoma.
Heck, D.
- EDITOR'S CHOICEYou have accessImaging of Patients with Suspected Large-Vessel Occlusion at Primary Stroke Centers: Available Modalities and a Suggested ApproachM.A. Almekhlafi, W.G. Kunz, B.K. Menon, R.A. McTaggart, M.V. Jayaraman, B.W. Baxter, D. Heck, D. Frei, C.P. Derdeyn, T. Takagi, A.H. Aamodt, I.M.R. Fragata, M.D. Hill, A.M. Demchuk and M. GoyalAmerican Journal of Neuroradiology March 2019, 40 (3) 396-400; DOI: https://doi.org/10.3174/ajnr.A5971
Endovascular thrombectomy has proven efficacy for a wide range of patients with large-vessel occlusion stroke and in selected cases up to 24 hours from onset. While primary stroke centers have increased the proportion of patients withstroke receiving thrombolytic therapy, delays can be encountereduntil patients with LVO are identified and transferred from the primary stroke center to acomprehensive stroke center. Therefore, any extra steps need to be carefullyweighed. The use of CTA (especially multiphase) at the primary stroke center levelhas many advantages in expediting the transfer of appropriate patients to a comprehensive center.
Hernesniemi, J.
- InterventionalOpen AccessLocal Hemodynamic Conditions Associated with Focal Changes in the Intracranial Aneurysm WallJ.R. Cebral, F. Detmer, B.J. Chung, J. Choque-Velasquez, B. Rezai, H. Lehto, R. Tulamo, J. Hernesniemi, M. Niemela, A. Yu, R. Williamson, K. Aziz, S. Sakur, S. Amin-Hanjani, F. Charbel, Y. Tobe, A. Robertson and J. FrösenAmerican Journal of Neuroradiology March 2019, 40 (3) 510-516; DOI: https://doi.org/10.3174/ajnr.A5970
Hill, M.D.
- EDITOR'S CHOICEYou have accessImaging of Patients with Suspected Large-Vessel Occlusion at Primary Stroke Centers: Available Modalities and a Suggested ApproachM.A. Almekhlafi, W.G. Kunz, B.K. Menon, R.A. McTaggart, M.V. Jayaraman, B.W. Baxter, D. Heck, D. Frei, C.P. Derdeyn, T. Takagi, A.H. Aamodt, I.M.R. Fragata, M.D. Hill, A.M. Demchuk and M. GoyalAmerican Journal of Neuroradiology March 2019, 40 (3) 396-400; DOI: https://doi.org/10.3174/ajnr.A5971
Endovascular thrombectomy has proven efficacy for a wide range of patients with large-vessel occlusion stroke and in selected cases up to 24 hours from onset. While primary stroke centers have increased the proportion of patients withstroke receiving thrombolytic therapy, delays can be encountereduntil patients with LVO are identified and transferred from the primary stroke center to acomprehensive stroke center. Therefore, any extra steps need to be carefullyweighed. The use of CTA (especially multiphase) at the primary stroke center levelhas many advantages in expediting the transfer of appropriate patients to a comprehensive center.
Hoang, A.
- Adult BrainOpen AccessDynamic Contrast-Enhanced MRI Reveals Unique Blood-Brain Barrier Permeability Characteristics in the Hippocampus in the Normal BrainJ. Ivanidze, M. Mackay, A. Hoang, J.M. Chi, K. Cheng, C. Aranow, B. Volpe, B. Diamond and P.C. SanelliAmerican Journal of Neuroradiology March 2019, 40 (3) 408-411; DOI: https://doi.org/10.3174/ajnr.A5962
- Adult BrainOpen AccessAlterations in Blood-Brain Barrier Permeability in Patients with Systemic Lupus ErythematosusJ.M. Chi, M. Mackay, A. Hoang, K. Cheng, C. Aranow, J. Ivanidze, B. Volpe, B. Diamond and P.C. SanelliAmerican Journal of Neuroradiology March 2019, 40 (3) 470-477; DOI: https://doi.org/10.3174/ajnr.A5990
Hoch, M.J.
- EDITOR'S CHOICEAdult BrainOpen Access3T MRI Whole-Brain Microscopy Discrimination of Subcortical Anatomy, Part 1: Brain StemM.J. Hoch, M.T. Bruno, A. Faustin, N. Cruz, L. Crandall, T. Wisniewski, O. Devinsky and T.M. ShepherdAmerican Journal of Neuroradiology March 2019, 40 (3) 401-407; DOI: https://doi.org/10.3174/ajnr.A5956
The authors applied an optimized TSE T2 sequence to washed postmortem brain samples to reveal exquisite and reproducible brain stem anatomic MR imaging contrast comparable with histologic atlases. Direct TSE MR imaging sequence discrimination of brain stem anatomy can help validate other MR imaging contrasts, such as diffusion tractography, or serve as a structural template for extracting quantitative MR imaging data in future postmortem investigations.
Hong, J.-S.
- InterventionalOpen AccessValidating the Automatic Independent Component Analysis of DSAJ.-S. Hong, Y.-H. Kao, F.-C. Chang and C.-J. LinAmerican Journal of Neuroradiology March 2019, 40 (3) 540-542; DOI: https://doi.org/10.3174/ajnr.A5963
Horakova, D.
- Adult BrainYou have accessA Serial 10-Year Follow-Up Study of Atrophied Brain Lesion Volume and Disability Progression in Patients with Relapsing-Remitting MSR. Zivadinov, D. Horakova, N. Bergsland, J. Hagemeier, D.P. Ramasamy, T. Uher, M. Vaneckova, E. Havrdova and M.G. DwyerAmerican Journal of Neuroradiology March 2019, 40 (3) 446-452; DOI: https://doi.org/10.3174/ajnr.A5987
Hoxworth, J.M.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAccurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer LearningL.S. Hu, H. Yoon, J.M. Eschbacher, L.C. Baxter, A.C. Dueck, A. Nespodzany, K.A. Smith, P. Nakaji, Y. Xu, L. Wang, J.P. Karis, A.J. Hawkins-Daarud, K.W. Singleton, P.R. Jackson, B.J. Anderies, B.R. Bendok, R.S. Zimmerman, C. Quarles, A.B. Porter-Umphrey, M.M. Mrugala, A. Sharma, J.M. Hoxworth, M.G. Sattur, N. Sanai, P.E. Koulemberis, C. Krishna, J.R. Mitchell, T. Wu, N.L. Tran, K.R. Swanson and J. LiAmerican Journal of Neuroradiology March 2019, 40 (3) 418-425; DOI: https://doi.org/10.3174/ajnr.A5981
The authors evaluated tumor cell density using a transfer learning method that generates individualized patient models, grounded in the wealth of population data, while also detecting and adjusting for interpatient variabilities based on each patient's own histologic data. They collected 82 image-recorded biopsy samples, from 18 patients with primary GBM. With multivariate modeling, transfer learning improved performance (r = 0.88) compared with one-model-fits-all (r = 0.39). They conclude that transfer learning significantly improves predictive modeling performance for quantifying tumor cell density in glioblastoma.
Hu, L.S.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAccurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer LearningL.S. Hu, H. Yoon, J.M. Eschbacher, L.C. Baxter, A.C. Dueck, A. Nespodzany, K.A. Smith, P. Nakaji, Y. Xu, L. Wang, J.P. Karis, A.J. Hawkins-Daarud, K.W. Singleton, P.R. Jackson, B.J. Anderies, B.R. Bendok, R.S. Zimmerman, C. Quarles, A.B. Porter-Umphrey, M.M. Mrugala, A. Sharma, J.M. Hoxworth, M.G. Sattur, N. Sanai, P.E. Koulemberis, C. Krishna, J.R. Mitchell, T. Wu, N.L. Tran, K.R. Swanson and J. LiAmerican Journal of Neuroradiology March 2019, 40 (3) 418-425; DOI: https://doi.org/10.3174/ajnr.A5981
The authors evaluated tumor cell density using a transfer learning method that generates individualized patient models, grounded in the wealth of population data, while also detecting and adjusting for interpatient variabilities based on each patient's own histologic data. They collected 82 image-recorded biopsy samples, from 18 patients with primary GBM. With multivariate modeling, transfer learning improved performance (r = 0.88) compared with one-model-fits-all (r = 0.39). They conclude that transfer learning significantly improves predictive modeling performance for quantifying tumor cell density in glioblastoma.
Hygino da Cruz, L.C.
- LETTERYou have accessHigh-Resolution Vessel Wall MR Imaging as an Alternative to Brain BiopsyD.G. Corrêa and L.C. Hygino da CruzAmerican Journal of Neuroradiology March 2019, 40 (3) E17-E18; DOI: https://doi.org/10.3174/ajnr.A5950
I
Inácio, N.M.
- Adult BrainYou have accessFocal Hypoperfusion in Acute Ischemic Stroke Perfusion CT: Clinical and Radiologic Predictors and Accuracy for Infarct PredictionO. Bill, N.M. Inácio, D. Lambrou, M. Wintermark, G. Ntaios, V. Dunet and P. MichelAmerican Journal of Neuroradiology March 2019, 40 (3) 483-489; DOI: https://doi.org/10.3174/ajnr.A5984
Ivanidze, J.
- Adult BrainOpen AccessDynamic Contrast-Enhanced MRI Reveals Unique Blood-Brain Barrier Permeability Characteristics in the Hippocampus in the Normal BrainJ. Ivanidze, M. Mackay, A. Hoang, J.M. Chi, K. Cheng, C. Aranow, B. Volpe, B. Diamond and P.C. SanelliAmerican Journal of Neuroradiology March 2019, 40 (3) 408-411; DOI: https://doi.org/10.3174/ajnr.A5962
- Adult BrainOpen AccessAlterations in Blood-Brain Barrier Permeability in Patients with Systemic Lupus ErythematosusJ.M. Chi, M. Mackay, A. Hoang, K. Cheng, C. Aranow, J. Ivanidze, B. Volpe, B. Diamond and P.C. SanelliAmerican Journal of Neuroradiology March 2019, 40 (3) 470-477; DOI: https://doi.org/10.3174/ajnr.A5990
J
Jackson, P.R.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAccurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer LearningL.S. Hu, H. Yoon, J.M. Eschbacher, L.C. Baxter, A.C. Dueck, A. Nespodzany, K.A. Smith, P. Nakaji, Y. Xu, L. Wang, J.P. Karis, A.J. Hawkins-Daarud, K.W. Singleton, P.R. Jackson, B.J. Anderies, B.R. Bendok, R.S. Zimmerman, C. Quarles, A.B. Porter-Umphrey, M.M. Mrugala, A. Sharma, J.M. Hoxworth, M.G. Sattur, N. Sanai, P.E. Koulemberis, C. Krishna, J.R. Mitchell, T. Wu, N.L. Tran, K.R. Swanson and J. LiAmerican Journal of Neuroradiology March 2019, 40 (3) 418-425; DOI: https://doi.org/10.3174/ajnr.A5981
The authors evaluated tumor cell density using a transfer learning method that generates individualized patient models, grounded in the wealth of population data, while also detecting and adjusting for interpatient variabilities based on each patient's own histologic data. They collected 82 image-recorded biopsy samples, from 18 patients with primary GBM. With multivariate modeling, transfer learning improved performance (r = 0.88) compared with one-model-fits-all (r = 0.39). They conclude that transfer learning significantly improves predictive modeling performance for quantifying tumor cell density in glioblastoma.
Jain, R.
- FELLOWS' JOURNAL CLUBAdult BrainYou have accessNeuroimaging-Based Classification Algorithm for Predicting 1p/19q-Codeletion Status in IDH-Mutant Lower Grade GliomasP.P. Batchala, T.J.E. Muttikkal, J.H. Donahue, J.T. Patrie, D. Schiff, C.E. Fadul, E.K. Mrachek, M.-B. Lopes, R. Jain and S.H. PatelAmerican Journal of Neuroradiology March 2019, 40 (3) 426-432; DOI: https://doi.org/10.3174/ajnr.A5957
One hundred two IDH-mutant lower grade gliomas with preoperative MR imaging and known 1p/19q status from The Cancer Genome Atlas composed a training dataset. Two neuroradiologists in consensus analyzed the training dataset for various imaging features: tumor or cyst texture, margins, cortical infiltration, T2-FLAIR mismatch, tumor cyst, T2* susceptibility, hydrocephalus, midline shift, maximum dimension, primary lobe, necrosis, enhancement, edema, and gliomatosis. Statistical analysis of the training data produced a multivariate classification model for codeletion prediction based on a subset of MR imaging features and patient age. Training dataset analysis produced a 2-step classification algorithm with 86.3% codeletion prediction accuracy, based on the following: 1) the presence of the T2-FLAIR mismatch sign, which was 100% predictive of noncodeleted lowergrade gliomas; and 2)a logistic regression model based on texture, patient age, T2* susceptibility, primary lobe, and hydrocephalus. Independent validation ofthe classification algorithm rendered codeletion prediction accuracies of 81.1% and 79.2% in 2 independent readers.
Jaspan, T.
- PediatricsYou have accessEvaluation of the Implementation of the Response Assessment in Neuro-Oncology Criteria in the HERBY Trial of Pediatric Patients with Newly Diagnosed High-Grade GliomasD. Rodriguez, T. Chambers, M. Warmuth-Metz, E. Sanchez Aliaga, D. Warren, R. Calmon, D. Hargrave, J. Garcia, G. Vassal, J. Grill, G. Zahlmann, P.S. Morgan and T. JaspanAmerican Journal of Neuroradiology March 2019, 40 (3) 568-575; DOI: https://doi.org/10.3174/ajnr.A5982
Jayaraman, M.V.
- EDITOR'S CHOICEYou have accessImaging of Patients with Suspected Large-Vessel Occlusion at Primary Stroke Centers: Available Modalities and a Suggested ApproachM.A. Almekhlafi, W.G. Kunz, B.K. Menon, R.A. McTaggart, M.V. Jayaraman, B.W. Baxter, D. Heck, D. Frei, C.P. Derdeyn, T. Takagi, A.H. Aamodt, I.M.R. Fragata, M.D. Hill, A.M. Demchuk and M. GoyalAmerican Journal of Neuroradiology March 2019, 40 (3) 396-400; DOI: https://doi.org/10.3174/ajnr.A5971
Endovascular thrombectomy has proven efficacy for a wide range of patients with large-vessel occlusion stroke and in selected cases up to 24 hours from onset. While primary stroke centers have increased the proportion of patients withstroke receiving thrombolytic therapy, delays can be encountereduntil patients with LVO are identified and transferred from the primary stroke center to acomprehensive stroke center. Therefore, any extra steps need to be carefullyweighed. The use of CTA (especially multiphase) at the primary stroke center levelhas many advantages in expediting the transfer of appropriate patients to a comprehensive center.
Jiang, Y.
- Adult BrainOpen AccessComplementary Roles of Dynamic Contrast-Enhanced MR Imaging and Postcontrast Vessel Wall Imaging in Detecting High-Risk Intracranial AneurysmsH. Qi, X. Liu, P. Liu, W. Yuan, A. Liu, Y. Jiang, Y. Li, J. Sun and H. ChenAmerican Journal of Neuroradiology March 2019, 40 (3) 490-496; DOI: https://doi.org/10.3174/ajnr.A5983
K
Kao, Y.-H.
- InterventionalOpen AccessValidating the Automatic Independent Component Analysis of DSAJ.-S. Hong, Y.-H. Kao, F.-C. Chang and C.-J. LinAmerican Journal of Neuroradiology March 2019, 40 (3) 540-542; DOI: https://doi.org/10.3174/ajnr.A5963
Karger, B.
- PediatricsOpen AccessUnderstanding Subdural Collections in Pediatric Abusive Head TraumaD. Wittschieber, B. Karger, H. Pfeiffer and M.L. HahnemannAmerican Journal of Neuroradiology March 2019, 40 (3) 388-395; DOI: https://doi.org/10.3174/ajnr.A5855
Karis, J.P.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAccurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer LearningL.S. Hu, H. Yoon, J.M. Eschbacher, L.C. Baxter, A.C. Dueck, A. Nespodzany, K.A. Smith, P. Nakaji, Y. Xu, L. Wang, J.P. Karis, A.J. Hawkins-Daarud, K.W. Singleton, P.R. Jackson, B.J. Anderies, B.R. Bendok, R.S. Zimmerman, C. Quarles, A.B. Porter-Umphrey, M.M. Mrugala, A. Sharma, J.M. Hoxworth, M.G. Sattur, N. Sanai, P.E. Koulemberis, C. Krishna, J.R. Mitchell, T. Wu, N.L. Tran, K.R. Swanson and J. LiAmerican Journal of Neuroradiology March 2019, 40 (3) 418-425; DOI: https://doi.org/10.3174/ajnr.A5981
The authors evaluated tumor cell density using a transfer learning method that generates individualized patient models, grounded in the wealth of population data, while also detecting and adjusting for interpatient variabilities based on each patient's own histologic data. They collected 82 image-recorded biopsy samples, from 18 patients with primary GBM. With multivariate modeling, transfer learning improved performance (r = 0.88) compared with one-model-fits-all (r = 0.39). They conclude that transfer learning significantly improves predictive modeling performance for quantifying tumor cell density in glioblastoma.
Kasprian, G.
- PediatricsOpen AccessUnderdevelopment of the Human Hippocampus in Callosal Agenesis: An In Vivo Fetal MRI StudyV. Knezović, G. Kasprian, A. Štajduhar, E. Schwartz, M. Weber, G.M. Gruber, P.C. Brugger, D. Prayer and M. VukšićAmerican Journal of Neuroradiology March 2019, 40 (3) 576-581; DOI: https://doi.org/10.3174/ajnr.A5986
Knezović, V.
- PediatricsOpen AccessUnderdevelopment of the Human Hippocampus in Callosal Agenesis: An In Vivo Fetal MRI StudyV. Knezović, G. Kasprian, A. Štajduhar, E. Schwartz, M. Weber, G.M. Gruber, P.C. Brugger, D. Prayer and M. VukšićAmerican Journal of Neuroradiology March 2019, 40 (3) 576-581; DOI: https://doi.org/10.3174/ajnr.A5986
Koulemberis, P.E.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAccurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer LearningL.S. Hu, H. Yoon, J.M. Eschbacher, L.C. Baxter, A.C. Dueck, A. Nespodzany, K.A. Smith, P. Nakaji, Y. Xu, L. Wang, J.P. Karis, A.J. Hawkins-Daarud, K.W. Singleton, P.R. Jackson, B.J. Anderies, B.R. Bendok, R.S. Zimmerman, C. Quarles, A.B. Porter-Umphrey, M.M. Mrugala, A. Sharma, J.M. Hoxworth, M.G. Sattur, N. Sanai, P.E. Koulemberis, C. Krishna, J.R. Mitchell, T. Wu, N.L. Tran, K.R. Swanson and J. LiAmerican Journal of Neuroradiology March 2019, 40 (3) 418-425; DOI: https://doi.org/10.3174/ajnr.A5981
The authors evaluated tumor cell density using a transfer learning method that generates individualized patient models, grounded in the wealth of population data, while also detecting and adjusting for interpatient variabilities based on each patient's own histologic data. They collected 82 image-recorded biopsy samples, from 18 patients with primary GBM. With multivariate modeling, transfer learning improved performance (r = 0.88) compared with one-model-fits-all (r = 0.39). They conclude that transfer learning significantly improves predictive modeling performance for quantifying tumor cell density in glioblastoma.
Krishna, C.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAccurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer LearningL.S. Hu, H. Yoon, J.M. Eschbacher, L.C. Baxter, A.C. Dueck, A. Nespodzany, K.A. Smith, P. Nakaji, Y. Xu, L. Wang, J.P. Karis, A.J. Hawkins-Daarud, K.W. Singleton, P.R. Jackson, B.J. Anderies, B.R. Bendok, R.S. Zimmerman, C. Quarles, A.B. Porter-Umphrey, M.M. Mrugala, A. Sharma, J.M. Hoxworth, M.G. Sattur, N. Sanai, P.E. Koulemberis, C. Krishna, J.R. Mitchell, T. Wu, N.L. Tran, K.R. Swanson and J. LiAmerican Journal of Neuroradiology March 2019, 40 (3) 418-425; DOI: https://doi.org/10.3174/ajnr.A5981
The authors evaluated tumor cell density using a transfer learning method that generates individualized patient models, grounded in the wealth of population data, while also detecting and adjusting for interpatient variabilities based on each patient's own histologic data. They collected 82 image-recorded biopsy samples, from 18 patients with primary GBM. With multivariate modeling, transfer learning improved performance (r = 0.88) compared with one-model-fits-all (r = 0.39). They conclude that transfer learning significantly improves predictive modeling performance for quantifying tumor cell density in glioblastoma.
Kuno, H.
- Head & NeckYou have accessCT Texture Analysis of Cervical Lymph Nodes on Contrast-Enhanced [18F] FDG-PET/CT Images to Differentiate Nodal Metastases from Reactive Lymphadenopathy in HIV-Positive Patients with Head and Neck Squamous Cell CarcinomaH. Kuno, N. Garg, M.M. Qureshi, M.N. Chapman, B. Li, S.K. Meibom, M.T. Truong, K. Takumi and O. SakaiAmerican Journal of Neuroradiology March 2019, 40 (3) 543-550; DOI: https://doi.org/10.3174/ajnr.A5974
Kunz, W.G.
- EDITOR'S CHOICEYou have accessImaging of Patients with Suspected Large-Vessel Occlusion at Primary Stroke Centers: Available Modalities and a Suggested ApproachM.A. Almekhlafi, W.G. Kunz, B.K. Menon, R.A. McTaggart, M.V. Jayaraman, B.W. Baxter, D. Heck, D. Frei, C.P. Derdeyn, T. Takagi, A.H. Aamodt, I.M.R. Fragata, M.D. Hill, A.M. Demchuk and M. GoyalAmerican Journal of Neuroradiology March 2019, 40 (3) 396-400; DOI: https://doi.org/10.3174/ajnr.A5971
Endovascular thrombectomy has proven efficacy for a wide range of patients with large-vessel occlusion stroke and in selected cases up to 24 hours from onset. While primary stroke centers have increased the proportion of patients withstroke receiving thrombolytic therapy, delays can be encountereduntil patients with LVO are identified and transferred from the primary stroke center to acomprehensive stroke center. Therefore, any extra steps need to be carefullyweighed. The use of CTA (especially multiphase) at the primary stroke center levelhas many advantages in expediting the transfer of appropriate patients to a comprehensive center.
L
Lai, P.-H.
- Adult BrainOpen AccessLongitudinal White Matter Changes following Carbon Monoxide Poisoning: A 9-Month Follow-Up Voxelwise Diffusional Kurtosis Imaging StudyM.-C. Chou, J.-Y. Li and P.-H. LaiAmerican Journal of Neuroradiology March 2019, 40 (3) 478-482; DOI: https://doi.org/10.3174/ajnr.A5979
Laiso, A.
- InterventionalYou have accessFlow-Diversion Treatment of Unruptured Saccular Anterior Communicating Artery Aneurysms: A Systematic Review and Meta-AnalysisF. Cagnazzo, N. Limbucci, S. Nappini, L. Renieri, A. Rosi, A. Laiso, D. Tiziano di Carlo, P. Perrini and S. MangiaficoAmerican Journal of Neuroradiology March 2019, 40 (3) 497-502; DOI: https://doi.org/10.3174/ajnr.A5967
Lam, T.C.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessDisorder in Pixel-Level Edge Directions on T1WI Is Associated with the Degree of Radiation Necrosis in Primary and Metastatic Brain Tumors: Preliminary FindingsP. Prasanna, L. Rogers, T.C. Lam, M. Cohen, A. Siddalingappa, L. Wolansky, M. Pinho, A. Gupta, K.J. Hatanpaa, A. Madabhushi and P. TiwariAmerican Journal of Neuroradiology March 2019, 40 (3) 412-417; DOI: https://doi.org/10.3174/ajnr.A5958
The authors sought to investigate whether co-occurrence of local anisotropic gradient orientations (COLLAGE) measurements from posttreatment gadolinium-contrast T1WI could distinguish varying extents of cerebral radiation necrosis and recurrent tumor classes in a lesion across primary and metastatic brain tumors. On 75 gadolinium-contrast T1WI studies obtained from patients with primary and metastatic brain tumors and nasopharyngeal carcinoma, the extent of cerebral radiation necrosis and recurrent tumor in every brain lesion was histopathologically defined by a neuropathologist as the following: 1) “pure” cerebral radiation necrosis; 2) “mixed” pathology with coexistence of cerebral radiation necrosis and recurrent tumors; 3) “predominant” (>80%) cerebral radiation necrosis; 4) predominant (>80%) recurrent tumor; and 5) pure tumor. COLLAGE features were extracted from the expert-annotated ROIs on MR imaging. COLLAGE features exhibited decreased skewness for patients with pure and predominant cerebral radiation necrosis and were statistically significantly different from those in patients with predominant recurrent tumors, which had highly skewed COLLAGE values.
Lambrou, D.
- Adult BrainYou have accessFocal Hypoperfusion in Acute Ischemic Stroke Perfusion CT: Clinical and Radiologic Predictors and Accuracy for Infarct PredictionO. Bill, N.M. Inácio, D. Lambrou, M. Wintermark, G. Ntaios, V. Dunet and P. MichelAmerican Journal of Neuroradiology March 2019, 40 (3) 483-489; DOI: https://doi.org/10.3174/ajnr.A5984
Langkammer, C.
- Adult BrainOpen AccessQuantitative Susceptibility Mapping to Assess Cerebral Vascular ComplianceC. Birkl, C. Langkammer, P. Sati, C. Enzinger, F. Fazekas and S. RopeleAmerican Journal of Neuroradiology March 2019, 40 (3) 460-463; DOI: https://doi.org/10.3174/ajnr.A5933
Larsson, E.-M.
- Adult BrainYou have accessAqueductal CSF Stroke Volume Is Increased in Patients with Idiopathic Normal Pressure Hydrocephalus and Decreases after Shunt SurgeryJ. Shanks, K. Markenroth Bloch, K. Laurell, K.G. Cesarini, M. Fahlström, E.-M. Larsson and J. VirhammarAmerican Journal of Neuroradiology March 2019, 40 (3) 453-459; DOI: https://doi.org/10.3174/ajnr.A5972
Laurell, K.
- Adult BrainYou have accessAqueductal CSF Stroke Volume Is Increased in Patients with Idiopathic Normal Pressure Hydrocephalus and Decreases after Shunt SurgeryJ. Shanks, K. Markenroth Bloch, K. Laurell, K.G. Cesarini, M. Fahlström, E.-M. Larsson and J. VirhammarAmerican Journal of Neuroradiology March 2019, 40 (3) 453-459; DOI: https://doi.org/10.3174/ajnr.A5972
le Clainche, A.
- InterventionalOpen AccessAneurysm Characteristics, Study Population, and Endovascular Techniques for the Treatment of Intracranial Aneurysms in a Large, Prospective, Multicenter Cohort: Results of the Analysis of Recanalization after Endovascular Treatment of Intracranial Aneurysm StudyM. Gawlitza, S. Soize, C. Barbe, A. le Clainche, P. White, L. Spelle and L. Pierot ARETA Study GroupAmerican Journal of Neuroradiology March 2019, 40 (3) 517-523; DOI: https://doi.org/10.3174/ajnr.A5991
Lee, P.
- Adult BrainYou have accessImproved Detection of Subtle Mesial Temporal Sclerosis: Validation of a Commercially Available Software for Automated Segmentation of Hippocampal VolumeJ.M. Mettenburg, B.F. Branstetter, C.A. Wiley, P. Lee and R.M. RichardsonAmerican Journal of Neuroradiology March 2019, 40 (3) 440-445; DOI: https://doi.org/10.3174/ajnr.A5966
Lehto, H.
- InterventionalOpen AccessLocal Hemodynamic Conditions Associated with Focal Changes in the Intracranial Aneurysm WallJ.R. Cebral, F. Detmer, B.J. Chung, J. Choque-Velasquez, B. Rezai, H. Lehto, R. Tulamo, J. Hernesniemi, M. Niemela, A. Yu, R. Williamson, K. Aziz, S. Sakur, S. Amin-Hanjani, F. Charbel, Y. Tobe, A. Robertson and J. FrösenAmerican Journal of Neuroradiology March 2019, 40 (3) 510-516; DOI: https://doi.org/10.3174/ajnr.A5970
Lev, M.H.
- MemorialYou have accessRobert H. Ackerman, MD, MPH (1935–2018)M.H. Lev, J.M. Romero, L.H. Schwamm, M.E. Cudkowicz and J.A. BrinkAmerican Journal of Neuroradiology March 2019, 40 (3) E12-E13; DOI: https://doi.org/10.3174/ajnr.A5989
Li, B.
- Head & NeckYou have accessCT Texture Analysis of Cervical Lymph Nodes on Contrast-Enhanced [18F] FDG-PET/CT Images to Differentiate Nodal Metastases from Reactive Lymphadenopathy in HIV-Positive Patients with Head and Neck Squamous Cell CarcinomaH. Kuno, N. Garg, M.M. Qureshi, M.N. Chapman, B. Li, S.K. Meibom, M.T. Truong, K. Takumi and O. SakaiAmerican Journal of Neuroradiology March 2019, 40 (3) 543-550; DOI: https://doi.org/10.3174/ajnr.A5974
Li, J.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAccurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer LearningL.S. Hu, H. Yoon, J.M. Eschbacher, L.C. Baxter, A.C. Dueck, A. Nespodzany, K.A. Smith, P. Nakaji, Y. Xu, L. Wang, J.P. Karis, A.J. Hawkins-Daarud, K.W. Singleton, P.R. Jackson, B.J. Anderies, B.R. Bendok, R.S. Zimmerman, C. Quarles, A.B. Porter-Umphrey, M.M. Mrugala, A. Sharma, J.M. Hoxworth, M.G. Sattur, N. Sanai, P.E. Koulemberis, C. Krishna, J.R. Mitchell, T. Wu, N.L. Tran, K.R. Swanson and J. LiAmerican Journal of Neuroradiology March 2019, 40 (3) 418-425; DOI: https://doi.org/10.3174/ajnr.A5981
The authors evaluated tumor cell density using a transfer learning method that generates individualized patient models, grounded in the wealth of population data, while also detecting and adjusting for interpatient variabilities based on each patient's own histologic data. They collected 82 image-recorded biopsy samples, from 18 patients with primary GBM. With multivariate modeling, transfer learning improved performance (r = 0.88) compared with one-model-fits-all (r = 0.39). They conclude that transfer learning significantly improves predictive modeling performance for quantifying tumor cell density in glioblastoma.
Li, J.-Y.
- Adult BrainOpen AccessLongitudinal White Matter Changes following Carbon Monoxide Poisoning: A 9-Month Follow-Up Voxelwise Diffusional Kurtosis Imaging StudyM.-C. Chou, J.-Y. Li and P.-H. LaiAmerican Journal of Neuroradiology March 2019, 40 (3) 478-482; DOI: https://doi.org/10.3174/ajnr.A5979
Li, Y.
- Adult BrainOpen AccessComplementary Roles of Dynamic Contrast-Enhanced MR Imaging and Postcontrast Vessel Wall Imaging in Detecting High-Risk Intracranial AneurysmsH. Qi, X. Liu, P. Liu, W. Yuan, A. Liu, Y. Jiang, Y. Li, J. Sun and H. ChenAmerican Journal of Neuroradiology March 2019, 40 (3) 490-496; DOI: https://doi.org/10.3174/ajnr.A5983
Limbucci, N.
- InterventionalYou have accessFlow-Diversion Treatment of Unruptured Saccular Anterior Communicating Artery Aneurysms: A Systematic Review and Meta-AnalysisF. Cagnazzo, N. Limbucci, S. Nappini, L. Renieri, A. Rosi, A. Laiso, D. Tiziano di Carlo, P. Perrini and S. MangiaficoAmerican Journal of Neuroradiology March 2019, 40 (3) 497-502; DOI: https://doi.org/10.3174/ajnr.A5967
Lin, C.-J.
- InterventionalOpen AccessValidating the Automatic Independent Component Analysis of DSAJ.-S. Hong, Y.-H. Kao, F.-C. Chang and C.-J. LinAmerican Journal of Neuroradiology March 2019, 40 (3) 540-542; DOI: https://doi.org/10.3174/ajnr.A5963
Liu, A.
- Adult BrainOpen AccessComplementary Roles of Dynamic Contrast-Enhanced MR Imaging and Postcontrast Vessel Wall Imaging in Detecting High-Risk Intracranial AneurysmsH. Qi, X. Liu, P. Liu, W. Yuan, A. Liu, Y. Jiang, Y. Li, J. Sun and H. ChenAmerican Journal of Neuroradiology March 2019, 40 (3) 490-496; DOI: https://doi.org/10.3174/ajnr.A5983
Liu, P.
- Adult BrainOpen AccessComplementary Roles of Dynamic Contrast-Enhanced MR Imaging and Postcontrast Vessel Wall Imaging in Detecting High-Risk Intracranial AneurysmsH. Qi, X. Liu, P. Liu, W. Yuan, A. Liu, Y. Jiang, Y. Li, J. Sun and H. ChenAmerican Journal of Neuroradiology March 2019, 40 (3) 490-496; DOI: https://doi.org/10.3174/ajnr.A5983
Liu, X.
- Adult BrainOpen AccessComplementary Roles of Dynamic Contrast-Enhanced MR Imaging and Postcontrast Vessel Wall Imaging in Detecting High-Risk Intracranial AneurysmsH. Qi, X. Liu, P. Liu, W. Yuan, A. Liu, Y. Jiang, Y. Li, J. Sun and H. ChenAmerican Journal of Neuroradiology March 2019, 40 (3) 490-496; DOI: https://doi.org/10.3174/ajnr.A5983
Lopes, M.-B.
- FELLOWS' JOURNAL CLUBAdult BrainYou have accessNeuroimaging-Based Classification Algorithm for Predicting 1p/19q-Codeletion Status in IDH-Mutant Lower Grade GliomasP.P. Batchala, T.J.E. Muttikkal, J.H. Donahue, J.T. Patrie, D. Schiff, C.E. Fadul, E.K. Mrachek, M.-B. Lopes, R. Jain and S.H. PatelAmerican Journal of Neuroradiology March 2019, 40 (3) 426-432; DOI: https://doi.org/10.3174/ajnr.A5957
One hundred two IDH-mutant lower grade gliomas with preoperative MR imaging and known 1p/19q status from The Cancer Genome Atlas composed a training dataset. Two neuroradiologists in consensus analyzed the training dataset for various imaging features: tumor or cyst texture, margins, cortical infiltration, T2-FLAIR mismatch, tumor cyst, T2* susceptibility, hydrocephalus, midline shift, maximum dimension, primary lobe, necrosis, enhancement, edema, and gliomatosis. Statistical analysis of the training data produced a multivariate classification model for codeletion prediction based on a subset of MR imaging features and patient age. Training dataset analysis produced a 2-step classification algorithm with 86.3% codeletion prediction accuracy, based on the following: 1) the presence of the T2-FLAIR mismatch sign, which was 100% predictive of noncodeleted lowergrade gliomas; and 2)a logistic regression model based on texture, patient age, T2* susceptibility, primary lobe, and hydrocephalus. Independent validation ofthe classification algorithm rendered codeletion prediction accuracies of 81.1% and 79.2% in 2 independent readers.
Loveridge, K.M.
- PediatricsYou have accessInfant Midnasal Stenosis: Reliability of Nasal MetricsM.E. Graham, K.M. Loveridge, S.H. Pollard, K.R. Moore and J.R. SkirkoAmerican Journal of Neuroradiology March 2019, 40 (3) 562-567; DOI: https://doi.org/10.3174/ajnr.A5980
Lucas, C.-H.
- Adult BrainOpen AccessPreoperative MR Imaging to Differentiate Chordoid Meningiomas from Other Meningioma Histologic SubtypesJ.D. Baal, W.C. Chen, D.A. Solomon, J.S. Pai, C.-H. Lucas, J.H. Hara, N.A. Oberheim Bush, M.W. McDermott, D.R. Raleigh and J.E. Villanueva-MeyerAmerican Journal of Neuroradiology March 2019, 40 (3) 433-439; DOI: https://doi.org/10.3174/ajnr.A5996
M
Mackay, M.
- Adult BrainOpen AccessDynamic Contrast-Enhanced MRI Reveals Unique Blood-Brain Barrier Permeability Characteristics in the Hippocampus in the Normal BrainJ. Ivanidze, M. Mackay, A. Hoang, J.M. Chi, K. Cheng, C. Aranow, B. Volpe, B. Diamond and P.C. SanelliAmerican Journal of Neuroradiology March 2019, 40 (3) 408-411; DOI: https://doi.org/10.3174/ajnr.A5962
- Adult BrainOpen AccessAlterations in Blood-Brain Barrier Permeability in Patients with Systemic Lupus ErythematosusJ.M. Chi, M. Mackay, A. Hoang, K. Cheng, C. Aranow, J. Ivanidze, B. Volpe, B. Diamond and P.C. SanelliAmerican Journal of Neuroradiology March 2019, 40 (3) 470-477; DOI: https://doi.org/10.3174/ajnr.A5990
Madabhushi, A.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessDisorder in Pixel-Level Edge Directions on T1WI Is Associated with the Degree of Radiation Necrosis in Primary and Metastatic Brain Tumors: Preliminary FindingsP. Prasanna, L. Rogers, T.C. Lam, M. Cohen, A. Siddalingappa, L. Wolansky, M. Pinho, A. Gupta, K.J. Hatanpaa, A. Madabhushi and P. TiwariAmerican Journal of Neuroradiology March 2019, 40 (3) 412-417; DOI: https://doi.org/10.3174/ajnr.A5958
The authors sought to investigate whether co-occurrence of local anisotropic gradient orientations (COLLAGE) measurements from posttreatment gadolinium-contrast T1WI could distinguish varying extents of cerebral radiation necrosis and recurrent tumor classes in a lesion across primary and metastatic brain tumors. On 75 gadolinium-contrast T1WI studies obtained from patients with primary and metastatic brain tumors and nasopharyngeal carcinoma, the extent of cerebral radiation necrosis and recurrent tumor in every brain lesion was histopathologically defined by a neuropathologist as the following: 1) “pure” cerebral radiation necrosis; 2) “mixed” pathology with coexistence of cerebral radiation necrosis and recurrent tumors; 3) “predominant” (>80%) cerebral radiation necrosis; 4) predominant (>80%) recurrent tumor; and 5) pure tumor. COLLAGE features were extracted from the expert-annotated ROIs on MR imaging. COLLAGE features exhibited decreased skewness for patients with pure and predominant cerebral radiation necrosis and were statistically significantly different from those in patients with predominant recurrent tumors, which had highly skewed COLLAGE values.
Mangiafico, S.
- InterventionalYou have accessFlow-Diversion Treatment of Unruptured Saccular Anterior Communicating Artery Aneurysms: A Systematic Review and Meta-AnalysisF. Cagnazzo, N. Limbucci, S. Nappini, L. Renieri, A. Rosi, A. Laiso, D. Tiziano di Carlo, P. Perrini and S. MangiaficoAmerican Journal of Neuroradiology March 2019, 40 (3) 497-502; DOI: https://doi.org/10.3174/ajnr.A5967
Manisor, M.
- InterventionalYou have accessPredictors and Clinical Impact of Delayed Stent Thrombosis after Thrombectomy for Acute Stroke with Tandem LesionsR. Pop, I. Zinchenko, V. Quenardelle, D. Mihoc, M. Manisor, J.S. Richter, F. Severac, M. Simu, S. Chibbaro, O. Rouyer, V. Wolff and R. BeaujeuxAmerican Journal of Neuroradiology March 2019, 40 (3) 533-539; DOI: https://doi.org/10.3174/ajnr.A5976
Markenroth Bloch, K.
- Adult BrainYou have accessAqueductal CSF Stroke Volume Is Increased in Patients with Idiopathic Normal Pressure Hydrocephalus and Decreases after Shunt SurgeryJ. Shanks, K. Markenroth Bloch, K. Laurell, K.G. Cesarini, M. Fahlström, E.-M. Larsson and J. VirhammarAmerican Journal of Neuroradiology March 2019, 40 (3) 453-459; DOI: https://doi.org/10.3174/ajnr.A5972
Maurer, C.J.
- EDITOR'S CHOICEInterventionalYou have accessEndovascular Treatment of Unruptured MCA Bifurcation Aneurysms Regardless of Aneurysm Morphology: Short- and Long-Term Follow-UpF. Hagen, C.J. Maurer and A. BerlisAmerican Journal of Neuroradiology March 2019, 40 (3) 503-509; DOI: https://doi.org/10.3174/ajnr.A5977
Between May 2008 and July 2017, endovascular treatment of 1184 aneurysms in 827 patients was performed in a single institution. Twenty-four percent of these aneurysms were located at the MCA, and 150 unruptured MCA bifurcation aneurysms treated with coiling, stent-assistedcoiling, or endovascular flow diverter (WEB device) were identified for this retrospective data analysis. The procedure-associated good clinical outcome was 89.9%, and the mortality rate was 2.7%. Short-term follow-up good clinical outcome/mortality rates were 91.3%/0.7%. At discharge, 137 patients had an mRS of 0–2 (91.3%) and 13 had an mRS of 3–6 (8.7%). The authors conclude that regardless of the architecture of MCA bifurcation aneurysms, endovascular treatment can be performed with low morbidity/mortality rates.
McDermott, M.W.
- Adult BrainOpen AccessPreoperative MR Imaging to Differentiate Chordoid Meningiomas from Other Meningioma Histologic SubtypesJ.D. Baal, W.C. Chen, D.A. Solomon, J.S. Pai, C.-H. Lucas, J.H. Hara, N.A. Oberheim Bush, M.W. McDermott, D.R. Raleigh and J.E. Villanueva-MeyerAmerican Journal of Neuroradiology March 2019, 40 (3) 433-439; DOI: https://doi.org/10.3174/ajnr.A5996
McTaggart, R.A.
- EDITOR'S CHOICEYou have accessImaging of Patients with Suspected Large-Vessel Occlusion at Primary Stroke Centers: Available Modalities and a Suggested ApproachM.A. Almekhlafi, W.G. Kunz, B.K. Menon, R.A. McTaggart, M.V. Jayaraman, B.W. Baxter, D. Heck, D. Frei, C.P. Derdeyn, T. Takagi, A.H. Aamodt, I.M.R. Fragata, M.D. Hill, A.M. Demchuk and M. GoyalAmerican Journal of Neuroradiology March 2019, 40 (3) 396-400; DOI: https://doi.org/10.3174/ajnr.A5971
Endovascular thrombectomy has proven efficacy for a wide range of patients with large-vessel occlusion stroke and in selected cases up to 24 hours from onset. While primary stroke centers have increased the proportion of patients withstroke receiving thrombolytic therapy, delays can be encountereduntil patients with LVO are identified and transferred from the primary stroke center to acomprehensive stroke center. Therefore, any extra steps need to be carefullyweighed. The use of CTA (especially multiphase) at the primary stroke center levelhas many advantages in expediting the transfer of appropriate patients to a comprehensive center.
Meibom, S.K.
- Head & NeckYou have accessCT Texture Analysis of Cervical Lymph Nodes on Contrast-Enhanced [18F] FDG-PET/CT Images to Differentiate Nodal Metastases from Reactive Lymphadenopathy in HIV-Positive Patients with Head and Neck Squamous Cell CarcinomaH. Kuno, N. Garg, M.M. Qureshi, M.N. Chapman, B. Li, S.K. Meibom, M.T. Truong, K. Takumi and O. SakaiAmerican Journal of Neuroradiology March 2019, 40 (3) 543-550; DOI: https://doi.org/10.3174/ajnr.A5974
Menon, B.K.
- EDITOR'S CHOICEYou have accessImaging of Patients with Suspected Large-Vessel Occlusion at Primary Stroke Centers: Available Modalities and a Suggested ApproachM.A. Almekhlafi, W.G. Kunz, B.K. Menon, R.A. McTaggart, M.V. Jayaraman, B.W. Baxter, D. Heck, D. Frei, C.P. Derdeyn, T. Takagi, A.H. Aamodt, I.M.R. Fragata, M.D. Hill, A.M. Demchuk and M. GoyalAmerican Journal of Neuroradiology March 2019, 40 (3) 396-400; DOI: https://doi.org/10.3174/ajnr.A5971
Endovascular thrombectomy has proven efficacy for a wide range of patients with large-vessel occlusion stroke and in selected cases up to 24 hours from onset. While primary stroke centers have increased the proportion of patients withstroke receiving thrombolytic therapy, delays can be encountereduntil patients with LVO are identified and transferred from the primary stroke center to acomprehensive stroke center. Therefore, any extra steps need to be carefullyweighed. The use of CTA (especially multiphase) at the primary stroke center levelhas many advantages in expediting the transfer of appropriate patients to a comprehensive center.
Mettenburg, J.M.
- Adult BrainYou have accessImproved Detection of Subtle Mesial Temporal Sclerosis: Validation of a Commercially Available Software for Automated Segmentation of Hippocampal VolumeJ.M. Mettenburg, B.F. Branstetter, C.A. Wiley, P. Lee and R.M. RichardsonAmerican Journal of Neuroradiology March 2019, 40 (3) 440-445; DOI: https://doi.org/10.3174/ajnr.A5966
Michel, P.
- Adult BrainYou have accessFocal Hypoperfusion in Acute Ischemic Stroke Perfusion CT: Clinical and Radiologic Predictors and Accuracy for Infarct PredictionO. Bill, N.M. Inácio, D. Lambrou, M. Wintermark, G. Ntaios, V. Dunet and P. MichelAmerican Journal of Neuroradiology March 2019, 40 (3) 483-489; DOI: https://doi.org/10.3174/ajnr.A5984
Mihoc, D.
- InterventionalYou have accessPredictors and Clinical Impact of Delayed Stent Thrombosis after Thrombectomy for Acute Stroke with Tandem LesionsR. Pop, I. Zinchenko, V. Quenardelle, D. Mihoc, M. Manisor, J.S. Richter, F. Severac, M. Simu, S. Chibbaro, O. Rouyer, V. Wolff and R. BeaujeuxAmerican Journal of Neuroradiology March 2019, 40 (3) 533-539; DOI: https://doi.org/10.3174/ajnr.A5976
Mitchell, J.R.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAccurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer LearningL.S. Hu, H. Yoon, J.M. Eschbacher, L.C. Baxter, A.C. Dueck, A. Nespodzany, K.A. Smith, P. Nakaji, Y. Xu, L. Wang, J.P. Karis, A.J. Hawkins-Daarud, K.W. Singleton, P.R. Jackson, B.J. Anderies, B.R. Bendok, R.S. Zimmerman, C. Quarles, A.B. Porter-Umphrey, M.M. Mrugala, A. Sharma, J.M. Hoxworth, M.G. Sattur, N. Sanai, P.E. Koulemberis, C. Krishna, J.R. Mitchell, T. Wu, N.L. Tran, K.R. Swanson and J. LiAmerican Journal of Neuroradiology March 2019, 40 (3) 418-425; DOI: https://doi.org/10.3174/ajnr.A5981
The authors evaluated tumor cell density using a transfer learning method that generates individualized patient models, grounded in the wealth of population data, while also detecting and adjusting for interpatient variabilities based on each patient's own histologic data. They collected 82 image-recorded biopsy samples, from 18 patients with primary GBM. With multivariate modeling, transfer learning improved performance (r = 0.88) compared with one-model-fits-all (r = 0.39). They conclude that transfer learning significantly improves predictive modeling performance for quantifying tumor cell density in glioblastoma.
Moore, K.R.
- PediatricsYou have accessInfant Midnasal Stenosis: Reliability of Nasal MetricsM.E. Graham, K.M. Loveridge, S.H. Pollard, K.R. Moore and J.R. SkirkoAmerican Journal of Neuroradiology March 2019, 40 (3) 562-567; DOI: https://doi.org/10.3174/ajnr.A5980
Morgan, P.S.
- PediatricsYou have accessEvaluation of the Implementation of the Response Assessment in Neuro-Oncology Criteria in the HERBY Trial of Pediatric Patients with Newly Diagnosed High-Grade GliomasD. Rodriguez, T. Chambers, M. Warmuth-Metz, E. Sanchez Aliaga, D. Warren, R. Calmon, D. Hargrave, J. Garcia, G. Vassal, J. Grill, G. Zahlmann, P.S. Morgan and T. JaspanAmerican Journal of Neuroradiology March 2019, 40 (3) 568-575; DOI: https://doi.org/10.3174/ajnr.A5982
Moritani, T.
- LETTERYou have accessEngorged Medullary Veins in Neurosarcoidosis: A Reflection of Underlying Phlebitis?G. Bathla, N. Soni, T. Moritani and A.A. CapizzanoAmerican Journal of Neuroradiology March 2019, 40 (3) E14-E15; DOI: https://doi.org/10.3174/ajnr.A5951
Mrachek, E.K.
- FELLOWS' JOURNAL CLUBAdult BrainYou have accessNeuroimaging-Based Classification Algorithm for Predicting 1p/19q-Codeletion Status in IDH-Mutant Lower Grade GliomasP.P. Batchala, T.J.E. Muttikkal, J.H. Donahue, J.T. Patrie, D. Schiff, C.E. Fadul, E.K. Mrachek, M.-B. Lopes, R. Jain and S.H. PatelAmerican Journal of Neuroradiology March 2019, 40 (3) 426-432; DOI: https://doi.org/10.3174/ajnr.A5957
One hundred two IDH-mutant lower grade gliomas with preoperative MR imaging and known 1p/19q status from The Cancer Genome Atlas composed a training dataset. Two neuroradiologists in consensus analyzed the training dataset for various imaging features: tumor or cyst texture, margins, cortical infiltration, T2-FLAIR mismatch, tumor cyst, T2* susceptibility, hydrocephalus, midline shift, maximum dimension, primary lobe, necrosis, enhancement, edema, and gliomatosis. Statistical analysis of the training data produced a multivariate classification model for codeletion prediction based on a subset of MR imaging features and patient age. Training dataset analysis produced a 2-step classification algorithm with 86.3% codeletion prediction accuracy, based on the following: 1) the presence of the T2-FLAIR mismatch sign, which was 100% predictive of noncodeleted lowergrade gliomas; and 2)a logistic regression model based on texture, patient age, T2* susceptibility, primary lobe, and hydrocephalus. Independent validation ofthe classification algorithm rendered codeletion prediction accuracies of 81.1% and 79.2% in 2 independent readers.
Mrugala, M.M.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAccurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer LearningL.S. Hu, H. Yoon, J.M. Eschbacher, L.C. Baxter, A.C. Dueck, A. Nespodzany, K.A. Smith, P. Nakaji, Y. Xu, L. Wang, J.P. Karis, A.J. Hawkins-Daarud, K.W. Singleton, P.R. Jackson, B.J. Anderies, B.R. Bendok, R.S. Zimmerman, C. Quarles, A.B. Porter-Umphrey, M.M. Mrugala, A. Sharma, J.M. Hoxworth, M.G. Sattur, N. Sanai, P.E. Koulemberis, C. Krishna, J.R. Mitchell, T. Wu, N.L. Tran, K.R. Swanson and J. LiAmerican Journal of Neuroradiology March 2019, 40 (3) 418-425; DOI: https://doi.org/10.3174/ajnr.A5981
The authors evaluated tumor cell density using a transfer learning method that generates individualized patient models, grounded in the wealth of population data, while also detecting and adjusting for interpatient variabilities based on each patient's own histologic data. They collected 82 image-recorded biopsy samples, from 18 patients with primary GBM. With multivariate modeling, transfer learning improved performance (r = 0.88) compared with one-model-fits-all (r = 0.39). They conclude that transfer learning significantly improves predictive modeling performance for quantifying tumor cell density in glioblastoma.
Muttikkal, T.J.E.
- FELLOWS' JOURNAL CLUBAdult BrainYou have accessNeuroimaging-Based Classification Algorithm for Predicting 1p/19q-Codeletion Status in IDH-Mutant Lower Grade GliomasP.P. Batchala, T.J.E. Muttikkal, J.H. Donahue, J.T. Patrie, D. Schiff, C.E. Fadul, E.K. Mrachek, M.-B. Lopes, R. Jain and S.H. PatelAmerican Journal of Neuroradiology March 2019, 40 (3) 426-432; DOI: https://doi.org/10.3174/ajnr.A5957
One hundred two IDH-mutant lower grade gliomas with preoperative MR imaging and known 1p/19q status from The Cancer Genome Atlas composed a training dataset. Two neuroradiologists in consensus analyzed the training dataset for various imaging features: tumor or cyst texture, margins, cortical infiltration, T2-FLAIR mismatch, tumor cyst, T2* susceptibility, hydrocephalus, midline shift, maximum dimension, primary lobe, necrosis, enhancement, edema, and gliomatosis. Statistical analysis of the training data produced a multivariate classification model for codeletion prediction based on a subset of MR imaging features and patient age. Training dataset analysis produced a 2-step classification algorithm with 86.3% codeletion prediction accuracy, based on the following: 1) the presence of the T2-FLAIR mismatch sign, which was 100% predictive of noncodeleted lowergrade gliomas; and 2)a logistic regression model based on texture, patient age, T2* susceptibility, primary lobe, and hydrocephalus. Independent validation ofthe classification algorithm rendered codeletion prediction accuracies of 81.1% and 79.2% in 2 independent readers.
N
Nakaji, P.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAccurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer LearningL.S. Hu, H. Yoon, J.M. Eschbacher, L.C. Baxter, A.C. Dueck, A. Nespodzany, K.A. Smith, P. Nakaji, Y. Xu, L. Wang, J.P. Karis, A.J. Hawkins-Daarud, K.W. Singleton, P.R. Jackson, B.J. Anderies, B.R. Bendok, R.S. Zimmerman, C. Quarles, A.B. Porter-Umphrey, M.M. Mrugala, A. Sharma, J.M. Hoxworth, M.G. Sattur, N. Sanai, P.E. Koulemberis, C. Krishna, J.R. Mitchell, T. Wu, N.L. Tran, K.R. Swanson and J. LiAmerican Journal of Neuroradiology March 2019, 40 (3) 418-425; DOI: https://doi.org/10.3174/ajnr.A5981
The authors evaluated tumor cell density using a transfer learning method that generates individualized patient models, grounded in the wealth of population data, while also detecting and adjusting for interpatient variabilities based on each patient's own histologic data. They collected 82 image-recorded biopsy samples, from 18 patients with primary GBM. With multivariate modeling, transfer learning improved performance (r = 0.88) compared with one-model-fits-all (r = 0.39). They conclude that transfer learning significantly improves predictive modeling performance for quantifying tumor cell density in glioblastoma.
Nappini, S.
- InterventionalYou have accessFlow-Diversion Treatment of Unruptured Saccular Anterior Communicating Artery Aneurysms: A Systematic Review and Meta-AnalysisF. Cagnazzo, N. Limbucci, S. Nappini, L. Renieri, A. Rosi, A. Laiso, D. Tiziano di Carlo, P. Perrini and S. MangiaficoAmerican Journal of Neuroradiology March 2019, 40 (3) 497-502; DOI: https://doi.org/10.3174/ajnr.A5967
Nespodzany, A.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAccurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer LearningL.S. Hu, H. Yoon, J.M. Eschbacher, L.C. Baxter, A.C. Dueck, A. Nespodzany, K.A. Smith, P. Nakaji, Y. Xu, L. Wang, J.P. Karis, A.J. Hawkins-Daarud, K.W. Singleton, P.R. Jackson, B.J. Anderies, B.R. Bendok, R.S. Zimmerman, C. Quarles, A.B. Porter-Umphrey, M.M. Mrugala, A. Sharma, J.M. Hoxworth, M.G. Sattur, N. Sanai, P.E. Koulemberis, C. Krishna, J.R. Mitchell, T. Wu, N.L. Tran, K.R. Swanson and J. LiAmerican Journal of Neuroradiology March 2019, 40 (3) 418-425; DOI: https://doi.org/10.3174/ajnr.A5981
The authors evaluated tumor cell density using a transfer learning method that generates individualized patient models, grounded in the wealth of population data, while also detecting and adjusting for interpatient variabilities based on each patient's own histologic data. They collected 82 image-recorded biopsy samples, from 18 patients with primary GBM. With multivariate modeling, transfer learning improved performance (r = 0.88) compared with one-model-fits-all (r = 0.39). They conclude that transfer learning significantly improves predictive modeling performance for quantifying tumor cell density in glioblastoma.
Niemela, M.
- InterventionalOpen AccessLocal Hemodynamic Conditions Associated with Focal Changes in the Intracranial Aneurysm WallJ.R. Cebral, F. Detmer, B.J. Chung, J. Choque-Velasquez, B. Rezai, H. Lehto, R. Tulamo, J. Hernesniemi, M. Niemela, A. Yu, R. Williamson, K. Aziz, S. Sakur, S. Amin-Hanjani, F. Charbel, Y. Tobe, A. Robertson and J. FrösenAmerican Journal of Neuroradiology March 2019, 40 (3) 510-516; DOI: https://doi.org/10.3174/ajnr.A5970
Ntaios, G.
- Adult BrainYou have accessFocal Hypoperfusion in Acute Ischemic Stroke Perfusion CT: Clinical and Radiologic Predictors and Accuracy for Infarct PredictionO. Bill, N.M. Inácio, D. Lambrou, M. Wintermark, G. Ntaios, V. Dunet and P. MichelAmerican Journal of Neuroradiology March 2019, 40 (3) 483-489; DOI: https://doi.org/10.3174/ajnr.A5984
O
Oberheim Bush, N.A.
- Adult BrainOpen AccessPreoperative MR Imaging to Differentiate Chordoid Meningiomas from Other Meningioma Histologic SubtypesJ.D. Baal, W.C. Chen, D.A. Solomon, J.S. Pai, C.-H. Lucas, J.H. Hara, N.A. Oberheim Bush, M.W. McDermott, D.R. Raleigh and J.E. Villanueva-MeyerAmerican Journal of Neuroradiology March 2019, 40 (3) 433-439; DOI: https://doi.org/10.3174/ajnr.A5996
Ospel, J.M.
- InterventionalYou have accessComparison of Pipeline Embolization Device Sizing Based on Conventional 2D Measurements and Virtual Simulation Using the Sim&Size Software: An Agreement StudyJ.M. Ospel, G. Gascou, V. Costalat, L. Piergallini, K.A. Blackham and D.W. ZumofenAmerican Journal of Neuroradiology March 2019, 40 (3) 524-530; DOI: https://doi.org/10.3174/ajnr.A5973
P
Pai, J.S.
- Adult BrainOpen AccessPreoperative MR Imaging to Differentiate Chordoid Meningiomas from Other Meningioma Histologic SubtypesJ.D. Baal, W.C. Chen, D.A. Solomon, J.S. Pai, C.-H. Lucas, J.H. Hara, N.A. Oberheim Bush, M.W. McDermott, D.R. Raleigh and J.E. Villanueva-MeyerAmerican Journal of Neuroradiology March 2019, 40 (3) 433-439; DOI: https://doi.org/10.3174/ajnr.A5996
Patel, S.H.
- FELLOWS' JOURNAL CLUBAdult BrainYou have accessNeuroimaging-Based Classification Algorithm for Predicting 1p/19q-Codeletion Status in IDH-Mutant Lower Grade GliomasP.P. Batchala, T.J.E. Muttikkal, J.H. Donahue, J.T. Patrie, D. Schiff, C.E. Fadul, E.K. Mrachek, M.-B. Lopes, R. Jain and S.H. PatelAmerican Journal of Neuroradiology March 2019, 40 (3) 426-432; DOI: https://doi.org/10.3174/ajnr.A5957
One hundred two IDH-mutant lower grade gliomas with preoperative MR imaging and known 1p/19q status from The Cancer Genome Atlas composed a training dataset. Two neuroradiologists in consensus analyzed the training dataset for various imaging features: tumor or cyst texture, margins, cortical infiltration, T2-FLAIR mismatch, tumor cyst, T2* susceptibility, hydrocephalus, midline shift, maximum dimension, primary lobe, necrosis, enhancement, edema, and gliomatosis. Statistical analysis of the training data produced a multivariate classification model for codeletion prediction based on a subset of MR imaging features and patient age. Training dataset analysis produced a 2-step classification algorithm with 86.3% codeletion prediction accuracy, based on the following: 1) the presence of the T2-FLAIR mismatch sign, which was 100% predictive of noncodeleted lowergrade gliomas; and 2)a logistic regression model based on texture, patient age, T2* susceptibility, primary lobe, and hydrocephalus. Independent validation ofthe classification algorithm rendered codeletion prediction accuracies of 81.1% and 79.2% in 2 independent readers.
Patrie, J.T.
- FELLOWS' JOURNAL CLUBAdult BrainYou have accessNeuroimaging-Based Classification Algorithm for Predicting 1p/19q-Codeletion Status in IDH-Mutant Lower Grade GliomasP.P. Batchala, T.J.E. Muttikkal, J.H. Donahue, J.T. Patrie, D. Schiff, C.E. Fadul, E.K. Mrachek, M.-B. Lopes, R. Jain and S.H. PatelAmerican Journal of Neuroradiology March 2019, 40 (3) 426-432; DOI: https://doi.org/10.3174/ajnr.A5957
One hundred two IDH-mutant lower grade gliomas with preoperative MR imaging and known 1p/19q status from The Cancer Genome Atlas composed a training dataset. Two neuroradiologists in consensus analyzed the training dataset for various imaging features: tumor or cyst texture, margins, cortical infiltration, T2-FLAIR mismatch, tumor cyst, T2* susceptibility, hydrocephalus, midline shift, maximum dimension, primary lobe, necrosis, enhancement, edema, and gliomatosis. Statistical analysis of the training data produced a multivariate classification model for codeletion prediction based on a subset of MR imaging features and patient age. Training dataset analysis produced a 2-step classification algorithm with 86.3% codeletion prediction accuracy, based on the following: 1) the presence of the T2-FLAIR mismatch sign, which was 100% predictive of noncodeleted lowergrade gliomas; and 2)a logistic regression model based on texture, patient age, T2* susceptibility, primary lobe, and hydrocephalus. Independent validation ofthe classification algorithm rendered codeletion prediction accuracies of 81.1% and 79.2% in 2 independent readers.
Perrini, P.
- InterventionalYou have accessFlow-Diversion Treatment of Unruptured Saccular Anterior Communicating Artery Aneurysms: A Systematic Review and Meta-AnalysisF. Cagnazzo, N. Limbucci, S. Nappini, L. Renieri, A. Rosi, A. Laiso, D. Tiziano di Carlo, P. Perrini and S. MangiaficoAmerican Journal of Neuroradiology March 2019, 40 (3) 497-502; DOI: https://doi.org/10.3174/ajnr.A5967
Pfeiffer, H.
- PediatricsOpen AccessUnderstanding Subdural Collections in Pediatric Abusive Head TraumaD. Wittschieber, B. Karger, H. Pfeiffer and M.L. HahnemannAmerican Journal of Neuroradiology March 2019, 40 (3) 388-395; DOI: https://doi.org/10.3174/ajnr.A5855
Piergallini, L.
- InterventionalYou have accessComparison of Pipeline Embolization Device Sizing Based on Conventional 2D Measurements and Virtual Simulation Using the Sim&Size Software: An Agreement StudyJ.M. Ospel, G. Gascou, V. Costalat, L. Piergallini, K.A. Blackham and D.W. ZumofenAmerican Journal of Neuroradiology March 2019, 40 (3) 524-530; DOI: https://doi.org/10.3174/ajnr.A5973
Pierot, L.
- InterventionalOpen AccessAneurysm Characteristics, Study Population, and Endovascular Techniques for the Treatment of Intracranial Aneurysms in a Large, Prospective, Multicenter Cohort: Results of the Analysis of Recanalization after Endovascular Treatment of Intracranial Aneurysm StudyM. Gawlitza, S. Soize, C. Barbe, A. le Clainche, P. White, L. Spelle and L. Pierot ARETA Study GroupAmerican Journal of Neuroradiology March 2019, 40 (3) 517-523; DOI: https://doi.org/10.3174/ajnr.A5991
Pinho, M.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessDisorder in Pixel-Level Edge Directions on T1WI Is Associated with the Degree of Radiation Necrosis in Primary and Metastatic Brain Tumors: Preliminary FindingsP. Prasanna, L. Rogers, T.C. Lam, M. Cohen, A. Siddalingappa, L. Wolansky, M. Pinho, A. Gupta, K.J. Hatanpaa, A. Madabhushi and P. TiwariAmerican Journal of Neuroradiology March 2019, 40 (3) 412-417; DOI: https://doi.org/10.3174/ajnr.A5958
The authors sought to investigate whether co-occurrence of local anisotropic gradient orientations (COLLAGE) measurements from posttreatment gadolinium-contrast T1WI could distinguish varying extents of cerebral radiation necrosis and recurrent tumor classes in a lesion across primary and metastatic brain tumors. On 75 gadolinium-contrast T1WI studies obtained from patients with primary and metastatic brain tumors and nasopharyngeal carcinoma, the extent of cerebral radiation necrosis and recurrent tumor in every brain lesion was histopathologically defined by a neuropathologist as the following: 1) “pure” cerebral radiation necrosis; 2) “mixed” pathology with coexistence of cerebral radiation necrosis and recurrent tumors; 3) “predominant” (>80%) cerebral radiation necrosis; 4) predominant (>80%) recurrent tumor; and 5) pure tumor. COLLAGE features were extracted from the expert-annotated ROIs on MR imaging. COLLAGE features exhibited decreased skewness for patients with pure and predominant cerebral radiation necrosis and were statistically significantly different from those in patients with predominant recurrent tumors, which had highly skewed COLLAGE values.
Pollard, S.H.
- PediatricsYou have accessInfant Midnasal Stenosis: Reliability of Nasal MetricsM.E. Graham, K.M. Loveridge, S.H. Pollard, K.R. Moore and J.R. SkirkoAmerican Journal of Neuroradiology March 2019, 40 (3) 562-567; DOI: https://doi.org/10.3174/ajnr.A5980
Pop, R.
- InterventionalYou have accessPredictors and Clinical Impact of Delayed Stent Thrombosis after Thrombectomy for Acute Stroke with Tandem LesionsR. Pop, I. Zinchenko, V. Quenardelle, D. Mihoc, M. Manisor, J.S. Richter, F. Severac, M. Simu, S. Chibbaro, O. Rouyer, V. Wolff and R. BeaujeuxAmerican Journal of Neuroradiology March 2019, 40 (3) 533-539; DOI: https://doi.org/10.3174/ajnr.A5976
Porter-Umphrey, A.B.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAccurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer LearningL.S. Hu, H. Yoon, J.M. Eschbacher, L.C. Baxter, A.C. Dueck, A. Nespodzany, K.A. Smith, P. Nakaji, Y. Xu, L. Wang, J.P. Karis, A.J. Hawkins-Daarud, K.W. Singleton, P.R. Jackson, B.J. Anderies, B.R. Bendok, R.S. Zimmerman, C. Quarles, A.B. Porter-Umphrey, M.M. Mrugala, A. Sharma, J.M. Hoxworth, M.G. Sattur, N. Sanai, P.E. Koulemberis, C. Krishna, J.R. Mitchell, T. Wu, N.L. Tran, K.R. Swanson and J. LiAmerican Journal of Neuroradiology March 2019, 40 (3) 418-425; DOI: https://doi.org/10.3174/ajnr.A5981
The authors evaluated tumor cell density using a transfer learning method that generates individualized patient models, grounded in the wealth of population data, while also detecting and adjusting for interpatient variabilities based on each patient's own histologic data. They collected 82 image-recorded biopsy samples, from 18 patients with primary GBM. With multivariate modeling, transfer learning improved performance (r = 0.88) compared with one-model-fits-all (r = 0.39). They conclude that transfer learning significantly improves predictive modeling performance for quantifying tumor cell density in glioblastoma.
Prasanna, P.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessDisorder in Pixel-Level Edge Directions on T1WI Is Associated with the Degree of Radiation Necrosis in Primary and Metastatic Brain Tumors: Preliminary FindingsP. Prasanna, L. Rogers, T.C. Lam, M. Cohen, A. Siddalingappa, L. Wolansky, M. Pinho, A. Gupta, K.J. Hatanpaa, A. Madabhushi and P. TiwariAmerican Journal of Neuroradiology March 2019, 40 (3) 412-417; DOI: https://doi.org/10.3174/ajnr.A5958
The authors sought to investigate whether co-occurrence of local anisotropic gradient orientations (COLLAGE) measurements from posttreatment gadolinium-contrast T1WI could distinguish varying extents of cerebral radiation necrosis and recurrent tumor classes in a lesion across primary and metastatic brain tumors. On 75 gadolinium-contrast T1WI studies obtained from patients with primary and metastatic brain tumors and nasopharyngeal carcinoma, the extent of cerebral radiation necrosis and recurrent tumor in every brain lesion was histopathologically defined by a neuropathologist as the following: 1) “pure” cerebral radiation necrosis; 2) “mixed” pathology with coexistence of cerebral radiation necrosis and recurrent tumors; 3) “predominant” (>80%) cerebral radiation necrosis; 4) predominant (>80%) recurrent tumor; and 5) pure tumor. COLLAGE features were extracted from the expert-annotated ROIs on MR imaging. COLLAGE features exhibited decreased skewness for patients with pure and predominant cerebral radiation necrosis and were statistically significantly different from those in patients with predominant recurrent tumors, which had highly skewed COLLAGE values.
Prayer, D.
- PediatricsOpen AccessUnderdevelopment of the Human Hippocampus in Callosal Agenesis: An In Vivo Fetal MRI StudyV. Knezović, G. Kasprian, A. Štajduhar, E. Schwartz, M. Weber, G.M. Gruber, P.C. Brugger, D. Prayer and M. VukšićAmerican Journal of Neuroradiology March 2019, 40 (3) 576-581; DOI: https://doi.org/10.3174/ajnr.A5986
Q
Qi, H.
- Adult BrainOpen AccessComplementary Roles of Dynamic Contrast-Enhanced MR Imaging and Postcontrast Vessel Wall Imaging in Detecting High-Risk Intracranial AneurysmsH. Qi, X. Liu, P. Liu, W. Yuan, A. Liu, Y. Jiang, Y. Li, J. Sun and H. ChenAmerican Journal of Neuroradiology March 2019, 40 (3) 490-496; DOI: https://doi.org/10.3174/ajnr.A5983
Quarles, C.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAccurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer LearningL.S. Hu, H. Yoon, J.M. Eschbacher, L.C. Baxter, A.C. Dueck, A. Nespodzany, K.A. Smith, P. Nakaji, Y. Xu, L. Wang, J.P. Karis, A.J. Hawkins-Daarud, K.W. Singleton, P.R. Jackson, B.J. Anderies, B.R. Bendok, R.S. Zimmerman, C. Quarles, A.B. Porter-Umphrey, M.M. Mrugala, A. Sharma, J.M. Hoxworth, M.G. Sattur, N. Sanai, P.E. Koulemberis, C. Krishna, J.R. Mitchell, T. Wu, N.L. Tran, K.R. Swanson and J. LiAmerican Journal of Neuroradiology March 2019, 40 (3) 418-425; DOI: https://doi.org/10.3174/ajnr.A5981
The authors evaluated tumor cell density using a transfer learning method that generates individualized patient models, grounded in the wealth of population data, while also detecting and adjusting for interpatient variabilities based on each patient's own histologic data. They collected 82 image-recorded biopsy samples, from 18 patients with primary GBM. With multivariate modeling, transfer learning improved performance (r = 0.88) compared with one-model-fits-all (r = 0.39). They conclude that transfer learning significantly improves predictive modeling performance for quantifying tumor cell density in glioblastoma.
Quenardelle, V.
- InterventionalYou have accessPredictors and Clinical Impact of Delayed Stent Thrombosis after Thrombectomy for Acute Stroke with Tandem LesionsR. Pop, I. Zinchenko, V. Quenardelle, D. Mihoc, M. Manisor, J.S. Richter, F. Severac, M. Simu, S. Chibbaro, O. Rouyer, V. Wolff and R. BeaujeuxAmerican Journal of Neuroradiology March 2019, 40 (3) 533-539; DOI: https://doi.org/10.3174/ajnr.A5976
Qureshi, M.M.
- Head & NeckYou have accessEtiology-Specific Mineralization Patterns in Patients with Labyrinthitis OssificansK. Buch, B. Baylosis, A. Fujita, M.M. Qureshi, K. Takumi, P.C. Weber and O. SakaiAmerican Journal of Neuroradiology March 2019, 40 (3) 551-557; DOI: https://doi.org/10.3174/ajnr.A5985
- Head & NeckYou have accessCT Texture Analysis of Cervical Lymph Nodes on Contrast-Enhanced [18F] FDG-PET/CT Images to Differentiate Nodal Metastases from Reactive Lymphadenopathy in HIV-Positive Patients with Head and Neck Squamous Cell CarcinomaH. Kuno, N. Garg, M.M. Qureshi, M.N. Chapman, B. Li, S.K. Meibom, M.T. Truong, K. Takumi and O. SakaiAmerican Journal of Neuroradiology March 2019, 40 (3) 543-550; DOI: https://doi.org/10.3174/ajnr.A5974
R
Raleigh, D.R.
- Adult BrainOpen AccessPreoperative MR Imaging to Differentiate Chordoid Meningiomas from Other Meningioma Histologic SubtypesJ.D. Baal, W.C. Chen, D.A. Solomon, J.S. Pai, C.-H. Lucas, J.H. Hara, N.A. Oberheim Bush, M.W. McDermott, D.R. Raleigh and J.E. Villanueva-MeyerAmerican Journal of Neuroradiology March 2019, 40 (3) 433-439; DOI: https://doi.org/10.3174/ajnr.A5996
Ramasamy, D.P.
- Adult BrainYou have accessA Serial 10-Year Follow-Up Study of Atrophied Brain Lesion Volume and Disability Progression in Patients with Relapsing-Remitting MSR. Zivadinov, D. Horakova, N. Bergsland, J. Hagemeier, D.P. Ramasamy, T. Uher, M. Vaneckova, E. Havrdova and M.G. DwyerAmerican Journal of Neuroradiology March 2019, 40 (3) 446-452; DOI: https://doi.org/10.3174/ajnr.A5987
Renieri, L.
- InterventionalYou have accessFlow-Diversion Treatment of Unruptured Saccular Anterior Communicating Artery Aneurysms: A Systematic Review and Meta-AnalysisF. Cagnazzo, N. Limbucci, S. Nappini, L. Renieri, A. Rosi, A. Laiso, D. Tiziano di Carlo, P. Perrini and S. MangiaficoAmerican Journal of Neuroradiology March 2019, 40 (3) 497-502; DOI: https://doi.org/10.3174/ajnr.A5967
Reynard, K.B.
- Adult BrainYou have accessAcute and Evolving MRI of High-Altitude Cerebral Edema: Microbleeds, Edema, and PathophysiologyP.H. Hackett, P.R. Yarnell, D.A. Weiland and K.B. ReynardAmerican Journal of Neuroradiology March 2019, 40 (3) 464-469; DOI: https://doi.org/10.3174/ajnr.A5897
Rezai, B.
- InterventionalOpen AccessLocal Hemodynamic Conditions Associated with Focal Changes in the Intracranial Aneurysm WallJ.R. Cebral, F. Detmer, B.J. Chung, J. Choque-Velasquez, B. Rezai, H. Lehto, R. Tulamo, J. Hernesniemi, M. Niemela, A. Yu, R. Williamson, K. Aziz, S. Sakur, S. Amin-Hanjani, F. Charbel, Y. Tobe, A. Robertson and J. FrösenAmerican Journal of Neuroradiology March 2019, 40 (3) 510-516; DOI: https://doi.org/10.3174/ajnr.A5970
Richardson, R.M.
- Adult BrainYou have accessImproved Detection of Subtle Mesial Temporal Sclerosis: Validation of a Commercially Available Software for Automated Segmentation of Hippocampal VolumeJ.M. Mettenburg, B.F. Branstetter, C.A. Wiley, P. Lee and R.M. RichardsonAmerican Journal of Neuroradiology March 2019, 40 (3) 440-445; DOI: https://doi.org/10.3174/ajnr.A5966
Richter, J.S.
- InterventionalYou have accessPredictors and Clinical Impact of Delayed Stent Thrombosis after Thrombectomy for Acute Stroke with Tandem LesionsR. Pop, I. Zinchenko, V. Quenardelle, D. Mihoc, M. Manisor, J.S. Richter, F. Severac, M. Simu, S. Chibbaro, O. Rouyer, V. Wolff and R. BeaujeuxAmerican Journal of Neuroradiology March 2019, 40 (3) 533-539; DOI: https://doi.org/10.3174/ajnr.A5976
Robertson, A.
- InterventionalOpen AccessLocal Hemodynamic Conditions Associated with Focal Changes in the Intracranial Aneurysm WallJ.R. Cebral, F. Detmer, B.J. Chung, J. Choque-Velasquez, B. Rezai, H. Lehto, R. Tulamo, J. Hernesniemi, M. Niemela, A. Yu, R. Williamson, K. Aziz, S. Sakur, S. Amin-Hanjani, F. Charbel, Y. Tobe, A. Robertson and J. FrösenAmerican Journal of Neuroradiology March 2019, 40 (3) 510-516; DOI: https://doi.org/10.3174/ajnr.A5970
Rodriguez, D.
- PediatricsYou have accessEvaluation of the Implementation of the Response Assessment in Neuro-Oncology Criteria in the HERBY Trial of Pediatric Patients with Newly Diagnosed High-Grade GliomasD. Rodriguez, T. Chambers, M. Warmuth-Metz, E. Sanchez Aliaga, D. Warren, R. Calmon, D. Hargrave, J. Garcia, G. Vassal, J. Grill, G. Zahlmann, P.S. Morgan and T. JaspanAmerican Journal of Neuroradiology March 2019, 40 (3) 568-575; DOI: https://doi.org/10.3174/ajnr.A5982
Rogers, L.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessDisorder in Pixel-Level Edge Directions on T1WI Is Associated with the Degree of Radiation Necrosis in Primary and Metastatic Brain Tumors: Preliminary FindingsP. Prasanna, L. Rogers, T.C. Lam, M. Cohen, A. Siddalingappa, L. Wolansky, M. Pinho, A. Gupta, K.J. Hatanpaa, A. Madabhushi and P. TiwariAmerican Journal of Neuroradiology March 2019, 40 (3) 412-417; DOI: https://doi.org/10.3174/ajnr.A5958
The authors sought to investigate whether co-occurrence of local anisotropic gradient orientations (COLLAGE) measurements from posttreatment gadolinium-contrast T1WI could distinguish varying extents of cerebral radiation necrosis and recurrent tumor classes in a lesion across primary and metastatic brain tumors. On 75 gadolinium-contrast T1WI studies obtained from patients with primary and metastatic brain tumors and nasopharyngeal carcinoma, the extent of cerebral radiation necrosis and recurrent tumor in every brain lesion was histopathologically defined by a neuropathologist as the following: 1) “pure” cerebral radiation necrosis; 2) “mixed” pathology with coexistence of cerebral radiation necrosis and recurrent tumors; 3) “predominant” (>80%) cerebral radiation necrosis; 4) predominant (>80%) recurrent tumor; and 5) pure tumor. COLLAGE features were extracted from the expert-annotated ROIs on MR imaging. COLLAGE features exhibited decreased skewness for patients with pure and predominant cerebral radiation necrosis and were statistically significantly different from those in patients with predominant recurrent tumors, which had highly skewed COLLAGE values.
Romero, J.M.
- MemorialYou have accessRobert H. Ackerman, MD, MPH (1935–2018)M.H. Lev, J.M. Romero, L.H. Schwamm, M.E. Cudkowicz and J.A. BrinkAmerican Journal of Neuroradiology March 2019, 40 (3) E12-E13; DOI: https://doi.org/10.3174/ajnr.A5989
Ropele, S.
- Adult BrainOpen AccessQuantitative Susceptibility Mapping to Assess Cerebral Vascular ComplianceC. Birkl, C. Langkammer, P. Sati, C. Enzinger, F. Fazekas and S. RopeleAmerican Journal of Neuroradiology March 2019, 40 (3) 460-463; DOI: https://doi.org/10.3174/ajnr.A5933
Rosi, A.
- InterventionalYou have accessFlow-Diversion Treatment of Unruptured Saccular Anterior Communicating Artery Aneurysms: A Systematic Review and Meta-AnalysisF. Cagnazzo, N. Limbucci, S. Nappini, L. Renieri, A. Rosi, A. Laiso, D. Tiziano di Carlo, P. Perrini and S. MangiaficoAmerican Journal of Neuroradiology March 2019, 40 (3) 497-502; DOI: https://doi.org/10.3174/ajnr.A5967
Rouyer, O.
- InterventionalYou have accessPredictors and Clinical Impact of Delayed Stent Thrombosis after Thrombectomy for Acute Stroke with Tandem LesionsR. Pop, I. Zinchenko, V. Quenardelle, D. Mihoc, M. Manisor, J.S. Richter, F. Severac, M. Simu, S. Chibbaro, O. Rouyer, V. Wolff and R. BeaujeuxAmerican Journal of Neuroradiology March 2019, 40 (3) 533-539; DOI: https://doi.org/10.3174/ajnr.A5976
S
Sakai, O.
- Head & NeckYou have accessEtiology-Specific Mineralization Patterns in Patients with Labyrinthitis OssificansK. Buch, B. Baylosis, A. Fujita, M.M. Qureshi, K. Takumi, P.C. Weber and O. SakaiAmerican Journal of Neuroradiology March 2019, 40 (3) 551-557; DOI: https://doi.org/10.3174/ajnr.A5985
- Head & NeckYou have accessCT Texture Analysis of Cervical Lymph Nodes on Contrast-Enhanced [18F] FDG-PET/CT Images to Differentiate Nodal Metastases from Reactive Lymphadenopathy in HIV-Positive Patients with Head and Neck Squamous Cell CarcinomaH. Kuno, N. Garg, M.M. Qureshi, M.N. Chapman, B. Li, S.K. Meibom, M.T. Truong, K. Takumi and O. SakaiAmerican Journal of Neuroradiology March 2019, 40 (3) 543-550; DOI: https://doi.org/10.3174/ajnr.A5974
Sakur, S.
- InterventionalOpen AccessLocal Hemodynamic Conditions Associated with Focal Changes in the Intracranial Aneurysm WallJ.R. Cebral, F. Detmer, B.J. Chung, J. Choque-Velasquez, B. Rezai, H. Lehto, R. Tulamo, J. Hernesniemi, M. Niemela, A. Yu, R. Williamson, K. Aziz, S. Sakur, S. Amin-Hanjani, F. Charbel, Y. Tobe, A. Robertson and J. FrösenAmerican Journal of Neuroradiology March 2019, 40 (3) 510-516; DOI: https://doi.org/10.3174/ajnr.A5970
Sanai, N.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAccurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer LearningL.S. Hu, H. Yoon, J.M. Eschbacher, L.C. Baxter, A.C. Dueck, A. Nespodzany, K.A. Smith, P. Nakaji, Y. Xu, L. Wang, J.P. Karis, A.J. Hawkins-Daarud, K.W. Singleton, P.R. Jackson, B.J. Anderies, B.R. Bendok, R.S. Zimmerman, C. Quarles, A.B. Porter-Umphrey, M.M. Mrugala, A. Sharma, J.M. Hoxworth, M.G. Sattur, N. Sanai, P.E. Koulemberis, C. Krishna, J.R. Mitchell, T. Wu, N.L. Tran, K.R. Swanson and J. LiAmerican Journal of Neuroradiology March 2019, 40 (3) 418-425; DOI: https://doi.org/10.3174/ajnr.A5981
The authors evaluated tumor cell density using a transfer learning method that generates individualized patient models, grounded in the wealth of population data, while also detecting and adjusting for interpatient variabilities based on each patient's own histologic data. They collected 82 image-recorded biopsy samples, from 18 patients with primary GBM. With multivariate modeling, transfer learning improved performance (r = 0.88) compared with one-model-fits-all (r = 0.39). They conclude that transfer learning significantly improves predictive modeling performance for quantifying tumor cell density in glioblastoma.
Sanelli, P.C.
- Adult BrainOpen AccessDynamic Contrast-Enhanced MRI Reveals Unique Blood-Brain Barrier Permeability Characteristics in the Hippocampus in the Normal BrainJ. Ivanidze, M. Mackay, A. Hoang, J.M. Chi, K. Cheng, C. Aranow, B. Volpe, B. Diamond and P.C. SanelliAmerican Journal of Neuroradiology March 2019, 40 (3) 408-411; DOI: https://doi.org/10.3174/ajnr.A5962
- Adult BrainOpen AccessAlterations in Blood-Brain Barrier Permeability in Patients with Systemic Lupus ErythematosusJ.M. Chi, M. Mackay, A. Hoang, K. Cheng, C. Aranow, J. Ivanidze, B. Volpe, B. Diamond and P.C. SanelliAmerican Journal of Neuroradiology March 2019, 40 (3) 470-477; DOI: https://doi.org/10.3174/ajnr.A5990
Sati, P.
- Adult BrainOpen AccessQuantitative Susceptibility Mapping to Assess Cerebral Vascular ComplianceC. Birkl, C. Langkammer, P. Sati, C. Enzinger, F. Fazekas and S. RopeleAmerican Journal of Neuroradiology March 2019, 40 (3) 460-463; DOI: https://doi.org/10.3174/ajnr.A5933
Sattur, M.G.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAccurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer LearningL.S. Hu, H. Yoon, J.M. Eschbacher, L.C. Baxter, A.C. Dueck, A. Nespodzany, K.A. Smith, P. Nakaji, Y. Xu, L. Wang, J.P. Karis, A.J. Hawkins-Daarud, K.W. Singleton, P.R. Jackson, B.J. Anderies, B.R. Bendok, R.S. Zimmerman, C. Quarles, A.B. Porter-Umphrey, M.M. Mrugala, A. Sharma, J.M. Hoxworth, M.G. Sattur, N. Sanai, P.E. Koulemberis, C. Krishna, J.R. Mitchell, T. Wu, N.L. Tran, K.R. Swanson and J. LiAmerican Journal of Neuroradiology March 2019, 40 (3) 418-425; DOI: https://doi.org/10.3174/ajnr.A5981
The authors evaluated tumor cell density using a transfer learning method that generates individualized patient models, grounded in the wealth of population data, while also detecting and adjusting for interpatient variabilities based on each patient's own histologic data. They collected 82 image-recorded biopsy samples, from 18 patients with primary GBM. With multivariate modeling, transfer learning improved performance (r = 0.88) compared with one-model-fits-all (r = 0.39). They conclude that transfer learning significantly improves predictive modeling performance for quantifying tumor cell density in glioblastoma.
Schiff, D.
- FELLOWS' JOURNAL CLUBAdult BrainYou have accessNeuroimaging-Based Classification Algorithm for Predicting 1p/19q-Codeletion Status in IDH-Mutant Lower Grade GliomasP.P. Batchala, T.J.E. Muttikkal, J.H. Donahue, J.T. Patrie, D. Schiff, C.E. Fadul, E.K. Mrachek, M.-B. Lopes, R. Jain and S.H. PatelAmerican Journal of Neuroradiology March 2019, 40 (3) 426-432; DOI: https://doi.org/10.3174/ajnr.A5957
One hundred two IDH-mutant lower grade gliomas with preoperative MR imaging and known 1p/19q status from The Cancer Genome Atlas composed a training dataset. Two neuroradiologists in consensus analyzed the training dataset for various imaging features: tumor or cyst texture, margins, cortical infiltration, T2-FLAIR mismatch, tumor cyst, T2* susceptibility, hydrocephalus, midline shift, maximum dimension, primary lobe, necrosis, enhancement, edema, and gliomatosis. Statistical analysis of the training data produced a multivariate classification model for codeletion prediction based on a subset of MR imaging features and patient age. Training dataset analysis produced a 2-step classification algorithm with 86.3% codeletion prediction accuracy, based on the following: 1) the presence of the T2-FLAIR mismatch sign, which was 100% predictive of noncodeleted lowergrade gliomas; and 2)a logistic regression model based on texture, patient age, T2* susceptibility, primary lobe, and hydrocephalus. Independent validation ofthe classification algorithm rendered codeletion prediction accuracies of 81.1% and 79.2% in 2 independent readers.
Schwamm, L.H.
- MemorialYou have accessRobert H. Ackerman, MD, MPH (1935–2018)M.H. Lev, J.M. Romero, L.H. Schwamm, M.E. Cudkowicz and J.A. BrinkAmerican Journal of Neuroradiology March 2019, 40 (3) E12-E13; DOI: https://doi.org/10.3174/ajnr.A5989
Schwartz, E.
- PediatricsOpen AccessUnderdevelopment of the Human Hippocampus in Callosal Agenesis: An In Vivo Fetal MRI StudyV. Knezović, G. Kasprian, A. Štajduhar, E. Schwartz, M. Weber, G.M. Gruber, P.C. Brugger, D. Prayer and M. VukšićAmerican Journal of Neuroradiology March 2019, 40 (3) 576-581; DOI: https://doi.org/10.3174/ajnr.A5986
Severac, F.
- InterventionalYou have accessPredictors and Clinical Impact of Delayed Stent Thrombosis after Thrombectomy for Acute Stroke with Tandem LesionsR. Pop, I. Zinchenko, V. Quenardelle, D. Mihoc, M. Manisor, J.S. Richter, F. Severac, M. Simu, S. Chibbaro, O. Rouyer, V. Wolff and R. BeaujeuxAmerican Journal of Neuroradiology March 2019, 40 (3) 533-539; DOI: https://doi.org/10.3174/ajnr.A5976
Shanks, J.
- Adult BrainYou have accessAqueductal CSF Stroke Volume Is Increased in Patients with Idiopathic Normal Pressure Hydrocephalus and Decreases after Shunt SurgeryJ. Shanks, K. Markenroth Bloch, K. Laurell, K.G. Cesarini, M. Fahlström, E.-M. Larsson and J. VirhammarAmerican Journal of Neuroradiology March 2019, 40 (3) 453-459; DOI: https://doi.org/10.3174/ajnr.A5972
Sharma, A.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAccurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer LearningL.S. Hu, H. Yoon, J.M. Eschbacher, L.C. Baxter, A.C. Dueck, A. Nespodzany, K.A. Smith, P. Nakaji, Y. Xu, L. Wang, J.P. Karis, A.J. Hawkins-Daarud, K.W. Singleton, P.R. Jackson, B.J. Anderies, B.R. Bendok, R.S. Zimmerman, C. Quarles, A.B. Porter-Umphrey, M.M. Mrugala, A. Sharma, J.M. Hoxworth, M.G. Sattur, N. Sanai, P.E. Koulemberis, C. Krishna, J.R. Mitchell, T. Wu, N.L. Tran, K.R. Swanson and J. LiAmerican Journal of Neuroradiology March 2019, 40 (3) 418-425; DOI: https://doi.org/10.3174/ajnr.A5981
The authors evaluated tumor cell density using a transfer learning method that generates individualized patient models, grounded in the wealth of population data, while also detecting and adjusting for interpatient variabilities based on each patient's own histologic data. They collected 82 image-recorded biopsy samples, from 18 patients with primary GBM. With multivariate modeling, transfer learning improved performance (r = 0.88) compared with one-model-fits-all (r = 0.39). They conclude that transfer learning significantly improves predictive modeling performance for quantifying tumor cell density in glioblastoma.
Shepherd, T.M.
- EDITOR'S CHOICEAdult BrainOpen Access3T MRI Whole-Brain Microscopy Discrimination of Subcortical Anatomy, Part 1: Brain StemM.J. Hoch, M.T. Bruno, A. Faustin, N. Cruz, L. Crandall, T. Wisniewski, O. Devinsky and T.M. ShepherdAmerican Journal of Neuroradiology March 2019, 40 (3) 401-407; DOI: https://doi.org/10.3174/ajnr.A5956
The authors applied an optimized TSE T2 sequence to washed postmortem brain samples to reveal exquisite and reproducible brain stem anatomic MR imaging contrast comparable with histologic atlases. Direct TSE MR imaging sequence discrimination of brain stem anatomy can help validate other MR imaging contrasts, such as diffusion tractography, or serve as a structural template for extracting quantitative MR imaging data in future postmortem investigations.
Siddalingappa, A.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessDisorder in Pixel-Level Edge Directions on T1WI Is Associated with the Degree of Radiation Necrosis in Primary and Metastatic Brain Tumors: Preliminary FindingsP. Prasanna, L. Rogers, T.C. Lam, M. Cohen, A. Siddalingappa, L. Wolansky, M. Pinho, A. Gupta, K.J. Hatanpaa, A. Madabhushi and P. TiwariAmerican Journal of Neuroradiology March 2019, 40 (3) 412-417; DOI: https://doi.org/10.3174/ajnr.A5958
The authors sought to investigate whether co-occurrence of local anisotropic gradient orientations (COLLAGE) measurements from posttreatment gadolinium-contrast T1WI could distinguish varying extents of cerebral radiation necrosis and recurrent tumor classes in a lesion across primary and metastatic brain tumors. On 75 gadolinium-contrast T1WI studies obtained from patients with primary and metastatic brain tumors and nasopharyngeal carcinoma, the extent of cerebral radiation necrosis and recurrent tumor in every brain lesion was histopathologically defined by a neuropathologist as the following: 1) “pure” cerebral radiation necrosis; 2) “mixed” pathology with coexistence of cerebral radiation necrosis and recurrent tumors; 3) “predominant” (>80%) cerebral radiation necrosis; 4) predominant (>80%) recurrent tumor; and 5) pure tumor. COLLAGE features were extracted from the expert-annotated ROIs on MR imaging. COLLAGE features exhibited decreased skewness for patients with pure and predominant cerebral radiation necrosis and were statistically significantly different from those in patients with predominant recurrent tumors, which had highly skewed COLLAGE values.
Simu, M.
- InterventionalYou have accessPredictors and Clinical Impact of Delayed Stent Thrombosis after Thrombectomy for Acute Stroke with Tandem LesionsR. Pop, I. Zinchenko, V. Quenardelle, D. Mihoc, M. Manisor, J.S. Richter, F. Severac, M. Simu, S. Chibbaro, O. Rouyer, V. Wolff and R. BeaujeuxAmerican Journal of Neuroradiology March 2019, 40 (3) 533-539; DOI: https://doi.org/10.3174/ajnr.A5976
Singleton, K.W.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAccurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer LearningL.S. Hu, H. Yoon, J.M. Eschbacher, L.C. Baxter, A.C. Dueck, A. Nespodzany, K.A. Smith, P. Nakaji, Y. Xu, L. Wang, J.P. Karis, A.J. Hawkins-Daarud, K.W. Singleton, P.R. Jackson, B.J. Anderies, B.R. Bendok, R.S. Zimmerman, C. Quarles, A.B. Porter-Umphrey, M.M. Mrugala, A. Sharma, J.M. Hoxworth, M.G. Sattur, N. Sanai, P.E. Koulemberis, C. Krishna, J.R. Mitchell, T. Wu, N.L. Tran, K.R. Swanson and J. LiAmerican Journal of Neuroradiology March 2019, 40 (3) 418-425; DOI: https://doi.org/10.3174/ajnr.A5981
The authors evaluated tumor cell density using a transfer learning method that generates individualized patient models, grounded in the wealth of population data, while also detecting and adjusting for interpatient variabilities based on each patient's own histologic data. They collected 82 image-recorded biopsy samples, from 18 patients with primary GBM. With multivariate modeling, transfer learning improved performance (r = 0.88) compared with one-model-fits-all (r = 0.39). They conclude that transfer learning significantly improves predictive modeling performance for quantifying tumor cell density in glioblastoma.
Skirko, J.R.
- PediatricsYou have accessInfant Midnasal Stenosis: Reliability of Nasal MetricsM.E. Graham, K.M. Loveridge, S.H. Pollard, K.R. Moore and J.R. SkirkoAmerican Journal of Neuroradiology March 2019, 40 (3) 562-567; DOI: https://doi.org/10.3174/ajnr.A5980
Smith, K.A.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAccurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer LearningL.S. Hu, H. Yoon, J.M. Eschbacher, L.C. Baxter, A.C. Dueck, A. Nespodzany, K.A. Smith, P. Nakaji, Y. Xu, L. Wang, J.P. Karis, A.J. Hawkins-Daarud, K.W. Singleton, P.R. Jackson, B.J. Anderies, B.R. Bendok, R.S. Zimmerman, C. Quarles, A.B. Porter-Umphrey, M.M. Mrugala, A. Sharma, J.M. Hoxworth, M.G. Sattur, N. Sanai, P.E. Koulemberis, C. Krishna, J.R. Mitchell, T. Wu, N.L. Tran, K.R. Swanson and J. LiAmerican Journal of Neuroradiology March 2019, 40 (3) 418-425; DOI: https://doi.org/10.3174/ajnr.A5981
The authors evaluated tumor cell density using a transfer learning method that generates individualized patient models, grounded in the wealth of population data, while also detecting and adjusting for interpatient variabilities based on each patient's own histologic data. They collected 82 image-recorded biopsy samples, from 18 patients with primary GBM. With multivariate modeling, transfer learning improved performance (r = 0.88) compared with one-model-fits-all (r = 0.39). They conclude that transfer learning significantly improves predictive modeling performance for quantifying tumor cell density in glioblastoma.
Soize, S.
- InterventionalOpen AccessAneurysm Characteristics, Study Population, and Endovascular Techniques for the Treatment of Intracranial Aneurysms in a Large, Prospective, Multicenter Cohort: Results of the Analysis of Recanalization after Endovascular Treatment of Intracranial Aneurysm StudyM. Gawlitza, S. Soize, C. Barbe, A. le Clainche, P. White, L. Spelle and L. Pierot ARETA Study GroupAmerican Journal of Neuroradiology March 2019, 40 (3) 517-523; DOI: https://doi.org/10.3174/ajnr.A5991
Solomon, D.A.
- Adult BrainOpen AccessPreoperative MR Imaging to Differentiate Chordoid Meningiomas from Other Meningioma Histologic SubtypesJ.D. Baal, W.C. Chen, D.A. Solomon, J.S. Pai, C.-H. Lucas, J.H. Hara, N.A. Oberheim Bush, M.W. McDermott, D.R. Raleigh and J.E. Villanueva-MeyerAmerican Journal of Neuroradiology March 2019, 40 (3) 433-439; DOI: https://doi.org/10.3174/ajnr.A5996
Soni, N.
- LETTERYou have accessEngorged Medullary Veins in Neurosarcoidosis: A Reflection of Underlying Phlebitis?G. Bathla, N. Soni, T. Moritani and A.A. CapizzanoAmerican Journal of Neuroradiology March 2019, 40 (3) E14-E15; DOI: https://doi.org/10.3174/ajnr.A5951
Spelle, L.
- InterventionalOpen AccessAneurysm Characteristics, Study Population, and Endovascular Techniques for the Treatment of Intracranial Aneurysms in a Large, Prospective, Multicenter Cohort: Results of the Analysis of Recanalization after Endovascular Treatment of Intracranial Aneurysm StudyM. Gawlitza, S. Soize, C. Barbe, A. le Clainche, P. White, L. Spelle and L. Pierot ARETA Study GroupAmerican Journal of Neuroradiology March 2019, 40 (3) 517-523; DOI: https://doi.org/10.3174/ajnr.A5991
Štajduhar, A.
- PediatricsOpen AccessUnderdevelopment of the Human Hippocampus in Callosal Agenesis: An In Vivo Fetal MRI StudyV. Knezović, G. Kasprian, A. Štajduhar, E. Schwartz, M. Weber, G.M. Gruber, P.C. Brugger, D. Prayer and M. VukšićAmerican Journal of Neuroradiology March 2019, 40 (3) 576-581; DOI: https://doi.org/10.3174/ajnr.A5986
Sun, J.
- Adult BrainOpen AccessComplementary Roles of Dynamic Contrast-Enhanced MR Imaging and Postcontrast Vessel Wall Imaging in Detecting High-Risk Intracranial AneurysmsH. Qi, X. Liu, P. Liu, W. Yuan, A. Liu, Y. Jiang, Y. Li, J. Sun and H. ChenAmerican Journal of Neuroradiology March 2019, 40 (3) 490-496; DOI: https://doi.org/10.3174/ajnr.A5983
Swanson, K.R.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAccurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer LearningL.S. Hu, H. Yoon, J.M. Eschbacher, L.C. Baxter, A.C. Dueck, A. Nespodzany, K.A. Smith, P. Nakaji, Y. Xu, L. Wang, J.P. Karis, A.J. Hawkins-Daarud, K.W. Singleton, P.R. Jackson, B.J. Anderies, B.R. Bendok, R.S. Zimmerman, C. Quarles, A.B. Porter-Umphrey, M.M. Mrugala, A. Sharma, J.M. Hoxworth, M.G. Sattur, N. Sanai, P.E. Koulemberis, C. Krishna, J.R. Mitchell, T. Wu, N.L. Tran, K.R. Swanson and J. LiAmerican Journal of Neuroradiology March 2019, 40 (3) 418-425; DOI: https://doi.org/10.3174/ajnr.A5981
The authors evaluated tumor cell density using a transfer learning method that generates individualized patient models, grounded in the wealth of population data, while also detecting and adjusting for interpatient variabilities based on each patient's own histologic data. They collected 82 image-recorded biopsy samples, from 18 patients with primary GBM. With multivariate modeling, transfer learning improved performance (r = 0.88) compared with one-model-fits-all (r = 0.39). They conclude that transfer learning significantly improves predictive modeling performance for quantifying tumor cell density in glioblastoma.
T
Takagi, T.
- EDITOR'S CHOICEYou have accessImaging of Patients with Suspected Large-Vessel Occlusion at Primary Stroke Centers: Available Modalities and a Suggested ApproachM.A. Almekhlafi, W.G. Kunz, B.K. Menon, R.A. McTaggart, M.V. Jayaraman, B.W. Baxter, D. Heck, D. Frei, C.P. Derdeyn, T. Takagi, A.H. Aamodt, I.M.R. Fragata, M.D. Hill, A.M. Demchuk and M. GoyalAmerican Journal of Neuroradiology March 2019, 40 (3) 396-400; DOI: https://doi.org/10.3174/ajnr.A5971
Endovascular thrombectomy has proven efficacy for a wide range of patients with large-vessel occlusion stroke and in selected cases up to 24 hours from onset. While primary stroke centers have increased the proportion of patients withstroke receiving thrombolytic therapy, delays can be encountereduntil patients with LVO are identified and transferred from the primary stroke center to acomprehensive stroke center. Therefore, any extra steps need to be carefullyweighed. The use of CTA (especially multiphase) at the primary stroke center levelhas many advantages in expediting the transfer of appropriate patients to a comprehensive center.
Takumi, K.
- Head & NeckYou have accessEtiology-Specific Mineralization Patterns in Patients with Labyrinthitis OssificansK. Buch, B. Baylosis, A. Fujita, M.M. Qureshi, K. Takumi, P.C. Weber and O. SakaiAmerican Journal of Neuroradiology March 2019, 40 (3) 551-557; DOI: https://doi.org/10.3174/ajnr.A5985
- Head & NeckYou have accessCT Texture Analysis of Cervical Lymph Nodes on Contrast-Enhanced [18F] FDG-PET/CT Images to Differentiate Nodal Metastases from Reactive Lymphadenopathy in HIV-Positive Patients with Head and Neck Squamous Cell CarcinomaH. Kuno, N. Garg, M.M. Qureshi, M.N. Chapman, B. Li, S.K. Meibom, M.T. Truong, K. Takumi and O. SakaiAmerican Journal of Neuroradiology March 2019, 40 (3) 543-550; DOI: https://doi.org/10.3174/ajnr.A5974
Thomas, Bejoy
- PerspectivesYou have accessPerspectivesBejoy ThomasAmerican Journal of Neuroradiology March 2019, 40 (3) 387; DOI: https://doi.org/10.3174/ajnr.P0055
Tiwari, P.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessDisorder in Pixel-Level Edge Directions on T1WI Is Associated with the Degree of Radiation Necrosis in Primary and Metastatic Brain Tumors: Preliminary FindingsP. Prasanna, L. Rogers, T.C. Lam, M. Cohen, A. Siddalingappa, L. Wolansky, M. Pinho, A. Gupta, K.J. Hatanpaa, A. Madabhushi and P. TiwariAmerican Journal of Neuroradiology March 2019, 40 (3) 412-417; DOI: https://doi.org/10.3174/ajnr.A5958
The authors sought to investigate whether co-occurrence of local anisotropic gradient orientations (COLLAGE) measurements from posttreatment gadolinium-contrast T1WI could distinguish varying extents of cerebral radiation necrosis and recurrent tumor classes in a lesion across primary and metastatic brain tumors. On 75 gadolinium-contrast T1WI studies obtained from patients with primary and metastatic brain tumors and nasopharyngeal carcinoma, the extent of cerebral radiation necrosis and recurrent tumor in every brain lesion was histopathologically defined by a neuropathologist as the following: 1) “pure” cerebral radiation necrosis; 2) “mixed” pathology with coexistence of cerebral radiation necrosis and recurrent tumors; 3) “predominant” (>80%) cerebral radiation necrosis; 4) predominant (>80%) recurrent tumor; and 5) pure tumor. COLLAGE features were extracted from the expert-annotated ROIs on MR imaging. COLLAGE features exhibited decreased skewness for patients with pure and predominant cerebral radiation necrosis and were statistically significantly different from those in patients with predominant recurrent tumors, which had highly skewed COLLAGE values.
Tiziano di Carlo, D.
- InterventionalYou have accessFlow-Diversion Treatment of Unruptured Saccular Anterior Communicating Artery Aneurysms: A Systematic Review and Meta-AnalysisF. Cagnazzo, N. Limbucci, S. Nappini, L. Renieri, A. Rosi, A. Laiso, D. Tiziano di Carlo, P. Perrini and S. MangiaficoAmerican Journal of Neuroradiology March 2019, 40 (3) 497-502; DOI: https://doi.org/10.3174/ajnr.A5967
Tobe, Y.
- InterventionalOpen AccessLocal Hemodynamic Conditions Associated with Focal Changes in the Intracranial Aneurysm WallJ.R. Cebral, F. Detmer, B.J. Chung, J. Choque-Velasquez, B. Rezai, H. Lehto, R. Tulamo, J. Hernesniemi, M. Niemela, A. Yu, R. Williamson, K. Aziz, S. Sakur, S. Amin-Hanjani, F. Charbel, Y. Tobe, A. Robertson and J. FrösenAmerican Journal of Neuroradiology March 2019, 40 (3) 510-516; DOI: https://doi.org/10.3174/ajnr.A5970
Torun, N.
- Head & NeckYou have accessDiagnostic Utility of Optic Nerve Measurements with MRI in Patients with Optic Nerve AtrophyB. Zhao, N. Torun, M. Elsayed, A.-D. Cheng, A. Brook, Y.-M. Chang and R.A. BhadeliaAmerican Journal of Neuroradiology March 2019, 40 (3) 558-561; DOI: https://doi.org/10.3174/ajnr.A5975
Tran, N.L.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAccurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer LearningL.S. Hu, H. Yoon, J.M. Eschbacher, L.C. Baxter, A.C. Dueck, A. Nespodzany, K.A. Smith, P. Nakaji, Y. Xu, L. Wang, J.P. Karis, A.J. Hawkins-Daarud, K.W. Singleton, P.R. Jackson, B.J. Anderies, B.R. Bendok, R.S. Zimmerman, C. Quarles, A.B. Porter-Umphrey, M.M. Mrugala, A. Sharma, J.M. Hoxworth, M.G. Sattur, N. Sanai, P.E. Koulemberis, C. Krishna, J.R. Mitchell, T. Wu, N.L. Tran, K.R. Swanson and J. LiAmerican Journal of Neuroradiology March 2019, 40 (3) 418-425; DOI: https://doi.org/10.3174/ajnr.A5981
The authors evaluated tumor cell density using a transfer learning method that generates individualized patient models, grounded in the wealth of population data, while also detecting and adjusting for interpatient variabilities based on each patient's own histologic data. They collected 82 image-recorded biopsy samples, from 18 patients with primary GBM. With multivariate modeling, transfer learning improved performance (r = 0.88) compared with one-model-fits-all (r = 0.39). They conclude that transfer learning significantly improves predictive modeling performance for quantifying tumor cell density in glioblastoma.
Truong, M.T.
- Head & NeckYou have accessCT Texture Analysis of Cervical Lymph Nodes on Contrast-Enhanced [18F] FDG-PET/CT Images to Differentiate Nodal Metastases from Reactive Lymphadenopathy in HIV-Positive Patients with Head and Neck Squamous Cell CarcinomaH. Kuno, N. Garg, M.M. Qureshi, M.N. Chapman, B. Li, S.K. Meibom, M.T. Truong, K. Takumi and O. SakaiAmerican Journal of Neuroradiology March 2019, 40 (3) 543-550; DOI: https://doi.org/10.3174/ajnr.A5974
Tulamo, R.
- InterventionalOpen AccessLocal Hemodynamic Conditions Associated with Focal Changes in the Intracranial Aneurysm WallJ.R. Cebral, F. Detmer, B.J. Chung, J. Choque-Velasquez, B. Rezai, H. Lehto, R. Tulamo, J. Hernesniemi, M. Niemela, A. Yu, R. Williamson, K. Aziz, S. Sakur, S. Amin-Hanjani, F. Charbel, Y. Tobe, A. Robertson and J. FrösenAmerican Journal of Neuroradiology March 2019, 40 (3) 510-516; DOI: https://doi.org/10.3174/ajnr.A5970
U
Uher, T.
- Adult BrainYou have accessA Serial 10-Year Follow-Up Study of Atrophied Brain Lesion Volume and Disability Progression in Patients with Relapsing-Remitting MSR. Zivadinov, D. Horakova, N. Bergsland, J. Hagemeier, D.P. Ramasamy, T. Uher, M. Vaneckova, E. Havrdova and M.G. DwyerAmerican Journal of Neuroradiology March 2019, 40 (3) 446-452; DOI: https://doi.org/10.3174/ajnr.A5987
V
Vaneckova, M.
- Adult BrainYou have accessA Serial 10-Year Follow-Up Study of Atrophied Brain Lesion Volume and Disability Progression in Patients with Relapsing-Remitting MSR. Zivadinov, D. Horakova, N. Bergsland, J. Hagemeier, D.P. Ramasamy, T. Uher, M. Vaneckova, E. Havrdova and M.G. DwyerAmerican Journal of Neuroradiology March 2019, 40 (3) 446-452; DOI: https://doi.org/10.3174/ajnr.A5987
Vassal, G.
- PediatricsYou have accessEvaluation of the Implementation of the Response Assessment in Neuro-Oncology Criteria in the HERBY Trial of Pediatric Patients with Newly Diagnosed High-Grade GliomasD. Rodriguez, T. Chambers, M. Warmuth-Metz, E. Sanchez Aliaga, D. Warren, R. Calmon, D. Hargrave, J. Garcia, G. Vassal, J. Grill, G. Zahlmann, P.S. Morgan and T. JaspanAmerican Journal of Neuroradiology March 2019, 40 (3) 568-575; DOI: https://doi.org/10.3174/ajnr.A5982
Villanueva-Meyer, J.E.
- Adult BrainOpen AccessPreoperative MR Imaging to Differentiate Chordoid Meningiomas from Other Meningioma Histologic SubtypesJ.D. Baal, W.C. Chen, D.A. Solomon, J.S. Pai, C.-H. Lucas, J.H. Hara, N.A. Oberheim Bush, M.W. McDermott, D.R. Raleigh and J.E. Villanueva-MeyerAmerican Journal of Neuroradiology March 2019, 40 (3) 433-439; DOI: https://doi.org/10.3174/ajnr.A5996
Virhammar, J.
- Adult BrainYou have accessAqueductal CSF Stroke Volume Is Increased in Patients with Idiopathic Normal Pressure Hydrocephalus and Decreases after Shunt SurgeryJ. Shanks, K. Markenroth Bloch, K. Laurell, K.G. Cesarini, M. Fahlström, E.-M. Larsson and J. VirhammarAmerican Journal of Neuroradiology March 2019, 40 (3) 453-459; DOI: https://doi.org/10.3174/ajnr.A5972
Volpe, B.
- Adult BrainOpen AccessDynamic Contrast-Enhanced MRI Reveals Unique Blood-Brain Barrier Permeability Characteristics in the Hippocampus in the Normal BrainJ. Ivanidze, M. Mackay, A. Hoang, J.M. Chi, K. Cheng, C. Aranow, B. Volpe, B. Diamond and P.C. SanelliAmerican Journal of Neuroradiology March 2019, 40 (3) 408-411; DOI: https://doi.org/10.3174/ajnr.A5962
- Adult BrainOpen AccessAlterations in Blood-Brain Barrier Permeability in Patients with Systemic Lupus ErythematosusJ.M. Chi, M. Mackay, A. Hoang, K. Cheng, C. Aranow, J. Ivanidze, B. Volpe, B. Diamond and P.C. SanelliAmerican Journal of Neuroradiology March 2019, 40 (3) 470-477; DOI: https://doi.org/10.3174/ajnr.A5990
Vukšić, M.
- PediatricsOpen AccessUnderdevelopment of the Human Hippocampus in Callosal Agenesis: An In Vivo Fetal MRI StudyV. Knezović, G. Kasprian, A. Štajduhar, E. Schwartz, M. Weber, G.M. Gruber, P.C. Brugger, D. Prayer and M. VukšićAmerican Journal of Neuroradiology March 2019, 40 (3) 576-581; DOI: https://doi.org/10.3174/ajnr.A5986
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Wang, L.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAccurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer LearningL.S. Hu, H. Yoon, J.M. Eschbacher, L.C. Baxter, A.C. Dueck, A. Nespodzany, K.A. Smith, P. Nakaji, Y. Xu, L. Wang, J.P. Karis, A.J. Hawkins-Daarud, K.W. Singleton, P.R. Jackson, B.J. Anderies, B.R. Bendok, R.S. Zimmerman, C. Quarles, A.B. Porter-Umphrey, M.M. Mrugala, A. Sharma, J.M. Hoxworth, M.G. Sattur, N. Sanai, P.E. Koulemberis, C. Krishna, J.R. Mitchell, T. Wu, N.L. Tran, K.R. Swanson and J. LiAmerican Journal of Neuroradiology March 2019, 40 (3) 418-425; DOI: https://doi.org/10.3174/ajnr.A5981
The authors evaluated tumor cell density using a transfer learning method that generates individualized patient models, grounded in the wealth of population data, while also detecting and adjusting for interpatient variabilities based on each patient's own histologic data. They collected 82 image-recorded biopsy samples, from 18 patients with primary GBM. With multivariate modeling, transfer learning improved performance (r = 0.88) compared with one-model-fits-all (r = 0.39). They conclude that transfer learning significantly improves predictive modeling performance for quantifying tumor cell density in glioblastoma.
Warmuth-Metz, M.
- PediatricsYou have accessEvaluation of the Implementation of the Response Assessment in Neuro-Oncology Criteria in the HERBY Trial of Pediatric Patients with Newly Diagnosed High-Grade GliomasD. Rodriguez, T. Chambers, M. Warmuth-Metz, E. Sanchez Aliaga, D. Warren, R. Calmon, D. Hargrave, J. Garcia, G. Vassal, J. Grill, G. Zahlmann, P.S. Morgan and T. JaspanAmerican Journal of Neuroradiology March 2019, 40 (3) 568-575; DOI: https://doi.org/10.3174/ajnr.A5982
Warren, D.
- PediatricsYou have accessEvaluation of the Implementation of the Response Assessment in Neuro-Oncology Criteria in the HERBY Trial of Pediatric Patients with Newly Diagnosed High-Grade GliomasD. Rodriguez, T. Chambers, M. Warmuth-Metz, E. Sanchez Aliaga, D. Warren, R. Calmon, D. Hargrave, J. Garcia, G. Vassal, J. Grill, G. Zahlmann, P.S. Morgan and T. JaspanAmerican Journal of Neuroradiology March 2019, 40 (3) 568-575; DOI: https://doi.org/10.3174/ajnr.A5982
Weber, M.
- PediatricsOpen AccessUnderdevelopment of the Human Hippocampus in Callosal Agenesis: An In Vivo Fetal MRI StudyV. Knezović, G. Kasprian, A. Štajduhar, E. Schwartz, M. Weber, G.M. Gruber, P.C. Brugger, D. Prayer and M. VukšićAmerican Journal of Neuroradiology March 2019, 40 (3) 576-581; DOI: https://doi.org/10.3174/ajnr.A5986
Weber, P.C.
- Head & NeckYou have accessEtiology-Specific Mineralization Patterns in Patients with Labyrinthitis OssificansK. Buch, B. Baylosis, A. Fujita, M.M. Qureshi, K. Takumi, P.C. Weber and O. SakaiAmerican Journal of Neuroradiology March 2019, 40 (3) 551-557; DOI: https://doi.org/10.3174/ajnr.A5985
Weiland, D.A.
- Adult BrainYou have accessAcute and Evolving MRI of High-Altitude Cerebral Edema: Microbleeds, Edema, and PathophysiologyP.H. Hackett, P.R. Yarnell, D.A. Weiland and K.B. ReynardAmerican Journal of Neuroradiology March 2019, 40 (3) 464-469; DOI: https://doi.org/10.3174/ajnr.A5897
White, P.
- InterventionalOpen AccessAneurysm Characteristics, Study Population, and Endovascular Techniques for the Treatment of Intracranial Aneurysms in a Large, Prospective, Multicenter Cohort: Results of the Analysis of Recanalization after Endovascular Treatment of Intracranial Aneurysm StudyM. Gawlitza, S. Soize, C. Barbe, A. le Clainche, P. White, L. Spelle and L. Pierot ARETA Study GroupAmerican Journal of Neuroradiology March 2019, 40 (3) 517-523; DOI: https://doi.org/10.3174/ajnr.A5991
Wiley, C.A.
- Adult BrainYou have accessImproved Detection of Subtle Mesial Temporal Sclerosis: Validation of a Commercially Available Software for Automated Segmentation of Hippocampal VolumeJ.M. Mettenburg, B.F. Branstetter, C.A. Wiley, P. Lee and R.M. RichardsonAmerican Journal of Neuroradiology March 2019, 40 (3) 440-445; DOI: https://doi.org/10.3174/ajnr.A5966
Williamson, R.
- InterventionalOpen AccessLocal Hemodynamic Conditions Associated with Focal Changes in the Intracranial Aneurysm WallJ.R. Cebral, F. Detmer, B.J. Chung, J. Choque-Velasquez, B. Rezai, H. Lehto, R. Tulamo, J. Hernesniemi, M. Niemela, A. Yu, R. Williamson, K. Aziz, S. Sakur, S. Amin-Hanjani, F. Charbel, Y. Tobe, A. Robertson and J. FrösenAmerican Journal of Neuroradiology March 2019, 40 (3) 510-516; DOI: https://doi.org/10.3174/ajnr.A5970
Wintermark, M.
- Adult BrainYou have accessFocal Hypoperfusion in Acute Ischemic Stroke Perfusion CT: Clinical and Radiologic Predictors and Accuracy for Infarct PredictionO. Bill, N.M. Inácio, D. Lambrou, M. Wintermark, G. Ntaios, V. Dunet and P. MichelAmerican Journal of Neuroradiology March 2019, 40 (3) 483-489; DOI: https://doi.org/10.3174/ajnr.A5984
Wisniewski, T.
- EDITOR'S CHOICEAdult BrainOpen Access3T MRI Whole-Brain Microscopy Discrimination of Subcortical Anatomy, Part 1: Brain StemM.J. Hoch, M.T. Bruno, A. Faustin, N. Cruz, L. Crandall, T. Wisniewski, O. Devinsky and T.M. ShepherdAmerican Journal of Neuroradiology March 2019, 40 (3) 401-407; DOI: https://doi.org/10.3174/ajnr.A5956
The authors applied an optimized TSE T2 sequence to washed postmortem brain samples to reveal exquisite and reproducible brain stem anatomic MR imaging contrast comparable with histologic atlases. Direct TSE MR imaging sequence discrimination of brain stem anatomy can help validate other MR imaging contrasts, such as diffusion tractography, or serve as a structural template for extracting quantitative MR imaging data in future postmortem investigations.
Wittschieber, D.
- PediatricsOpen AccessUnderstanding Subdural Collections in Pediatric Abusive Head TraumaD. Wittschieber, B. Karger, H. Pfeiffer and M.L. HahnemannAmerican Journal of Neuroradiology March 2019, 40 (3) 388-395; DOI: https://doi.org/10.3174/ajnr.A5855
Wolansky, L.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessDisorder in Pixel-Level Edge Directions on T1WI Is Associated with the Degree of Radiation Necrosis in Primary and Metastatic Brain Tumors: Preliminary FindingsP. Prasanna, L. Rogers, T.C. Lam, M. Cohen, A. Siddalingappa, L. Wolansky, M. Pinho, A. Gupta, K.J. Hatanpaa, A. Madabhushi and P. TiwariAmerican Journal of Neuroradiology March 2019, 40 (3) 412-417; DOI: https://doi.org/10.3174/ajnr.A5958
The authors sought to investigate whether co-occurrence of local anisotropic gradient orientations (COLLAGE) measurements from posttreatment gadolinium-contrast T1WI could distinguish varying extents of cerebral radiation necrosis and recurrent tumor classes in a lesion across primary and metastatic brain tumors. On 75 gadolinium-contrast T1WI studies obtained from patients with primary and metastatic brain tumors and nasopharyngeal carcinoma, the extent of cerebral radiation necrosis and recurrent tumor in every brain lesion was histopathologically defined by a neuropathologist as the following: 1) “pure” cerebral radiation necrosis; 2) “mixed” pathology with coexistence of cerebral radiation necrosis and recurrent tumors; 3) “predominant” (>80%) cerebral radiation necrosis; 4) predominant (>80%) recurrent tumor; and 5) pure tumor. COLLAGE features were extracted from the expert-annotated ROIs on MR imaging. COLLAGE features exhibited decreased skewness for patients with pure and predominant cerebral radiation necrosis and were statistically significantly different from those in patients with predominant recurrent tumors, which had highly skewed COLLAGE values.
Wolff, V.
- InterventionalYou have accessPredictors and Clinical Impact of Delayed Stent Thrombosis after Thrombectomy for Acute Stroke with Tandem LesionsR. Pop, I. Zinchenko, V. Quenardelle, D. Mihoc, M. Manisor, J.S. Richter, F. Severac, M. Simu, S. Chibbaro, O. Rouyer, V. Wolff and R. BeaujeuxAmerican Journal of Neuroradiology March 2019, 40 (3) 533-539; DOI: https://doi.org/10.3174/ajnr.A5976
Wu, T.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAccurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer LearningL.S. Hu, H. Yoon, J.M. Eschbacher, L.C. Baxter, A.C. Dueck, A. Nespodzany, K.A. Smith, P. Nakaji, Y. Xu, L. Wang, J.P. Karis, A.J. Hawkins-Daarud, K.W. Singleton, P.R. Jackson, B.J. Anderies, B.R. Bendok, R.S. Zimmerman, C. Quarles, A.B. Porter-Umphrey, M.M. Mrugala, A. Sharma, J.M. Hoxworth, M.G. Sattur, N. Sanai, P.E. Koulemberis, C. Krishna, J.R. Mitchell, T. Wu, N.L. Tran, K.R. Swanson and J. LiAmerican Journal of Neuroradiology March 2019, 40 (3) 418-425; DOI: https://doi.org/10.3174/ajnr.A5981
The authors evaluated tumor cell density using a transfer learning method that generates individualized patient models, grounded in the wealth of population data, while also detecting and adjusting for interpatient variabilities based on each patient's own histologic data. They collected 82 image-recorded biopsy samples, from 18 patients with primary GBM. With multivariate modeling, transfer learning improved performance (r = 0.88) compared with one-model-fits-all (r = 0.39). They conclude that transfer learning significantly improves predictive modeling performance for quantifying tumor cell density in glioblastoma.
X
Xu, Y.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAccurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer LearningL.S. Hu, H. Yoon, J.M. Eschbacher, L.C. Baxter, A.C. Dueck, A. Nespodzany, K.A. Smith, P. Nakaji, Y. Xu, L. Wang, J.P. Karis, A.J. Hawkins-Daarud, K.W. Singleton, P.R. Jackson, B.J. Anderies, B.R. Bendok, R.S. Zimmerman, C. Quarles, A.B. Porter-Umphrey, M.M. Mrugala, A. Sharma, J.M. Hoxworth, M.G. Sattur, N. Sanai, P.E. Koulemberis, C. Krishna, J.R. Mitchell, T. Wu, N.L. Tran, K.R. Swanson and J. LiAmerican Journal of Neuroradiology March 2019, 40 (3) 418-425; DOI: https://doi.org/10.3174/ajnr.A5981
The authors evaluated tumor cell density using a transfer learning method that generates individualized patient models, grounded in the wealth of population data, while also detecting and adjusting for interpatient variabilities based on each patient's own histologic data. They collected 82 image-recorded biopsy samples, from 18 patients with primary GBM. With multivariate modeling, transfer learning improved performance (r = 0.88) compared with one-model-fits-all (r = 0.39). They conclude that transfer learning significantly improves predictive modeling performance for quantifying tumor cell density in glioblastoma.
Y
Yarnell, P.R.
- Adult BrainYou have accessAcute and Evolving MRI of High-Altitude Cerebral Edema: Microbleeds, Edema, and PathophysiologyP.H. Hackett, P.R. Yarnell, D.A. Weiland and K.B. ReynardAmerican Journal of Neuroradiology March 2019, 40 (3) 464-469; DOI: https://doi.org/10.3174/ajnr.A5897
Yoon, H.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAccurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer LearningL.S. Hu, H. Yoon, J.M. Eschbacher, L.C. Baxter, A.C. Dueck, A. Nespodzany, K.A. Smith, P. Nakaji, Y. Xu, L. Wang, J.P. Karis, A.J. Hawkins-Daarud, K.W. Singleton, P.R. Jackson, B.J. Anderies, B.R. Bendok, R.S. Zimmerman, C. Quarles, A.B. Porter-Umphrey, M.M. Mrugala, A. Sharma, J.M. Hoxworth, M.G. Sattur, N. Sanai, P.E. Koulemberis, C. Krishna, J.R. Mitchell, T. Wu, N.L. Tran, K.R. Swanson and J. LiAmerican Journal of Neuroradiology March 2019, 40 (3) 418-425; DOI: https://doi.org/10.3174/ajnr.A5981
The authors evaluated tumor cell density using a transfer learning method that generates individualized patient models, grounded in the wealth of population data, while also detecting and adjusting for interpatient variabilities based on each patient's own histologic data. They collected 82 image-recorded biopsy samples, from 18 patients with primary GBM. With multivariate modeling, transfer learning improved performance (r = 0.88) compared with one-model-fits-all (r = 0.39). They conclude that transfer learning significantly improves predictive modeling performance for quantifying tumor cell density in glioblastoma.
Yu, A.
- InterventionalOpen AccessLocal Hemodynamic Conditions Associated with Focal Changes in the Intracranial Aneurysm WallJ.R. Cebral, F. Detmer, B.J. Chung, J. Choque-Velasquez, B. Rezai, H. Lehto, R. Tulamo, J. Hernesniemi, M. Niemela, A. Yu, R. Williamson, K. Aziz, S. Sakur, S. Amin-Hanjani, F. Charbel, Y. Tobe, A. Robertson and J. FrösenAmerican Journal of Neuroradiology March 2019, 40 (3) 510-516; DOI: https://doi.org/10.3174/ajnr.A5970
Yuan, W.
- Adult BrainOpen AccessComplementary Roles of Dynamic Contrast-Enhanced MR Imaging and Postcontrast Vessel Wall Imaging in Detecting High-Risk Intracranial AneurysmsH. Qi, X. Liu, P. Liu, W. Yuan, A. Liu, Y. Jiang, Y. Li, J. Sun and H. ChenAmerican Journal of Neuroradiology March 2019, 40 (3) 490-496; DOI: https://doi.org/10.3174/ajnr.A5983
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Zahlmann, G.
- PediatricsYou have accessEvaluation of the Implementation of the Response Assessment in Neuro-Oncology Criteria in the HERBY Trial of Pediatric Patients with Newly Diagnosed High-Grade GliomasD. Rodriguez, T. Chambers, M. Warmuth-Metz, E. Sanchez Aliaga, D. Warren, R. Calmon, D. Hargrave, J. Garcia, G. Vassal, J. Grill, G. Zahlmann, P.S. Morgan and T. JaspanAmerican Journal of Neuroradiology March 2019, 40 (3) 568-575; DOI: https://doi.org/10.3174/ajnr.A5982
Zamora, C.
- LETTERYou have accessReply:C. Zamora and M. CastilloAmerican Journal of Neuroradiology March 2019, 40 (3) E16; DOI: https://doi.org/10.3174/ajnr.A5968
Zhao, B.
- Head & NeckYou have accessDiagnostic Utility of Optic Nerve Measurements with MRI in Patients with Optic Nerve AtrophyB. Zhao, N. Torun, M. Elsayed, A.-D. Cheng, A. Brook, Y.-M. Chang and R.A. BhadeliaAmerican Journal of Neuroradiology March 2019, 40 (3) 558-561; DOI: https://doi.org/10.3174/ajnr.A5975
Zimmerman, R.S.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAccurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer LearningL.S. Hu, H. Yoon, J.M. Eschbacher, L.C. Baxter, A.C. Dueck, A. Nespodzany, K.A. Smith, P. Nakaji, Y. Xu, L. Wang, J.P. Karis, A.J. Hawkins-Daarud, K.W. Singleton, P.R. Jackson, B.J. Anderies, B.R. Bendok, R.S. Zimmerman, C. Quarles, A.B. Porter-Umphrey, M.M. Mrugala, A. Sharma, J.M. Hoxworth, M.G. Sattur, N. Sanai, P.E. Koulemberis, C. Krishna, J.R. Mitchell, T. Wu, N.L. Tran, K.R. Swanson and J. LiAmerican Journal of Neuroradiology March 2019, 40 (3) 418-425; DOI: https://doi.org/10.3174/ajnr.A5981
The authors evaluated tumor cell density using a transfer learning method that generates individualized patient models, grounded in the wealth of population data, while also detecting and adjusting for interpatient variabilities based on each patient's own histologic data. They collected 82 image-recorded biopsy samples, from 18 patients with primary GBM. With multivariate modeling, transfer learning improved performance (r = 0.88) compared with one-model-fits-all (r = 0.39). They conclude that transfer learning significantly improves predictive modeling performance for quantifying tumor cell density in glioblastoma.
Zinchenko, I.
- InterventionalYou have accessPredictors and Clinical Impact of Delayed Stent Thrombosis after Thrombectomy for Acute Stroke with Tandem LesionsR. Pop, I. Zinchenko, V. Quenardelle, D. Mihoc, M. Manisor, J.S. Richter, F. Severac, M. Simu, S. Chibbaro, O. Rouyer, V. Wolff and R. BeaujeuxAmerican Journal of Neuroradiology March 2019, 40 (3) 533-539; DOI: https://doi.org/10.3174/ajnr.A5976
Zivadinov, R.
- Adult BrainYou have accessA Serial 10-Year Follow-Up Study of Atrophied Brain Lesion Volume and Disability Progression in Patients with Relapsing-Remitting MSR. Zivadinov, D. Horakova, N. Bergsland, J. Hagemeier, D.P. Ramasamy, T. Uher, M. Vaneckova, E. Havrdova and M.G. DwyerAmerican Journal of Neuroradiology March 2019, 40 (3) 446-452; DOI: https://doi.org/10.3174/ajnr.A5987
Zumofen, D.W.
- InterventionalYou have accessComparison of Pipeline Embolization Device Sizing Based on Conventional 2D Measurements and Virtual Simulation Using the Sim&Size Software: An Agreement StudyJ.M. Ospel, G. Gascou, V. Costalat, L. Piergallini, K.A. Blackham and D.W. ZumofenAmerican Journal of Neuroradiology March 2019, 40 (3) 524-530; DOI: https://doi.org/10.3174/ajnr.A5973