Index by author
A
Abe, O.
- Adult BrainOpen AccessEffect of Gadolinium on the Estimation of Myelin and Brain Tissue Volumes Based on Quantitative Synthetic MRIT. Maekawa, A. Hagiwara, M. Hori, C. Andica, T. Haruyama, M. Kuramochi, M. Nakazawa, S. Koshino, R. Irie, K. Kamagata, A. Wada, O. Abe and S. AokiAmerican Journal of Neuroradiology February 2019, 40 (2) 231-237; DOI: https://doi.org/10.3174/ajnr.A5921
Ai, L.
- EDITOR'S CHOICEAdult BrainOpen AccessUtility of Dynamic Susceptibility Contrast Perfusion-Weighted MR Imaging and 11C-Methionine PET/CT for Differentiation of Tumor Recurrence from Radiation Injury in Patients with High-Grade GliomasZ. Qiao, X. Zhao, K. Wang, Y. Zhang, D. Fan, T. Yu, H. Shen, Q. Chen and L. AiAmerican Journal of Neuroradiology February 2019, 40 (2) 253-259; DOI: https://doi.org/10.3174/ajnr.A5952
Forty-two patients with high-grade gliomas were enrolled in this study. The final diagnosis was determined by histopathologic analysis or clinical follow-up. PWI and PET parameters were recorded and compared between patients with recurrence and those with radiation injury using Student t tests. Receiver operating characteristic and logistic regression analyses were used to determine the diagnostic performance of each parameter. The final diagnosis was recurrence in 33 patients and radiation injury in 9. PET/CT showed a patient-based sensitivity and specificity of 0.909 and 0.556, respectively, while PWI showed values of 0.667 and 0.778, respectively. The maximum standardized uptake value, mean standardized uptake value, tumor-to-background maximum standardized uptake value, and mean relative CBV were significantly higher for patients with recurrence than for patients with radiation injury. All these parameters showed a significant discriminative power in receiver operating characteristic analysis. Both 11C-methionine PET/CT and PWI are equally accurate in the differentiation of recurrence from radiation injury in patients with high-grade gliomas, and a combination of the 2 modalities could result in increased diagnostic accuracy.
Alturki, A.Y.
- InterventionalYou have accessEndothelialization following Flow Diversion for Intracranial Aneurysms: A Systematic ReviewK. Ravindran, M.M. Salem, A.Y. Alturki, A.J. Thomas, C.S. Ogilvy and J.M. MooreAmerican Journal of Neuroradiology February 2019, 40 (2) 295-301; DOI: https://doi.org/10.3174/ajnr.A5955
Andica, C.
- Adult BrainOpen AccessEffect of Gadolinium on the Estimation of Myelin and Brain Tissue Volumes Based on Quantitative Synthetic MRIT. Maekawa, A. Hagiwara, M. Hori, C. Andica, T. Haruyama, M. Kuramochi, M. Nakazawa, S. Koshino, R. Irie, K. Kamagata, A. Wada, O. Abe and S. AokiAmerican Journal of Neuroradiology February 2019, 40 (2) 231-237; DOI: https://doi.org/10.3174/ajnr.A5921
- EDITOR'S CHOICEAdult BrainOpen AccessImproving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image TranslationA. Hagiwara, Y. Otsuka, M. Hori, Y. Tachibana, K. Yokoyama, S. Fujita, C. Andica, K. Kamagata, R. Irie, S. Koshino, T. Maekawa, L. Chougar, A. Wada, M.Y. Takemura, N. Hattori and S. AokiAmerican Journal of Neuroradiology February 2019, 40 (2) 224-230; DOI: https://doi.org/10.3174/ajnr.A5927
Forty patients with MS were prospectively included and scanned (3T) to acquire synthetic MR imaging and conventional FLAIR images. Synthetic FLAIR images were created with the SyMRI software. Acquired data were divided into 30 training and 10 test datasets. A conditional generative adversarial network was trained to generate improved FLAIR images from raw synthetic MR imaging data using conventional FLAIR images as targets. The peak signal-to-noise ratio, normalized root mean square error, and the Dice index of MS lesion maps were calculated for synthetic and deep learning FLAIR images against conventional FLAIR images, respectively. Lesion conspicuity and the existence of artifacts were visually assessed. The peak signal-to-noise ratio and normalized root mean square error were significantly higher and lower, respectively, in generated-versus-synthetic FLAIR images in aggregate intracranial tissues and all tissue segments. The Dice index of lesion maps and visual lesion conspicuity were comparable between generated and synthetic FLAIR images. Using deep learning, the authors conclude that they improved the synthetic FLAIR image quality by generating FLAIR images that have contrast closer to that of conventional FLAIR images and fewer granular and swelling artifacts, while preserving the lesion contrast.
Aoki, S.
- Adult BrainOpen AccessEffect of Gadolinium on the Estimation of Myelin and Brain Tissue Volumes Based on Quantitative Synthetic MRIT. Maekawa, A. Hagiwara, M. Hori, C. Andica, T. Haruyama, M. Kuramochi, M. Nakazawa, S. Koshino, R. Irie, K. Kamagata, A. Wada, O. Abe and S. AokiAmerican Journal of Neuroradiology February 2019, 40 (2) 231-237; DOI: https://doi.org/10.3174/ajnr.A5921
- EDITOR'S CHOICEAdult BrainOpen AccessImproving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image TranslationA. Hagiwara, Y. Otsuka, M. Hori, Y. Tachibana, K. Yokoyama, S. Fujita, C. Andica, K. Kamagata, R. Irie, S. Koshino, T. Maekawa, L. Chougar, A. Wada, M.Y. Takemura, N. Hattori and S. AokiAmerican Journal of Neuroradiology February 2019, 40 (2) 224-230; DOI: https://doi.org/10.3174/ajnr.A5927
Forty patients with MS were prospectively included and scanned (3T) to acquire synthetic MR imaging and conventional FLAIR images. Synthetic FLAIR images were created with the SyMRI software. Acquired data were divided into 30 training and 10 test datasets. A conditional generative adversarial network was trained to generate improved FLAIR images from raw synthetic MR imaging data using conventional FLAIR images as targets. The peak signal-to-noise ratio, normalized root mean square error, and the Dice index of MS lesion maps were calculated for synthetic and deep learning FLAIR images against conventional FLAIR images, respectively. Lesion conspicuity and the existence of artifacts were visually assessed. The peak signal-to-noise ratio and normalized root mean square error were significantly higher and lower, respectively, in generated-versus-synthetic FLAIR images in aggregate intracranial tissues and all tissue segments. The Dice index of lesion maps and visual lesion conspicuity were comparable between generated and synthetic FLAIR images. Using deep learning, the authors conclude that they improved the synthetic FLAIR image quality by generating FLAIR images that have contrast closer to that of conventional FLAIR images and fewer granular and swelling artifacts, while preserving the lesion contrast.
Ardekani, B.A.
- Adult BrainYou have accessSexual Dimorphism and Hemispheric Asymmetry of Hippocampal Volumetric Integrity in Normal Aging and Alzheimer DiseaseB.A. Ardekani, S.A. Hadid, E. Blessing and A.H. BachmanAmerican Journal of Neuroradiology February 2019, 40 (2) 276-282; DOI: https://doi.org/10.3174/ajnr.A5943
Atwal, G.S.
- InterventionalOpen AccessOstium Ratio and Neck Ratio Could Predict the Outcome of Sidewall Intracranial Aneurysms Treated with Flow DivertersN. Paliwal, V.M. Tutino, H. Shallwani, J.S. Beecher, R.J. Damiano, H.J. Shakir, G.S. Atwal, V.S. Fennell, S.K. Natarajan, E.I. Levy, A.H. Siddiqui, J.M. Davies and H. MengAmerican Journal of Neuroradiology February 2019, 40 (2) 288-294; DOI: https://doi.org/10.3174/ajnr.A5953
B
Bachman, A.H.
- Adult BrainYou have accessSexual Dimorphism and Hemispheric Asymmetry of Hippocampal Volumetric Integrity in Normal Aging and Alzheimer DiseaseB.A. Ardekani, S.A. Hadid, E. Blessing and A.H. BachmanAmerican Journal of Neuroradiology February 2019, 40 (2) 276-282; DOI: https://doi.org/10.3174/ajnr.A5943
Bednarek, D.R.
- InterventionalOpen AccessHigh-Definition Zoom Mode, a High-Resolution X-Ray Microscope for Neurointerventional Treatment Procedures: A Blinded-Rater Clinical-Utility StudyS.V. Setlur Nagesh, V. Fennel, J. Krebs, C. Ionita, J. Davies, D.R. Bednarek, M. Mokin, A.H. Siddiqui and S. RudinAmerican Journal of Neuroradiology February 2019, 40 (2) 302-308; DOI: https://doi.org/10.3174/ajnr.A5922
Beecher, J.S.
- InterventionalOpen AccessOstium Ratio and Neck Ratio Could Predict the Outcome of Sidewall Intracranial Aneurysms Treated with Flow DivertersN. Paliwal, V.M. Tutino, H. Shallwani, J.S. Beecher, R.J. Damiano, H.J. Shakir, G.S. Atwal, V.S. Fennell, S.K. Natarajan, E.I. Levy, A.H. Siddiqui, J.M. Davies and H. MengAmerican Journal of Neuroradiology February 2019, 40 (2) 288-294; DOI: https://doi.org/10.3174/ajnr.A5953
Bendszus, M.
- InterventionalYou have accessClinical Outcome after Thrombectomy in Patients with Stroke with Premorbid Modified Rankin Scale Scores of 3 and 4: A Cohort Study with 136 PatientsF. Seker, J. Pfaff, S. Schönenberger, C. Herweh, S. Nagel, P.A. Ringleb, M. Bendszus and M.A. MöhlenbruchAmerican Journal of Neuroradiology February 2019, 40 (2) 283-286; DOI: https://doi.org/10.3174/ajnr.A5920
Benninger, K.L.
- PediatricsOpen AccessMR Imaging Scoring System for White Matter Injury after Deep Medullary Vein Thrombosis and Infarction in NeonatesK.L. Benninger, N.L. Maitre, L. Ruess and J.A. RusinAmerican Journal of Neuroradiology February 2019, 40 (2) 347-352; DOI: https://doi.org/10.3174/ajnr.A5940
Benson, J.C.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAcute Toxic Leukoencephalopathy: Etiologies, Imaging Findings, and Outcomes in 101 PatientsC. Özütemiz, S.K. Roshan, N.J. Kroll, J.C. Benson, J.B. Rykken, M.C. Oswood, L. Zhang and A.M. McKinneyAmerican Journal of Neuroradiology February 2019, 40 (2) 267-275; DOI: https://doi.org/10.3174/ajnr.A5947
Of 101 included patients, the 4 subgroups of >6 were the following: chemotherapy (n = 35), opiates (n = 19), acute hepatic encephalopathy (n = 14), and immunosuppressants (n = 11). Other causes (n = 22 total) notably included carbon monoxide (n = 3) metronidazole (n = 2), and uremia (n = 1). Acute hepatic/hyperammonemic encephalopathy clinically resolved in 36%, with severe outcomes in 23% (coma or death, 9/16 deaths from fludarabine). Notable laboratory results were elevated CSF myelin basic protein levels in 8/9 patients and serum blood urea nitrogen levels in 24/91. Acute toxic leukoencephalopathy is an imaging appearance that can arise from various etiologies, with potentially reversible reduced diffusion predominately affecting the periventricular WM. Given the shared DWI appearance among this heterogeneous array of etiologies, their outcomes may differ. Thus, the neurologic symptoms completely resolved in 36%, while severe outcomes occurred in 23%. The clinical outcome was most severe with chemotherapy-related ATL.
Ber, R.
- PediatricsYou have accessVolumetric MRI Study of the Brain in Fetuses with Intrauterine Cytomegalovirus Infection and Its Correlation to Neurodevelopmental OutcomeA. Grinberg, E. Katorza, D. Hoffman, R. Ber, A. Mayer and S. LipitzAmerican Journal of Neuroradiology February 2019, 40 (2) 353-358; DOI: https://doi.org/10.3174/ajnr.A5948
Blanken, L.M.E.
- PediatricsOpen AccessCavum Septum Pellucidum in the General Pediatric Population and Its Relation to Surrounding Brain Structure Volumes, Cognitive Function, and Emotional or Behavioral ProblemsM.H.G. Dremmen, R.H. Bouhuis, L.M.E. Blanken, R.L. Muetzel, M.W. Vernooij, H.E. Marroun, V.W.V. Jaddoe, F.C. Verhulst, H. Tiemeier and T. WhiteAmerican Journal of Neuroradiology February 2019, 40 (2) 340-346; DOI: https://doi.org/10.3174/ajnr.A5939
Blessing, E.
- Adult BrainYou have accessSexual Dimorphism and Hemispheric Asymmetry of Hippocampal Volumetric Integrity in Normal Aging and Alzheimer DiseaseB.A. Ardekani, S.A. Hadid, E. Blessing and A.H. BachmanAmerican Journal of Neuroradiology February 2019, 40 (2) 276-282; DOI: https://doi.org/10.3174/ajnr.A5943
Bliss, T.
- Review ArticleOpen AccessA Review of Magnetic Particle Imaging and Perspectives on NeuroimagingL.C. Wu, Y. Zhang, G. Steinberg, H. Qu, S. Huang, M. Cheng, T. Bliss, F. Du, J. Rao, G. Song, L. Pisani, T. Doyle, S. Conolly, K. Krishnan, G. Grant and M. WintermarkAmerican Journal of Neuroradiology February 2019, 40 (2) 206-212; DOI: https://doi.org/10.3174/ajnr.A5896
Botto, A.
- PediatricsYou have accessBrain DSC MR Perfusion in Children: A Clinical Feasibility Study Using Different Technical Standards of Contrast AdministrationS. Gaudino, M. Martucci, A. Botto, E. Ruberto, E. Leone, A. Infante, A. Ramaglia, M. Caldarelli, P. Frassanito, F.M. Triulzi and C. ColosimoAmerican Journal of Neuroradiology February 2019, 40 (2) 359-365; DOI: https://doi.org/10.3174/ajnr.A5954
Bouhuis, R.H.
- PediatricsOpen AccessCavum Septum Pellucidum in the General Pediatric Population and Its Relation to Surrounding Brain Structure Volumes, Cognitive Function, and Emotional or Behavioral ProblemsM.H.G. Dremmen, R.H. Bouhuis, L.M.E. Blanken, R.L. Muetzel, M.W. Vernooij, H.E. Marroun, V.W.V. Jaddoe, F.C. Verhulst, H. Tiemeier and T. WhiteAmerican Journal of Neuroradiology February 2019, 40 (2) 340-346; DOI: https://doi.org/10.3174/ajnr.A5939
Boutet, A.
- FELLOWS' JOURNAL CLUBAdult BrainYou have accessA Deep Learning–Based Approach to Reduce Rescan and Recall Rates in Clinical MRI ExaminationsA. Sreekumari, D. Shanbhag, D. Yeo, T. Foo, J. Pilitsis, J. Polzin, U. Patil, A. Coblentz, A. Kapadia, J. Khinda, A. Boutet, J. Port and I. HancuAmerican Journal of Neuroradiology February 2019, 40 (2) 217-223; DOI: https://doi.org/10.3174/ajnr.A5926
The purpose of this study was to develop a fast, automated method for assessing rescan need in motion-corrupted brain series. A deep learning–based approach was developed, outputting a probability for a series to be clinically useful. Comparison of this per-series probability with a threshold, which can depend on scan indication and reading radiologist, determines whether a series needs to be rescanned. The deep learning classification performance was compared with that of 4 technologists and 5 radiologists in 49 test series with low and moderate motion artifacts. Fast, automated deep learning–based image-quality rating can decrease rescan and recall rates, while rendering them technologist-independent. It was estimated that decreasing rescans and recalls from the technologists' values to the values of deep learning could save hospitals $24,000/scanner/year.
Brinjikji, W.
- SpineYou have accessSingle-Needle Lateral Sacroplasty TechniqueP.J. Nicholson, C.A. Hilditch, W. Brinjikji, A.C.O. Tsang and R. SmithAmerican Journal of Neuroradiology February 2019, 40 (2) 382-385; DOI: https://doi.org/10.3174/ajnr.A5884
C
Caldarelli, M.
- PediatricsYou have accessBrain DSC MR Perfusion in Children: A Clinical Feasibility Study Using Different Technical Standards of Contrast AdministrationS. Gaudino, M. Martucci, A. Botto, E. Ruberto, E. Leone, A. Infante, A. Ramaglia, M. Caldarelli, P. Frassanito, F.M. Triulzi and C. ColosimoAmerican Journal of Neuroradiology February 2019, 40 (2) 359-365; DOI: https://doi.org/10.3174/ajnr.A5954
Castellino, R.C.
- PediatricsYou have accessHigh-Grade Gliomas in Children with Neurofibromatosis Type 1: Literature Review and Illustrative CasesC.D. Spyris, R.C. Castellino, M.J. Schniederjan and N. KadomAmerican Journal of Neuroradiology February 2019, 40 (2) 366-369; DOI: https://doi.org/10.3174/ajnr.A5888
Chen, L.
- EDITOR'S CHOICEHead & NeckOpen AccessTreatment Response Prediction of Nasopharyngeal Carcinoma Based on Histogram Analysis of Diffusional Kurtosis ImagingN. Tu, Y. Zhong, X. Wang, F. Xing, L. Chen and G. WuAmerican Journal of Neuroradiology February 2019, 40 (2) 326-333; DOI: https://doi.org/10.3174/ajnr.A5925
Thirty-six patients with an initial diagnosis of locoregionally advanced nasopharyngeal carcinoma and diffusional kurtosis imaging acquisitions before and after neoadjuvant chemotherapy were enrolled. Patients were divided into respond-versus-nonrespond groups after neoadjuvant chemotherapy and residual-versus-nonresidual groups after radiation therapy. Receiver operating characteristic analysis indicated that setting pre-D50th = 0.875 x 10-3 mm2/s as the cutoff value could result in optimal diagnostic performance for neoadjuvant chemotherapy response prediction (area under the curve = 0.814, sensitivity = 0.70, specificity = 0.92), while the post-K90th = 1.035 (area under the curve = 0.829, sensitivity = 0.78, specificity = 0.72) was optimal for radiation therapy response prediction. Histogram analysis of diffusional kurtosis imaging may potentially predict the neoadjuvant chemotherapy and short-term radiation therapy response in locoregionally advanced nasopharyngeal carcinoma.
Chen, Q.
- EDITOR'S CHOICEAdult BrainOpen AccessUtility of Dynamic Susceptibility Contrast Perfusion-Weighted MR Imaging and 11C-Methionine PET/CT for Differentiation of Tumor Recurrence from Radiation Injury in Patients with High-Grade GliomasZ. Qiao, X. Zhao, K. Wang, Y. Zhang, D. Fan, T. Yu, H. Shen, Q. Chen and L. AiAmerican Journal of Neuroradiology February 2019, 40 (2) 253-259; DOI: https://doi.org/10.3174/ajnr.A5952
Forty-two patients with high-grade gliomas were enrolled in this study. The final diagnosis was determined by histopathologic analysis or clinical follow-up. PWI and PET parameters were recorded and compared between patients with recurrence and those with radiation injury using Student t tests. Receiver operating characteristic and logistic regression analyses were used to determine the diagnostic performance of each parameter. The final diagnosis was recurrence in 33 patients and radiation injury in 9. PET/CT showed a patient-based sensitivity and specificity of 0.909 and 0.556, respectively, while PWI showed values of 0.667 and 0.778, respectively. The maximum standardized uptake value, mean standardized uptake value, tumor-to-background maximum standardized uptake value, and mean relative CBV were significantly higher for patients with recurrence than for patients with radiation injury. All these parameters showed a significant discriminative power in receiver operating characteristic analysis. Both 11C-methionine PET/CT and PWI are equally accurate in the differentiation of recurrence from radiation injury in patients with high-grade gliomas, and a combination of the 2 modalities could result in increased diagnostic accuracy.
Chen, Y.
- Head & NeckOpen AccessContrast-Enhanced 3D-FLAIR Imaging of the Optic Nerve and Optic Nerve Head: Novel Neuroimaging Findings of Idiopathic Intracranial HypertensionE. Golden, R. Krivochenitser, N. Mathews, C. Longhurst, Y. Chen, J.-P.J. Yu and T.A. KennedyAmerican Journal of Neuroradiology February 2019, 40 (2) 334-339; DOI: https://doi.org/10.3174/ajnr.A5937
Chen, Y.-F.
- Adult BrainOpen AccessStandardized MR Perfusion Scoring System for Evaluation of Sequential Perfusion Changes and Surgical Outcome of Moyamoya DiseaseY.-H. Lin, M.-F. Kuo, C.-J. Lu, C.-W. Lee, S.-H. Yang, Y.-C. Huang, H.-M. Liu and Y.-F. ChenAmerican Journal of Neuroradiology February 2019, 40 (2) 260-266; DOI: https://doi.org/10.3174/ajnr.A5945
Cheng, M.
- Review ArticleOpen AccessA Review of Magnetic Particle Imaging and Perspectives on NeuroimagingL.C. Wu, Y. Zhang, G. Steinberg, H. Qu, S. Huang, M. Cheng, T. Bliss, F. Du, J. Rao, G. Song, L. Pisani, T. Doyle, S. Conolly, K. Krishnan, G. Grant and M. WintermarkAmerican Journal of Neuroradiology February 2019, 40 (2) 206-212; DOI: https://doi.org/10.3174/ajnr.A5896
Chougar, L.
- EDITOR'S CHOICEAdult BrainOpen AccessImproving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image TranslationA. Hagiwara, Y. Otsuka, M. Hori, Y. Tachibana, K. Yokoyama, S. Fujita, C. Andica, K. Kamagata, R. Irie, S. Koshino, T. Maekawa, L. Chougar, A. Wada, M.Y. Takemura, N. Hattori and S. AokiAmerican Journal of Neuroradiology February 2019, 40 (2) 224-230; DOI: https://doi.org/10.3174/ajnr.A5927
Forty patients with MS were prospectively included and scanned (3T) to acquire synthetic MR imaging and conventional FLAIR images. Synthetic FLAIR images were created with the SyMRI software. Acquired data were divided into 30 training and 10 test datasets. A conditional generative adversarial network was trained to generate improved FLAIR images from raw synthetic MR imaging data using conventional FLAIR images as targets. The peak signal-to-noise ratio, normalized root mean square error, and the Dice index of MS lesion maps were calculated for synthetic and deep learning FLAIR images against conventional FLAIR images, respectively. Lesion conspicuity and the existence of artifacts were visually assessed. The peak signal-to-noise ratio and normalized root mean square error were significantly higher and lower, respectively, in generated-versus-synthetic FLAIR images in aggregate intracranial tissues and all tissue segments. The Dice index of lesion maps and visual lesion conspicuity were comparable between generated and synthetic FLAIR images. Using deep learning, the authors conclude that they improved the synthetic FLAIR image quality by generating FLAIR images that have contrast closer to that of conventional FLAIR images and fewer granular and swelling artifacts, while preserving the lesion contrast.
Clark, M.S.
- SpineYou have accessRenal Contrast on CT Myelography: Diagnostic Value in Patients with Spontaneous Intracranial HypotensionK.A. Kinsman, J.T. Verdoorn, P.H. Luetmer, M.S. Clark and F.E. DiehnAmerican Journal of Neuroradiology February 2019, 40 (2) 376-381; DOI: https://doi.org/10.3174/ajnr.A5934
Coblentz, A.
- FELLOWS' JOURNAL CLUBAdult BrainYou have accessA Deep Learning–Based Approach to Reduce Rescan and Recall Rates in Clinical MRI ExaminationsA. Sreekumari, D. Shanbhag, D. Yeo, T. Foo, J. Pilitsis, J. Polzin, U. Patil, A. Coblentz, A. Kapadia, J. Khinda, A. Boutet, J. Port and I. HancuAmerican Journal of Neuroradiology February 2019, 40 (2) 217-223; DOI: https://doi.org/10.3174/ajnr.A5926
The purpose of this study was to develop a fast, automated method for assessing rescan need in motion-corrupted brain series. A deep learning–based approach was developed, outputting a probability for a series to be clinically useful. Comparison of this per-series probability with a threshold, which can depend on scan indication and reading radiologist, determines whether a series needs to be rescanned. The deep learning classification performance was compared with that of 4 technologists and 5 radiologists in 49 test series with low and moderate motion artifacts. Fast, automated deep learning–based image-quality rating can decrease rescan and recall rates, while rendering them technologist-independent. It was estimated that decreasing rescans and recalls from the technologists' values to the values of deep learning could save hospitals $24,000/scanner/year.
Colosimo, C.
- PediatricsYou have accessBrain DSC MR Perfusion in Children: A Clinical Feasibility Study Using Different Technical Standards of Contrast AdministrationS. Gaudino, M. Martucci, A. Botto, E. Ruberto, E. Leone, A. Infante, A. Ramaglia, M. Caldarelli, P. Frassanito, F.M. Triulzi and C. ColosimoAmerican Journal of Neuroradiology February 2019, 40 (2) 359-365; DOI: https://doi.org/10.3174/ajnr.A5954
Conolly, S.
- Review ArticleOpen AccessA Review of Magnetic Particle Imaging and Perspectives on NeuroimagingL.C. Wu, Y. Zhang, G. Steinberg, H. Qu, S. Huang, M. Cheng, T. Bliss, F. Du, J. Rao, G. Song, L. Pisani, T. Doyle, S. Conolly, K. Krishnan, G. Grant and M. WintermarkAmerican Journal of Neuroradiology February 2019, 40 (2) 206-212; DOI: https://doi.org/10.3174/ajnr.A5896
D
Damiano, R.J.
- InterventionalOpen AccessOstium Ratio and Neck Ratio Could Predict the Outcome of Sidewall Intracranial Aneurysms Treated with Flow DivertersN. Paliwal, V.M. Tutino, H. Shallwani, J.S. Beecher, R.J. Damiano, H.J. Shakir, G.S. Atwal, V.S. Fennell, S.K. Natarajan, E.I. Levy, A.H. Siddiqui, J.M. Davies and H. MengAmerican Journal of Neuroradiology February 2019, 40 (2) 288-294; DOI: https://doi.org/10.3174/ajnr.A5953
Davies, J.
- InterventionalOpen AccessHigh-Definition Zoom Mode, a High-Resolution X-Ray Microscope for Neurointerventional Treatment Procedures: A Blinded-Rater Clinical-Utility StudyS.V. Setlur Nagesh, V. Fennel, J. Krebs, C. Ionita, J. Davies, D.R. Bednarek, M. Mokin, A.H. Siddiqui and S. RudinAmerican Journal of Neuroradiology February 2019, 40 (2) 302-308; DOI: https://doi.org/10.3174/ajnr.A5922
Davies, J.M.
- InterventionalOpen AccessOstium Ratio and Neck Ratio Could Predict the Outcome of Sidewall Intracranial Aneurysms Treated with Flow DivertersN. Paliwal, V.M. Tutino, H. Shallwani, J.S. Beecher, R.J. Damiano, H.J. Shakir, G.S. Atwal, V.S. Fennell, S.K. Natarajan, E.I. Levy, A.H. Siddiqui, J.M. Davies and H. MengAmerican Journal of Neuroradiology February 2019, 40 (2) 288-294; DOI: https://doi.org/10.3174/ajnr.A5953
Deschamps, R.
- SpineYou have accessA 3T Phase-Sensitive Inversion Recovery MRI Sequence Improves Detection of Cervical Spinal Cord Lesions and Shows Active Lesions in Patients with Multiple SclerosisA. Fechner, J. Savatovsky, J. El Methni, J.C. Sadik, O. Gout, R. Deschamps, A. Gueguen and A. LeclerAmerican Journal of Neuroradiology February 2019, 40 (2) 370-375; DOI: https://doi.org/10.3174/ajnr.A5941
Diehn, F.E.
- SpineYou have accessRenal Contrast on CT Myelography: Diagnostic Value in Patients with Spontaneous Intracranial HypotensionK.A. Kinsman, J.T. Verdoorn, P.H. Luetmer, M.S. Clark and F.E. DiehnAmerican Journal of Neuroradiology February 2019, 40 (2) 376-381; DOI: https://doi.org/10.3174/ajnr.A5934
Doyle, T.
- Review ArticleOpen AccessA Review of Magnetic Particle Imaging and Perspectives on NeuroimagingL.C. Wu, Y. Zhang, G. Steinberg, H. Qu, S. Huang, M. Cheng, T. Bliss, F. Du, J. Rao, G. Song, L. Pisani, T. Doyle, S. Conolly, K. Krishnan, G. Grant and M. WintermarkAmerican Journal of Neuroradiology February 2019, 40 (2) 206-212; DOI: https://doi.org/10.3174/ajnr.A5896
Dremmen, M.H.G.
- PediatricsOpen AccessCavum Septum Pellucidum in the General Pediatric Population and Its Relation to Surrounding Brain Structure Volumes, Cognitive Function, and Emotional or Behavioral ProblemsM.H.G. Dremmen, R.H. Bouhuis, L.M.E. Blanken, R.L. Muetzel, M.W. Vernooij, H.E. Marroun, V.W.V. Jaddoe, F.C. Verhulst, H. Tiemeier and T. WhiteAmerican Journal of Neuroradiology February 2019, 40 (2) 340-346; DOI: https://doi.org/10.3174/ajnr.A5939
Du, F.
- Review ArticleOpen AccessA Review of Magnetic Particle Imaging and Perspectives on NeuroimagingL.C. Wu, Y. Zhang, G. Steinberg, H. Qu, S. Huang, M. Cheng, T. Bliss, F. Du, J. Rao, G. Song, L. Pisani, T. Doyle, S. Conolly, K. Krishnan, G. Grant and M. WintermarkAmerican Journal of Neuroradiology February 2019, 40 (2) 206-212; DOI: https://doi.org/10.3174/ajnr.A5896
E
El Methni, J.
- SpineYou have accessA 3T Phase-Sensitive Inversion Recovery MRI Sequence Improves Detection of Cervical Spinal Cord Lesions and Shows Active Lesions in Patients with Multiple SclerosisA. Fechner, J. Savatovsky, J. El Methni, J.C. Sadik, O. Gout, R. Deschamps, A. Gueguen and A. LeclerAmerican Journal of Neuroradiology February 2019, 40 (2) 370-375; DOI: https://doi.org/10.3174/ajnr.A5941
Eriksson, A.
- LETTERYou have accessIs Delayed Speech Development a Long-Term Sequela of Birth-Related Subdural Hematoma?N. Lynøe, D. Olsson and A. ErikssonAmerican Journal of Neuroradiology February 2019, 40 (2) E10; DOI: https://doi.org/10.3174/ajnr.A5890
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Fan, D.
- EDITOR'S CHOICEAdult BrainOpen AccessUtility of Dynamic Susceptibility Contrast Perfusion-Weighted MR Imaging and 11C-Methionine PET/CT for Differentiation of Tumor Recurrence from Radiation Injury in Patients with High-Grade GliomasZ. Qiao, X. Zhao, K. Wang, Y. Zhang, D. Fan, T. Yu, H. Shen, Q. Chen and L. AiAmerican Journal of Neuroradiology February 2019, 40 (2) 253-259; DOI: https://doi.org/10.3174/ajnr.A5952
Forty-two patients with high-grade gliomas were enrolled in this study. The final diagnosis was determined by histopathologic analysis or clinical follow-up. PWI and PET parameters were recorded and compared between patients with recurrence and those with radiation injury using Student t tests. Receiver operating characteristic and logistic regression analyses were used to determine the diagnostic performance of each parameter. The final diagnosis was recurrence in 33 patients and radiation injury in 9. PET/CT showed a patient-based sensitivity and specificity of 0.909 and 0.556, respectively, while PWI showed values of 0.667 and 0.778, respectively. The maximum standardized uptake value, mean standardized uptake value, tumor-to-background maximum standardized uptake value, and mean relative CBV were significantly higher for patients with recurrence than for patients with radiation injury. All these parameters showed a significant discriminative power in receiver operating characteristic analysis. Both 11C-methionine PET/CT and PWI are equally accurate in the differentiation of recurrence from radiation injury in patients with high-grade gliomas, and a combination of the 2 modalities could result in increased diagnostic accuracy.
Fechner, A.
- SpineYou have accessA 3T Phase-Sensitive Inversion Recovery MRI Sequence Improves Detection of Cervical Spinal Cord Lesions and Shows Active Lesions in Patients with Multiple SclerosisA. Fechner, J. Savatovsky, J. El Methni, J.C. Sadik, O. Gout, R. Deschamps, A. Gueguen and A. LeclerAmerican Journal of Neuroradiology February 2019, 40 (2) 370-375; DOI: https://doi.org/10.3174/ajnr.A5941
Fennel, V.
- InterventionalOpen AccessHigh-Definition Zoom Mode, a High-Resolution X-Ray Microscope for Neurointerventional Treatment Procedures: A Blinded-Rater Clinical-Utility StudyS.V. Setlur Nagesh, V. Fennel, J. Krebs, C. Ionita, J. Davies, D.R. Bednarek, M. Mokin, A.H. Siddiqui and S. RudinAmerican Journal of Neuroradiology February 2019, 40 (2) 302-308; DOI: https://doi.org/10.3174/ajnr.A5922
Fennell, V.S.
- InterventionalOpen AccessOstium Ratio and Neck Ratio Could Predict the Outcome of Sidewall Intracranial Aneurysms Treated with Flow DivertersN. Paliwal, V.M. Tutino, H. Shallwani, J.S. Beecher, R.J. Damiano, H.J. Shakir, G.S. Atwal, V.S. Fennell, S.K. Natarajan, E.I. Levy, A.H. Siddiqui, J.M. Davies and H. MengAmerican Journal of Neuroradiology February 2019, 40 (2) 288-294; DOI: https://doi.org/10.3174/ajnr.A5953
Foo, T.
- FELLOWS' JOURNAL CLUBAdult BrainYou have accessA Deep Learning–Based Approach to Reduce Rescan and Recall Rates in Clinical MRI ExaminationsA. Sreekumari, D. Shanbhag, D. Yeo, T. Foo, J. Pilitsis, J. Polzin, U. Patil, A. Coblentz, A. Kapadia, J. Khinda, A. Boutet, J. Port and I. HancuAmerican Journal of Neuroradiology February 2019, 40 (2) 217-223; DOI: https://doi.org/10.3174/ajnr.A5926
The purpose of this study was to develop a fast, automated method for assessing rescan need in motion-corrupted brain series. A deep learning–based approach was developed, outputting a probability for a series to be clinically useful. Comparison of this per-series probability with a threshold, which can depend on scan indication and reading radiologist, determines whether a series needs to be rescanned. The deep learning classification performance was compared with that of 4 technologists and 5 radiologists in 49 test series with low and moderate motion artifacts. Fast, automated deep learning–based image-quality rating can decrease rescan and recall rates, while rendering them technologist-independent. It was estimated that decreasing rescans and recalls from the technologists' values to the values of deep learning could save hospitals $24,000/scanner/year.
Frassanito, P.
- PediatricsYou have accessBrain DSC MR Perfusion in Children: A Clinical Feasibility Study Using Different Technical Standards of Contrast AdministrationS. Gaudino, M. Martucci, A. Botto, E. Ruberto, E. Leone, A. Infante, A. Ramaglia, M. Caldarelli, P. Frassanito, F.M. Triulzi and C. ColosimoAmerican Journal of Neuroradiology February 2019, 40 (2) 359-365; DOI: https://doi.org/10.3174/ajnr.A5954
Fujita, S.
- EDITOR'S CHOICEAdult BrainOpen AccessImproving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image TranslationA. Hagiwara, Y. Otsuka, M. Hori, Y. Tachibana, K. Yokoyama, S. Fujita, C. Andica, K. Kamagata, R. Irie, S. Koshino, T. Maekawa, L. Chougar, A. Wada, M.Y. Takemura, N. Hattori and S. AokiAmerican Journal of Neuroradiology February 2019, 40 (2) 224-230; DOI: https://doi.org/10.3174/ajnr.A5927
Forty patients with MS were prospectively included and scanned (3T) to acquire synthetic MR imaging and conventional FLAIR images. Synthetic FLAIR images were created with the SyMRI software. Acquired data were divided into 30 training and 10 test datasets. A conditional generative adversarial network was trained to generate improved FLAIR images from raw synthetic MR imaging data using conventional FLAIR images as targets. The peak signal-to-noise ratio, normalized root mean square error, and the Dice index of MS lesion maps were calculated for synthetic and deep learning FLAIR images against conventional FLAIR images, respectively. Lesion conspicuity and the existence of artifacts were visually assessed. The peak signal-to-noise ratio and normalized root mean square error were significantly higher and lower, respectively, in generated-versus-synthetic FLAIR images in aggregate intracranial tissues and all tissue segments. The Dice index of lesion maps and visual lesion conspicuity were comparable between generated and synthetic FLAIR images. Using deep learning, the authors conclude that they improved the synthetic FLAIR image quality by generating FLAIR images that have contrast closer to that of conventional FLAIR images and fewer granular and swelling artifacts, while preserving the lesion contrast.
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Gaudino, S.
- PediatricsYou have accessBrain DSC MR Perfusion in Children: A Clinical Feasibility Study Using Different Technical Standards of Contrast AdministrationS. Gaudino, M. Martucci, A. Botto, E. Ruberto, E. Leone, A. Infante, A. Ramaglia, M. Caldarelli, P. Frassanito, F.M. Triulzi and C. ColosimoAmerican Journal of Neuroradiology February 2019, 40 (2) 359-365; DOI: https://doi.org/10.3174/ajnr.A5954
Gohel, S.
- FunctionalOpen AccessResting-State Functional Connectivity of the Middle Frontal Gyrus Can Predict Language Lateralization in Patients with Brain TumorsS. Gohel, M.E. Laino, G. Rajeev-Kumar, M. Jenabi, K. Peck, V. Hatzoglou, V. Tabar, A.I. Holodny and B. VachhaAmerican Journal of Neuroradiology February 2019, 40 (2) 319-325; DOI: https://doi.org/10.3174/ajnr.A5932
Golden, E.
- Head & NeckOpen AccessContrast-Enhanced 3D-FLAIR Imaging of the Optic Nerve and Optic Nerve Head: Novel Neuroimaging Findings of Idiopathic Intracranial HypertensionE. Golden, R. Krivochenitser, N. Mathews, C. Longhurst, Y. Chen, J.-P.J. Yu and T.A. KennedyAmerican Journal of Neuroradiology February 2019, 40 (2) 334-339; DOI: https://doi.org/10.3174/ajnr.A5937
Gout, O.
- SpineYou have accessA 3T Phase-Sensitive Inversion Recovery MRI Sequence Improves Detection of Cervical Spinal Cord Lesions and Shows Active Lesions in Patients with Multiple SclerosisA. Fechner, J. Savatovsky, J. El Methni, J.C. Sadik, O. Gout, R. Deschamps, A. Gueguen and A. LeclerAmerican Journal of Neuroradiology February 2019, 40 (2) 370-375; DOI: https://doi.org/10.3174/ajnr.A5941
Grant, G.
- Review ArticleOpen AccessA Review of Magnetic Particle Imaging and Perspectives on NeuroimagingL.C. Wu, Y. Zhang, G. Steinberg, H. Qu, S. Huang, M. Cheng, T. Bliss, F. Du, J. Rao, G. Song, L. Pisani, T. Doyle, S. Conolly, K. Krishnan, G. Grant and M. WintermarkAmerican Journal of Neuroradiology February 2019, 40 (2) 206-212; DOI: https://doi.org/10.3174/ajnr.A5896
Grinberg, A.
- PediatricsYou have accessVolumetric MRI Study of the Brain in Fetuses with Intrauterine Cytomegalovirus Infection and Its Correlation to Neurodevelopmental OutcomeA. Grinberg, E. Katorza, D. Hoffman, R. Ber, A. Mayer and S. LipitzAmerican Journal of Neuroradiology February 2019, 40 (2) 353-358; DOI: https://doi.org/10.3174/ajnr.A5948
Gueguen, A.
- SpineYou have accessA 3T Phase-Sensitive Inversion Recovery MRI Sequence Improves Detection of Cervical Spinal Cord Lesions and Shows Active Lesions in Patients with Multiple SclerosisA. Fechner, J. Savatovsky, J. El Methni, J.C. Sadik, O. Gout, R. Deschamps, A. Gueguen and A. LeclerAmerican Journal of Neuroradiology February 2019, 40 (2) 370-375; DOI: https://doi.org/10.3174/ajnr.A5941
H
Hadid, S.A.
- Adult BrainYou have accessSexual Dimorphism and Hemispheric Asymmetry of Hippocampal Volumetric Integrity in Normal Aging and Alzheimer DiseaseB.A. Ardekani, S.A. Hadid, E. Blessing and A.H. BachmanAmerican Journal of Neuroradiology February 2019, 40 (2) 276-282; DOI: https://doi.org/10.3174/ajnr.A5943
Hagiwara, A.
- Adult BrainOpen AccessEffect of Gadolinium on the Estimation of Myelin and Brain Tissue Volumes Based on Quantitative Synthetic MRIT. Maekawa, A. Hagiwara, M. Hori, C. Andica, T. Haruyama, M. Kuramochi, M. Nakazawa, S. Koshino, R. Irie, K. Kamagata, A. Wada, O. Abe and S. AokiAmerican Journal of Neuroradiology February 2019, 40 (2) 231-237; DOI: https://doi.org/10.3174/ajnr.A5921
- EDITOR'S CHOICEAdult BrainOpen AccessImproving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image TranslationA. Hagiwara, Y. Otsuka, M. Hori, Y. Tachibana, K. Yokoyama, S. Fujita, C. Andica, K. Kamagata, R. Irie, S. Koshino, T. Maekawa, L. Chougar, A. Wada, M.Y. Takemura, N. Hattori and S. AokiAmerican Journal of Neuroradiology February 2019, 40 (2) 224-230; DOI: https://doi.org/10.3174/ajnr.A5927
Forty patients with MS were prospectively included and scanned (3T) to acquire synthetic MR imaging and conventional FLAIR images. Synthetic FLAIR images were created with the SyMRI software. Acquired data were divided into 30 training and 10 test datasets. A conditional generative adversarial network was trained to generate improved FLAIR images from raw synthetic MR imaging data using conventional FLAIR images as targets. The peak signal-to-noise ratio, normalized root mean square error, and the Dice index of MS lesion maps were calculated for synthetic and deep learning FLAIR images against conventional FLAIR images, respectively. Lesion conspicuity and the existence of artifacts were visually assessed. The peak signal-to-noise ratio and normalized root mean square error were significantly higher and lower, respectively, in generated-versus-synthetic FLAIR images in aggregate intracranial tissues and all tissue segments. The Dice index of lesion maps and visual lesion conspicuity were comparable between generated and synthetic FLAIR images. Using deep learning, the authors conclude that they improved the synthetic FLAIR image quality by generating FLAIR images that have contrast closer to that of conventional FLAIR images and fewer granular and swelling artifacts, while preserving the lesion contrast.
Han, J.
- LETTERYou have accessThe “Bovine Aortic Arch”: Time to Rethink the True Origin of the Term?L.J. Ridley, J. Han and H. XiangAmerican Journal of Neuroradiology February 2019, 40 (2) E7-E8; DOI: https://doi.org/10.3174/ajnr.A5924
Hancu, I.
- FELLOWS' JOURNAL CLUBAdult BrainYou have accessA Deep Learning–Based Approach to Reduce Rescan and Recall Rates in Clinical MRI ExaminationsA. Sreekumari, D. Shanbhag, D. Yeo, T. Foo, J. Pilitsis, J. Polzin, U. Patil, A. Coblentz, A. Kapadia, J. Khinda, A. Boutet, J. Port and I. HancuAmerican Journal of Neuroradiology February 2019, 40 (2) 217-223; DOI: https://doi.org/10.3174/ajnr.A5926
The purpose of this study was to develop a fast, automated method for assessing rescan need in motion-corrupted brain series. A deep learning–based approach was developed, outputting a probability for a series to be clinically useful. Comparison of this per-series probability with a threshold, which can depend on scan indication and reading radiologist, determines whether a series needs to be rescanned. The deep learning classification performance was compared with that of 4 technologists and 5 radiologists in 49 test series with low and moderate motion artifacts. Fast, automated deep learning–based image-quality rating can decrease rescan and recall rates, while rendering them technologist-independent. It was estimated that decreasing rescans and recalls from the technologists' values to the values of deep learning could save hospitals $24,000/scanner/year.
Hantus, S.
- Adult BrainYou have accessFDG-PET and MRI in the Evolution of New-Onset Refractory Status EpilepticusT. Strohm, C. Steriade, G. Wu, S. Hantus, A. Rae-Grant and M. LarvieAmerican Journal of Neuroradiology February 2019, 40 (2) 238-244; DOI: https://doi.org/10.3174/ajnr.A5929
Haruyama, T.
- Adult BrainOpen AccessEffect of Gadolinium on the Estimation of Myelin and Brain Tissue Volumes Based on Quantitative Synthetic MRIT. Maekawa, A. Hagiwara, M. Hori, C. Andica, T. Haruyama, M. Kuramochi, M. Nakazawa, S. Koshino, R. Irie, K. Kamagata, A. Wada, O. Abe and S. AokiAmerican Journal of Neuroradiology February 2019, 40 (2) 231-237; DOI: https://doi.org/10.3174/ajnr.A5921
Hattori, N.
- EDITOR'S CHOICEAdult BrainOpen AccessImproving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image TranslationA. Hagiwara, Y. Otsuka, M. Hori, Y. Tachibana, K. Yokoyama, S. Fujita, C. Andica, K. Kamagata, R. Irie, S. Koshino, T. Maekawa, L. Chougar, A. Wada, M.Y. Takemura, N. Hattori and S. AokiAmerican Journal of Neuroradiology February 2019, 40 (2) 224-230; DOI: https://doi.org/10.3174/ajnr.A5927
Forty patients with MS were prospectively included and scanned (3T) to acquire synthetic MR imaging and conventional FLAIR images. Synthetic FLAIR images were created with the SyMRI software. Acquired data were divided into 30 training and 10 test datasets. A conditional generative adversarial network was trained to generate improved FLAIR images from raw synthetic MR imaging data using conventional FLAIR images as targets. The peak signal-to-noise ratio, normalized root mean square error, and the Dice index of MS lesion maps were calculated for synthetic and deep learning FLAIR images against conventional FLAIR images, respectively. Lesion conspicuity and the existence of artifacts were visually assessed. The peak signal-to-noise ratio and normalized root mean square error were significantly higher and lower, respectively, in generated-versus-synthetic FLAIR images in aggregate intracranial tissues and all tissue segments. The Dice index of lesion maps and visual lesion conspicuity were comparable between generated and synthetic FLAIR images. Using deep learning, the authors conclude that they improved the synthetic FLAIR image quality by generating FLAIR images that have contrast closer to that of conventional FLAIR images and fewer granular and swelling artifacts, while preserving the lesion contrast.
Hatzoglou, V.
- FunctionalOpen AccessResting-State Functional Connectivity of the Middle Frontal Gyrus Can Predict Language Lateralization in Patients with Brain TumorsS. Gohel, M.E. Laino, G. Rajeev-Kumar, M. Jenabi, K. Peck, V. Hatzoglou, V. Tabar, A.I. Holodny and B. VachhaAmerican Journal of Neuroradiology February 2019, 40 (2) 319-325; DOI: https://doi.org/10.3174/ajnr.A5932
Herweh, C.
- InterventionalYou have accessClinical Outcome after Thrombectomy in Patients with Stroke with Premorbid Modified Rankin Scale Scores of 3 and 4: A Cohort Study with 136 PatientsF. Seker, J. Pfaff, S. Schönenberger, C. Herweh, S. Nagel, P.A. Ringleb, M. Bendszus and M.A. MöhlenbruchAmerican Journal of Neuroradiology February 2019, 40 (2) 283-286; DOI: https://doi.org/10.3174/ajnr.A5920
Hilditch, C.A.
- SpineYou have accessSingle-Needle Lateral Sacroplasty TechniqueP.J. Nicholson, C.A. Hilditch, W. Brinjikji, A.C.O. Tsang and R. SmithAmerican Journal of Neuroradiology February 2019, 40 (2) 382-385; DOI: https://doi.org/10.3174/ajnr.A5884
Hillen, T.J.
- InterventionalYou have accessPercutaneous CT-Guided Skull Biopsy: Feasibility, Safety, and Diagnostic YieldA. Tomasian, T.J. Hillen and J.W. JenningsAmerican Journal of Neuroradiology February 2019, 40 (2) 309-312; DOI: https://doi.org/10.3174/ajnr.A5949
Hoffman, D.
- PediatricsYou have accessVolumetric MRI Study of the Brain in Fetuses with Intrauterine Cytomegalovirus Infection and Its Correlation to Neurodevelopmental OutcomeA. Grinberg, E. Katorza, D. Hoffman, R. Ber, A. Mayer and S. LipitzAmerican Journal of Neuroradiology February 2019, 40 (2) 353-358; DOI: https://doi.org/10.3174/ajnr.A5948
Holodny, A.I.
- FunctionalOpen AccessResting-State Functional Connectivity of the Middle Frontal Gyrus Can Predict Language Lateralization in Patients with Brain TumorsS. Gohel, M.E. Laino, G. Rajeev-Kumar, M. Jenabi, K. Peck, V. Hatzoglou, V. Tabar, A.I. Holodny and B. VachhaAmerican Journal of Neuroradiology February 2019, 40 (2) 319-325; DOI: https://doi.org/10.3174/ajnr.A5932
Hori, M.
- Adult BrainOpen AccessEffect of Gadolinium on the Estimation of Myelin and Brain Tissue Volumes Based on Quantitative Synthetic MRIT. Maekawa, A. Hagiwara, M. Hori, C. Andica, T. Haruyama, M. Kuramochi, M. Nakazawa, S. Koshino, R. Irie, K. Kamagata, A. Wada, O. Abe and S. AokiAmerican Journal of Neuroradiology February 2019, 40 (2) 231-237; DOI: https://doi.org/10.3174/ajnr.A5921
- EDITOR'S CHOICEAdult BrainOpen AccessImproving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image TranslationA. Hagiwara, Y. Otsuka, M. Hori, Y. Tachibana, K. Yokoyama, S. Fujita, C. Andica, K. Kamagata, R. Irie, S. Koshino, T. Maekawa, L. Chougar, A. Wada, M.Y. Takemura, N. Hattori and S. AokiAmerican Journal of Neuroradiology February 2019, 40 (2) 224-230; DOI: https://doi.org/10.3174/ajnr.A5927
Forty patients with MS were prospectively included and scanned (3T) to acquire synthetic MR imaging and conventional FLAIR images. Synthetic FLAIR images were created with the SyMRI software. Acquired data were divided into 30 training and 10 test datasets. A conditional generative adversarial network was trained to generate improved FLAIR images from raw synthetic MR imaging data using conventional FLAIR images as targets. The peak signal-to-noise ratio, normalized root mean square error, and the Dice index of MS lesion maps were calculated for synthetic and deep learning FLAIR images against conventional FLAIR images, respectively. Lesion conspicuity and the existence of artifacts were visually assessed. The peak signal-to-noise ratio and normalized root mean square error were significantly higher and lower, respectively, in generated-versus-synthetic FLAIR images in aggregate intracranial tissues and all tissue segments. The Dice index of lesion maps and visual lesion conspicuity were comparable between generated and synthetic FLAIR images. Using deep learning, the authors conclude that they improved the synthetic FLAIR image quality by generating FLAIR images that have contrast closer to that of conventional FLAIR images and fewer granular and swelling artifacts, while preserving the lesion contrast.
Hu, H.
- Extracranial VascularOpen AccessTransient Ischemic Attack and Carotid WebH. Hu, X. Zhang, J. Zhao, Y. Li and Y. ZhaoAmerican Journal of Neuroradiology February 2019, 40 (2) 313-318; DOI: https://doi.org/10.3174/ajnr.A5946
Huang, L.
- Adult BrainYou have accessAlterations in Brain Metabolites in Patients with Epilepsy with Impaired Consciousness: A Case-Control Study of Interictal Multivoxel 1H-MRS FindingsZ. Tan, X. Long, F. Tian, L. Huang, F. Xie and S. LiAmerican Journal of Neuroradiology February 2019, 40 (2) 245-252; DOI: https://doi.org/10.3174/ajnr.A5944
Huang, S.
- Review ArticleOpen AccessA Review of Magnetic Particle Imaging and Perspectives on NeuroimagingL.C. Wu, Y. Zhang, G. Steinberg, H. Qu, S. Huang, M. Cheng, T. Bliss, F. Du, J. Rao, G. Song, L. Pisani, T. Doyle, S. Conolly, K. Krishnan, G. Grant and M. WintermarkAmerican Journal of Neuroradiology February 2019, 40 (2) 206-212; DOI: https://doi.org/10.3174/ajnr.A5896
Huang, Y.-C.
- Adult BrainOpen AccessStandardized MR Perfusion Scoring System for Evaluation of Sequential Perfusion Changes and Surgical Outcome of Moyamoya DiseaseY.-H. Lin, M.-F. Kuo, C.-J. Lu, C.-W. Lee, S.-H. Yang, Y.-C. Huang, H.-M. Liu and Y.-F. ChenAmerican Journal of Neuroradiology February 2019, 40 (2) 260-266; DOI: https://doi.org/10.3174/ajnr.A5945
I
Infante, A.
- PediatricsYou have accessBrain DSC MR Perfusion in Children: A Clinical Feasibility Study Using Different Technical Standards of Contrast AdministrationS. Gaudino, M. Martucci, A. Botto, E. Ruberto, E. Leone, A. Infante, A. Ramaglia, M. Caldarelli, P. Frassanito, F.M. Triulzi and C. ColosimoAmerican Journal of Neuroradiology February 2019, 40 (2) 359-365; DOI: https://doi.org/10.3174/ajnr.A5954
Ionita, C.
- InterventionalOpen AccessHigh-Definition Zoom Mode, a High-Resolution X-Ray Microscope for Neurointerventional Treatment Procedures: A Blinded-Rater Clinical-Utility StudyS.V. Setlur Nagesh, V. Fennel, J. Krebs, C. Ionita, J. Davies, D.R. Bednarek, M. Mokin, A.H. Siddiqui and S. RudinAmerican Journal of Neuroradiology February 2019, 40 (2) 302-308; DOI: https://doi.org/10.3174/ajnr.A5922
Irie, R.
- Adult BrainOpen AccessEffect of Gadolinium on the Estimation of Myelin and Brain Tissue Volumes Based on Quantitative Synthetic MRIT. Maekawa, A. Hagiwara, M. Hori, C. Andica, T. Haruyama, M. Kuramochi, M. Nakazawa, S. Koshino, R. Irie, K. Kamagata, A. Wada, O. Abe and S. AokiAmerican Journal of Neuroradiology February 2019, 40 (2) 231-237; DOI: https://doi.org/10.3174/ajnr.A5921
- EDITOR'S CHOICEAdult BrainOpen AccessImproving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image TranslationA. Hagiwara, Y. Otsuka, M. Hori, Y. Tachibana, K. Yokoyama, S. Fujita, C. Andica, K. Kamagata, R. Irie, S. Koshino, T. Maekawa, L. Chougar, A. Wada, M.Y. Takemura, N. Hattori and S. AokiAmerican Journal of Neuroradiology February 2019, 40 (2) 224-230; DOI: https://doi.org/10.3174/ajnr.A5927
Forty patients with MS were prospectively included and scanned (3T) to acquire synthetic MR imaging and conventional FLAIR images. Synthetic FLAIR images were created with the SyMRI software. Acquired data were divided into 30 training and 10 test datasets. A conditional generative adversarial network was trained to generate improved FLAIR images from raw synthetic MR imaging data using conventional FLAIR images as targets. The peak signal-to-noise ratio, normalized root mean square error, and the Dice index of MS lesion maps were calculated for synthetic and deep learning FLAIR images against conventional FLAIR images, respectively. Lesion conspicuity and the existence of artifacts were visually assessed. The peak signal-to-noise ratio and normalized root mean square error were significantly higher and lower, respectively, in generated-versus-synthetic FLAIR images in aggregate intracranial tissues and all tissue segments. The Dice index of lesion maps and visual lesion conspicuity were comparable between generated and synthetic FLAIR images. Using deep learning, the authors conclude that they improved the synthetic FLAIR image quality by generating FLAIR images that have contrast closer to that of conventional FLAIR images and fewer granular and swelling artifacts, while preserving the lesion contrast.
J
Jaddoe, V.W.V.
- PediatricsOpen AccessCavum Septum Pellucidum in the General Pediatric Population and Its Relation to Surrounding Brain Structure Volumes, Cognitive Function, and Emotional or Behavioral ProblemsM.H.G. Dremmen, R.H. Bouhuis, L.M.E. Blanken, R.L. Muetzel, M.W. Vernooij, H.E. Marroun, V.W.V. Jaddoe, F.C. Verhulst, H. Tiemeier and T. WhiteAmerican Journal of Neuroradiology February 2019, 40 (2) 340-346; DOI: https://doi.org/10.3174/ajnr.A5939
Jenabi, M.
- FunctionalOpen AccessResting-State Functional Connectivity of the Middle Frontal Gyrus Can Predict Language Lateralization in Patients with Brain TumorsS. Gohel, M.E. Laino, G. Rajeev-Kumar, M. Jenabi, K. Peck, V. Hatzoglou, V. Tabar, A.I. Holodny and B. VachhaAmerican Journal of Neuroradiology February 2019, 40 (2) 319-325; DOI: https://doi.org/10.3174/ajnr.A5932
Jennings, J.W.
- InterventionalYou have accessPercutaneous CT-Guided Skull Biopsy: Feasibility, Safety, and Diagnostic YieldA. Tomasian, T.J. Hillen and J.W. JenningsAmerican Journal of Neuroradiology February 2019, 40 (2) 309-312; DOI: https://doi.org/10.3174/ajnr.A5949
Jordan, J.E.
- FELLOWS' JOURNAL CLUBPractice PerspectivesYou have accessA Call to Improve the Visibility and Access of the American College of Radiology Practice Parameters in Neuroradiology: A Powerful Value Stream Enhancer for Both Neuroradiologists and PatientsJ.E. Jordan and A. NorbashAmerican Journal of Neuroradiology February 2019, 40 (2) 213-216; DOI: https://doi.org/10.3174/ajnr.A5923
The authors suggest that practitioners gain a high degree of familiarity with accessing practice parameters. Doing so will provide additional reference and access to the practice parameters when medical literature searches are undertaken or when questions arise regarding best practices. Such an approach will ensure that future neuroradiology clinical guidelines or technical standards documents are provided as broad an exposure as possible. This effort could enhance the visibility and accessibility of the quality of practice for neuroradiologists, provide needed clinical guidance to practice state-of-the-art neuroradiology/radiology, and ensure the visibility of our valuable contributions to both individual patient care and collective patient outcomes.
K
Kadom, N.
- PediatricsYou have accessHigh-Grade Gliomas in Children with Neurofibromatosis Type 1: Literature Review and Illustrative CasesC.D. Spyris, R.C. Castellino, M.J. Schniederjan and N. KadomAmerican Journal of Neuroradiology February 2019, 40 (2) 366-369; DOI: https://doi.org/10.3174/ajnr.A5888
Kamagata, K.
- Adult BrainOpen AccessEffect of Gadolinium on the Estimation of Myelin and Brain Tissue Volumes Based on Quantitative Synthetic MRIT. Maekawa, A. Hagiwara, M. Hori, C. Andica, T. Haruyama, M. Kuramochi, M. Nakazawa, S. Koshino, R. Irie, K. Kamagata, A. Wada, O. Abe and S. AokiAmerican Journal of Neuroradiology February 2019, 40 (2) 231-237; DOI: https://doi.org/10.3174/ajnr.A5921
- EDITOR'S CHOICEAdult BrainOpen AccessImproving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image TranslationA. Hagiwara, Y. Otsuka, M. Hori, Y. Tachibana, K. Yokoyama, S. Fujita, C. Andica, K. Kamagata, R. Irie, S. Koshino, T. Maekawa, L. Chougar, A. Wada, M.Y. Takemura, N. Hattori and S. AokiAmerican Journal of Neuroradiology February 2019, 40 (2) 224-230; DOI: https://doi.org/10.3174/ajnr.A5927
Forty patients with MS were prospectively included and scanned (3T) to acquire synthetic MR imaging and conventional FLAIR images. Synthetic FLAIR images were created with the SyMRI software. Acquired data were divided into 30 training and 10 test datasets. A conditional generative adversarial network was trained to generate improved FLAIR images from raw synthetic MR imaging data using conventional FLAIR images as targets. The peak signal-to-noise ratio, normalized root mean square error, and the Dice index of MS lesion maps were calculated for synthetic and deep learning FLAIR images against conventional FLAIR images, respectively. Lesion conspicuity and the existence of artifacts were visually assessed. The peak signal-to-noise ratio and normalized root mean square error were significantly higher and lower, respectively, in generated-versus-synthetic FLAIR images in aggregate intracranial tissues and all tissue segments. The Dice index of lesion maps and visual lesion conspicuity were comparable between generated and synthetic FLAIR images. Using deep learning, the authors conclude that they improved the synthetic FLAIR image quality by generating FLAIR images that have contrast closer to that of conventional FLAIR images and fewer granular and swelling artifacts, while preserving the lesion contrast.
Kapadia, A.
- FELLOWS' JOURNAL CLUBAdult BrainYou have accessA Deep Learning–Based Approach to Reduce Rescan and Recall Rates in Clinical MRI ExaminationsA. Sreekumari, D. Shanbhag, D. Yeo, T. Foo, J. Pilitsis, J. Polzin, U. Patil, A. Coblentz, A. Kapadia, J. Khinda, A. Boutet, J. Port and I. HancuAmerican Journal of Neuroradiology February 2019, 40 (2) 217-223; DOI: https://doi.org/10.3174/ajnr.A5926
The purpose of this study was to develop a fast, automated method for assessing rescan need in motion-corrupted brain series. A deep learning–based approach was developed, outputting a probability for a series to be clinically useful. Comparison of this per-series probability with a threshold, which can depend on scan indication and reading radiologist, determines whether a series needs to be rescanned. The deep learning classification performance was compared with that of 4 technologists and 5 radiologists in 49 test series with low and moderate motion artifacts. Fast, automated deep learning–based image-quality rating can decrease rescan and recall rates, while rendering them technologist-independent. It was estimated that decreasing rescans and recalls from the technologists' values to the values of deep learning could save hospitals $24,000/scanner/year.
Katorza, E.
- PediatricsYou have accessVolumetric MRI Study of the Brain in Fetuses with Intrauterine Cytomegalovirus Infection and Its Correlation to Neurodevelopmental OutcomeA. Grinberg, E. Katorza, D. Hoffman, R. Ber, A. Mayer and S. LipitzAmerican Journal of Neuroradiology February 2019, 40 (2) 353-358; DOI: https://doi.org/10.3174/ajnr.A5948
Kennedy, T.A.
- Head & NeckOpen AccessContrast-Enhanced 3D-FLAIR Imaging of the Optic Nerve and Optic Nerve Head: Novel Neuroimaging Findings of Idiopathic Intracranial HypertensionE. Golden, R. Krivochenitser, N. Mathews, C. Longhurst, Y. Chen, J.-P.J. Yu and T.A. KennedyAmerican Journal of Neuroradiology February 2019, 40 (2) 334-339; DOI: https://doi.org/10.3174/ajnr.A5937
Khinda, J.
- FELLOWS' JOURNAL CLUBAdult BrainYou have accessA Deep Learning–Based Approach to Reduce Rescan and Recall Rates in Clinical MRI ExaminationsA. Sreekumari, D. Shanbhag, D. Yeo, T. Foo, J. Pilitsis, J. Polzin, U. Patil, A. Coblentz, A. Kapadia, J. Khinda, A. Boutet, J. Port and I. HancuAmerican Journal of Neuroradiology February 2019, 40 (2) 217-223; DOI: https://doi.org/10.3174/ajnr.A5926
The purpose of this study was to develop a fast, automated method for assessing rescan need in motion-corrupted brain series. A deep learning–based approach was developed, outputting a probability for a series to be clinically useful. Comparison of this per-series probability with a threshold, which can depend on scan indication and reading radiologist, determines whether a series needs to be rescanned. The deep learning classification performance was compared with that of 4 technologists and 5 radiologists in 49 test series with low and moderate motion artifacts. Fast, automated deep learning–based image-quality rating can decrease rescan and recall rates, while rendering them technologist-independent. It was estimated that decreasing rescans and recalls from the technologists' values to the values of deep learning could save hospitals $24,000/scanner/year.
Kinsman, K.A.
- SpineYou have accessRenal Contrast on CT Myelography: Diagnostic Value in Patients with Spontaneous Intracranial HypotensionK.A. Kinsman, J.T. Verdoorn, P.H. Luetmer, M.S. Clark and F.E. DiehnAmerican Journal of Neuroradiology February 2019, 40 (2) 376-381; DOI: https://doi.org/10.3174/ajnr.A5934
Koshino, S.
- Adult BrainOpen AccessEffect of Gadolinium on the Estimation of Myelin and Brain Tissue Volumes Based on Quantitative Synthetic MRIT. Maekawa, A. Hagiwara, M. Hori, C. Andica, T. Haruyama, M. Kuramochi, M. Nakazawa, S. Koshino, R. Irie, K. Kamagata, A. Wada, O. Abe and S. AokiAmerican Journal of Neuroradiology February 2019, 40 (2) 231-237; DOI: https://doi.org/10.3174/ajnr.A5921
- EDITOR'S CHOICEAdult BrainOpen AccessImproving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image TranslationA. Hagiwara, Y. Otsuka, M. Hori, Y. Tachibana, K. Yokoyama, S. Fujita, C. Andica, K. Kamagata, R. Irie, S. Koshino, T. Maekawa, L. Chougar, A. Wada, M.Y. Takemura, N. Hattori and S. AokiAmerican Journal of Neuroradiology February 2019, 40 (2) 224-230; DOI: https://doi.org/10.3174/ajnr.A5927
Forty patients with MS were prospectively included and scanned (3T) to acquire synthetic MR imaging and conventional FLAIR images. Synthetic FLAIR images were created with the SyMRI software. Acquired data were divided into 30 training and 10 test datasets. A conditional generative adversarial network was trained to generate improved FLAIR images from raw synthetic MR imaging data using conventional FLAIR images as targets. The peak signal-to-noise ratio, normalized root mean square error, and the Dice index of MS lesion maps were calculated for synthetic and deep learning FLAIR images against conventional FLAIR images, respectively. Lesion conspicuity and the existence of artifacts were visually assessed. The peak signal-to-noise ratio and normalized root mean square error were significantly higher and lower, respectively, in generated-versus-synthetic FLAIR images in aggregate intracranial tissues and all tissue segments. The Dice index of lesion maps and visual lesion conspicuity were comparable between generated and synthetic FLAIR images. Using deep learning, the authors conclude that they improved the synthetic FLAIR image quality by generating FLAIR images that have contrast closer to that of conventional FLAIR images and fewer granular and swelling artifacts, while preserving the lesion contrast.
Krebs, J.
- InterventionalOpen AccessHigh-Definition Zoom Mode, a High-Resolution X-Ray Microscope for Neurointerventional Treatment Procedures: A Blinded-Rater Clinical-Utility StudyS.V. Setlur Nagesh, V. Fennel, J. Krebs, C. Ionita, J. Davies, D.R. Bednarek, M. Mokin, A.H. Siddiqui and S. RudinAmerican Journal of Neuroradiology February 2019, 40 (2) 302-308; DOI: https://doi.org/10.3174/ajnr.A5922
Krishnan, K.
- Review ArticleOpen AccessA Review of Magnetic Particle Imaging and Perspectives on NeuroimagingL.C. Wu, Y. Zhang, G. Steinberg, H. Qu, S. Huang, M. Cheng, T. Bliss, F. Du, J. Rao, G. Song, L. Pisani, T. Doyle, S. Conolly, K. Krishnan, G. Grant and M. WintermarkAmerican Journal of Neuroradiology February 2019, 40 (2) 206-212; DOI: https://doi.org/10.3174/ajnr.A5896
Krivochenitser, R.
- Head & NeckOpen AccessContrast-Enhanced 3D-FLAIR Imaging of the Optic Nerve and Optic Nerve Head: Novel Neuroimaging Findings of Idiopathic Intracranial HypertensionE. Golden, R. Krivochenitser, N. Mathews, C. Longhurst, Y. Chen, J.-P.J. Yu and T.A. KennedyAmerican Journal of Neuroradiology February 2019, 40 (2) 334-339; DOI: https://doi.org/10.3174/ajnr.A5937
Kroll, N.J.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAcute Toxic Leukoencephalopathy: Etiologies, Imaging Findings, and Outcomes in 101 PatientsC. Özütemiz, S.K. Roshan, N.J. Kroll, J.C. Benson, J.B. Rykken, M.C. Oswood, L. Zhang and A.M. McKinneyAmerican Journal of Neuroradiology February 2019, 40 (2) 267-275; DOI: https://doi.org/10.3174/ajnr.A5947
Of 101 included patients, the 4 subgroups of >6 were the following: chemotherapy (n = 35), opiates (n = 19), acute hepatic encephalopathy (n = 14), and immunosuppressants (n = 11). Other causes (n = 22 total) notably included carbon monoxide (n = 3) metronidazole (n = 2), and uremia (n = 1). Acute hepatic/hyperammonemic encephalopathy clinically resolved in 36%, with severe outcomes in 23% (coma or death, 9/16 deaths from fludarabine). Notable laboratory results were elevated CSF myelin basic protein levels in 8/9 patients and serum blood urea nitrogen levels in 24/91. Acute toxic leukoencephalopathy is an imaging appearance that can arise from various etiologies, with potentially reversible reduced diffusion predominately affecting the periventricular WM. Given the shared DWI appearance among this heterogeneous array of etiologies, their outcomes may differ. Thus, the neurologic symptoms completely resolved in 36%, while severe outcomes occurred in 23%. The clinical outcome was most severe with chemotherapy-related ATL.
Kuo, M.-F.
- Adult BrainOpen AccessStandardized MR Perfusion Scoring System for Evaluation of Sequential Perfusion Changes and Surgical Outcome of Moyamoya DiseaseY.-H. Lin, M.-F. Kuo, C.-J. Lu, C.-W. Lee, S.-H. Yang, Y.-C. Huang, H.-M. Liu and Y.-F. ChenAmerican Journal of Neuroradiology February 2019, 40 (2) 260-266; DOI: https://doi.org/10.3174/ajnr.A5945
Kuramochi, M.
- Adult BrainOpen AccessEffect of Gadolinium on the Estimation of Myelin and Brain Tissue Volumes Based on Quantitative Synthetic MRIT. Maekawa, A. Hagiwara, M. Hori, C. Andica, T. Haruyama, M. Kuramochi, M. Nakazawa, S. Koshino, R. Irie, K. Kamagata, A. Wada, O. Abe and S. AokiAmerican Journal of Neuroradiology February 2019, 40 (2) 231-237; DOI: https://doi.org/10.3174/ajnr.A5921
L
Laino, M.E.
- FunctionalOpen AccessResting-State Functional Connectivity of the Middle Frontal Gyrus Can Predict Language Lateralization in Patients with Brain TumorsS. Gohel, M.E. Laino, G. Rajeev-Kumar, M. Jenabi, K. Peck, V. Hatzoglou, V. Tabar, A.I. Holodny and B. VachhaAmerican Journal of Neuroradiology February 2019, 40 (2) 319-325; DOI: https://doi.org/10.3174/ajnr.A5932
Larvie, M.
- Adult BrainYou have accessFDG-PET and MRI in the Evolution of New-Onset Refractory Status EpilepticusT. Strohm, C. Steriade, G. Wu, S. Hantus, A. Rae-Grant and M. LarvieAmerican Journal of Neuroradiology February 2019, 40 (2) 238-244; DOI: https://doi.org/10.3174/ajnr.A5929
Lecler, A.
- SpineYou have accessA 3T Phase-Sensitive Inversion Recovery MRI Sequence Improves Detection of Cervical Spinal Cord Lesions and Shows Active Lesions in Patients with Multiple SclerosisA. Fechner, J. Savatovsky, J. El Methni, J.C. Sadik, O. Gout, R. Deschamps, A. Gueguen and A. LeclerAmerican Journal of Neuroradiology February 2019, 40 (2) 370-375; DOI: https://doi.org/10.3174/ajnr.A5941
Lee, C.-W.
- Adult BrainOpen AccessStandardized MR Perfusion Scoring System for Evaluation of Sequential Perfusion Changes and Surgical Outcome of Moyamoya DiseaseY.-H. Lin, M.-F. Kuo, C.-J. Lu, C.-W. Lee, S.-H. Yang, Y.-C. Huang, H.-M. Liu and Y.-F. ChenAmerican Journal of Neuroradiology February 2019, 40 (2) 260-266; DOI: https://doi.org/10.3174/ajnr.A5945
Leone, E.
- PediatricsYou have accessBrain DSC MR Perfusion in Children: A Clinical Feasibility Study Using Different Technical Standards of Contrast AdministrationS. Gaudino, M. Martucci, A. Botto, E. Ruberto, E. Leone, A. Infante, A. Ramaglia, M. Caldarelli, P. Frassanito, F.M. Triulzi and C. ColosimoAmerican Journal of Neuroradiology February 2019, 40 (2) 359-365; DOI: https://doi.org/10.3174/ajnr.A5954
Levy, E.I.
- InterventionalOpen AccessOstium Ratio and Neck Ratio Could Predict the Outcome of Sidewall Intracranial Aneurysms Treated with Flow DivertersN. Paliwal, V.M. Tutino, H. Shallwani, J.S. Beecher, R.J. Damiano, H.J. Shakir, G.S. Atwal, V.S. Fennell, S.K. Natarajan, E.I. Levy, A.H. Siddiqui, J.M. Davies and H. MengAmerican Journal of Neuroradiology February 2019, 40 (2) 288-294; DOI: https://doi.org/10.3174/ajnr.A5953
Li, S.
- Adult BrainYou have accessAlterations in Brain Metabolites in Patients with Epilepsy with Impaired Consciousness: A Case-Control Study of Interictal Multivoxel 1H-MRS FindingsZ. Tan, X. Long, F. Tian, L. Huang, F. Xie and S. LiAmerican Journal of Neuroradiology February 2019, 40 (2) 245-252; DOI: https://doi.org/10.3174/ajnr.A5944
Li, Y.
- Extracranial VascularOpen AccessTransient Ischemic Attack and Carotid WebH. Hu, X. Zhang, J. Zhao, Y. Li and Y. ZhaoAmerican Journal of Neuroradiology February 2019, 40 (2) 313-318; DOI: https://doi.org/10.3174/ajnr.A5946
Lin, Y.-H.
- Adult BrainOpen AccessStandardized MR Perfusion Scoring System for Evaluation of Sequential Perfusion Changes and Surgical Outcome of Moyamoya DiseaseY.-H. Lin, M.-F. Kuo, C.-J. Lu, C.-W. Lee, S.-H. Yang, Y.-C. Huang, H.-M. Liu and Y.-F. ChenAmerican Journal of Neuroradiology February 2019, 40 (2) 260-266; DOI: https://doi.org/10.3174/ajnr.A5945
Lipitz, S.
- PediatricsYou have accessVolumetric MRI Study of the Brain in Fetuses with Intrauterine Cytomegalovirus Infection and Its Correlation to Neurodevelopmental OutcomeA. Grinberg, E. Katorza, D. Hoffman, R. Ber, A. Mayer and S. LipitzAmerican Journal of Neuroradiology February 2019, 40 (2) 353-358; DOI: https://doi.org/10.3174/ajnr.A5948
Liu, H.-M.
- Adult BrainOpen AccessStandardized MR Perfusion Scoring System for Evaluation of Sequential Perfusion Changes and Surgical Outcome of Moyamoya DiseaseY.-H. Lin, M.-F. Kuo, C.-J. Lu, C.-W. Lee, S.-H. Yang, Y.-C. Huang, H.-M. Liu and Y.-F. ChenAmerican Journal of Neuroradiology February 2019, 40 (2) 260-266; DOI: https://doi.org/10.3174/ajnr.A5945
Long, X.
- Adult BrainYou have accessAlterations in Brain Metabolites in Patients with Epilepsy with Impaired Consciousness: A Case-Control Study of Interictal Multivoxel 1H-MRS FindingsZ. Tan, X. Long, F. Tian, L. Huang, F. Xie and S. LiAmerican Journal of Neuroradiology February 2019, 40 (2) 245-252; DOI: https://doi.org/10.3174/ajnr.A5944
Longhurst, C.
- Head & NeckOpen AccessContrast-Enhanced 3D-FLAIR Imaging of the Optic Nerve and Optic Nerve Head: Novel Neuroimaging Findings of Idiopathic Intracranial HypertensionE. Golden, R. Krivochenitser, N. Mathews, C. Longhurst, Y. Chen, J.-P.J. Yu and T.A. KennedyAmerican Journal of Neuroradiology February 2019, 40 (2) 334-339; DOI: https://doi.org/10.3174/ajnr.A5937
Lu, C.-J.
- Adult BrainOpen AccessStandardized MR Perfusion Scoring System for Evaluation of Sequential Perfusion Changes and Surgical Outcome of Moyamoya DiseaseY.-H. Lin, M.-F. Kuo, C.-J. Lu, C.-W. Lee, S.-H. Yang, Y.-C. Huang, H.-M. Liu and Y.-F. ChenAmerican Journal of Neuroradiology February 2019, 40 (2) 260-266; DOI: https://doi.org/10.3174/ajnr.A5945
Luetmer, P.H.
- SpineYou have accessRenal Contrast on CT Myelography: Diagnostic Value in Patients with Spontaneous Intracranial HypotensionK.A. Kinsman, J.T. Verdoorn, P.H. Luetmer, M.S. Clark and F.E. DiehnAmerican Journal of Neuroradiology February 2019, 40 (2) 376-381; DOI: https://doi.org/10.3174/ajnr.A5934
Lynøe, N.
- LETTERYou have accessIs Delayed Speech Development a Long-Term Sequela of Birth-Related Subdural Hematoma?N. Lynøe, D. Olsson and A. ErikssonAmerican Journal of Neuroradiology February 2019, 40 (2) E10; DOI: https://doi.org/10.3174/ajnr.A5890
M
Maekawa, T.
- Adult BrainOpen AccessEffect of Gadolinium on the Estimation of Myelin and Brain Tissue Volumes Based on Quantitative Synthetic MRIT. Maekawa, A. Hagiwara, M. Hori, C. Andica, T. Haruyama, M. Kuramochi, M. Nakazawa, S. Koshino, R. Irie, K. Kamagata, A. Wada, O. Abe and S. AokiAmerican Journal of Neuroradiology February 2019, 40 (2) 231-237; DOI: https://doi.org/10.3174/ajnr.A5921
- EDITOR'S CHOICEAdult BrainOpen AccessImproving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image TranslationA. Hagiwara, Y. Otsuka, M. Hori, Y. Tachibana, K. Yokoyama, S. Fujita, C. Andica, K. Kamagata, R. Irie, S. Koshino, T. Maekawa, L. Chougar, A. Wada, M.Y. Takemura, N. Hattori and S. AokiAmerican Journal of Neuroradiology February 2019, 40 (2) 224-230; DOI: https://doi.org/10.3174/ajnr.A5927
Forty patients with MS were prospectively included and scanned (3T) to acquire synthetic MR imaging and conventional FLAIR images. Synthetic FLAIR images were created with the SyMRI software. Acquired data were divided into 30 training and 10 test datasets. A conditional generative adversarial network was trained to generate improved FLAIR images from raw synthetic MR imaging data using conventional FLAIR images as targets. The peak signal-to-noise ratio, normalized root mean square error, and the Dice index of MS lesion maps were calculated for synthetic and deep learning FLAIR images against conventional FLAIR images, respectively. Lesion conspicuity and the existence of artifacts were visually assessed. The peak signal-to-noise ratio and normalized root mean square error were significantly higher and lower, respectively, in generated-versus-synthetic FLAIR images in aggregate intracranial tissues and all tissue segments. The Dice index of lesion maps and visual lesion conspicuity were comparable between generated and synthetic FLAIR images. Using deep learning, the authors conclude that they improved the synthetic FLAIR image quality by generating FLAIR images that have contrast closer to that of conventional FLAIR images and fewer granular and swelling artifacts, while preserving the lesion contrast.
Maitre, N.L.
- PediatricsOpen AccessMR Imaging Scoring System for White Matter Injury after Deep Medullary Vein Thrombosis and Infarction in NeonatesK.L. Benninger, N.L. Maitre, L. Ruess and J.A. RusinAmerican Journal of Neuroradiology February 2019, 40 (2) 347-352; DOI: https://doi.org/10.3174/ajnr.A5940
Marroun, H.E.
- PediatricsOpen AccessCavum Septum Pellucidum in the General Pediatric Population and Its Relation to Surrounding Brain Structure Volumes, Cognitive Function, and Emotional or Behavioral ProblemsM.H.G. Dremmen, R.H. Bouhuis, L.M.E. Blanken, R.L. Muetzel, M.W. Vernooij, H.E. Marroun, V.W.V. Jaddoe, F.C. Verhulst, H. Tiemeier and T. WhiteAmerican Journal of Neuroradiology February 2019, 40 (2) 340-346; DOI: https://doi.org/10.3174/ajnr.A5939
Martucci, M.
- PediatricsYou have accessBrain DSC MR Perfusion in Children: A Clinical Feasibility Study Using Different Technical Standards of Contrast AdministrationS. Gaudino, M. Martucci, A. Botto, E. Ruberto, E. Leone, A. Infante, A. Ramaglia, M. Caldarelli, P. Frassanito, F.M. Triulzi and C. ColosimoAmerican Journal of Neuroradiology February 2019, 40 (2) 359-365; DOI: https://doi.org/10.3174/ajnr.A5954
Mathews, N.
- Head & NeckOpen AccessContrast-Enhanced 3D-FLAIR Imaging of the Optic Nerve and Optic Nerve Head: Novel Neuroimaging Findings of Idiopathic Intracranial HypertensionE. Golden, R. Krivochenitser, N. Mathews, C. Longhurst, Y. Chen, J.-P.J. Yu and T.A. KennedyAmerican Journal of Neuroradiology February 2019, 40 (2) 334-339; DOI: https://doi.org/10.3174/ajnr.A5937
Mayer, A.
- PediatricsYou have accessVolumetric MRI Study of the Brain in Fetuses with Intrauterine Cytomegalovirus Infection and Its Correlation to Neurodevelopmental OutcomeA. Grinberg, E. Katorza, D. Hoffman, R. Ber, A. Mayer and S. LipitzAmerican Journal of Neuroradiology February 2019, 40 (2) 353-358; DOI: https://doi.org/10.3174/ajnr.A5948
McKinney, A.M.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAcute Toxic Leukoencephalopathy: Etiologies, Imaging Findings, and Outcomes in 101 PatientsC. Özütemiz, S.K. Roshan, N.J. Kroll, J.C. Benson, J.B. Rykken, M.C. Oswood, L. Zhang and A.M. McKinneyAmerican Journal of Neuroradiology February 2019, 40 (2) 267-275; DOI: https://doi.org/10.3174/ajnr.A5947
Of 101 included patients, the 4 subgroups of >6 were the following: chemotherapy (n = 35), opiates (n = 19), acute hepatic encephalopathy (n = 14), and immunosuppressants (n = 11). Other causes (n = 22 total) notably included carbon monoxide (n = 3) metronidazole (n = 2), and uremia (n = 1). Acute hepatic/hyperammonemic encephalopathy clinically resolved in 36%, with severe outcomes in 23% (coma or death, 9/16 deaths from fludarabine). Notable laboratory results were elevated CSF myelin basic protein levels in 8/9 patients and serum blood urea nitrogen levels in 24/91. Acute toxic leukoencephalopathy is an imaging appearance that can arise from various etiologies, with potentially reversible reduced diffusion predominately affecting the periventricular WM. Given the shared DWI appearance among this heterogeneous array of etiologies, their outcomes may differ. Thus, the neurologic symptoms completely resolved in 36%, while severe outcomes occurred in 23%. The clinical outcome was most severe with chemotherapy-related ATL.
Meng, H.
- InterventionalOpen AccessOstium Ratio and Neck Ratio Could Predict the Outcome of Sidewall Intracranial Aneurysms Treated with Flow DivertersN. Paliwal, V.M. Tutino, H. Shallwani, J.S. Beecher, R.J. Damiano, H.J. Shakir, G.S. Atwal, V.S. Fennell, S.K. Natarajan, E.I. Levy, A.H. Siddiqui, J.M. Davies and H. MengAmerican Journal of Neuroradiology February 2019, 40 (2) 288-294; DOI: https://doi.org/10.3174/ajnr.A5953
Möhlenbruch, M.A.
- InterventionalYou have accessClinical Outcome after Thrombectomy in Patients with Stroke with Premorbid Modified Rankin Scale Scores of 3 and 4: A Cohort Study with 136 PatientsF. Seker, J. Pfaff, S. Schönenberger, C. Herweh, S. Nagel, P.A. Ringleb, M. Bendszus and M.A. MöhlenbruchAmerican Journal of Neuroradiology February 2019, 40 (2) 283-286; DOI: https://doi.org/10.3174/ajnr.A5920
Mokin, M.
- InterventionalOpen AccessHigh-Definition Zoom Mode, a High-Resolution X-Ray Microscope for Neurointerventional Treatment Procedures: A Blinded-Rater Clinical-Utility StudyS.V. Setlur Nagesh, V. Fennel, J. Krebs, C. Ionita, J. Davies, D.R. Bednarek, M. Mokin, A.H. Siddiqui and S. RudinAmerican Journal of Neuroradiology February 2019, 40 (2) 302-308; DOI: https://doi.org/10.3174/ajnr.A5922
Moore, J.M.
- InterventionalYou have accessEndothelialization following Flow Diversion for Intracranial Aneurysms: A Systematic ReviewK. Ravindran, M.M. Salem, A.Y. Alturki, A.J. Thomas, C.S. Ogilvy and J.M. MooreAmerican Journal of Neuroradiology February 2019, 40 (2) 295-301; DOI: https://doi.org/10.3174/ajnr.A5955
Muetzel, R.L.
- PediatricsOpen AccessCavum Septum Pellucidum in the General Pediatric Population and Its Relation to Surrounding Brain Structure Volumes, Cognitive Function, and Emotional or Behavioral ProblemsM.H.G. Dremmen, R.H. Bouhuis, L.M.E. Blanken, R.L. Muetzel, M.W. Vernooij, H.E. Marroun, V.W.V. Jaddoe, F.C. Verhulst, H. Tiemeier and T. WhiteAmerican Journal of Neuroradiology February 2019, 40 (2) 340-346; DOI: https://doi.org/10.3174/ajnr.A5939
N
Nagel, S.
- InterventionalYou have accessClinical Outcome after Thrombectomy in Patients with Stroke with Premorbid Modified Rankin Scale Scores of 3 and 4: A Cohort Study with 136 PatientsF. Seker, J. Pfaff, S. Schönenberger, C. Herweh, S. Nagel, P.A. Ringleb, M. Bendszus and M.A. MöhlenbruchAmerican Journal of Neuroradiology February 2019, 40 (2) 283-286; DOI: https://doi.org/10.3174/ajnr.A5920
Nakazawa, M.
- Adult BrainOpen AccessEffect of Gadolinium on the Estimation of Myelin and Brain Tissue Volumes Based on Quantitative Synthetic MRIT. Maekawa, A. Hagiwara, M. Hori, C. Andica, T. Haruyama, M. Kuramochi, M. Nakazawa, S. Koshino, R. Irie, K. Kamagata, A. Wada, O. Abe and S. AokiAmerican Journal of Neuroradiology February 2019, 40 (2) 231-237; DOI: https://doi.org/10.3174/ajnr.A5921
Natarajan, S.K.
- InterventionalOpen AccessOstium Ratio and Neck Ratio Could Predict the Outcome of Sidewall Intracranial Aneurysms Treated with Flow DivertersN. Paliwal, V.M. Tutino, H. Shallwani, J.S. Beecher, R.J. Damiano, H.J. Shakir, G.S. Atwal, V.S. Fennell, S.K. Natarajan, E.I. Levy, A.H. Siddiqui, J.M. Davies and H. MengAmerican Journal of Neuroradiology February 2019, 40 (2) 288-294; DOI: https://doi.org/10.3174/ajnr.A5953
Nicholson, P.J.
- SpineYou have accessSingle-Needle Lateral Sacroplasty TechniqueP.J. Nicholson, C.A. Hilditch, W. Brinjikji, A.C.O. Tsang and R. SmithAmerican Journal of Neuroradiology February 2019, 40 (2) 382-385; DOI: https://doi.org/10.3174/ajnr.A5884
Norbash, A.
- FELLOWS' JOURNAL CLUBPractice PerspectivesYou have accessA Call to Improve the Visibility and Access of the American College of Radiology Practice Parameters in Neuroradiology: A Powerful Value Stream Enhancer for Both Neuroradiologists and PatientsJ.E. Jordan and A. NorbashAmerican Journal of Neuroradiology February 2019, 40 (2) 213-216; DOI: https://doi.org/10.3174/ajnr.A5923
The authors suggest that practitioners gain a high degree of familiarity with accessing practice parameters. Doing so will provide additional reference and access to the practice parameters when medical literature searches are undertaken or when questions arise regarding best practices. Such an approach will ensure that future neuroradiology clinical guidelines or technical standards documents are provided as broad an exposure as possible. This effort could enhance the visibility and accessibility of the quality of practice for neuroradiologists, provide needed clinical guidance to practice state-of-the-art neuroradiology/radiology, and ensure the visibility of our valuable contributions to both individual patient care and collective patient outcomes.
O
Ogilvy, C.S.
- InterventionalYou have accessEndothelialization following Flow Diversion for Intracranial Aneurysms: A Systematic ReviewK. Ravindran, M.M. Salem, A.Y. Alturki, A.J. Thomas, C.S. Ogilvy and J.M. MooreAmerican Journal of Neuroradiology February 2019, 40 (2) 295-301; DOI: https://doi.org/10.3174/ajnr.A5955
Olsson, D.
- LETTERYou have accessIs Delayed Speech Development a Long-Term Sequela of Birth-Related Subdural Hematoma?N. Lynøe, D. Olsson and A. ErikssonAmerican Journal of Neuroradiology February 2019, 40 (2) E10; DOI: https://doi.org/10.3174/ajnr.A5890
Oswood, M.C.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAcute Toxic Leukoencephalopathy: Etiologies, Imaging Findings, and Outcomes in 101 PatientsC. Özütemiz, S.K. Roshan, N.J. Kroll, J.C. Benson, J.B. Rykken, M.C. Oswood, L. Zhang and A.M. McKinneyAmerican Journal of Neuroradiology February 2019, 40 (2) 267-275; DOI: https://doi.org/10.3174/ajnr.A5947
Of 101 included patients, the 4 subgroups of >6 were the following: chemotherapy (n = 35), opiates (n = 19), acute hepatic encephalopathy (n = 14), and immunosuppressants (n = 11). Other causes (n = 22 total) notably included carbon monoxide (n = 3) metronidazole (n = 2), and uremia (n = 1). Acute hepatic/hyperammonemic encephalopathy clinically resolved in 36%, with severe outcomes in 23% (coma or death, 9/16 deaths from fludarabine). Notable laboratory results were elevated CSF myelin basic protein levels in 8/9 patients and serum blood urea nitrogen levels in 24/91. Acute toxic leukoencephalopathy is an imaging appearance that can arise from various etiologies, with potentially reversible reduced diffusion predominately affecting the periventricular WM. Given the shared DWI appearance among this heterogeneous array of etiologies, their outcomes may differ. Thus, the neurologic symptoms completely resolved in 36%, while severe outcomes occurred in 23%. The clinical outcome was most severe with chemotherapy-related ATL.
Otsuka, Y.
- EDITOR'S CHOICEAdult BrainOpen AccessImproving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image TranslationA. Hagiwara, Y. Otsuka, M. Hori, Y. Tachibana, K. Yokoyama, S. Fujita, C. Andica, K. Kamagata, R. Irie, S. Koshino, T. Maekawa, L. Chougar, A. Wada, M.Y. Takemura, N. Hattori and S. AokiAmerican Journal of Neuroradiology February 2019, 40 (2) 224-230; DOI: https://doi.org/10.3174/ajnr.A5927
Forty patients with MS were prospectively included and scanned (3T) to acquire synthetic MR imaging and conventional FLAIR images. Synthetic FLAIR images were created with the SyMRI software. Acquired data were divided into 30 training and 10 test datasets. A conditional generative adversarial network was trained to generate improved FLAIR images from raw synthetic MR imaging data using conventional FLAIR images as targets. The peak signal-to-noise ratio, normalized root mean square error, and the Dice index of MS lesion maps were calculated for synthetic and deep learning FLAIR images against conventional FLAIR images, respectively. Lesion conspicuity and the existence of artifacts were visually assessed. The peak signal-to-noise ratio and normalized root mean square error were significantly higher and lower, respectively, in generated-versus-synthetic FLAIR images in aggregate intracranial tissues and all tissue segments. The Dice index of lesion maps and visual lesion conspicuity were comparable between generated and synthetic FLAIR images. Using deep learning, the authors conclude that they improved the synthetic FLAIR image quality by generating FLAIR images that have contrast closer to that of conventional FLAIR images and fewer granular and swelling artifacts, while preserving the lesion contrast.
Özütemiz, C.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAcute Toxic Leukoencephalopathy: Etiologies, Imaging Findings, and Outcomes in 101 PatientsC. Özütemiz, S.K. Roshan, N.J. Kroll, J.C. Benson, J.B. Rykken, M.C. Oswood, L. Zhang and A.M. McKinneyAmerican Journal of Neuroradiology February 2019, 40 (2) 267-275; DOI: https://doi.org/10.3174/ajnr.A5947
Of 101 included patients, the 4 subgroups of >6 were the following: chemotherapy (n = 35), opiates (n = 19), acute hepatic encephalopathy (n = 14), and immunosuppressants (n = 11). Other causes (n = 22 total) notably included carbon monoxide (n = 3) metronidazole (n = 2), and uremia (n = 1). Acute hepatic/hyperammonemic encephalopathy clinically resolved in 36%, with severe outcomes in 23% (coma or death, 9/16 deaths from fludarabine). Notable laboratory results were elevated CSF myelin basic protein levels in 8/9 patients and serum blood urea nitrogen levels in 24/91. Acute toxic leukoencephalopathy is an imaging appearance that can arise from various etiologies, with potentially reversible reduced diffusion predominately affecting the periventricular WM. Given the shared DWI appearance among this heterogeneous array of etiologies, their outcomes may differ. Thus, the neurologic symptoms completely resolved in 36%, while severe outcomes occurred in 23%. The clinical outcome was most severe with chemotherapy-related ATL.
P
Paliwal, N.
- InterventionalOpen AccessOstium Ratio and Neck Ratio Could Predict the Outcome of Sidewall Intracranial Aneurysms Treated with Flow DivertersN. Paliwal, V.M. Tutino, H. Shallwani, J.S. Beecher, R.J. Damiano, H.J. Shakir, G.S. Atwal, V.S. Fennell, S.K. Natarajan, E.I. Levy, A.H. Siddiqui, J.M. Davies and H. MengAmerican Journal of Neuroradiology February 2019, 40 (2) 288-294; DOI: https://doi.org/10.3174/ajnr.A5953
Patil, U.
- FELLOWS' JOURNAL CLUBAdult BrainYou have accessA Deep Learning–Based Approach to Reduce Rescan and Recall Rates in Clinical MRI ExaminationsA. Sreekumari, D. Shanbhag, D. Yeo, T. Foo, J. Pilitsis, J. Polzin, U. Patil, A. Coblentz, A. Kapadia, J. Khinda, A. Boutet, J. Port and I. HancuAmerican Journal of Neuroradiology February 2019, 40 (2) 217-223; DOI: https://doi.org/10.3174/ajnr.A5926
The purpose of this study was to develop a fast, automated method for assessing rescan need in motion-corrupted brain series. A deep learning–based approach was developed, outputting a probability for a series to be clinically useful. Comparison of this per-series probability with a threshold, which can depend on scan indication and reading radiologist, determines whether a series needs to be rescanned. The deep learning classification performance was compared with that of 4 technologists and 5 radiologists in 49 test series with low and moderate motion artifacts. Fast, automated deep learning–based image-quality rating can decrease rescan and recall rates, while rendering them technologist-independent. It was estimated that decreasing rescans and recalls from the technologists' values to the values of deep learning could save hospitals $24,000/scanner/year.
Peck, K.
- FunctionalOpen AccessResting-State Functional Connectivity of the Middle Frontal Gyrus Can Predict Language Lateralization in Patients with Brain TumorsS. Gohel, M.E. Laino, G. Rajeev-Kumar, M. Jenabi, K. Peck, V. Hatzoglou, V. Tabar, A.I. Holodny and B. VachhaAmerican Journal of Neuroradiology February 2019, 40 (2) 319-325; DOI: https://doi.org/10.3174/ajnr.A5932
Pedersen, R.C.
- LETTERYou have accessReply:V.J. Rooks, L. Ruess, G.W. Peterman and R.C. PedersenAmerican Journal of Neuroradiology February 2019, 40 (2) E11; DOI: https://doi.org/10.3174/ajnr.A5969
Peterman, G.W.
- LETTERYou have accessReply:V.J. Rooks, L. Ruess, G.W. Peterman and R.C. PedersenAmerican Journal of Neuroradiology February 2019, 40 (2) E11; DOI: https://doi.org/10.3174/ajnr.A5969
Pfaff, J.
- InterventionalYou have accessClinical Outcome after Thrombectomy in Patients with Stroke with Premorbid Modified Rankin Scale Scores of 3 and 4: A Cohort Study with 136 PatientsF. Seker, J. Pfaff, S. Schönenberger, C. Herweh, S. Nagel, P.A. Ringleb, M. Bendszus and M.A. MöhlenbruchAmerican Journal of Neuroradiology February 2019, 40 (2) 283-286; DOI: https://doi.org/10.3174/ajnr.A5920
Pfeifer, C.M.
- LETTERYou have accessMaternal-Fetal Medicine Specialists Should Manage Patients Requiring Fetal MRI of the Central Nervous SystemC.M. PfeiferAmerican Journal of Neuroradiology February 2019, 40 (2) E6; DOI: https://doi.org/10.3174/ajnr.A5894
Pilitsis, J.
- FELLOWS' JOURNAL CLUBAdult BrainYou have accessA Deep Learning–Based Approach to Reduce Rescan and Recall Rates in Clinical MRI ExaminationsA. Sreekumari, D. Shanbhag, D. Yeo, T. Foo, J. Pilitsis, J. Polzin, U. Patil, A. Coblentz, A. Kapadia, J. Khinda, A. Boutet, J. Port and I. HancuAmerican Journal of Neuroradiology February 2019, 40 (2) 217-223; DOI: https://doi.org/10.3174/ajnr.A5926
The purpose of this study was to develop a fast, automated method for assessing rescan need in motion-corrupted brain series. A deep learning–based approach was developed, outputting a probability for a series to be clinically useful. Comparison of this per-series probability with a threshold, which can depend on scan indication and reading radiologist, determines whether a series needs to be rescanned. The deep learning classification performance was compared with that of 4 technologists and 5 radiologists in 49 test series with low and moderate motion artifacts. Fast, automated deep learning–based image-quality rating can decrease rescan and recall rates, while rendering them technologist-independent. It was estimated that decreasing rescans and recalls from the technologists' values to the values of deep learning could save hospitals $24,000/scanner/year.
Pisani, L.
- Review ArticleOpen AccessA Review of Magnetic Particle Imaging and Perspectives on NeuroimagingL.C. Wu, Y. Zhang, G. Steinberg, H. Qu, S. Huang, M. Cheng, T. Bliss, F. Du, J. Rao, G. Song, L. Pisani, T. Doyle, S. Conolly, K. Krishnan, G. Grant and M. WintermarkAmerican Journal of Neuroradiology February 2019, 40 (2) 206-212; DOI: https://doi.org/10.3174/ajnr.A5896
Polzin, J.
- FELLOWS' JOURNAL CLUBAdult BrainYou have accessA Deep Learning–Based Approach to Reduce Rescan and Recall Rates in Clinical MRI ExaminationsA. Sreekumari, D. Shanbhag, D. Yeo, T. Foo, J. Pilitsis, J. Polzin, U. Patil, A. Coblentz, A. Kapadia, J. Khinda, A. Boutet, J. Port and I. HancuAmerican Journal of Neuroradiology February 2019, 40 (2) 217-223; DOI: https://doi.org/10.3174/ajnr.A5926
The purpose of this study was to develop a fast, automated method for assessing rescan need in motion-corrupted brain series. A deep learning–based approach was developed, outputting a probability for a series to be clinically useful. Comparison of this per-series probability with a threshold, which can depend on scan indication and reading radiologist, determines whether a series needs to be rescanned. The deep learning classification performance was compared with that of 4 technologists and 5 radiologists in 49 test series with low and moderate motion artifacts. Fast, automated deep learning–based image-quality rating can decrease rescan and recall rates, while rendering them technologist-independent. It was estimated that decreasing rescans and recalls from the technologists' values to the values of deep learning could save hospitals $24,000/scanner/year.
Port, J.
- FELLOWS' JOURNAL CLUBAdult BrainYou have accessA Deep Learning–Based Approach to Reduce Rescan and Recall Rates in Clinical MRI ExaminationsA. Sreekumari, D. Shanbhag, D. Yeo, T. Foo, J. Pilitsis, J. Polzin, U. Patil, A. Coblentz, A. Kapadia, J. Khinda, A. Boutet, J. Port and I. HancuAmerican Journal of Neuroradiology February 2019, 40 (2) 217-223; DOI: https://doi.org/10.3174/ajnr.A5926
The purpose of this study was to develop a fast, automated method for assessing rescan need in motion-corrupted brain series. A deep learning–based approach was developed, outputting a probability for a series to be clinically useful. Comparison of this per-series probability with a threshold, which can depend on scan indication and reading radiologist, determines whether a series needs to be rescanned. The deep learning classification performance was compared with that of 4 technologists and 5 radiologists in 49 test series with low and moderate motion artifacts. Fast, automated deep learning–based image-quality rating can decrease rescan and recall rates, while rendering them technologist-independent. It was estimated that decreasing rescans and recalls from the technologists' values to the values of deep learning could save hospitals $24,000/scanner/year.
Q
Qiao, Z.
- EDITOR'S CHOICEAdult BrainOpen AccessUtility of Dynamic Susceptibility Contrast Perfusion-Weighted MR Imaging and 11C-Methionine PET/CT for Differentiation of Tumor Recurrence from Radiation Injury in Patients with High-Grade GliomasZ. Qiao, X. Zhao, K. Wang, Y. Zhang, D. Fan, T. Yu, H. Shen, Q. Chen and L. AiAmerican Journal of Neuroradiology February 2019, 40 (2) 253-259; DOI: https://doi.org/10.3174/ajnr.A5952
Forty-two patients with high-grade gliomas were enrolled in this study. The final diagnosis was determined by histopathologic analysis or clinical follow-up. PWI and PET parameters were recorded and compared between patients with recurrence and those with radiation injury using Student t tests. Receiver operating characteristic and logistic regression analyses were used to determine the diagnostic performance of each parameter. The final diagnosis was recurrence in 33 patients and radiation injury in 9. PET/CT showed a patient-based sensitivity and specificity of 0.909 and 0.556, respectively, while PWI showed values of 0.667 and 0.778, respectively. The maximum standardized uptake value, mean standardized uptake value, tumor-to-background maximum standardized uptake value, and mean relative CBV were significantly higher for patients with recurrence than for patients with radiation injury. All these parameters showed a significant discriminative power in receiver operating characteristic analysis. Both 11C-methionine PET/CT and PWI are equally accurate in the differentiation of recurrence from radiation injury in patients with high-grade gliomas, and a combination of the 2 modalities could result in increased diagnostic accuracy.
Qu, H.
- Review ArticleOpen AccessA Review of Magnetic Particle Imaging and Perspectives on NeuroimagingL.C. Wu, Y. Zhang, G. Steinberg, H. Qu, S. Huang, M. Cheng, T. Bliss, F. Du, J. Rao, G. Song, L. Pisani, T. Doyle, S. Conolly, K. Krishnan, G. Grant and M. WintermarkAmerican Journal of Neuroradiology February 2019, 40 (2) 206-212; DOI: https://doi.org/10.3174/ajnr.A5896
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Rae-Grant, A.
- Adult BrainYou have accessFDG-PET and MRI in the Evolution of New-Onset Refractory Status EpilepticusT. Strohm, C. Steriade, G. Wu, S. Hantus, A. Rae-Grant and M. LarvieAmerican Journal of Neuroradiology February 2019, 40 (2) 238-244; DOI: https://doi.org/10.3174/ajnr.A5929
Rajagopal, R.
- LETTERYou have accessReply:R. Rajagopal and S. SharmaAmerican Journal of Neuroradiology February 2019, 40 (2) E9; DOI: https://doi.org/10.3174/ajnr.A5965
Rajeev-Kumar, G.
- FunctionalOpen AccessResting-State Functional Connectivity of the Middle Frontal Gyrus Can Predict Language Lateralization in Patients with Brain TumorsS. Gohel, M.E. Laino, G. Rajeev-Kumar, M. Jenabi, K. Peck, V. Hatzoglou, V. Tabar, A.I. Holodny and B. VachhaAmerican Journal of Neuroradiology February 2019, 40 (2) 319-325; DOI: https://doi.org/10.3174/ajnr.A5932
Ramaglia, A.
- PediatricsYou have accessBrain DSC MR Perfusion in Children: A Clinical Feasibility Study Using Different Technical Standards of Contrast AdministrationS. Gaudino, M. Martucci, A. Botto, E. Ruberto, E. Leone, A. Infante, A. Ramaglia, M. Caldarelli, P. Frassanito, F.M. Triulzi and C. ColosimoAmerican Journal of Neuroradiology February 2019, 40 (2) 359-365; DOI: https://doi.org/10.3174/ajnr.A5954
Rao, J.
- Review ArticleOpen AccessA Review of Magnetic Particle Imaging and Perspectives on NeuroimagingL.C. Wu, Y. Zhang, G. Steinberg, H. Qu, S. Huang, M. Cheng, T. Bliss, F. Du, J. Rao, G. Song, L. Pisani, T. Doyle, S. Conolly, K. Krishnan, G. Grant and M. WintermarkAmerican Journal of Neuroradiology February 2019, 40 (2) 206-212; DOI: https://doi.org/10.3174/ajnr.A5896
Ravindran, K.
- InterventionalYou have accessEndothelialization following Flow Diversion for Intracranial Aneurysms: A Systematic ReviewK. Ravindran, M.M. Salem, A.Y. Alturki, A.J. Thomas, C.S. Ogilvy and J.M. MooreAmerican Journal of Neuroradiology February 2019, 40 (2) 295-301; DOI: https://doi.org/10.3174/ajnr.A5955
Ridley, L.J.
- LETTERYou have accessThe “Bovine Aortic Arch”: Time to Rethink the True Origin of the Term?L.J. Ridley, J. Han and H. XiangAmerican Journal of Neuroradiology February 2019, 40 (2) E7-E8; DOI: https://doi.org/10.3174/ajnr.A5924
Ringleb, P.A.
- InterventionalYou have accessClinical Outcome after Thrombectomy in Patients with Stroke with Premorbid Modified Rankin Scale Scores of 3 and 4: A Cohort Study with 136 PatientsF. Seker, J. Pfaff, S. Schönenberger, C. Herweh, S. Nagel, P.A. Ringleb, M. Bendszus and M.A. MöhlenbruchAmerican Journal of Neuroradiology February 2019, 40 (2) 283-286; DOI: https://doi.org/10.3174/ajnr.A5920
Rooks, V.J.
- LETTERYou have accessReply:V.J. Rooks, L. Ruess, G.W. Peterman and R.C. PedersenAmerican Journal of Neuroradiology February 2019, 40 (2) E11; DOI: https://doi.org/10.3174/ajnr.A5969
Roshan, S.K.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAcute Toxic Leukoencephalopathy: Etiologies, Imaging Findings, and Outcomes in 101 PatientsC. Özütemiz, S.K. Roshan, N.J. Kroll, J.C. Benson, J.B. Rykken, M.C. Oswood, L. Zhang and A.M. McKinneyAmerican Journal of Neuroradiology February 2019, 40 (2) 267-275; DOI: https://doi.org/10.3174/ajnr.A5947
Of 101 included patients, the 4 subgroups of >6 were the following: chemotherapy (n = 35), opiates (n = 19), acute hepatic encephalopathy (n = 14), and immunosuppressants (n = 11). Other causes (n = 22 total) notably included carbon monoxide (n = 3) metronidazole (n = 2), and uremia (n = 1). Acute hepatic/hyperammonemic encephalopathy clinically resolved in 36%, with severe outcomes in 23% (coma or death, 9/16 deaths from fludarabine). Notable laboratory results were elevated CSF myelin basic protein levels in 8/9 patients and serum blood urea nitrogen levels in 24/91. Acute toxic leukoencephalopathy is an imaging appearance that can arise from various etiologies, with potentially reversible reduced diffusion predominately affecting the periventricular WM. Given the shared DWI appearance among this heterogeneous array of etiologies, their outcomes may differ. Thus, the neurologic symptoms completely resolved in 36%, while severe outcomes occurred in 23%. The clinical outcome was most severe with chemotherapy-related ATL.
Ruberto, E.
- PediatricsYou have accessBrain DSC MR Perfusion in Children: A Clinical Feasibility Study Using Different Technical Standards of Contrast AdministrationS. Gaudino, M. Martucci, A. Botto, E. Ruberto, E. Leone, A. Infante, A. Ramaglia, M. Caldarelli, P. Frassanito, F.M. Triulzi and C. ColosimoAmerican Journal of Neuroradiology February 2019, 40 (2) 359-365; DOI: https://doi.org/10.3174/ajnr.A5954
Rudin, S.
- InterventionalOpen AccessHigh-Definition Zoom Mode, a High-Resolution X-Ray Microscope for Neurointerventional Treatment Procedures: A Blinded-Rater Clinical-Utility StudyS.V. Setlur Nagesh, V. Fennel, J. Krebs, C. Ionita, J. Davies, D.R. Bednarek, M. Mokin, A.H. Siddiqui and S. RudinAmerican Journal of Neuroradiology February 2019, 40 (2) 302-308; DOI: https://doi.org/10.3174/ajnr.A5922
Ruess, L.
- LETTERYou have accessReply:V.J. Rooks, L. Ruess, G.W. Peterman and R.C. PedersenAmerican Journal of Neuroradiology February 2019, 40 (2) E11; DOI: https://doi.org/10.3174/ajnr.A5969
- PediatricsOpen AccessMR Imaging Scoring System for White Matter Injury after Deep Medullary Vein Thrombosis and Infarction in NeonatesK.L. Benninger, N.L. Maitre, L. Ruess and J.A. RusinAmerican Journal of Neuroradiology February 2019, 40 (2) 347-352; DOI: https://doi.org/10.3174/ajnr.A5940
Rusin, J.A.
- PediatricsOpen AccessMR Imaging Scoring System for White Matter Injury after Deep Medullary Vein Thrombosis and Infarction in NeonatesK.L. Benninger, N.L. Maitre, L. Ruess and J.A. RusinAmerican Journal of Neuroradiology February 2019, 40 (2) 347-352; DOI: https://doi.org/10.3174/ajnr.A5940
Rykken, J.B.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAcute Toxic Leukoencephalopathy: Etiologies, Imaging Findings, and Outcomes in 101 PatientsC. Özütemiz, S.K. Roshan, N.J. Kroll, J.C. Benson, J.B. Rykken, M.C. Oswood, L. Zhang and A.M. McKinneyAmerican Journal of Neuroradiology February 2019, 40 (2) 267-275; DOI: https://doi.org/10.3174/ajnr.A5947
Of 101 included patients, the 4 subgroups of >6 were the following: chemotherapy (n = 35), opiates (n = 19), acute hepatic encephalopathy (n = 14), and immunosuppressants (n = 11). Other causes (n = 22 total) notably included carbon monoxide (n = 3) metronidazole (n = 2), and uremia (n = 1). Acute hepatic/hyperammonemic encephalopathy clinically resolved in 36%, with severe outcomes in 23% (coma or death, 9/16 deaths from fludarabine). Notable laboratory results were elevated CSF myelin basic protein levels in 8/9 patients and serum blood urea nitrogen levels in 24/91. Acute toxic leukoencephalopathy is an imaging appearance that can arise from various etiologies, with potentially reversible reduced diffusion predominately affecting the periventricular WM. Given the shared DWI appearance among this heterogeneous array of etiologies, their outcomes may differ. Thus, the neurologic symptoms completely resolved in 36%, while severe outcomes occurred in 23%. The clinical outcome was most severe with chemotherapy-related ATL.
S
Sadik, J.C.
- SpineYou have accessA 3T Phase-Sensitive Inversion Recovery MRI Sequence Improves Detection of Cervical Spinal Cord Lesions and Shows Active Lesions in Patients with Multiple SclerosisA. Fechner, J. Savatovsky, J. El Methni, J.C. Sadik, O. Gout, R. Deschamps, A. Gueguen and A. LeclerAmerican Journal of Neuroradiology February 2019, 40 (2) 370-375; DOI: https://doi.org/10.3174/ajnr.A5941
Salem, M.M.
- InterventionalYou have accessEndothelialization following Flow Diversion for Intracranial Aneurysms: A Systematic ReviewK. Ravindran, M.M. Salem, A.Y. Alturki, A.J. Thomas, C.S. Ogilvy and J.M. MooreAmerican Journal of Neuroradiology February 2019, 40 (2) 295-301; DOI: https://doi.org/10.3174/ajnr.A5955
Savatovsky, J.
- SpineYou have accessA 3T Phase-Sensitive Inversion Recovery MRI Sequence Improves Detection of Cervical Spinal Cord Lesions and Shows Active Lesions in Patients with Multiple SclerosisA. Fechner, J. Savatovsky, J. El Methni, J.C. Sadik, O. Gout, R. Deschamps, A. Gueguen and A. LeclerAmerican Journal of Neuroradiology February 2019, 40 (2) 370-375; DOI: https://doi.org/10.3174/ajnr.A5941
Schniederjan, M.J.
- PediatricsYou have accessHigh-Grade Gliomas in Children with Neurofibromatosis Type 1: Literature Review and Illustrative CasesC.D. Spyris, R.C. Castellino, M.J. Schniederjan and N. KadomAmerican Journal of Neuroradiology February 2019, 40 (2) 366-369; DOI: https://doi.org/10.3174/ajnr.A5888
Schönenberger, S.
- InterventionalYou have accessClinical Outcome after Thrombectomy in Patients with Stroke with Premorbid Modified Rankin Scale Scores of 3 and 4: A Cohort Study with 136 PatientsF. Seker, J. Pfaff, S. Schönenberger, C. Herweh, S. Nagel, P.A. Ringleb, M. Bendszus and M.A. MöhlenbruchAmerican Journal of Neuroradiology February 2019, 40 (2) 283-286; DOI: https://doi.org/10.3174/ajnr.A5920
Schonfeld, Steven M.
- PerspectivesYou have accessPerspectivesSteven M. SchonfeldAmerican Journal of Neuroradiology February 2019, 40 (2) 205; DOI: https://doi.org/10.3174/ajnr.P0052
Seker, F.
- InterventionalYou have accessClinical Outcome after Thrombectomy in Patients with Stroke with Premorbid Modified Rankin Scale Scores of 3 and 4: A Cohort Study with 136 PatientsF. Seker, J. Pfaff, S. Schönenberger, C. Herweh, S. Nagel, P.A. Ringleb, M. Bendszus and M.A. MöhlenbruchAmerican Journal of Neuroradiology February 2019, 40 (2) 283-286; DOI: https://doi.org/10.3174/ajnr.A5920
Setlur Nagesh, S.V.
- InterventionalOpen AccessHigh-Definition Zoom Mode, a High-Resolution X-Ray Microscope for Neurointerventional Treatment Procedures: A Blinded-Rater Clinical-Utility StudyS.V. Setlur Nagesh, V. Fennel, J. Krebs, C. Ionita, J. Davies, D.R. Bednarek, M. Mokin, A.H. Siddiqui and S. RudinAmerican Journal of Neuroradiology February 2019, 40 (2) 302-308; DOI: https://doi.org/10.3174/ajnr.A5922
Shakir, H.J.
- InterventionalOpen AccessOstium Ratio and Neck Ratio Could Predict the Outcome of Sidewall Intracranial Aneurysms Treated with Flow DivertersN. Paliwal, V.M. Tutino, H. Shallwani, J.S. Beecher, R.J. Damiano, H.J. Shakir, G.S. Atwal, V.S. Fennell, S.K. Natarajan, E.I. Levy, A.H. Siddiqui, J.M. Davies and H. MengAmerican Journal of Neuroradiology February 2019, 40 (2) 288-294; DOI: https://doi.org/10.3174/ajnr.A5953
Shallwani, H.
- InterventionalOpen AccessOstium Ratio and Neck Ratio Could Predict the Outcome of Sidewall Intracranial Aneurysms Treated with Flow DivertersN. Paliwal, V.M. Tutino, H. Shallwani, J.S. Beecher, R.J. Damiano, H.J. Shakir, G.S. Atwal, V.S. Fennell, S.K. Natarajan, E.I. Levy, A.H. Siddiqui, J.M. Davies and H. MengAmerican Journal of Neuroradiology February 2019, 40 (2) 288-294; DOI: https://doi.org/10.3174/ajnr.A5953
Shanbhag, D.
- FELLOWS' JOURNAL CLUBAdult BrainYou have accessA Deep Learning–Based Approach to Reduce Rescan and Recall Rates in Clinical MRI ExaminationsA. Sreekumari, D. Shanbhag, D. Yeo, T. Foo, J. Pilitsis, J. Polzin, U. Patil, A. Coblentz, A. Kapadia, J. Khinda, A. Boutet, J. Port and I. HancuAmerican Journal of Neuroradiology February 2019, 40 (2) 217-223; DOI: https://doi.org/10.3174/ajnr.A5926
The purpose of this study was to develop a fast, automated method for assessing rescan need in motion-corrupted brain series. A deep learning–based approach was developed, outputting a probability for a series to be clinically useful. Comparison of this per-series probability with a threshold, which can depend on scan indication and reading radiologist, determines whether a series needs to be rescanned. The deep learning classification performance was compared with that of 4 technologists and 5 radiologists in 49 test series with low and moderate motion artifacts. Fast, automated deep learning–based image-quality rating can decrease rescan and recall rates, while rendering them technologist-independent. It was estimated that decreasing rescans and recalls from the technologists' values to the values of deep learning could save hospitals $24,000/scanner/year.
Sharma, S.
- LETTERYou have accessReply:R. Rajagopal and S. SharmaAmerican Journal of Neuroradiology February 2019, 40 (2) E9; DOI: https://doi.org/10.3174/ajnr.A5965
Shen, H.
- EDITOR'S CHOICEAdult BrainOpen AccessUtility of Dynamic Susceptibility Contrast Perfusion-Weighted MR Imaging and 11C-Methionine PET/CT for Differentiation of Tumor Recurrence from Radiation Injury in Patients with High-Grade GliomasZ. Qiao, X. Zhao, K. Wang, Y. Zhang, D. Fan, T. Yu, H. Shen, Q. Chen and L. AiAmerican Journal of Neuroradiology February 2019, 40 (2) 253-259; DOI: https://doi.org/10.3174/ajnr.A5952
Forty-two patients with high-grade gliomas were enrolled in this study. The final diagnosis was determined by histopathologic analysis or clinical follow-up. PWI and PET parameters were recorded and compared between patients with recurrence and those with radiation injury using Student t tests. Receiver operating characteristic and logistic regression analyses were used to determine the diagnostic performance of each parameter. The final diagnosis was recurrence in 33 patients and radiation injury in 9. PET/CT showed a patient-based sensitivity and specificity of 0.909 and 0.556, respectively, while PWI showed values of 0.667 and 0.778, respectively. The maximum standardized uptake value, mean standardized uptake value, tumor-to-background maximum standardized uptake value, and mean relative CBV were significantly higher for patients with recurrence than for patients with radiation injury. All these parameters showed a significant discriminative power in receiver operating characteristic analysis. Both 11C-methionine PET/CT and PWI are equally accurate in the differentiation of recurrence from radiation injury in patients with high-grade gliomas, and a combination of the 2 modalities could result in increased diagnostic accuracy.
Siddiqui, A.H.
- InterventionalOpen AccessHigh-Definition Zoom Mode, a High-Resolution X-Ray Microscope for Neurointerventional Treatment Procedures: A Blinded-Rater Clinical-Utility StudyS.V. Setlur Nagesh, V. Fennel, J. Krebs, C. Ionita, J. Davies, D.R. Bednarek, M. Mokin, A.H. Siddiqui and S. RudinAmerican Journal of Neuroradiology February 2019, 40 (2) 302-308; DOI: https://doi.org/10.3174/ajnr.A5922
- InterventionalOpen AccessOstium Ratio and Neck Ratio Could Predict the Outcome of Sidewall Intracranial Aneurysms Treated with Flow DivertersN. Paliwal, V.M. Tutino, H. Shallwani, J.S. Beecher, R.J. Damiano, H.J. Shakir, G.S. Atwal, V.S. Fennell, S.K. Natarajan, E.I. Levy, A.H. Siddiqui, J.M. Davies and H. MengAmerican Journal of Neuroradiology February 2019, 40 (2) 288-294; DOI: https://doi.org/10.3174/ajnr.A5953
Smith, R.
- SpineYou have accessSingle-Needle Lateral Sacroplasty TechniqueP.J. Nicholson, C.A. Hilditch, W. Brinjikji, A.C.O. Tsang and R. SmithAmerican Journal of Neuroradiology February 2019, 40 (2) 382-385; DOI: https://doi.org/10.3174/ajnr.A5884
Song, G.
- Review ArticleOpen AccessA Review of Magnetic Particle Imaging and Perspectives on NeuroimagingL.C. Wu, Y. Zhang, G. Steinberg, H. Qu, S. Huang, M. Cheng, T. Bliss, F. Du, J. Rao, G. Song, L. Pisani, T. Doyle, S. Conolly, K. Krishnan, G. Grant and M. WintermarkAmerican Journal of Neuroradiology February 2019, 40 (2) 206-212; DOI: https://doi.org/10.3174/ajnr.A5896
Spyris, C.D.
- PediatricsYou have accessHigh-Grade Gliomas in Children with Neurofibromatosis Type 1: Literature Review and Illustrative CasesC.D. Spyris, R.C. Castellino, M.J. Schniederjan and N. KadomAmerican Journal of Neuroradiology February 2019, 40 (2) 366-369; DOI: https://doi.org/10.3174/ajnr.A5888
Sreekumari, A.
- FELLOWS' JOURNAL CLUBAdult BrainYou have accessA Deep Learning–Based Approach to Reduce Rescan and Recall Rates in Clinical MRI ExaminationsA. Sreekumari, D. Shanbhag, D. Yeo, T. Foo, J. Pilitsis, J. Polzin, U. Patil, A. Coblentz, A. Kapadia, J. Khinda, A. Boutet, J. Port and I. HancuAmerican Journal of Neuroradiology February 2019, 40 (2) 217-223; DOI: https://doi.org/10.3174/ajnr.A5926
The purpose of this study was to develop a fast, automated method for assessing rescan need in motion-corrupted brain series. A deep learning–based approach was developed, outputting a probability for a series to be clinically useful. Comparison of this per-series probability with a threshold, which can depend on scan indication and reading radiologist, determines whether a series needs to be rescanned. The deep learning classification performance was compared with that of 4 technologists and 5 radiologists in 49 test series with low and moderate motion artifacts. Fast, automated deep learning–based image-quality rating can decrease rescan and recall rates, while rendering them technologist-independent. It was estimated that decreasing rescans and recalls from the technologists' values to the values of deep learning could save hospitals $24,000/scanner/year.
Steinberg, G.
- Review ArticleOpen AccessA Review of Magnetic Particle Imaging and Perspectives on NeuroimagingL.C. Wu, Y. Zhang, G. Steinberg, H. Qu, S. Huang, M. Cheng, T. Bliss, F. Du, J. Rao, G. Song, L. Pisani, T. Doyle, S. Conolly, K. Krishnan, G. Grant and M. WintermarkAmerican Journal of Neuroradiology February 2019, 40 (2) 206-212; DOI: https://doi.org/10.3174/ajnr.A5896
Steriade, C.
- Adult BrainYou have accessFDG-PET and MRI in the Evolution of New-Onset Refractory Status EpilepticusT. Strohm, C. Steriade, G. Wu, S. Hantus, A. Rae-Grant and M. LarvieAmerican Journal of Neuroradiology February 2019, 40 (2) 238-244; DOI: https://doi.org/10.3174/ajnr.A5929
Strohm, T.
- Adult BrainYou have accessFDG-PET and MRI in the Evolution of New-Onset Refractory Status EpilepticusT. Strohm, C. Steriade, G. Wu, S. Hantus, A. Rae-Grant and M. LarvieAmerican Journal of Neuroradiology February 2019, 40 (2) 238-244; DOI: https://doi.org/10.3174/ajnr.A5929
T
Tabar, V.
- FunctionalOpen AccessResting-State Functional Connectivity of the Middle Frontal Gyrus Can Predict Language Lateralization in Patients with Brain TumorsS. Gohel, M.E. Laino, G. Rajeev-Kumar, M. Jenabi, K. Peck, V. Hatzoglou, V. Tabar, A.I. Holodny and B. VachhaAmerican Journal of Neuroradiology February 2019, 40 (2) 319-325; DOI: https://doi.org/10.3174/ajnr.A5932
Tachibana, Y.
- EDITOR'S CHOICEAdult BrainOpen AccessImproving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image TranslationA. Hagiwara, Y. Otsuka, M. Hori, Y. Tachibana, K. Yokoyama, S. Fujita, C. Andica, K. Kamagata, R. Irie, S. Koshino, T. Maekawa, L. Chougar, A. Wada, M.Y. Takemura, N. Hattori and S. AokiAmerican Journal of Neuroradiology February 2019, 40 (2) 224-230; DOI: https://doi.org/10.3174/ajnr.A5927
Forty patients with MS were prospectively included and scanned (3T) to acquire synthetic MR imaging and conventional FLAIR images. Synthetic FLAIR images were created with the SyMRI software. Acquired data were divided into 30 training and 10 test datasets. A conditional generative adversarial network was trained to generate improved FLAIR images from raw synthetic MR imaging data using conventional FLAIR images as targets. The peak signal-to-noise ratio, normalized root mean square error, and the Dice index of MS lesion maps were calculated for synthetic and deep learning FLAIR images against conventional FLAIR images, respectively. Lesion conspicuity and the existence of artifacts were visually assessed. The peak signal-to-noise ratio and normalized root mean square error were significantly higher and lower, respectively, in generated-versus-synthetic FLAIR images in aggregate intracranial tissues and all tissue segments. The Dice index of lesion maps and visual lesion conspicuity were comparable between generated and synthetic FLAIR images. Using deep learning, the authors conclude that they improved the synthetic FLAIR image quality by generating FLAIR images that have contrast closer to that of conventional FLAIR images and fewer granular and swelling artifacts, while preserving the lesion contrast.
Takemura, M.Y.
- EDITOR'S CHOICEAdult BrainOpen AccessImproving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image TranslationA. Hagiwara, Y. Otsuka, M. Hori, Y. Tachibana, K. Yokoyama, S. Fujita, C. Andica, K. Kamagata, R. Irie, S. Koshino, T. Maekawa, L. Chougar, A. Wada, M.Y. Takemura, N. Hattori and S. AokiAmerican Journal of Neuroradiology February 2019, 40 (2) 224-230; DOI: https://doi.org/10.3174/ajnr.A5927
Forty patients with MS were prospectively included and scanned (3T) to acquire synthetic MR imaging and conventional FLAIR images. Synthetic FLAIR images were created with the SyMRI software. Acquired data were divided into 30 training and 10 test datasets. A conditional generative adversarial network was trained to generate improved FLAIR images from raw synthetic MR imaging data using conventional FLAIR images as targets. The peak signal-to-noise ratio, normalized root mean square error, and the Dice index of MS lesion maps were calculated for synthetic and deep learning FLAIR images against conventional FLAIR images, respectively. Lesion conspicuity and the existence of artifacts were visually assessed. The peak signal-to-noise ratio and normalized root mean square error were significantly higher and lower, respectively, in generated-versus-synthetic FLAIR images in aggregate intracranial tissues and all tissue segments. The Dice index of lesion maps and visual lesion conspicuity were comparable between generated and synthetic FLAIR images. Using deep learning, the authors conclude that they improved the synthetic FLAIR image quality by generating FLAIR images that have contrast closer to that of conventional FLAIR images and fewer granular and swelling artifacts, while preserving the lesion contrast.
Tan, Z.
- Adult BrainYou have accessAlterations in Brain Metabolites in Patients with Epilepsy with Impaired Consciousness: A Case-Control Study of Interictal Multivoxel 1H-MRS FindingsZ. Tan, X. Long, F. Tian, L. Huang, F. Xie and S. LiAmerican Journal of Neuroradiology February 2019, 40 (2) 245-252; DOI: https://doi.org/10.3174/ajnr.A5944
Thomas, A.J.
- InterventionalYou have accessEndothelialization following Flow Diversion for Intracranial Aneurysms: A Systematic ReviewK. Ravindran, M.M. Salem, A.Y. Alturki, A.J. Thomas, C.S. Ogilvy and J.M. MooreAmerican Journal of Neuroradiology February 2019, 40 (2) 295-301; DOI: https://doi.org/10.3174/ajnr.A5955
Tian, F.
- Adult BrainYou have accessAlterations in Brain Metabolites in Patients with Epilepsy with Impaired Consciousness: A Case-Control Study of Interictal Multivoxel 1H-MRS FindingsZ. Tan, X. Long, F. Tian, L. Huang, F. Xie and S. LiAmerican Journal of Neuroradiology February 2019, 40 (2) 245-252; DOI: https://doi.org/10.3174/ajnr.A5944
Tiemeier, H.
- PediatricsOpen AccessCavum Septum Pellucidum in the General Pediatric Population and Its Relation to Surrounding Brain Structure Volumes, Cognitive Function, and Emotional or Behavioral ProblemsM.H.G. Dremmen, R.H. Bouhuis, L.M.E. Blanken, R.L. Muetzel, M.W. Vernooij, H.E. Marroun, V.W.V. Jaddoe, F.C. Verhulst, H. Tiemeier and T. WhiteAmerican Journal of Neuroradiology February 2019, 40 (2) 340-346; DOI: https://doi.org/10.3174/ajnr.A5939
Tomasian, A.
- InterventionalYou have accessPercutaneous CT-Guided Skull Biopsy: Feasibility, Safety, and Diagnostic YieldA. Tomasian, T.J. Hillen and J.W. JenningsAmerican Journal of Neuroradiology February 2019, 40 (2) 309-312; DOI: https://doi.org/10.3174/ajnr.A5949
Triulzi, F.M.
- PediatricsYou have accessBrain DSC MR Perfusion in Children: A Clinical Feasibility Study Using Different Technical Standards of Contrast AdministrationS. Gaudino, M. Martucci, A. Botto, E. Ruberto, E. Leone, A. Infante, A. Ramaglia, M. Caldarelli, P. Frassanito, F.M. Triulzi and C. ColosimoAmerican Journal of Neuroradiology February 2019, 40 (2) 359-365; DOI: https://doi.org/10.3174/ajnr.A5954
Tsang, A.C.O.
- SpineYou have accessSingle-Needle Lateral Sacroplasty TechniqueP.J. Nicholson, C.A. Hilditch, W. Brinjikji, A.C.O. Tsang and R. SmithAmerican Journal of Neuroradiology February 2019, 40 (2) 382-385; DOI: https://doi.org/10.3174/ajnr.A5884
Tu, N.
- EDITOR'S CHOICEHead & NeckOpen AccessTreatment Response Prediction of Nasopharyngeal Carcinoma Based on Histogram Analysis of Diffusional Kurtosis ImagingN. Tu, Y. Zhong, X. Wang, F. Xing, L. Chen and G. WuAmerican Journal of Neuroradiology February 2019, 40 (2) 326-333; DOI: https://doi.org/10.3174/ajnr.A5925
Thirty-six patients with an initial diagnosis of locoregionally advanced nasopharyngeal carcinoma and diffusional kurtosis imaging acquisitions before and after neoadjuvant chemotherapy were enrolled. Patients were divided into respond-versus-nonrespond groups after neoadjuvant chemotherapy and residual-versus-nonresidual groups after radiation therapy. Receiver operating characteristic analysis indicated that setting pre-D50th = 0.875 x 10-3 mm2/s as the cutoff value could result in optimal diagnostic performance for neoadjuvant chemotherapy response prediction (area under the curve = 0.814, sensitivity = 0.70, specificity = 0.92), while the post-K90th = 1.035 (area under the curve = 0.829, sensitivity = 0.78, specificity = 0.72) was optimal for radiation therapy response prediction. Histogram analysis of diffusional kurtosis imaging may potentially predict the neoadjuvant chemotherapy and short-term radiation therapy response in locoregionally advanced nasopharyngeal carcinoma.
Tutino, V.M.
- InterventionalOpen AccessOstium Ratio and Neck Ratio Could Predict the Outcome of Sidewall Intracranial Aneurysms Treated with Flow DivertersN. Paliwal, V.M. Tutino, H. Shallwani, J.S. Beecher, R.J. Damiano, H.J. Shakir, G.S. Atwal, V.S. Fennell, S.K. Natarajan, E.I. Levy, A.H. Siddiqui, J.M. Davies and H. MengAmerican Journal of Neuroradiology February 2019, 40 (2) 288-294; DOI: https://doi.org/10.3174/ajnr.A5953
V
Vachha, B.
- FunctionalOpen AccessResting-State Functional Connectivity of the Middle Frontal Gyrus Can Predict Language Lateralization in Patients with Brain TumorsS. Gohel, M.E. Laino, G. Rajeev-Kumar, M. Jenabi, K. Peck, V. Hatzoglou, V. Tabar, A.I. Holodny and B. VachhaAmerican Journal of Neuroradiology February 2019, 40 (2) 319-325; DOI: https://doi.org/10.3174/ajnr.A5932
Verdoorn, J.T.
- SpineYou have accessRenal Contrast on CT Myelography: Diagnostic Value in Patients with Spontaneous Intracranial HypotensionK.A. Kinsman, J.T. Verdoorn, P.H. Luetmer, M.S. Clark and F.E. DiehnAmerican Journal of Neuroradiology February 2019, 40 (2) 376-381; DOI: https://doi.org/10.3174/ajnr.A5934
Verhulst, F.C.
- PediatricsOpen AccessCavum Septum Pellucidum in the General Pediatric Population and Its Relation to Surrounding Brain Structure Volumes, Cognitive Function, and Emotional or Behavioral ProblemsM.H.G. Dremmen, R.H. Bouhuis, L.M.E. Blanken, R.L. Muetzel, M.W. Vernooij, H.E. Marroun, V.W.V. Jaddoe, F.C. Verhulst, H. Tiemeier and T. WhiteAmerican Journal of Neuroradiology February 2019, 40 (2) 340-346; DOI: https://doi.org/10.3174/ajnr.A5939
Vernooij, M.W.
- PediatricsOpen AccessCavum Septum Pellucidum in the General Pediatric Population and Its Relation to Surrounding Brain Structure Volumes, Cognitive Function, and Emotional or Behavioral ProblemsM.H.G. Dremmen, R.H. Bouhuis, L.M.E. Blanken, R.L. Muetzel, M.W. Vernooij, H.E. Marroun, V.W.V. Jaddoe, F.C. Verhulst, H. Tiemeier and T. WhiteAmerican Journal of Neuroradiology February 2019, 40 (2) 340-346; DOI: https://doi.org/10.3174/ajnr.A5939
W
Wada, A.
- Adult BrainOpen AccessEffect of Gadolinium on the Estimation of Myelin and Brain Tissue Volumes Based on Quantitative Synthetic MRIT. Maekawa, A. Hagiwara, M. Hori, C. Andica, T. Haruyama, M. Kuramochi, M. Nakazawa, S. Koshino, R. Irie, K. Kamagata, A. Wada, O. Abe and S. AokiAmerican Journal of Neuroradiology February 2019, 40 (2) 231-237; DOI: https://doi.org/10.3174/ajnr.A5921
- EDITOR'S CHOICEAdult BrainOpen AccessImproving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image TranslationA. Hagiwara, Y. Otsuka, M. Hori, Y. Tachibana, K. Yokoyama, S. Fujita, C. Andica, K. Kamagata, R. Irie, S. Koshino, T. Maekawa, L. Chougar, A. Wada, M.Y. Takemura, N. Hattori and S. AokiAmerican Journal of Neuroradiology February 2019, 40 (2) 224-230; DOI: https://doi.org/10.3174/ajnr.A5927
Forty patients with MS were prospectively included and scanned (3T) to acquire synthetic MR imaging and conventional FLAIR images. Synthetic FLAIR images were created with the SyMRI software. Acquired data were divided into 30 training and 10 test datasets. A conditional generative adversarial network was trained to generate improved FLAIR images from raw synthetic MR imaging data using conventional FLAIR images as targets. The peak signal-to-noise ratio, normalized root mean square error, and the Dice index of MS lesion maps were calculated for synthetic and deep learning FLAIR images against conventional FLAIR images, respectively. Lesion conspicuity and the existence of artifacts were visually assessed. The peak signal-to-noise ratio and normalized root mean square error were significantly higher and lower, respectively, in generated-versus-synthetic FLAIR images in aggregate intracranial tissues and all tissue segments. The Dice index of lesion maps and visual lesion conspicuity were comparable between generated and synthetic FLAIR images. Using deep learning, the authors conclude that they improved the synthetic FLAIR image quality by generating FLAIR images that have contrast closer to that of conventional FLAIR images and fewer granular and swelling artifacts, while preserving the lesion contrast.
Wang, K.
- EDITOR'S CHOICEAdult BrainOpen AccessUtility of Dynamic Susceptibility Contrast Perfusion-Weighted MR Imaging and 11C-Methionine PET/CT for Differentiation of Tumor Recurrence from Radiation Injury in Patients with High-Grade GliomasZ. Qiao, X. Zhao, K. Wang, Y. Zhang, D. Fan, T. Yu, H. Shen, Q. Chen and L. AiAmerican Journal of Neuroradiology February 2019, 40 (2) 253-259; DOI: https://doi.org/10.3174/ajnr.A5952
Forty-two patients with high-grade gliomas were enrolled in this study. The final diagnosis was determined by histopathologic analysis or clinical follow-up. PWI and PET parameters were recorded and compared between patients with recurrence and those with radiation injury using Student t tests. Receiver operating characteristic and logistic regression analyses were used to determine the diagnostic performance of each parameter. The final diagnosis was recurrence in 33 patients and radiation injury in 9. PET/CT showed a patient-based sensitivity and specificity of 0.909 and 0.556, respectively, while PWI showed values of 0.667 and 0.778, respectively. The maximum standardized uptake value, mean standardized uptake value, tumor-to-background maximum standardized uptake value, and mean relative CBV were significantly higher for patients with recurrence than for patients with radiation injury. All these parameters showed a significant discriminative power in receiver operating characteristic analysis. Both 11C-methionine PET/CT and PWI are equally accurate in the differentiation of recurrence from radiation injury in patients with high-grade gliomas, and a combination of the 2 modalities could result in increased diagnostic accuracy.
Wang, X.
- EDITOR'S CHOICEHead & NeckOpen AccessTreatment Response Prediction of Nasopharyngeal Carcinoma Based on Histogram Analysis of Diffusional Kurtosis ImagingN. Tu, Y. Zhong, X. Wang, F. Xing, L. Chen and G. WuAmerican Journal of Neuroradiology February 2019, 40 (2) 326-333; DOI: https://doi.org/10.3174/ajnr.A5925
Thirty-six patients with an initial diagnosis of locoregionally advanced nasopharyngeal carcinoma and diffusional kurtosis imaging acquisitions before and after neoadjuvant chemotherapy were enrolled. Patients were divided into respond-versus-nonrespond groups after neoadjuvant chemotherapy and residual-versus-nonresidual groups after radiation therapy. Receiver operating characteristic analysis indicated that setting pre-D50th = 0.875 x 10-3 mm2/s as the cutoff value could result in optimal diagnostic performance for neoadjuvant chemotherapy response prediction (area under the curve = 0.814, sensitivity = 0.70, specificity = 0.92), while the post-K90th = 1.035 (area under the curve = 0.829, sensitivity = 0.78, specificity = 0.72) was optimal for radiation therapy response prediction. Histogram analysis of diffusional kurtosis imaging may potentially predict the neoadjuvant chemotherapy and short-term radiation therapy response in locoregionally advanced nasopharyngeal carcinoma.
White, T.
- PediatricsOpen AccessCavum Septum Pellucidum in the General Pediatric Population and Its Relation to Surrounding Brain Structure Volumes, Cognitive Function, and Emotional or Behavioral ProblemsM.H.G. Dremmen, R.H. Bouhuis, L.M.E. Blanken, R.L. Muetzel, M.W. Vernooij, H.E. Marroun, V.W.V. Jaddoe, F.C. Verhulst, H. Tiemeier and T. WhiteAmerican Journal of Neuroradiology February 2019, 40 (2) 340-346; DOI: https://doi.org/10.3174/ajnr.A5939
Wintermark, M.
- Review ArticleOpen AccessA Review of Magnetic Particle Imaging and Perspectives on NeuroimagingL.C. Wu, Y. Zhang, G. Steinberg, H. Qu, S. Huang, M. Cheng, T. Bliss, F. Du, J. Rao, G. Song, L. Pisani, T. Doyle, S. Conolly, K. Krishnan, G. Grant and M. WintermarkAmerican Journal of Neuroradiology February 2019, 40 (2) 206-212; DOI: https://doi.org/10.3174/ajnr.A5896
Wu, G.
- Adult BrainYou have accessFDG-PET and MRI in the Evolution of New-Onset Refractory Status EpilepticusT. Strohm, C. Steriade, G. Wu, S. Hantus, A. Rae-Grant and M. LarvieAmerican Journal of Neuroradiology February 2019, 40 (2) 238-244; DOI: https://doi.org/10.3174/ajnr.A5929
- EDITOR'S CHOICEHead & NeckOpen AccessTreatment Response Prediction of Nasopharyngeal Carcinoma Based on Histogram Analysis of Diffusional Kurtosis ImagingN. Tu, Y. Zhong, X. Wang, F. Xing, L. Chen and G. WuAmerican Journal of Neuroradiology February 2019, 40 (2) 326-333; DOI: https://doi.org/10.3174/ajnr.A5925
Thirty-six patients with an initial diagnosis of locoregionally advanced nasopharyngeal carcinoma and diffusional kurtosis imaging acquisitions before and after neoadjuvant chemotherapy were enrolled. Patients were divided into respond-versus-nonrespond groups after neoadjuvant chemotherapy and residual-versus-nonresidual groups after radiation therapy. Receiver operating characteristic analysis indicated that setting pre-D50th = 0.875 x 10-3 mm2/s as the cutoff value could result in optimal diagnostic performance for neoadjuvant chemotherapy response prediction (area under the curve = 0.814, sensitivity = 0.70, specificity = 0.92), while the post-K90th = 1.035 (area under the curve = 0.829, sensitivity = 0.78, specificity = 0.72) was optimal for radiation therapy response prediction. Histogram analysis of diffusional kurtosis imaging may potentially predict the neoadjuvant chemotherapy and short-term radiation therapy response in locoregionally advanced nasopharyngeal carcinoma.
Wu, L.C.
- Review ArticleOpen AccessA Review of Magnetic Particle Imaging and Perspectives on NeuroimagingL.C. Wu, Y. Zhang, G. Steinberg, H. Qu, S. Huang, M. Cheng, T. Bliss, F. Du, J. Rao, G. Song, L. Pisani, T. Doyle, S. Conolly, K. Krishnan, G. Grant and M. WintermarkAmerican Journal of Neuroradiology February 2019, 40 (2) 206-212; DOI: https://doi.org/10.3174/ajnr.A5896
X
Xiang, H.
- LETTERYou have accessThe “Bovine Aortic Arch”: Time to Rethink the True Origin of the Term?L.J. Ridley, J. Han and H. XiangAmerican Journal of Neuroradiology February 2019, 40 (2) E7-E8; DOI: https://doi.org/10.3174/ajnr.A5924
Xie, F.
- Adult BrainYou have accessAlterations in Brain Metabolites in Patients with Epilepsy with Impaired Consciousness: A Case-Control Study of Interictal Multivoxel 1H-MRS FindingsZ. Tan, X. Long, F. Tian, L. Huang, F. Xie and S. LiAmerican Journal of Neuroradiology February 2019, 40 (2) 245-252; DOI: https://doi.org/10.3174/ajnr.A5944
Xing, F.
- EDITOR'S CHOICEHead & NeckOpen AccessTreatment Response Prediction of Nasopharyngeal Carcinoma Based on Histogram Analysis of Diffusional Kurtosis ImagingN. Tu, Y. Zhong, X. Wang, F. Xing, L. Chen and G. WuAmerican Journal of Neuroradiology February 2019, 40 (2) 326-333; DOI: https://doi.org/10.3174/ajnr.A5925
Thirty-six patients with an initial diagnosis of locoregionally advanced nasopharyngeal carcinoma and diffusional kurtosis imaging acquisitions before and after neoadjuvant chemotherapy were enrolled. Patients were divided into respond-versus-nonrespond groups after neoadjuvant chemotherapy and residual-versus-nonresidual groups after radiation therapy. Receiver operating characteristic analysis indicated that setting pre-D50th = 0.875 x 10-3 mm2/s as the cutoff value could result in optimal diagnostic performance for neoadjuvant chemotherapy response prediction (area under the curve = 0.814, sensitivity = 0.70, specificity = 0.92), while the post-K90th = 1.035 (area under the curve = 0.829, sensitivity = 0.78, specificity = 0.72) was optimal for radiation therapy response prediction. Histogram analysis of diffusional kurtosis imaging may potentially predict the neoadjuvant chemotherapy and short-term radiation therapy response in locoregionally advanced nasopharyngeal carcinoma.
Y
Yan, B.
- InterventionalYou have accessSelection of Patients with Stroke for Thrombectomy Must Be Judicious and Should Not Be Offered to Any Patient with Large-Vessel Occlusion with a Femoral PulseB. YanAmerican Journal of Neuroradiology February 2019, 40 (2) 287; DOI: https://doi.org/10.3174/ajnr.A5928
Yang, S.-H.
- Adult BrainOpen AccessStandardized MR Perfusion Scoring System for Evaluation of Sequential Perfusion Changes and Surgical Outcome of Moyamoya DiseaseY.-H. Lin, M.-F. Kuo, C.-J. Lu, C.-W. Lee, S.-H. Yang, Y.-C. Huang, H.-M. Liu and Y.-F. ChenAmerican Journal of Neuroradiology February 2019, 40 (2) 260-266; DOI: https://doi.org/10.3174/ajnr.A5945
Yeo, D.
- FELLOWS' JOURNAL CLUBAdult BrainYou have accessA Deep Learning–Based Approach to Reduce Rescan and Recall Rates in Clinical MRI ExaminationsA. Sreekumari, D. Shanbhag, D. Yeo, T. Foo, J. Pilitsis, J. Polzin, U. Patil, A. Coblentz, A. Kapadia, J. Khinda, A. Boutet, J. Port and I. HancuAmerican Journal of Neuroradiology February 2019, 40 (2) 217-223; DOI: https://doi.org/10.3174/ajnr.A5926
The purpose of this study was to develop a fast, automated method for assessing rescan need in motion-corrupted brain series. A deep learning–based approach was developed, outputting a probability for a series to be clinically useful. Comparison of this per-series probability with a threshold, which can depend on scan indication and reading radiologist, determines whether a series needs to be rescanned. The deep learning classification performance was compared with that of 4 technologists and 5 radiologists in 49 test series with low and moderate motion artifacts. Fast, automated deep learning–based image-quality rating can decrease rescan and recall rates, while rendering them technologist-independent. It was estimated that decreasing rescans and recalls from the technologists' values to the values of deep learning could save hospitals $24,000/scanner/year.
Yokoyama, K.
- EDITOR'S CHOICEAdult BrainOpen AccessImproving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image TranslationA. Hagiwara, Y. Otsuka, M. Hori, Y. Tachibana, K. Yokoyama, S. Fujita, C. Andica, K. Kamagata, R. Irie, S. Koshino, T. Maekawa, L. Chougar, A. Wada, M.Y. Takemura, N. Hattori and S. AokiAmerican Journal of Neuroradiology February 2019, 40 (2) 224-230; DOI: https://doi.org/10.3174/ajnr.A5927
Forty patients with MS were prospectively included and scanned (3T) to acquire synthetic MR imaging and conventional FLAIR images. Synthetic FLAIR images were created with the SyMRI software. Acquired data were divided into 30 training and 10 test datasets. A conditional generative adversarial network was trained to generate improved FLAIR images from raw synthetic MR imaging data using conventional FLAIR images as targets. The peak signal-to-noise ratio, normalized root mean square error, and the Dice index of MS lesion maps were calculated for synthetic and deep learning FLAIR images against conventional FLAIR images, respectively. Lesion conspicuity and the existence of artifacts were visually assessed. The peak signal-to-noise ratio and normalized root mean square error were significantly higher and lower, respectively, in generated-versus-synthetic FLAIR images in aggregate intracranial tissues and all tissue segments. The Dice index of lesion maps and visual lesion conspicuity were comparable between generated and synthetic FLAIR images. Using deep learning, the authors conclude that they improved the synthetic FLAIR image quality by generating FLAIR images that have contrast closer to that of conventional FLAIR images and fewer granular and swelling artifacts, while preserving the lesion contrast.
Yu, J.-P.J.
- Head & NeckOpen AccessContrast-Enhanced 3D-FLAIR Imaging of the Optic Nerve and Optic Nerve Head: Novel Neuroimaging Findings of Idiopathic Intracranial HypertensionE. Golden, R. Krivochenitser, N. Mathews, C. Longhurst, Y. Chen, J.-P.J. Yu and T.A. KennedyAmerican Journal of Neuroradiology February 2019, 40 (2) 334-339; DOI: https://doi.org/10.3174/ajnr.A5937
Yu, T.
- EDITOR'S CHOICEAdult BrainOpen AccessUtility of Dynamic Susceptibility Contrast Perfusion-Weighted MR Imaging and 11C-Methionine PET/CT for Differentiation of Tumor Recurrence from Radiation Injury in Patients with High-Grade GliomasZ. Qiao, X. Zhao, K. Wang, Y. Zhang, D. Fan, T. Yu, H. Shen, Q. Chen and L. AiAmerican Journal of Neuroradiology February 2019, 40 (2) 253-259; DOI: https://doi.org/10.3174/ajnr.A5952
Forty-two patients with high-grade gliomas were enrolled in this study. The final diagnosis was determined by histopathologic analysis or clinical follow-up. PWI and PET parameters were recorded and compared between patients with recurrence and those with radiation injury using Student t tests. Receiver operating characteristic and logistic regression analyses were used to determine the diagnostic performance of each parameter. The final diagnosis was recurrence in 33 patients and radiation injury in 9. PET/CT showed a patient-based sensitivity and specificity of 0.909 and 0.556, respectively, while PWI showed values of 0.667 and 0.778, respectively. The maximum standardized uptake value, mean standardized uptake value, tumor-to-background maximum standardized uptake value, and mean relative CBV were significantly higher for patients with recurrence than for patients with radiation injury. All these parameters showed a significant discriminative power in receiver operating characteristic analysis. Both 11C-methionine PET/CT and PWI are equally accurate in the differentiation of recurrence from radiation injury in patients with high-grade gliomas, and a combination of the 2 modalities could result in increased diagnostic accuracy.
Z
Zhang, L.
- FELLOWS' JOURNAL CLUBAdult BrainOpen AccessAcute Toxic Leukoencephalopathy: Etiologies, Imaging Findings, and Outcomes in 101 PatientsC. Özütemiz, S.K. Roshan, N.J. Kroll, J.C. Benson, J.B. Rykken, M.C. Oswood, L. Zhang and A.M. McKinneyAmerican Journal of Neuroradiology February 2019, 40 (2) 267-275; DOI: https://doi.org/10.3174/ajnr.A5947
Of 101 included patients, the 4 subgroups of >6 were the following: chemotherapy (n = 35), opiates (n = 19), acute hepatic encephalopathy (n = 14), and immunosuppressants (n = 11). Other causes (n = 22 total) notably included carbon monoxide (n = 3) metronidazole (n = 2), and uremia (n = 1). Acute hepatic/hyperammonemic encephalopathy clinically resolved in 36%, with severe outcomes in 23% (coma or death, 9/16 deaths from fludarabine). Notable laboratory results were elevated CSF myelin basic protein levels in 8/9 patients and serum blood urea nitrogen levels in 24/91. Acute toxic leukoencephalopathy is an imaging appearance that can arise from various etiologies, with potentially reversible reduced diffusion predominately affecting the periventricular WM. Given the shared DWI appearance among this heterogeneous array of etiologies, their outcomes may differ. Thus, the neurologic symptoms completely resolved in 36%, while severe outcomes occurred in 23%. The clinical outcome was most severe with chemotherapy-related ATL.
Zhang, X.
- Extracranial VascularOpen AccessTransient Ischemic Attack and Carotid WebH. Hu, X. Zhang, J. Zhao, Y. Li and Y. ZhaoAmerican Journal of Neuroradiology February 2019, 40 (2) 313-318; DOI: https://doi.org/10.3174/ajnr.A5946
Zhang, Y.
- EDITOR'S CHOICEAdult BrainOpen AccessUtility of Dynamic Susceptibility Contrast Perfusion-Weighted MR Imaging and 11C-Methionine PET/CT for Differentiation of Tumor Recurrence from Radiation Injury in Patients with High-Grade GliomasZ. Qiao, X. Zhao, K. Wang, Y. Zhang, D. Fan, T. Yu, H. Shen, Q. Chen and L. AiAmerican Journal of Neuroradiology February 2019, 40 (2) 253-259; DOI: https://doi.org/10.3174/ajnr.A5952
Forty-two patients with high-grade gliomas were enrolled in this study. The final diagnosis was determined by histopathologic analysis or clinical follow-up. PWI and PET parameters were recorded and compared between patients with recurrence and those with radiation injury using Student t tests. Receiver operating characteristic and logistic regression analyses were used to determine the diagnostic performance of each parameter. The final diagnosis was recurrence in 33 patients and radiation injury in 9. PET/CT showed a patient-based sensitivity and specificity of 0.909 and 0.556, respectively, while PWI showed values of 0.667 and 0.778, respectively. The maximum standardized uptake value, mean standardized uptake value, tumor-to-background maximum standardized uptake value, and mean relative CBV were significantly higher for patients with recurrence than for patients with radiation injury. All these parameters showed a significant discriminative power in receiver operating characteristic analysis. Both 11C-methionine PET/CT and PWI are equally accurate in the differentiation of recurrence from radiation injury in patients with high-grade gliomas, and a combination of the 2 modalities could result in increased diagnostic accuracy.
- Review ArticleOpen AccessA Review of Magnetic Particle Imaging and Perspectives on NeuroimagingL.C. Wu, Y. Zhang, G. Steinberg, H. Qu, S. Huang, M. Cheng, T. Bliss, F. Du, J. Rao, G. Song, L. Pisani, T. Doyle, S. Conolly, K. Krishnan, G. Grant and M. WintermarkAmerican Journal of Neuroradiology February 2019, 40 (2) 206-212; DOI: https://doi.org/10.3174/ajnr.A5896
Zhao, J.
- Extracranial VascularOpen AccessTransient Ischemic Attack and Carotid WebH. Hu, X. Zhang, J. Zhao, Y. Li and Y. ZhaoAmerican Journal of Neuroradiology February 2019, 40 (2) 313-318; DOI: https://doi.org/10.3174/ajnr.A5946
Zhao, X.
- EDITOR'S CHOICEAdult BrainOpen AccessUtility of Dynamic Susceptibility Contrast Perfusion-Weighted MR Imaging and 11C-Methionine PET/CT for Differentiation of Tumor Recurrence from Radiation Injury in Patients with High-Grade GliomasZ. Qiao, X. Zhao, K. Wang, Y. Zhang, D. Fan, T. Yu, H. Shen, Q. Chen and L. AiAmerican Journal of Neuroradiology February 2019, 40 (2) 253-259; DOI: https://doi.org/10.3174/ajnr.A5952
Forty-two patients with high-grade gliomas were enrolled in this study. The final diagnosis was determined by histopathologic analysis or clinical follow-up. PWI and PET parameters were recorded and compared between patients with recurrence and those with radiation injury using Student t tests. Receiver operating characteristic and logistic regression analyses were used to determine the diagnostic performance of each parameter. The final diagnosis was recurrence in 33 patients and radiation injury in 9. PET/CT showed a patient-based sensitivity and specificity of 0.909 and 0.556, respectively, while PWI showed values of 0.667 and 0.778, respectively. The maximum standardized uptake value, mean standardized uptake value, tumor-to-background maximum standardized uptake value, and mean relative CBV were significantly higher for patients with recurrence than for patients with radiation injury. All these parameters showed a significant discriminative power in receiver operating characteristic analysis. Both 11C-methionine PET/CT and PWI are equally accurate in the differentiation of recurrence from radiation injury in patients with high-grade gliomas, and a combination of the 2 modalities could result in increased diagnostic accuracy.
Zhao, Y.
- Extracranial VascularOpen AccessTransient Ischemic Attack and Carotid WebH. Hu, X. Zhang, J. Zhao, Y. Li and Y. ZhaoAmerican Journal of Neuroradiology February 2019, 40 (2) 313-318; DOI: https://doi.org/10.3174/ajnr.A5946
Zhong, Y.
- EDITOR'S CHOICEHead & NeckOpen AccessTreatment Response Prediction of Nasopharyngeal Carcinoma Based on Histogram Analysis of Diffusional Kurtosis ImagingN. Tu, Y. Zhong, X. Wang, F. Xing, L. Chen and G. WuAmerican Journal of Neuroradiology February 2019, 40 (2) 326-333; DOI: https://doi.org/10.3174/ajnr.A5925
Thirty-six patients with an initial diagnosis of locoregionally advanced nasopharyngeal carcinoma and diffusional kurtosis imaging acquisitions before and after neoadjuvant chemotherapy were enrolled. Patients were divided into respond-versus-nonrespond groups after neoadjuvant chemotherapy and residual-versus-nonresidual groups after radiation therapy. Receiver operating characteristic analysis indicated that setting pre-D50th = 0.875 x 10-3 mm2/s as the cutoff value could result in optimal diagnostic performance for neoadjuvant chemotherapy response prediction (area under the curve = 0.814, sensitivity = 0.70, specificity = 0.92), while the post-K90th = 1.035 (area under the curve = 0.829, sensitivity = 0.78, specificity = 0.72) was optimal for radiation therapy response prediction. Histogram analysis of diffusional kurtosis imaging may potentially predict the neoadjuvant chemotherapy and short-term radiation therapy response in locoregionally advanced nasopharyngeal carcinoma.