Index by author
Bruce, J.N.
- EDITOR'S CHOICEADULT BRAINYou have accessA Multiparametric Model for Mapping Cellularity in Glioblastoma Using Radiographically Localized BiopsiesP.D. Chang, H.R. Malone, S.G. Bowden, D.S. Chow, B.J.A. Gill, T.H. Ung, J. Samanamud, Z.K. Englander, A.M. Sonabend, S.A. Sheth, G.M. McKhann, M.B. Sisti, L.H. Schwartz, A. Lignelli, J. Grinband, J.N. Bruce and P. CanollAmerican Journal of Neuroradiology May 2017, 38 (5) 890-898; DOI: https://doi.org/10.3174/ajnr.A5112
Ninety-one localized biopsies were obtained from 36 patients with glioblastoma. Signal intensities corresponding to these samples were derived from T1-postcontrast subtraction, T2-FLAIR, and ADC sequences by using an automated coregistration algorithm. Cell density was calculated for each specimen by using an automated cell-counting algorithm. T2-FLAIR and ADC sequences were inversely correlated with cell density. T1-postcontrast subtraction was directly correlated with cell density. The authors conclude that the model illustrates a quantitative and significant relationship between MR signal and cell density. Applying this relationship over the entire tumor volume allows mapping of the intratumoral heterogeneity for both enhancing core and nonenhancing margins.
Buch, K.
- ADULT BRAINYou have accessQuantitative Assessment of Variation in CT Parameters on Texture Features: Pilot Study Using a Nonanatomic PhantomK. Buch, B. Li, M.M. Qureshi, H. Kuno, S.W. Anderson and O. SakaiAmerican Journal of Neuroradiology May 2017, 38 (5) 981-985; DOI: https://doi.org/10.3174/ajnr.A5139
Bunch, P.M.
- HEAD & NECKYou have accessTrochlear Groove and Trochlear Cistern: Useful Anatomic Landmarks for Identifying the Tentorial Segment of Cranial Nerve IV on MRIP.M. Bunch, H.R. Kelly, D.A. Zander and H.D. CurtinAmerican Journal of Neuroradiology May 2017, 38 (5) 1026-1030; DOI: https://doi.org/10.3174/ajnr.A5117
Cabral, H.J.
- ADULT BRAINOpen AccessEntorhinal Cortex: Antemortem Cortical Thickness and Postmortem Neurofibrillary Tangles and Amyloid PathologyA.A. Thaker, B.D. Weinberg, W.P. Dillon, C.P. Hess, H.J. Cabral, D.A. Fleischman, S.E. Leurgans, D.A. Bennett, B.T. Hyman, M.S. Albert, R.J. Killiany, B. Fischl, A.M. Dale and R.S. DesikanAmerican Journal of Neuroradiology May 2017, 38 (5) 961-965; DOI: https://doi.org/10.3174/ajnr.A5133
Caffo, B.
- FUNCTIONALYou have accessPresurgical Brain Mapping of the Ventral Somatomotor Network in Patients with Brain Tumors Using Resting-State fMRIN. Yahyavi-Firouz-Abadi, J.J. Pillai, M.A. Lindquist, V.D. Calhoun, S. Agarwal, R.D. Airan, B. Caffo, S.K. Gujar and H.I. SairAmerican Journal of Neuroradiology May 2017, 38 (5) 1006-1012; DOI: https://doi.org/10.3174/ajnr.A5132
Calhoun, V.D.
- FUNCTIONALYou have accessPresurgical Brain Mapping of the Ventral Somatomotor Network in Patients with Brain Tumors Using Resting-State fMRIN. Yahyavi-Firouz-Abadi, J.J. Pillai, M.A. Lindquist, V.D. Calhoun, S. Agarwal, R.D. Airan, B. Caffo, S.K. Gujar and H.I. SairAmerican Journal of Neuroradiology May 2017, 38 (5) 1006-1012; DOI: https://doi.org/10.3174/ajnr.A5132
Campbell, B.C.V.
- ADULT BRAINOpen AccessIpsilateral Prominent Thalamostriate Vein on Susceptibility-Weighted Imaging Predicts Poor Outcome after Intravenous Thrombolysis in Acute Ischemic StrokeX. Zhang, S. Zhang, Q. Chen, W. Ding, B.C.V. Campbell and M. LouAmerican Journal of Neuroradiology May 2017, 38 (5) 875-881; DOI: https://doi.org/10.3174/ajnr.A5135
Canoll, P.
- EDITOR'S CHOICEADULT BRAINYou have accessA Multiparametric Model for Mapping Cellularity in Glioblastoma Using Radiographically Localized BiopsiesP.D. Chang, H.R. Malone, S.G. Bowden, D.S. Chow, B.J.A. Gill, T.H. Ung, J. Samanamud, Z.K. Englander, A.M. Sonabend, S.A. Sheth, G.M. McKhann, M.B. Sisti, L.H. Schwartz, A. Lignelli, J. Grinband, J.N. Bruce and P. CanollAmerican Journal of Neuroradiology May 2017, 38 (5) 890-898; DOI: https://doi.org/10.3174/ajnr.A5112
Ninety-one localized biopsies were obtained from 36 patients with glioblastoma. Signal intensities corresponding to these samples were derived from T1-postcontrast subtraction, T2-FLAIR, and ADC sequences by using an automated coregistration algorithm. Cell density was calculated for each specimen by using an automated cell-counting algorithm. T2-FLAIR and ADC sequences were inversely correlated with cell density. T1-postcontrast subtraction was directly correlated with cell density. The authors conclude that the model illustrates a quantitative and significant relationship between MR signal and cell density. Applying this relationship over the entire tumor volume allows mapping of the intratumoral heterogeneity for both enhancing core and nonenhancing margins.
Chai, J.-W.
- SPINEYou have accessQuantitative Measurement of CSF in Patients with Spontaneous Intracranial HypotensionH.-C. Chen, P.-L. Chen, Y.-H. Tsai, C.-H. Chen, C.C.-C. Chen and J.-W. ChaiAmerican Journal of Neuroradiology May 2017, 38 (5) 1061-1067; DOI: https://doi.org/10.3174/ajnr.A5134
Chandler, A.
- ADULT BRAINOpen AccessPerformance Assessment for Brain MR Imaging Registration MethodsJ.S. Lin, D.T. Fuentes, A. Chandler, S.S. Prabhu, J.S. Weinberg, V. Baladandayuthapani, J.D. Hazle and D. SchellingerhoutAmerican Journal of Neuroradiology May 2017, 38 (5) 973-980; DOI: https://doi.org/10.3174/ajnr.A5122
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