Index by author
August 01, 2015; Volume 36,Issue 8
Chamorro, Á.
- Adult BrainYou have accessPerfusion Deficits and Mismatch in Patients with Acute Lacunar Infarcts Studied with Whole-Brain CT PerfusionS. Rudilosso, X. Urra, L. San Román, C. Laredo, A. López-Rueda, S. Amaro, L. Oleaga and Á. ChamorroAmerican Journal of Neuroradiology August 2015, 36 (8) 1407-1412; DOI: https://doi.org/10.3174/ajnr.A4303
Chang, F.-C.
- LetterYou have accessReply:H.-J. Lee and F.-C. ChangAmerican Journal of Neuroradiology August 2015, 36 (8) E57; DOI: https://doi.org/10.3174/ajnr.A4452
Chau, V.
- Pediatric NeuroimagingOpen AccessTract-Based Spatial Statistics in Preterm-Born Neonates Predicts Cognitive and Motor Outcomes at 18 MonthsE.G. Duerden, J. Foong, V. Chau, H. Branson, K.J. Poskitt, R.E. Grunau, A. Synnes, J.G. Zwicker and S.P. MillerAmerican Journal of Neuroradiology August 2015, 36 (8) 1565-1571; DOI: https://doi.org/10.3174/ajnr.A4312
Chen, G.
- FunctionalOpen AccessIdentifying Corticothalamic Network Epicenters in Patients with Idiopathic Generalized EpilepsyG.-J. Ji, Z. Zhang, Q. Xu, Z. Wang, J. Wang, Q. Jiao, F. Yang, Q. Tan, G. Chen, Y.-F. Zang, W. Liao and G. LuAmerican Journal of Neuroradiology August 2015, 36 (8) 1494-1500; DOI: https://doi.org/10.3174/ajnr.A4308
Chen, X.-L.
- Pediatric NeuroimagingOpen AccessPeriventricular Location as a Risk Factor for Hemorrhage and Severe Clinical Presentation in Pediatric Patients with Untreated Brain Arteriovenous MalformationsL. Ma, Z. Huang, X.-L. Chen, J. Ma, X.-J. Liu, H. Wang, X. Ye, S.-L. Wang, Y. Cao, S. Wang, Y.-L. Zhao and J.-Z. ZhaoAmerican Journal of Neuroradiology August 2015, 36 (8) 1550-1557; DOI: https://doi.org/10.3174/ajnr.A4300
Claassen, J.
- Adult BrainOpen AccessEvaluating CT Perfusion Deficits in Global Cerebral Edema after Aneurysmal Subarachnoid HemorrhageH. Baradaran, V. Fodera, D. Mir, K. Kesavobhotla, J. Ivanidze, U. Ozbek, A. Gupta, J. Claassen and P.C. SanelliAmerican Journal of Neuroradiology August 2015, 36 (8) 1431-1435; DOI: https://doi.org/10.3174/ajnr.A4328
Curtin, H.D.
- Head and Neck ImagingOpen AccessOptimal Virtual Monochromatic Images for Evaluation of Normal Tissues and Head and Neck Cancer Using Dual-Energy CTS. Lam, R. Gupta, M. Levental, E. Yu, H.D. Curtin and R. ForghaniAmerican Journal of Neuroradiology August 2015, 36 (8) 1518-1524; DOI: https://doi.org/10.3174/ajnr.A4314
Das, S.
- Adult BrainYou have accessConstrained Source Space MR Spectroscopy: Multiple Voxels, No Gradient ReadoutK. Landheer, A. Sahgal, S. Das and S.J. GrahamAmerican Journal of Neuroradiology August 2015, 36 (8) 1436-1443; DOI: https://doi.org/10.3174/ajnr.A4319
Dehkharghani, S.
- Adult BrainYou have accessPerformance and Predictive Value of a User-Independent Platform for CT Perfusion Analysis: Threshold-Derived Automated Systems Outperform Examiner-Driven Approaches in Outcome Prediction of Acute Ischemic StrokeS. Dehkharghani, R. Bammer, M. Straka, L.S. Albin, O. Kass-Hout, J.W. Allen, S. Rangaraju, D. Qiu, M.J. Winningham and F. NahabAmerican Journal of Neuroradiology August 2015, 36 (8) 1419-1425; DOI: https://doi.org/10.3174/ajnr.A4363
De Jesus, R.O.
- FELLOWS' JOURNAL CLUBHead and Neck ImagingOpen AccessAcute Invasive Fungal Rhinosinusitis: A Comprehensive Update of CT Findings and Design of an Effective Diagnostic Imaging ModelE.H. Middlebrooks, C.J. Frost, R.O. De Jesus, T.C. Massini, I.M. Schmalfuss and A.A. MancusoAmerican Journal of Neuroradiology August 2015, 36 (8) 1529-1535; DOI: https://doi.org/10.3174/ajnr.A4298
Two blinded neuroradiologists retrospectively graded 23 prespecified imaging abnormalities in the craniofacial region on CT examinations from 42 patients with pathology-proven acute invasive fungal rhinosinusitis and 42 control patients. A 7-variable model (periantral fat, bone dehiscence, orbital invasion, septal ulceration, pterygopalatine fossa, nasolacrimal duct, and lacrimal sac) was synthesized on the basis of multivariate analysis. The presence of abnormality involving a single variable in the model had an 87% positive predictive value, 95% negative predictive value, 95% sensitivity, and 86% specificity.
In this issue
American Journal of Neuroradiology
Vol. 36, Issue 8
1 Aug 2015
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