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AJNR Awards, New Junior Editors, and more. Read the latest AJNR updates

Index by author

August 01, 2015; Volume 36,Issue 8
  • A
  • B
  • C
  • D
  • E
  • F
  • G
  • H
  • I
  • J
  • K
  • L
  • M
  • N
  • O
  • P
  • Q
  • R
  • S
  • T
  • U
  • V
  • W
  • X
  • Y
  • Z

  1. Chamorro, Á.

    1. Adult Brain
      You have access
      Perfusion Deficits and Mismatch in Patients with Acute Lacunar Infarcts Studied with Whole-Brain CT Perfusion
      S. Rudilosso, X. Urra, L. San Román, C. Laredo, A. López-Rueda, S. Amaro, L. Oleaga and Á. Chamorro
      American Journal of Neuroradiology August 2015, 36 (8) 1407-1412; DOI: https://doi.org/10.3174/ajnr.A4303
  2. Chang, F.-C.

    1. Letter
      You have access
      Reply:
      H.-J. Lee and F.-C. Chang
      American Journal of Neuroradiology August 2015, 36 (8) E57; DOI: https://doi.org/10.3174/ajnr.A4452
  3. Chau, V.

    1. Pediatric Neuroimaging
      Open Access
      Tract-Based Spatial Statistics in Preterm-Born Neonates Predicts Cognitive and Motor Outcomes at 18 Months
      E.G. Duerden, J. Foong, V. Chau, H. Branson, K.J. Poskitt, R.E. Grunau, A. Synnes, J.G. Zwicker and S.P. Miller
      American Journal of Neuroradiology August 2015, 36 (8) 1565-1571; DOI: https://doi.org/10.3174/ajnr.A4312
  4. Chen, G.

    1. Functional
      Open Access
      Identifying Corticothalamic Network Epicenters in Patients with Idiopathic Generalized Epilepsy
      G.-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. Lu
      American Journal of Neuroradiology August 2015, 36 (8) 1494-1500; DOI: https://doi.org/10.3174/ajnr.A4308
  5. Chen, X.-L.

    1. Pediatric Neuroimaging
      Open Access
      Periventricular Location as a Risk Factor for Hemorrhage and Severe Clinical Presentation in Pediatric Patients with Untreated Brain Arteriovenous Malformations
      L. 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. Zhao
      American Journal of Neuroradiology August 2015, 36 (8) 1550-1557; DOI: https://doi.org/10.3174/ajnr.A4300
  6. Claassen, J.

    1. Adult Brain
      Open Access
      Evaluating CT Perfusion Deficits in Global Cerebral Edema after Aneurysmal Subarachnoid Hemorrhage
      H. Baradaran, V. Fodera, D. Mir, K. Kesavobhotla, J. Ivanidze, U. Ozbek, A. Gupta, J. Claassen and P.C. Sanelli
      American Journal of Neuroradiology August 2015, 36 (8) 1431-1435; DOI: https://doi.org/10.3174/ajnr.A4328
  7. Curtin, H.D.

    1. Head and Neck Imaging
      Open Access
      Optimal Virtual Monochromatic Images for Evaluation of Normal Tissues and Head and Neck Cancer Using Dual-Energy CT
      S. Lam, R. Gupta, M. Levental, E. Yu, H.D. Curtin and R. Forghani
      American Journal of Neuroradiology August 2015, 36 (8) 1518-1524; DOI: https://doi.org/10.3174/ajnr.A4314
  8. Das, S.

    1. Adult Brain
      You have access
      Constrained Source Space MR Spectroscopy: Multiple Voxels, No Gradient Readout
      K. Landheer, A. Sahgal, S. Das and S.J. Graham
      American Journal of Neuroradiology August 2015, 36 (8) 1436-1443; DOI: https://doi.org/10.3174/ajnr.A4319
  9. Dehkharghani, S.

    1. Adult Brain
      You have access
      Performance 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 Stroke
      S. Dehkharghani, R. Bammer, M. Straka, L.S. Albin, O. Kass-Hout, J.W. Allen, S. Rangaraju, D. Qiu, M.J. Winningham and F. Nahab
      American Journal of Neuroradiology August 2015, 36 (8) 1419-1425; DOI: https://doi.org/10.3174/ajnr.A4363
  10. De Jesus, R.O.

    1. FELLOWS' JOURNAL CLUBHead and Neck Imaging
      Open Access
      Acute Invasive Fungal Rhinosinusitis: A Comprehensive Update of CT Findings and Design of an Effective Diagnostic Imaging Model
      E.H. Middlebrooks, C.J. Frost, R.O. De Jesus, T.C. Massini, I.M. Schmalfuss and A.A. Mancuso
      American 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.

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American Journal of Neuroradiology: 36 (8)
American Journal of Neuroradiology
Vol. 36, Issue 8
1 Aug 2015
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