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Index by author

August 01, 2015; Volume 36,Issue 8

  1. Das, S.

    1. Adult Brain
      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

  2. Dehkharghani, S.

    1. Adult Brain
      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

  3. 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.

  4. Desmond, P.M.

    1. EDITOR'S CHOICEAdult Brain
      Improving Multiple Sclerosis Plaque Detection Using a Semiautomated Assistive Approach
      J. van Heerden, D. Rawlinson, A.M. Zhang, R. Chakravorty, M.A. Tacey, P.M. Desmond and F. Gaillard
      American Journal of Neuroradiology August 2015, 36 (8) 1465-1471; DOI: https://doi.org/10.3174/ajnr.A4375

      The authors evaluated and validated a semiautomated software platform to facilitate detection of new lesions and improved MS lesions. Two neuroradiologists retrospectively assessed 161 MR imaging comparison study pairs acquired between 2009 and 2011. More comparison study pairs with new lesions and improved lesions were recorded by using the software compared with original radiology reports.

  5. Dreizin, D.

    1. Head and Neck Imaging
      Hyperintense Optic Nerve due to Diffusion Restriction: Diffusion-Weighted Imaging in Traumatic Optic Neuropathy
      U.K. Bodanapally, K. Shanmuganathan, R.K. Shin, D. Dreizin, L. Katzman, R.P. Reddy and D. Mascarenhas
      American Journal of Neuroradiology August 2015, 36 (8) 1536-1541; DOI: https://doi.org/10.3174/ajnr.A4290

  6. Duerden, E.G.

    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

  7. Dwyer, M.G.

    1. Adult Brain
      Open Access
      Longitudinal Mixed-Effect Model Analysis of the Association between Global and Tissue-Specific Brain Atrophy and Lesion Accumulation in Patients with Clinically Isolated Syndrome
      M. Varosanec, T. Uher, D. Horakova, J. Hagemeier, N. Bergsland, M. Tyblova, Z. Seidl, M. Vaneckova, J. Krasensky, M.G. Dwyer, E. Havrdova and R. Zivadinov
      American Journal of Neuroradiology August 2015, 36 (8) 1457-1464; DOI: https://doi.org/10.3174/ajnr.A4330
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