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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. Ma, J.

    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
  2. Ma, 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
  3. Ma, Q.

    1. Functional
      Open Access
      Influence of Resting-State Network on Lateralization of Functional Connectivity in Mesial Temporal Lobe Epilepsy
      L. Su, J. An, Q. Ma, S. Qiu and D. Hu
      American Journal of Neuroradiology August 2015, 36 (8) 1479-1487; DOI: https://doi.org/10.3174/ajnr.A4346
  4. Mancuso, A.A.

    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.

  5. Mascarenhas, D.

    1. Head and Neck Imaging
      You have access
      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. Massini, T.C.

    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.

  7. Mathijssen, I.M.J.

    1. Pediatric Neuroimaging
      Open Access
      Diffusion Tensor Imaging and Fiber Tractography in Children with Craniosynostosis Syndromes
      B.F.M. Rijken, A. Leemans, Y. Lucas, K. van Montfort, I.M.J. Mathijssen and M.H. Lequin
      American Journal of Neuroradiology August 2015, 36 (8) 1558-1564; DOI: https://doi.org/10.3174/ajnr.A4301
  8. Matsushige, T.

    1. Neurointervention
      You have access
      Vascular Wall Imaging of Unruptured Cerebral Aneurysms with a Hybrid of Opposite-Contrast MR Angiography
      T. Matsushige, Y. Akiyama, T. Okazaki, K. Shinagawa, N. Ichinose, K. Awai and K. Kurisu
      American Journal of Neuroradiology August 2015, 36 (8) 1507-1511; DOI: https://doi.org/10.3174/ajnr.A4318
  9. Middlebrooks, E.H.

    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.

  10. Miller, S.P.

    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
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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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