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Index by author

April 01, 2015; Volume 36,Issue 4

  1. Shams, M.

    1. FELLOWS' JOURNAL CLUBBrain
      Open Access
      Cerebral Microbleeds: Different Prevalence, Topography, and Risk Factors Depending on Dementia Diagnosis—The Karolinska Imaging Dementia Study
      S. Shams, J. Martola, T. Granberg, X. Li, M. Shams, S.M. Fereshtehnejad, L. Cavallin, P. Aspelin, M. Kristoffersen-Wiberg and L.O. Wahlund
      American Journal of Neuroradiology April 2015, 36 (4) 661-666; DOI: https://doi.org/10.3174/ajnr.A4176

      MR studies in more than 1500 patients with dementia revealed that 22% had microbleedsthat were predominantly lobar and occipital in cases of Alzheimer disease. Patients with microbleeds were older, male, and hypertensive. Prevalence, location, and risk factors of microbleeds varied depending on dementia diagnosis and may be taken into account when anticoagulating such patients.

  2. Shams, S.

    1. FELLOWS' JOURNAL CLUBBrain
      Open Access
      Cerebral Microbleeds: Different Prevalence, Topography, and Risk Factors Depending on Dementia Diagnosis—The Karolinska Imaging Dementia Study
      S. Shams, J. Martola, T. Granberg, X. Li, M. Shams, S.M. Fereshtehnejad, L. Cavallin, P. Aspelin, M. Kristoffersen-Wiberg and L.O. Wahlund
      American Journal of Neuroradiology April 2015, 36 (4) 661-666; DOI: https://doi.org/10.3174/ajnr.A4176

      MR studies in more than 1500 patients with dementia revealed that 22% had microbleedsthat were predominantly lobar and occipital in cases of Alzheimer disease. Patients with microbleeds were older, male, and hypertensive. Prevalence, location, and risk factors of microbleeds varied depending on dementia diagnosis and may be taken into account when anticoagulating such patients.

  3. Shashar, D.

    1. Pediatric Neuroimaging
      Normal Fetal Posterior Fossa in MR Imaging: New Biometric Data and Possible Clinical Significance
      R. Ber, O. Bar-Yosef, C. Hoffmann, D. Shashar, R. Achiron and E. Katorza
      American Journal of Neuroradiology April 2015, 36 (4) 795-802; DOI: https://doi.org/10.3174/ajnr.A4258

  4. Somme, J.H.

    1. Brain
      Open Access
      Comparing 3T and 1.5T MRI for Mapping Hippocampal Atrophy in the Alzheimer's Disease Neuroimaging Initiative
      N. Chow, K.S. Hwang, S. Hurtz, A.E. Green, J.H. Somme, P.M. Thompson, D.A. Elashoff, C.R. Jack, M. Weiner and L.G. Apostolova for the Alzheimer's Disease Neuroimaging Initiative
      American Journal of Neuroradiology April 2015, 36 (4) 653-660; DOI: https://doi.org/10.3174/ajnr.A4228

  5. Spampinato, M.V.

    1. Brain
      Altered Microstructure in Temporal Lobe Epilepsy: A Diffusional Kurtosis Imaging Study
      L. Bonilha, C.-Y. Lee, J.H. Jensen, A. Tabesh, M.V. Spampinato, J.C. Edwards, J. Breedlove and J.A. Helpern
      American Journal of Neuroradiology April 2015, 36 (4) 719-724; DOI: https://doi.org/10.3174/ajnr.A4185

  6. Spliet, W.G.M.

    1. EDITOR'S CHOICEBrain
      Imaging the Intracranial Atherosclerotic Vessel Wall Using 7T MRI: Initial Comparison with Histopathology
      A.G. van der Kolk, J.J.M. Zwanenburg, N.P. Denswil, A. Vink, W.G.M. Spliet, M.J.A.P. Daemen, F. Visser, D.W.J. Klomp, P.R. Luijten and J. Hendrikse
      American Journal of Neuroradiology April 2015, 36 (4) 694-701; DOI: https://doi.org/10.3174/ajnr.A4178

      In this preliminary study, 7T imaging was capable of identifying not only intracranial wall thickening but different plaque components such as foamy macrophages and collagen. Signal heterogeneity was typical of advanced atherosclerotic disease.

  7. Srinivasan, A.

    1. Head and Neck Imaging
      Open Access
      Feasibility Analysis of the Parametric Response Map as an Early Predictor of Treatment Efficacy in Head and Neck Cancer
      A.H. Baer, B.A. Hoff, A. Srinivasan, C.J. Galbán and S.K. Mukherji
      American Journal of Neuroradiology April 2015, 36 (4) 757-762; DOI: https://doi.org/10.3174/ajnr.A4296

  8. Stapf, C.

    1. Editorials
      Open Access
      Viewpoints on the ARUBA Trial
      J.P. Mohr, A. Hartmann, H. Kim, J. Pile-Spellman and C. Stapf
      American Journal of Neuroradiology April 2015, 36 (4) 615-617; DOI: https://doi.org/10.3174/ajnr.A4204

  9. Steed, T.C.

    1. Brain
      Open Access
      Iterative Probabilistic Voxel Labeling: Automated Segmentation for Analysis of The Cancer Imaging Archive Glioblastoma Images
      T.C. Steed, J.M. Treiber, K.S. Patel, Z. Taich, N.S. White, M.L. Treiber, N. Farid, B.S. Carter, A.M. Dale and C.C. Chen
      American Journal of Neuroradiology April 2015, 36 (4) 678-685; DOI: https://doi.org/10.3174/ajnr.A4171

  10. Symons, S.

    1. Brain
      Contribution and Additional Impact of Imaging to the SPAN-100 Score
      P. Krishnan, G. Saposnik, B. Ovbiagele, L. Zhang, S. Symons and R. Aviv
      American Journal of Neuroradiology April 2015, 36 (4) 646-652; DOI: https://doi.org/10.3174/ajnr.A4195
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