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Index by author

June 01, 2017; Volume 38,Issue 6

  1. Pfaff, J.

    1. Neurointervention
      Minor Stroke Syndromes in Large-Vessel Occlusions: Mechanical Thrombectomy or Thrombolysis Only?
      M.P. Messer, S. Schönenberger, M.A. Möhlenbruch, J. Pfaff, C. Herweh, P.A. Ringleb and S. Nagel
      American Journal of Neuroradiology June 2017, 38 (6) 1177-1179; DOI: https://doi.org/10.3174/ajnr.A5164

  2. Pierot, L.

    1. Neurointervention
      Safety and Efficacy of Aneurysm Treatment with the WEB: Results of the WEBCAST 2 Study
      L. Pierot, I. Gubucz, J.H. Buhk, M. Holtmannspötter, D. Herbreteau, L. Stockx, L. Spelle, J. Berkefeld, A.-C. Januel, A. Molyneux, J.V. Byrne, J. Fiehler, I. Szikora and X. Barreau
      American Journal of Neuroradiology June 2017, 38 (6) 1151-1155; DOI: https://doi.org/10.3174/ajnr.A5178

  3. Pitteri, M.

    1. EDITOR'S CHOICEADULT BRAIN
      Open Access
      Heterogeneity of Cortical Lesion Susceptibility Mapping in Multiple Sclerosis
      M. Castellaro, R. Magliozzi, A. Palombit, M. Pitteri, E. Silvestri, V. Camera, S. Montemezzi, F.B. Pizzini, A. Bertoldo, R. Reynolds, S. Monaco and M. Calabrese
      American Journal of Neuroradiology June 2017, 38 (6) 1087-1095; DOI: https://doi.org/10.3174/ajnr.A5150

      The authors characterized the susceptibility mapping of cortical lesions in patients with MS (n=36) and compared it with neuropathologic observations (n=16). Neuropathologic analysis revealed the presence of an intense band of microglia activation close to the pial membrane in subpial cortical lesions or to the WM border of leukocortical cortical lesions. The quantitative susceptibility mapping analysis revealed 131 cortical lesions classified as hyperintense; 33, as isointense; and 84, as hypointense. They conclude that cortical lesion susceptibility maps are highly heterogeneous, even at individual levels and that the quantitative susceptibility mapping hyperintensity edge found in proximity to the pial surface might be due to the subpial gradient of microglial activation.

  4. Pizzini, F.B.

    1. EDITOR'S CHOICEADULT BRAIN
      Open Access
      Heterogeneity of Cortical Lesion Susceptibility Mapping in Multiple Sclerosis
      M. Castellaro, R. Magliozzi, A. Palombit, M. Pitteri, E. Silvestri, V. Camera, S. Montemezzi, F.B. Pizzini, A. Bertoldo, R. Reynolds, S. Monaco and M. Calabrese
      American Journal of Neuroradiology June 2017, 38 (6) 1087-1095; DOI: https://doi.org/10.3174/ajnr.A5150

      The authors characterized the susceptibility mapping of cortical lesions in patients with MS (n=36) and compared it with neuropathologic observations (n=16). Neuropathologic analysis revealed the presence of an intense band of microglia activation close to the pial membrane in subpial cortical lesions or to the WM border of leukocortical cortical lesions. The quantitative susceptibility mapping analysis revealed 131 cortical lesions classified as hyperintense; 33, as isointense; and 84, as hypointense. They conclude that cortical lesion susceptibility maps are highly heterogeneous, even at individual levels and that the quantitative susceptibility mapping hyperintensity edge found in proximity to the pial surface might be due to the subpial gradient of microglial activation.

  5. Prabhu, A.V.

    1. Spine Imaging and Spine Image-Guided Interventions
      Enhancing the Radiologist-Patient Relationship through Improved Communication: A Quantitative Readability Analysis in Spine Radiology
      D.R. Hansberry, A.L. Donovan, A.V. Prabhu, N. Agarwal, M. Cox and A.E. Flanders
      American Journal of Neuroradiology June 2017, 38 (6) 1252-1256; DOI: https://doi.org/10.3174/ajnr.A5151

  6. Prabhu, V.

    1. ADULT BRAIN
      Role of High-Resolution Dynamic Contrast-Enhanced MRI with Golden-Angle Radial Sparse Parallel Reconstruction to Identify the Normal Pituitary Gland in Patients with Macroadenomas
      R. Sen, C. Sen, J. Pack, K.T. Block, J.G. Golfinos, V. Prabhu, F. Boada, O. Gonen, D. Kondziolka and G. Fatterpekar
      American Journal of Neuroradiology June 2017, 38 (6) 1117-1121; DOI: https://doi.org/10.3174/ajnr.A5244
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