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Index by author

March 01, 2024; Volume 45,Issue 3

  1. Parker, Dennis L

    1. Neurointervention
      MR-Guided Focused Ultrasound Thalamotomy in the Setting of Aneurysm Clip
      Henrik Odéen, Lubdha M Shah, Viola Rieke, Dennis L Parker and Shervin Rahimpour
      American Journal of Neuroradiology March 2024, 45 (3) 302-304; DOI: https://doi.org/10.3174/ajnr.A8109

  2. Payabvash, Seyedmehdi

    1. FELLOWS' JOURNAL CLUBHealth Policies/Quality Improvement/Evidence-Based Neuroimaging
      Young Professionals in Neuroradiology: Opportunities, Challenges, and Future Directions
      Anna V. Trofimova, Yi Li, Parisa Mazaheri, Arun Krishnan, Seyedmehdi Payabvash, Manon Kappelhof and Judith A. Gadde
      American Journal of Neuroradiology March 2024, 45 (3) 256-261; DOI: https://doi.org/10.3174/ajnr.A8147

      This article reviews notable developments relevant to current and future young professionals in neuroradiology and highlights the role of the Young Professionals Committee of the American Society of Neuroradiology. The focus is on early neuroradiology engagement, flexible work arrangements, private practice, social media, artificial intelligence, and international collaborations.

  3. Perry, Avital

    1. EDITOR'S CHOICENeurodegenerative Disorder Imaging
      Open Access
      Prediction of Surgical Outcomes in Normal Pressure Hydrocephalus by MR Elastography
      Pragalv Karki, Matthew C. Murphy, Petrice M. Cogswell, Matthew L. Senjem, Jonathan Graff-Radford, Benjamin D. Elder, Avital Perry, Christopher S. Graffeo, Fredric B Meyer, Clifford R. Jack, Richard L. Ehman and John Huston
      American Journal of Neuroradiology March 2024, 45 (3) 328-334; DOI: https://doi.org/10.3174/ajnr.A8108

      MR elastography allows noninvasive evaluation of mechanical properties of the brain altered by NPH. Different morphologic phenotypes of NPH are associated with unique mechanical signatures. Pattern analysis based on MRE is a promising method for improving diagnosis to distinguish NPH from other neurologic disorders that may have overlapping imaging and/or clinical presentations (such as Parkinson disease, Alzheimer disease, or progressive supranuclear palsy) and for predicting shunt outcomes.

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