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Index by author

October 01, 2024; Volume 45,Issue 10

  1. Kobeissi, Hassan

    1. Artificial Intelligence
      DSA Quantitative Analysis and Predictive Modeling of Obliteration in Cerebral AVM following Stereotactic Radiosurgery
      Mohamed Sobhi Jabal, Marwa A. Mohammed, Cody L. Nesvick, Hassan Kobeissi, Christopher S. Graffeo, Bruce E. Pollock and Waleed Brinjikji
      American Journal of Neuroradiology October 2024, 45 (10) 1521-1527; DOI: https://doi.org/10.3174/ajnr.A8351

  2. Kottlors, Jonathan

    1. Neurointervention
      Multicenter Experience with the Pipeline Flex and Vantage with Shield Technology for Intracranial Aneurysm Treatment
      Lukas Goertz, Sophia Hohenstatt, Dominik F. Vollherbst, Muriel Pflaeging, Christian Gronemann, Eberhard Siebert, David Zopfs, Lenhard Pennig, Jonathan Kottlors, Marc Schlamann, Georg Bohner, Franziska Dorn, Thomas Liebig, Markus Möhlenbruch and Christoph Kabbasch
      American Journal of Neuroradiology October 2024, 45 (10) 1488-1494; DOI: https://doi.org/10.3174/ajnr.A8352

  3. Kranz, Peter G.

    1. EDITOR'S CHOICESpine Imaging and Spine Image-Guided Interventions
      Myelographic Techniques for the Localization of CSF-Venous Fistulas: Updates in 2024
      Ajay A. Madhavan, Waleed Brinjikji, Jeremy K. Cutsforth-Gregory, Timothy J. Amrhein, Peter G. Kranz, John C. Benson, Felix E. Diehn, Ben A. Johnson-Tesch, Greta B. Liebo, Vance T. Lehman, Ian T. Mark, Pearse P. Morris, Michael P. Oien, Darya P. Shlapak and Jared T. Verdoorn
      American Journal of Neuroradiology October 2024, 45 (10) 1403-1412; DOI: https://doi.org/10.3174/ajnr.A8299

      This is an updated comprehensive review of the various myelographic techniques that can be used to identify CSF-venous fistulas. The authors discuss the advantages and disadvantages of each and describe provocative maneuvers that may improve the conspicuity of CVFs.

    2. Spine Imaging and Spine Image-Guided Interventions
      Diagnostic Yield of Decubitus CT Myelography for Detection of CSF-Venous Fistulas
      Jacob T. Gibby, Timothy J. Amrhein, Derek S. Young, Jessica L. Houk and Peter G. Kranz
      American Journal of Neuroradiology October 2024, 45 (10) 1597-1604; DOI: https://doi.org/10.3174/ajnr.A8330

  4. Krishnan, Pradeep

    1. Pediatric Neuroimaging
      Imaging Findings and MRI Patterns in a Cohort of 18q Chromosomal Abnormalities
      Prateek Malik, Helen Branson, Grace Yoon, Manohar Shroff, Susan Blaser and Pradeep Krishnan
      American Journal of Neuroradiology October 2024, 45 (10) 1578-1585; DOI: https://doi.org/10.3174/ajnr.A8361

  5. Kulcsar, Zsolt

    1. Neurointervention
      Endovascular Embolization as a Stand-Alone Treatment of Head and Neck Paragangliomas with Long-Term Tumor Control
      Samira Michel, Riccardo Ludovichetti, Gergely Bertalan, Patrick Thurner, Jawid Madjidyar, Tilman Schubert, Martina Broglie Däppen, Svenja Nölting, Alexander Huber and Zsolt Kulcsar
      American Journal of Neuroradiology October 2024, 45 (10) 1499-1505; DOI: https://doi.org/10.3174/ajnr.A8328

  6. Lahlouh, Mounir

    1. Neurointervention
      Open Access
      ACCESS: ACtive Catheterization for EndovaScular TreatmentS—A First-in-Human, Single-Center, Nonrandomized, Open Clinical Study of the G60 Active Device for Endovascular Neurointerventions
      Simon Escalard, Amira Al-Raaisi, Jean-Philippe Désilles, Hocine Redjem, Stanislas Smajda, Mounir Lahlouh, François Delvoye, William Boisseau, Mikaël Mazighi and Michel Piotin
      American Journal of Neuroradiology October 2024, 45 (10) 1495-1498; DOI: https://doi.org/10.3174/ajnr.A8345

  7. Lai, Albert

    1. Brain Tumor
      Pseudo-Resting-State Functional MRI Derived from Dynamic Susceptibility Contrast Perfusion MRI Can Predict Cognitive Impairment in Glioma
      Nicholas S. Cho, Chencai Wang, Kathleen Van Dyk, Francesco Sanvito, Sonoko Oshima, Jingwen Yao, Albert Lai, Noriko Salamon, Timothy F. Cloughesy, Phioanh L. Nghiemphu and Benjamin M. Ellingson
      American Journal of Neuroradiology October 2024, 45 (10) 1552-1561; DOI: https://doi.org/10.3174/ajnr.A8327

  8. Lane, Nancy E.

    1. Artificial Intelligence
      Using an Ensemble of Segmentation Methods to Detect Vertebral Bodies on Radiographs
      Brian C. Chang, Jonathan Renslo, Qifei Dong, Sandra K. Johnston, Jessica Perry, David R. Haynor, Gang Luo, Nancy E. Lane, Jeffrey G. Jarvik and Nathan M. Cross
      American Journal of Neuroradiology October 2024, 45 (10) 1512-1520; DOI: https://doi.org/10.3174/ajnr.A8343

  9. Leary, Owen P.

    1. Neurodegenerative Disorder Imaging
      MRI-Based Prediction of Clinical Improvement after Ventricular Shunt Placement for Normal Pressure Hydrocephalus: Development and Evaluation of an Integrated Multisequence Machine Learning Algorithm
      Owen P. Leary, Zhusi Zhong, Lulu Bi, Zhicheng Jiao, Yu-Wei Dai, Kevin Ma, Shanzeh Sayied, Daniel Kargilis, Maliha Imami, Lin-Mei Zhao, Xue Feng, Gerald Riccardello, Scott Collins, Konstantina Svokos, Abhay Moghekar, Li Yang, Harrison Bai, Petra M. Klinge and Jerrold L. Boxerman
      American Journal of Neuroradiology October 2024, 45 (10) 1536-1544; DOI: https://doi.org/10.3174/ajnr.A8372

  10. Lehman, Vance T.

    1. EDITOR'S CHOICESpine Imaging and Spine Image-Guided Interventions
      Myelographic Techniques for the Localization of CSF-Venous Fistulas: Updates in 2024
      Ajay A. Madhavan, Waleed Brinjikji, Jeremy K. Cutsforth-Gregory, Timothy J. Amrhein, Peter G. Kranz, John C. Benson, Felix E. Diehn, Ben A. Johnson-Tesch, Greta B. Liebo, Vance T. Lehman, Ian T. Mark, Pearse P. Morris, Michael P. Oien, Darya P. Shlapak and Jared T. Verdoorn
      American Journal of Neuroradiology October 2024, 45 (10) 1403-1412; DOI: https://doi.org/10.3174/ajnr.A8299

      This is an updated comprehensive review of the various myelographic techniques that can be used to identify CSF-venous fistulas. The authors discuss the advantages and disadvantages of each and describe provocative maneuvers that may improve the conspicuity of CVFs.

    2. Neurovascular/Stroke Imaging
      High-Resolution Head CTA: A Prospective Patient Study Comparing Image Quality of Photon-Counting Detector CT and Energy-Integrating Detector CT
      Felix E. Diehn, Zhongxing Zhou, Jamison E. Thorne, Norbert G. Campeau, Alex A. Nagelschneider, Laurence J. Eckel, John C. Benson, Ajay A. Madhavan, Girish Bathla, Vance T. Lehman, Nathan R. Huber, Francis Baffour, Joel G. Fletcher, Cynthia H. McCollough and Lifeng Yu
      American Journal of Neuroradiology October 2024, 45 (10) 1441-1449; DOI: https://doi.org/10.3174/ajnr.A8342
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