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Index by author

October 01, 2024; Volume 45,Issue 10

  1. Luo, Gang

    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

  2. Lutzen, N.

    1. Ultra-High-Field MRI/Imaging of Epilepsy/Demyelinating Diseases/Inflammation/Infection
      Different Glymphatic Kinetics in Spontaneous Intracranial Hypotension
      H. Urbach, I.E. Duman Kavus, C. Zander, L. Becker, E. Kellner, M. Reisert, A. El Rahal, F. Volz, K. Wolf, J. Beck, A. Rau and N. Lützen
      American Journal of Neuroradiology October 2024, 45 (10) 1605-1612; DOI: https://doi.org/10.3174/ajnr.A8365

  3. Ma, Kevin

    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

  4. Macdonald, Ashley L.

    1. EDITOR'S CHOICEEmergency Neuroradiology
      Evaluation of an Artificial Intelligence Model for Identification of Mass Effect and Vasogenic Edema on CT of the Head
      Isabella Newbury-Chaet, Sarah F. Mercaldo, John K. Chin, Ankita Ghatak, Madeleine A. Halle, Ashley L. MacDonald, Karen Buch, John Conklin, William A. Mehan, Stuart Pomerantz, Sandra Rincon, Keith J. Dreyer, Bernardo C. Bizzo and James M. Hillis
      American Journal of Neuroradiology October 2024, 45 (10) 1528-1535; DOI: https://doi.org/10.3174/ajnr.A8358

      This study compared the accuracy of a stand-alone AI model with consensus neuroradiologists’ interpretations in detecting mass effect and vasogenic edema on CT of the head. The ability to identify these findings could assist the clinical workflow through prioritizing the interpretation of abnormal cases.

  5. Madhavan, Ajay A.

    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. FELLOWS' JOURNAL CLUBHead and Neck Imaging
      Open Access
      Skull Base CSF Leaks: Potential Underlying Pathophysiology and Evaluation of Brain MR Imaging Findings Associated with Spontaneous Intracranial Hypotension
      Ian T. Mark, Jeremy Cutsforth-Gregory, Patrick Luetmer, Ajay A. Madhavan, Michael Oien, Paul Farnsworth, Girish Bathla, Steve Messina, Michael Link and Jamie Van Gompel
      American Journal of Neuroradiology October 2024, 45 (10) 1593-1596; DOI: https://doi.org/10.3174/ajnr.A8333

      The purpose of this study was to use a validated brain MRI scoring system (Bern score) to evaluate patients with confirmed skull base CSF leaks for findings associated with SIH. The authors found that patients with skull base CSF leaks did not have brain MRI findings that are associated with SIH and likely have distinct pathophysiology from spinal CSF leaks.

    3. 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
    4. Neurovascular/Stroke Imaging
      Optimizing Photon-Counting Detector CT for Imaging Intracranial Aneurysms
      Kishore Rajendran and Ajay A. Madhavan
      American Journal of Neuroradiology October 2024, 45 (10) 1458-1460; DOI: https://doi.org/10.3174/ajnr.A8400

  6. Madjidyar, Jawid

    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

  7. Malik, Prateek

    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

  8. Mankad, Kshitij

    1. Pediatric Neuroimaging
      Sotos Syndrome: Deep Neuroimaging Phenotyping Reveals a High Prevalence of Malformations of Cortical Development
      Bar Neeman, Sniya Sudhakar, Asthik Biswas, Jessica Rosenblum, Jai Sidpra, Felice D’Arco, Ulrike Löbel, Marta Gómez-Chiari, Mercedes Serrano, Mercè Bolasell, Kartik Reddy, Liat Ben-Sira, Reem Zakzouk, Amal Al-Hashem, David M. Mirsky, Rajan Patel, Rupa Radhakrishnan, Karuna Shekdar, Matthew T. Whitehead and Kshitij Mankad
      American Journal of Neuroradiology October 2024, 45 (10) 1570-1577; DOI: https://doi.org/10.3174/ajnr.A8364

  9. Mark, Ian 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. FELLOWS' JOURNAL CLUBHead and Neck Imaging
      Open Access
      Skull Base CSF Leaks: Potential Underlying Pathophysiology and Evaluation of Brain MR Imaging Findings Associated with Spontaneous Intracranial Hypotension
      Ian T. Mark, Jeremy Cutsforth-Gregory, Patrick Luetmer, Ajay A. Madhavan, Michael Oien, Paul Farnsworth, Girish Bathla, Steve Messina, Michael Link and Jamie Van Gompel
      American Journal of Neuroradiology October 2024, 45 (10) 1593-1596; DOI: https://doi.org/10.3174/ajnr.A8333

      The purpose of this study was to use a validated brain MRI scoring system (Bern score) to evaluate patients with confirmed skull base CSF leaks for findings associated with SIH. The authors found that patients with skull base CSF leaks did not have brain MRI findings that are associated with SIH and likely have distinct pathophysiology from spinal CSF leaks.

  10. Matheus, M. Gisele

    1. Neurovascular/Stroke Imaging
      Neurovascular Imaging with Ultra-High-Resolution Photon-Counting CT: Preliminary Findings on Image-Quality Evaluation
      Adrienn Tóth, Justin A. Chetta, Milad Yazdani, M. Gisele Matheus, Jim O‘Doherty, Sameer V. Tipnis and M. Vittoria Spampinato
      American Journal of Neuroradiology October 2024, 45 (10) 1450-1457; DOI: https://doi.org/10.3174/ajnr.A8350
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