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American Journal of Neuroradiology
American Journal of Neuroradiology

American Journal of Neuroradiology

ASHNR American Society of Functional Neuroradiology ASHNR American Society of Pediatric Neuroradiology ASSR
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Welcome to the new AJNR, Updated Hall of Fame, and more. Read the full announcements.


AJNR is seeking candidates for the position of Associate Section Editor, AJNR Case Collection. Read the full announcement.

 

  • Getting new auth cookie, if you see this message a lot, tell someone!
  • Getting new auth cookie, if you see this message a lot, tell someone!

MY CONTENT

  • Neurovascular/Stroke Imaging
    You have access
    Hypoperfusion Intensity Ratio and Hemorrhagic Transformation in Patients with Successful Recanalization after Thrombectomy
    Jiaxiang You, Xiaoxi Li, Jun Xia, Haopeng Li and Jun Wang
    American Journal of Neuroradiology October 2024, 45 (10) 1475-1481; DOI: https://doi.org/10.3174/ajnr.A8329
  • EDITOR'S CHOICENeurointervention
    You have access
    Influence of Stroke-Onset Location on the Efficacy of Endovascular Thrombectomy: Comparison of Outcomes between In-Hospital versus Community-Onset Strokes
    Paulo Puac-Polanco, Shanelle Subasinghe, Nima Omid-Fard, Liying Zhang, Eduardo Portela de Oliveira, Vered Tsehmaister-Abitbul, Santanu Chakraborty, Carlos Torres, Robert Fahed, Dar Dowlatshahi and Richard I. Aviv
    American Journal of Neuroradiology October 2024, 45 (10) 1482-1487; DOI: https://doi.org/10.3174/ajnr.A8362

    This study compared clinical outcomes in in-hospital strokes versus community-onset strokes in patients treated with endovascular thrombectomy for large-vessel occlusion. In-hospital strokes had overall faster time metrics from stroke onset to reperfusion. However, the rate of successful reperfusion and safety outcomes (in-hospital mortality and parenchymal hematoma) did not differ between the groups. Ninety-day mRS was also similar in both groups.

  • Artificial Intelligence
    You have access
    Toward Improved Radiologic Diagnostics: Investigating the Utility and Limitations of GPT-3.5 Turbo and GPT-4 with Quiz Cases
    Tomohiro Kikuchi, Takahiro Nakao, Yuta Nakamura, Shouhei Hanaoka, Harushi Mori and Takeharu Yoshikawa
    American Journal of Neuroradiology October 2024, 45 (10) 1506-1511; DOI: https://doi.org/10.3174/ajnr.A8332
  • Artificial Intelligence
    You have access
    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
  • Artificial Intelligence
    You have access
    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
  • EDITOR'S CHOICEEmergency Neuroradiology
    You have access
    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.

  • Neurodegenerative Disorder Imaging
    You have access
    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
  • Brain Tumor Imaging
    You have access
    Identification of a Single-Dose, Low-Flip-Angle–Based CBV Threshold for Fractional Tumor Burden Mapping in Recurrent Glioblastoma
    Aliya Anil, Ashley M. Stokes, John P. Karis, Laura C. Bell, Jennifer Eschbacher, Kristofer Jennings, Melissa A. Prah, Leland S. Hu, Jerrold L. Boxerman, Kathleen M. Schmainda and C. Chad Quarles
    American Journal of Neuroradiology October 2024, 45 (10) 1545-1551; DOI: https://doi.org/10.3174/ajnr.A8357
  • Neuroimaging Physics/Functional Neuroimaging/CT and MRI Technology
    You have access
    Whole-Brain Vascular Architecture Mapping Identifies Region-Specific Microvascular Profiles In Vivo
    Anja Hohmann, Ke Zhang, Christoph M. Mooshage, Johann M.E. Jende, Lukas T. Rotkopf, Heinz-Peter Schlemmer, Martin Bendszus, Wolfgang Wick and Felix T. Kurz
    American Journal of Neuroradiology September 2024, 45 (9) 1346-1354; DOI: https://doi.org/10.3174/ajnr.A8344
  • FELLOWS' JOURNAL CLUBUltra-High-Field MRI/Imaging of Epilepsy/Demyelinating Diseases/Inflammation/Infection
    You have access
    Radiologic Classification of Hippocampal Sclerosis in Epilepsy
    Erik H. Middlebrooks, Vivek Gupta, Amit K. Agarwal, Brin E. Freund, Steven A. Messina, William O. Tatum, David S. Sabsevitz, Anteneh M. Feyissa, Seyed M. Mirsattari, Fernando N. Galan, Alfredo Quinones-Hinojosa, Sanjeet S. Grewal and John V. Murray
    American Journal of Neuroradiology September 2024, 45 (9) 1185-1193; DOI: https://doi.org/10.3174/ajnr.A8214

    This review explores how the International League Against Epilepsy (ILAE) subtypes of hippocampal sclerosis correlate with MRI findings. Hippocampal anatomy is reviewed in detail. The pathophysiology of hippocampal sclerosis is discussed. A radiologic classification scheme is proposed that aligns with the ILAE pathology classification, aiming to improve clinical communication and decision-making.

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