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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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AJNR Awards, New Junior Editors, and more. Read the latest AJNR updates

MY CONTENT

  • NEUROINTERVENTION
    You have access
    Optimizing Image Quality in Cerebral 3D Rotational Angiography: A Study on the Impact of Voxel Size
    Seongsik Han, Byung Jun Kim, Pae Sun Suh, Hye Hyeon Moon, So-Yeon Kim, Jong-Tae Yoon, Boseong Kwon, Deok Hee Lee and Yunsun Song
    American Journal of Neuroradiology May 2025, DOI: https://doi.org/10.3174/ajnr.A8672
  • NEUROINTERVENTION
    You have access
    Comprehensive Analysis of Neurologic Complications following Transradial Cerebral Angiography
    Hoon Kim, Hyeong Jin Lee, Seon Woong Choi, Sunghan Kim, Seong-Rim Kim and Ik Seong Park
    American Journal of Neuroradiology May 2025, DOI: https://doi.org/10.3174/ajnr.A8625
  • ARTIFICIAL INTELLIGENCE
    You have access
    Ultra-High-Resolution Photon-Counting-Detector CT with a Dedicated Denoising Convolutional Neural Network for Enhanced Temporal Bone Imaging
    Shaojie Chang, John C. Benson, John I. Lane, Michael R. Bruesewitz, Joseph R. Swicklik, Jamison E. Thorne, Emily K. Koons, Matthew L. Carlson, Cynthia H. McCollough and Shuai Leng
    American Journal of Neuroradiology May 2025, DOI: https://doi.org/10.3174/ajnr.A8572
  • Brain Tumor Imaging
    You have access
    Diagnostic Performance of Fast Brain MRI Compared with Routine Clinical MRI in Patients with Glioma Grades 3 and 4: A Pilot Study
    Francesca De Luca, Annika Suneson, Annika Kits, Emilia Palmér, Stefan Skare and Anna Falk Delgado
    American Journal of Neuroradiology May 2025, 46 (5) 983-989; DOI: https://doi.org/10.3174/ajnr.A8558
  • Artificial Intelligence
    You have access
    Empowering Data Sharing in Neuroscience: A Deep Learning Deidentification Method for Pediatric Brain MRIs
    Ariana M. Familiar, Neda Khalili, Nastaran Khalili, Cassidy Schuman, Evan Grove, Karthik Viswanathan, Jakob Seidlitz, Aaron Alexander-Bloch, Anna Zapaishchykova, Benjamin H. Kann, Arastoo Vossough, Phillip B. Storm, Adam C. Resnick, Anahita Fathi Kazerooni and Ali Nabavizadeh
    American Journal of Neuroradiology May 2025, 46 (5) 964-972; DOI: https://doi.org/10.3174/ajnr.A8581
  • Artificial Intelligence
    You have access
    Accuracy of an nnUNet Neural Network for the Automatic Segmentation of Intracranial Aneurysms, Their Parent Vessels, and Major Cerebral Arteries from MRI-TOF
    Elisa Colombo, Mathijs de Boer, Lambertus Bartels, Luca Regli and Tristan van Doormaal
    American Journal of Neuroradiology May 2025, 46 (5) 956-963; DOI: https://doi.org/10.3174/ajnr.A8607
  • EDITOR'S CHOICENeurovascular/Stroke Imaging
    You have access
    A Comparative Study of CT Perfusion Postprocessing Tools in Medium/Distal Vessel Occlusion Stroke
    Helene Corbaz, Nikolaos Ntoulias, Alex Brehm, Julia Wolleb, Philippe Claude Cattin, Florentin Bieder, Victor Schulze-Zachau and Marios-Nikos Psychogios
    American Journal of Neuroradiology May 2025, 46 (5) 900-907; DOI: https://doi.org/10.3174/ajnr.A8616

    This retrospective single-center cohort study investigated the discrepancy of 2 widely used postprocessing tools (Syngo.via and RapidAI) for CTP in patients with medium/distal vessel occlusion (MDVO) stroke. The 2 postprocessing tools were discordant on the volume and the location of perfusion deficit in isolated MDVO as well as the volume of potentially salvageable penumbra. As such, this questions whether infarct core size or penumbra volume should routinely be used to identify candidates for MDVO thrombectomy.

  • EDITOR'S CHOICEBrain Tumor Imaging
    You have access
    Development and Evaluation of Automated Artificial Intelligence–Based Brain Tumor Response Assessment in Patients with Glioblastoma
    Jikai Zhang, Dominic LaBella, Dylan Zhang, Jessica L. Houk, Jeffrey D. Rudie, Haotian Zou, Pranav Warman, Maciej A. Mazurowski and Evan Calabrese
    American Journal of Neuroradiology May 2025, 46 (5) 990-998; DOI: https://doi.org/10.3174/ajnr.A8580

    The goal of this study was to compare AI-based volumetric GBM MRI response assessment with standardized radiologist response assessments. The AI-based volumetric response assessment yielded overall moderate performance for recapitulating most human response assessment categories (BT-RADS 1, 2, and 4) but demonstrated the lowest performance for predicting BT-RADS 3, which is likely related to the high variability of this assessment. In comparison to radiologist assessment, the AI-based volumetric GBM MRI response assessment showed comparable performance for overall survival.

  • Neurodegenerative Disorder Imaging
    You have access
    Deep Learning–Based Algorithm for Automatic Quantification of Nigrosome-1 and Parkinsonism Classification Using Susceptibility Map–Weighted MRI
    Pae Sun Suh, Hwan Heo, Chong Hyun Suh, MyeongOh Lee, Soohwa Song, Donghoon Shin, Sungyang Jo, Sun Ju Chung, Hwon Heo, Woo Hyun Shim, Ho Sung Kim, Sang Joon Kim and Eung Yeop Kim
    American Journal of Neuroradiology May 2025, 46 (5) 999-1006; DOI: https://doi.org/10.3174/ajnr.A8585
  • ARTIFICIAL INTELLIGENCE
    You have access
    Enhancing Lesion Detection in Inflammatory Myelopathies: A Deep Learning–Reconstructed Double Inversion Recovery MRI Approach
    Qiang Fang, Qing Yang, Bao Wang, Bing Wen, Guangrun Xu and Jingzhen He
    American Journal of Neuroradiology May 2025, DOI: https://doi.org/10.3174/ajnr.A8582

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