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Index by author

May 01, 2025; Volume 46,Issue 5

  1. Rai, Ansaar T.

    1. Neurointervention
      The Cortical Vein Opacification Score (COVES) Is Independently Associated with DSA ASITN Collateral Score
      Dhairya A. Lakhani, Aneri B. Balar, Subtain Ali, Musharaf Khan, Hamza Salim, Manisha Koneru, Sijin Wen, Richard Wang, Janet Mei, Argye E. Hillis, Jeremy J. Heit, Greg W. Albers, Adam A. Dmytriw, Tobias D. Faizy, Max Wintermark, Kambiz Nael, Ansaar T. Rai and Vivek S. Yedavalli
      American Journal of Neuroradiology May 2025, 46 (5) 921-928; DOI: https://doi.org/10.3174/ajnr.A8601

  2. Rao, Dinesh

    1. FELLOWS' JOURNAL CLUBHead and Neck Imaging
      Comprehensive Review of Inner Ear Anatomy on Photon-Counting CT
      Dinesh Rao, John V. Murray, Amit K. Agarwal, Sukhwinder Johnny Sandhu and Pat A. Rhyner
      American Journal of Neuroradiology May 2025, 46 (5) 862-867; DOI: https://doi.org/10.3174/ajnr.A8410

      Compared to traditional energy-integrating CT detectors, photon-counting CT allows greater spatial and contrast resolution of small channels containing nerves, arteries, and normal anatomy such as the cochlear cleft and cochlear and vestibular aqueducts. This review article updates the existing literature by redefining these structures in greater resolution.

  3. Regli, Luca

    1. Artificial Intelligence
      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

  4. Resnick, Adam C.

    1. Artificial Intelligence
      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

  5. Rhyner, Pat A.

    1. FELLOWS' JOURNAL CLUBHead and Neck Imaging
      Comprehensive Review of Inner Ear Anatomy on Photon-Counting CT
      Dinesh Rao, John V. Murray, Amit K. Agarwal, Sukhwinder Johnny Sandhu and Pat A. Rhyner
      American Journal of Neuroradiology May 2025, 46 (5) 862-867; DOI: https://doi.org/10.3174/ajnr.A8410

      Compared to traditional energy-integrating CT detectors, photon-counting CT allows greater spatial and contrast resolution of small channels containing nerves, arteries, and normal anatomy such as the cochlear cleft and cochlear and vestibular aqueducts. This review article updates the existing literature by redefining these structures in greater resolution.

  6. Rudie, Jeffrey D.

    1. EDITOR'S CHOICEBrain Tumor Imaging
      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.

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