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AJNR at ASNR25 | Join us at BOOTH 312 and more. Check out our schedule

More articles from Brain Tumor Imaging

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    Evaluation of Vestibular Schwannoma Size across Time: How Well Do the Experts Perform and What Can be Improved?
    Girish Bathla, Parv M. Mehta, Neetu Soni, Mathew Johnson, John C. Benson, Steven A. Messina, Paul Farnsworth, Amit Agarwal, Matthew L. Carlson and John I. Lane
    American Journal of Neuroradiology May 2025, DOI: https://doi.org/10.3174/ajnr.A8614
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    Diagnostic Confidence of Contrast-Enhanced T1-Weighted MRI for the Detection of Brain Metastases: 3D FSE versus 3D GRE–Based Sequences
    Maria Gule-Monroe, Nathan Chasen, James P. Long, Vinodh A. Kumar, Komal Shah, Melissa Chen, Jason Stafford, Caroline Chung, Max Wintermark, Ping Hou, Ekta Sura, Chenyang Wang, Jeffrey Weinberg and Ho-Ling Liu
    American Journal of Neuroradiology May 2025, DOI: https://doi.org/10.3174/ajnr.A8590
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    Mesenchymal Nonmeningothelial Tumors of the CNS: Evolving Molecular Landscape and Implications for Neuroradiologists
    Neetu Soni, Manish Ora, Denes Szekeres, Girish Bathla, Amit Desai, Vivek Gupta, Aparna Singhal and Amit Agarwal
    American Journal of Neuroradiology May 2025, 46 (5) 868-878; DOI: https://doi.org/10.3174/ajnr.A8519
  • EDITOR'S CHOICEBrain Tumor Imaging
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    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.

  • Brain Tumor Imaging
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    Repeatability and Reproducibility of Pseudocontinuous Arterial Spin-Labeling–Measured Brain Perfusion in Healthy Volunteers and Patients with Glioblastoma
    Limin Zhou, Durga Udayakumar, Yiming Wang, Marco C. Pinho, Benjamin C. Wagner, Michael Youssef, Joseph A. Maldjian and Ananth J. Madhuranthakam
    American Journal of Neuroradiology May 2025, 46 (5) 973-982; DOI: https://doi.org/10.3174/ajnr.A8551
  • Brain Tumor Imaging
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    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
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    Light-Chain Deposition Diseases of the CNS: Review of Pathogenesis, Imaging Features, and Radiographic Mimics
    Pranjal Rai, Neetu Soni, Girish Bathla, Karuna Raj, Amit Desai, Vivek Gupta and Amit Agarwal
    American Journal of Neuroradiology April 2025, 46 (4) 659-665; DOI: https://doi.org/10.3174/ajnr.A8390
  • FELLOWS' JOURNAL CLUBBrain Tumor Imaging
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    Laser Interstitial Thermal Therapy for Intra-Axial Brain Tumors: Everything the Neuroradiologist Should Know
    Anneliese F. Rademacher, Hassan A. Fadel, Jacob A. Pawloski, Mia Ma, Ken N. Nkongchu, Ian Y. Lee and Arafat Y. Ali
    American Journal of Neuroradiology April 2025, 46 (4) 666-674; DOI: https://doi.org/10.3174/ajnr.A8427

    This is a comprehensive overview of the indications, mechanisms of action, and radiologic assessments of laser interstitial thermal therapy (LITT), which delivers targeted cytotoxic thermal injury to intra-axial pathologies.

  • EDITOR'S CHOICEBrain Tumor Imaging
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    Multisite Benchmark Study for Standardized Relative CBV in Untreated Brain Metastases Using the DSC-MRI Consensus Acquisition Protocol
    Sarah Kohn Loizzo, Melissa A. Prah, Min J. Kong, Daniel Phung, Javier C. Urcuyo, Jason Ye, Frank J. Attenello, Jesse Mendoza, Yuxiang Zhou, Mark S. Shiroishi, Leland S. Hu and Kathleen M. Schmainda
    American Journal of Neuroradiology March 2025, 46 (3) 529-535; DOI: https://doi.org/10.3174/ajnr.A8531

    This multisite study found that the consensus DSC-MRI acquisition protocol confirmed the utility of standardized rCBV (srCBV) to identify biologically active, treatment-naïve brain metastases as distinguished from normal-appearing white matter and GBM. The data demonstrated that brain metastases of different primary origins have srCBV values that in general are significantly greater than normal-appearing white matter but significantly lower than srCBV for GBM.

  • Brain Tumor Imaging
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    Meningioma: Molecular Updates from the 2021 World Health Organization Classification of CNS Tumors and Imaging Correlates
    Neetu Soni, Manish Ora, Girish Bathla, Denes Szekeres, Amit Desai, Jay J. Pillai and Amit Agarwal
    American Journal of Neuroradiology February 2025, 46 (2) 240-250; DOI: https://doi.org/10.3174/ajnr.A8368

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