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Index by author

February 01, 2024; Volume 45,Issue 2

  1. Rao, Dinesh

    1. FELLOWS' JOURNAL CLUBBrain Tumor Imaging
      Open Access
      Newly Recognized Genetic Tumor Syndromes of the CNS in the 5th WHO Classification: Imaging Overview with Genetic Updates
      Amit Agarwal, Girish Bathla, Neetu Soni, Amit Desai, Pranav Ajmera, Dinesh Rao, Vivek Gupta and Prasanna Vibhute
      American Journal of Neuroradiology February 2024, 45 (2) 128-138; DOI: https://doi.org/10.3174/ajnr.A8039

      In this review of the new 5th edition of the WHO classification, the authors focus on imaging and genetic characteristics of 8 new syndromes: Elongator protein complex-medulloblastoma syndrome, BRCA1-associated protein 1 tumor-predisposition syndrome, DICER1 syndrome, familial paraganglioma syndrome, melanoma-astrocytoma syndrome, Carney complex, Fanconi anemia, and familial retinoblastoma.

  2. Raymond, Catalina

    1. EDITOR'S CHOICEBrain Tumor Imaging
      Quantification of T2-FLAIR Mismatch in Nonenhancing Diffuse Gliomas Using Digital Subtraction
      Nicholas S. Cho, Francesco Sanvito, Viên Lam Le, Sonoko Oshima, Ashley Teraishi, Jingwen Yao, Donatello Telesca, Catalina Raymond, Whitney B. Pope, Phioanh L. Nghiemphu, Albert Lai, Timothy F. Cloughesy, Noriko Salamon and Benjamin M. Ellingson
      American Journal of Neuroradiology February 2024, 45 (2) 188-197; DOI: https://doi.org/10.3174/ajnr.A8094

      The T2-FLAIR mismatch sign on MR imaging, usually determined by visual assessment, is a highly specific imaging biomarker of IDH-mutant astrocytomas. The authors of this study quantified the degree of T2-FLAIR mismatch in nonenhancing diffuse gliomas. Thresholds of ≥42% T2-FLAIR mismatch volume classified IDH-mutant astrocytoma with a specificity/sensitivity of 100%/19.6% (TCIA) and 100%/31.6% (institutional). They also found that grades 3–4 compared with grade 2 IDH-mutant astrocytomas (P<.05) had a higher percentage T2-FLAIR mismatch volume.

  3. Riascos, Roy

    1. Editorial
      Striking a Balance: Global Perspectives on Neuroradiology Workload and Quality of Service
      Max Wintermark, Kei Yamada, Tchoyoson Lim, Roy Riascos, Carlos Torres and Tarek Yousry
      American Journal of Neuroradiology February 2024, 45 (2) 127; DOI: https://doi.org/10.3174/ajnr.A8125

  4. Risch, Franka

    1. FELLOWS' JOURNAL CLUBNeurointervention
      Discrimination of Hemorrhage and Contrast Media in a Head Phantom on Photon-Counting Detector CT Data
      Franka Risch, Ansgar Berlis, Thomas Kroencke, Florian Schwarz and Christoph J. Maurer
      American Journal of Neuroradiology February 2024, 45 (2) 183-187; DOI: https://doi.org/10.3174/ajnr.A8093

      Photon-counting detector CT acquires spectral information that allows for material differentiation. CT scan can be separated into the attenuation resulting from remaining iodine and soft tissue, generating contrast media maps and virtual noncontrast series. In this study, the authors demonstrated that PCD-CT can reliably differentiate between blood and iodine and accurately determine several iodine concentrations in an anthropomorphic head phantom.

  5. Roychaudhuri, Sriya

    1. Pediatric Neuroimaging
      White Matter Injury on Early-versus-Term-Equivalent Age Brain MRI in Infants Born Preterm
      Sriya Roychaudhuri, Gabriel Côté-Corriveau, Carmina Erdei and Terrie E. Inder
      American Journal of Neuroradiology February 2024, 45 (2) 224-228; DOI: https://doi.org/10.3174/ajnr.A8105

  6. Russ, Jeffrey B.

    1. FELLOWS' JOURNAL CLUBPediatric Neuroimaging
      Clinical and Imaging Findings in Children with Myelin Oligodendrocyte Glycoprotein Antibody Associated Disease (MOGAD): From Presentation to Relapse
      Elizabeth George, Jeffrey B. Russ, Alexandria Validrighi, Heather Early, Mark D. Mamlouk, Orit A. Glenn, Carla M. Francisco, Emmanuelle Waubant, Camilla Lindan and Yi Li
      American Journal of Neuroradiology February 2024, 45 (2) 229-235; DOI: https://doi.org/10.3174/ajnr.A8089

      This study characterizes the CNS imaging manifestations of pediatric MOGAD. The authors also identify the clinical and imaging variables associated with relapse. There is an age-dependent imaging phenotype at presentation and first relapse, and older age at presentation is associated with shorter time to relapse.

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