Open Access
CC BY 4.0 · Semin Neurol
DOI: 10.1055/a-2719-5058
Review Article

Imaging in Neuro-oncology

Autor*innen

  • Elizabeth Coffee

    1   Department of Neurology, Memorial Sloan Kettering Cancer Center, New York, New York, United States
    2   Department of Neurology, Weill Cornell Medicine, New York, New York, United States
  • Cleopatra Elshiekh

    3   Immigrant and Cancer Disparities Service, Department of Psychiatry, Memorial Sloan Kettering Cancer Center, New York, New York, United States
  • Joshua A. Budhu

    1   Department of Neurology, Memorial Sloan Kettering Cancer Center, New York, New York, United States
    2   Department of Neurology, Weill Cornell Medicine, New York, New York, United States

Funding Information This research was funded in part through the NIH/NCI Cancer Center Support Grant P30 CA008748 and the K12 CA184746 grant.

Abstract

Brain tumors are a diverse group of neoplasms that vary widely in treatment and prognosis. Imaging serves as the cornerstone of diagnosis, monitoring response to treatment and identifying progression of disease in neuro-oncologic care. This review outlines current and emerging imaging modalities with a focus on clinical application in glioma, meningioma, and brain metastasis. We cover standard imaging modalities, advanced magnetic resonance techniques such as perfusion and spectroscopic imaging, and nuclear imaging with positron emission tomography (PET), including amino acid PET. We summarize the standardized Response Assessment in Neuro-Oncology (RANO) criteria, and explore innovations in radiomics, artificial intelligence, and targeted imaging biomarkers. Finally, we address challenges related to equitable access to advanced imaging. This review provides a practical, clinically focused guide to support neurologists in the imaging-based care of patients with primary or metastatic brain tumors.



Publikationsverlauf

Eingereicht: 07. August 2025

Angenommen: 24. September 2025

Accepted Manuscript online:
13. Oktober 2025

Artikel online veröffentlicht:
30. Oktober 2025

© 2025. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

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