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Title:

Imaging the WHO 2021 Brain Tumor Classification: Fully Automated Analysis of Imaging Features of Newly Diagnosed Gliomas.

Document type:
Journal Article
Author(s):
Griessmair, Michael; Delbridge, Claire; Ziegenfeuter, Julian; Bernhardt, Denise; Gempt, Jens; Schmidt-Graf, Friederike; Kertels, Olivia; Thomas, Marie; Meyer, Hanno S; Zimmer, Claus; Meyer, Bernhard; Combs, Stephanie E; Yakushev, Igor; Wiestler, Benedikt; Metz, Marie-Christin
Abstract:
BACKGROUND: The fifth version of the World Health Organization (WHO) classification of tumors of the central nervous system (CNS) in 2021 brought substantial changes. Driven by the enhanced implementation of molecular characterization, some diagnoses were adapted while others were newly introduced. How these changes are reflected in imaging features remains scarcely investigated. MATERIALS AND METHODS: We retrospectively analyzed 226 treatment-naive primary brain tumor patients from our institut...     »
Journal title abbreviation:
Cancers (Basel)
Year:
2023
Journal volume:
15
Journal issue:
8
Fulltext / DOI:
doi:10.3390/cancers15082355
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/37190283
TUM Institution:
Institut für Allgemeine Pathologie und Pathologische Anatomie (Dr. Mogler komm.); Klinik und Poliklinik für Neurochirurgie (Prof. Meyer); Klinik und Poliklinik für Neurologie (Prof. Hemmer); Klinik und Poliklinik für Nuklearmedizin (Prof. Weber); Klinik und Poliklinik für RadioOnkologie und Strahlentherapie (Prof. Combs); Professur für AI for Image-Guided Diagnosis and Therapy (Prof. Wiestler); Professur für Neuroradiologie (Prof. Zimmer)
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