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Titel:

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

Dokumenttyp:
Journal Article
Autor(en):
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...     »
Zeitschriftentitel:
Cancers (Basel)
Jahr:
2023
Band / Volume:
15
Heft / Issue:
8
Volltext / DOI:
doi:10.3390/cancers15082355
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/37190283
TUM Einrichtung:
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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