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Titel:

Multiscale quantification of morphological heterogeneity with creation of a predictor of longer survival in glioblastoma.

Dokumenttyp:
Journal Article; Research Support, Non-U.S. Gov't
Autor(en):
Prokop, Georg; Wiestler, Benedikt; Hieber, Daniel; Withake, Fynn; Mayer, Karoline; Gempt, Jens; Delbridge, Claire; Schmidt-Graf, Friederike; Pfarr, Nicole; Märkl, Bruno; Schlegel, Jürgen; Liesche-Starnecker, Friederike
Abstract:
Intratumor heterogeneity is a main cause of the dismal prognosis of glioblastoma (GBM). Yet, there remains a lack of a uniform assessment of the degree of heterogeneity. With a multiscale approach, we addressed the hypothesis that intratumor heterogeneity exists on different levels comprising traditional regional analyses, but also innovative methods including computer-assisted analysis of tumor morphology combined with epigenomic data. With this aim, 157 biopsies of 37 patients with therapy-nai...     »
Zeitschriftentitel:
Int J Cancer
Jahr:
2023
Band / Volume:
153
Heft / Issue:
9
Seitenangaben Beitrag:
1658-1670
Volltext / DOI:
doi:10.1002/ijc.34665
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/37501565
Print-ISSN:
0020-7136
TUM Einrichtung:
Institut für Allgemeine Pathologie und Pathologische Anatomie (Dr. Mogler komm.); Klinik und Poliklinik für Neurologie (Prof. Hemmer); Professur für AI for Image-Guided Diagnosis and Therapy (Prof. Wiestler); Professur für Neuroradiologie (Prof. Zimmer)
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