Volumetric assessment of glioblastoma and its predictive value for survival.

Christian HenkerMarie Cristin HiepelThomas KriesenMoritz SchererÄnne GlassChristel Herold-MendeMartin BendszusSönke LangnerMarc-André WeberBjörn SchneiderAndreas UnterbergJürgen Piek

Published in: Acta neurochirurgica (2019)

Our data emphasizes the importance of the necrosis-tumor ratio as a biomarker in glioblastoma imaging, rather than single tumor compartment volumes. NTR can help to identify a subset of tumors with a higher resistance to therapy and a dismal prognosis.

Keyphrases

high resolution
big data
stem cells
machine learning
bone marrow
photodynamic therapy
free survival
deep learning