Local detection of microvessels in IDH-wildtype glioblastoma using relative cerebral blood volume: an imaging marker useful for astrocytoma grade 4 classification.

María Del Mar Álvarez-TorresElies Fuster-GarcíaJavier Juan-AlbarracínGaspar ReynésFernando Aparici-RoblesJaime Ferrer-LozanoJuan Miguel García-Gómez

Published in: BMC cancer (2022)

The proposed rCBV marker, calculated from diagnostic MRIs, can detect in IDH-wildtype glioblastoma those regions with microvessels from those without it, and it is significantly correlated with local microvessels area. In addition, the proposed rCBV marker can differentiate the IDH mutation status, providing a complementary non-invasive method for high-grade glioma classification.

Keyphrases

low grade
high grade
machine learning
deep learning
wild type
high resolution
subarachnoid hemorrhage
brain injury
mass spectrometry
photodynamic therapy