Imaging features associated with H3 K27-altered and H3 G34-mutant gliomas: a narrative systematic review.

Arian LasockiGehad AbdallaGeoffrey ChowStefanie C Thust

Published in: Cancer imaging : the official publication of the International Cancer Imaging Society (2022)

The existing data are limited, especially for H3 G34-mutant gliomas and artificial intelligence techniques. Current evidence indicates that imaging-based predictions of HAG are insufficient to replace histological assessment. In particular, H3 K27-altered gliomas should be considered when occurring in typical midline locations irrespective of enhancement characteristics.

Keyphrases

artificial intelligence
high grade
systematic review
big data
high resolution
machine learning
deep learning
meta analyses
randomized controlled trial
wild type
fluorescence imaging
photodynamic therapy