Clinical implementation of integrated molecular-morphologic risk prediction for meningioma.

ABSTRACT: Risk prediction for meningioma tumors was until recently almost exclusively based on morphological features of the tumor. To improve risk prediction, multiple models have been established that incorporate morphological and molecular features for an integrated risk prediction score. One such model is the integrated molecular-morphologic meningioma integrated score (IntS), which allocates points to the histological grade, epigenetic methylation family and specific copy-number variations. After publication of the IntS, questions arose in the neuropathological community about the practical and clinical implementation of the IntS, specifically regarding the calling of CNVs, the applicability of the newly available version (v12.5) of the brain tumor classifier and the need for incorporation of T

SUBMITTER: Hielscher T 

PROVIDER: S-EPMC10154374 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature