Multisequence magnetic resonance imaging habitat analysis for pre-operative meningioma grade prediction.

ABSTRACT:

Background

Accurate grading of meningiomas is crucial for patient prognostication and management. Intratumoral heterogeneity may lead to differences in the biological and radiological properties observed within different tumor subregions. This study aimed to represent the spatial distributions and local patterns of tumor heterogeneity in meningiomas using non-invasive habitat analysis on filtered multisequence magnetic resonance imaging (MRI) and evaluate the utility of integrated models combining habitat and clinical data for meningioma grade prediction.

Methods

Sixty patients with pathologically confirmed meningiomas [30 World Health Organization (WHO) grade 1, 28 grade 2, 2 grade 3] were retrospectively included in this cross-sectional study. Pre-operative T2-weighted (T2

SUBMITTER: Cai Z 

PROVIDER: S-EPMC12397627 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature