Shape matters: unsupervised exploration of IDH-wildtype glioma imaging survival predictors.

ABSTRACT:

Objectives

This study examines clustering based on shape radiomic features and tumor volume to identify IDH-wildtype glioma phenotypes and assess their impact on overall survival (OS).

Materials and methods

This retrospective study included 436 consecutive patients diagnosed with IDH-wt glioma who underwent preoperative MR imaging. Alongside the total tumor volume, nine distinct shape radiomic features were extracted using the PyRadiomics framework. Different imaging phenotypes were identified using partition around medoids (PAM) clustering on the training dataset (348/436). The prognostic efficacy of these phenotypes in predicting OS was evaluated on the test dataset (88/436). External validation was performed using the public UCSF glioma dataset (n = 397). A decision-tree

SUBMITTER: Foltyn-Dumitru M 

PROVIDER: S-EPMC11835892 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature