The value of DCE-MRI and IVIM in predicting TERTp mutation status in glioblastoma

Motivation: This study aims to predict the TERTp mutation status noninvasively before surgery, which is crucial for determining treatment strategies and prognosis in GBM patients. Goal(s): Investigate the predictive value of DCE-MRI and IVIM for TERTp mutation status in GBM patients. Approach: 68 GBM patients were enrolled according to the 2021 WHO classification, and divided into TERTp mutant group and TERTp wild group. Compare DCE-MRI and IVIM parameters between the two groups. Results: The DCE-MRI parameter Vp was significantly higher in the TERTp mutation group (AUC=0.708), indicating its potential as a predictor for TERTp mutation status. Impact: This study suggests that Vp, a DCE-MRI parameter, can predict TERTp mutation status noninvasively. This has important implications for targeted therapy and prognosis prediction in GBM patients.