Keywords: Tumors (Pre-Treatment), Nervous system
Motivation: The 2021 WHO classification has identified the important role of molecular phenotypes in the outcomes of newly diagnosed glioblastoma. The habitat imaging plays a vital role in predicting molecular status of glioblastoma.
Goal(s): To explore the value of the MR habitat imaging model in predicting the TERT and EGFR phenotype in glioblastoma.
Approach: Glioblastoma was split automatically into several habitat subregions. TERT and EGFR phenotype prediction models were constructed using the RF.
Results: The AUC of the training, test and validation sets of the TERT and EGFR prediction model were 0.877, 0.783, 0.796, and 0.877, 0.784, 0.878, respectively.
Impact: The habitat imaging model based on functional MR were helpful for accurately predicting TERT and EGFR molecular status of tumors.
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