Meeting Banner
Abstract #2553

Functional MR habitat imaging feature for preoperative prediction of TERT promoter and EGFR gene phenotype in IDH-wildtype glioblastoma

Yan Su1, Dairong Cao2, Dejun She2, Yang Song3, and Guang Yang4
1Department of Radiology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China, 2The First Affiliated Hospital of Fujian Medical University, Fuzhou, China, 3Siemens Healthcare, Shanghai, China, 4East China Normal University, Shanghai, China

Synopsis

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.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.

Keywords