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Abstract #0084

Multiparametric MRI Predicts Longitudinal Changes in Telomerase Activity in Recurrent IDH-Wildtype Glioblastoma

Kyu Sung Choi1, Seong Yun Jeong1, Seung Hong Choi1, Chul-Kee Park2, and Inpyeong Hwang1
1Radiology, Seoul National University Hospital, Seoul, Korea, Republic of, 2Neurosurgery, Seoul National University Hospital, Seoul, Korea, Republic of

Synopsis

Keywords: Tumors (Post-Treatment), Tumors

Motivation: Telomerase activity, crucial in glioblastoma recurrence, is an emerging therapeutic target. Non-invasive prediction methods are needed.

Goal(s): This study aims to predict telomerase activity changes in recurrent IDH-wildtype glioblastoma using multiparametric MRI, focusing on rCBV/ADC ratios.

Approach: In 24 patients, MRI radiomics and habitat analysis of tumor regions were compared with telomerase activity from ELISA, evaluated via logistic regression and AUROC.

Results: Higher rCBV/ADC ratios and increased hypovascularity and T2-FLAIR heterogeneity correlated with reduced telomerase activity (AUROC: 0.847).

Impact: Tumor habitat analysis using multiparametric MRI for noninvasive telomerase activity prediction could inform telomerase-targeted clinical trials in glioblastoma treatment.

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