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Abstract #3863

Prediction of ATRX Gene Status in IDH-mutant grade 2/3 Gliomas by ADC and APT Histogram Analysis

Xia Zou1, Xinran Yan1, Yuxin Li1, Yaoming Qu1, Andong Ma1, Haitao Wen1, Yongzhou Xu2, and Zhibo Wen1
1Department of Radiology, Zhujiang Hospital of Southern Medical University, Guangzhou, China, 2Philips Healthcare, Guangzhou, China

Synopsis

Keywords: Tumors (Pre-Treatment), Tumor, Glioma; Amide proton transfer imaging; apparent diffusion coefficient; Gene

Motivation: To the best of our knowledge, no study has explored the predictive ability of APT for ATRX mutations in gliomas.

Goal(s): Investigating APT and ADC's predictive capacities for ATRX mutations in WHO grade 2/3 gliomas with IDH mutations, we conducted a retrospective analysis.

Approach: We retrospectively analyzed data from these patients and extracted features for modeling.

Results: The results revealed the APT-median became the key diagnostic parameter, and the model developed showed the highest diagnostic efficiency. The histogram analysis method based on APT and ADC is an effective non-invasive tool for predicting ATRX gene status.

Impact: Our study, to our knowledge, pioneered the use of APT in predicting ATRX mutations in gliomas and established histogram analysis of APT and ADC as an effective non-invasive tool for ATRX gene prediction in IDH mutant WHO grade 2/3 gliomas.

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