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Abstract #1077

3D MR Elastography-based Stiffness as a Marker for Predicting Hepatocellular Carcinoma Refractory to Transarterial Chemoembolization

Yu Wang1, Jinhui Zhou1, Ying Zeng1, Zebin Fang1, Siyu Ouyang1, Jun Chen2, Meng Yin2, Kevin J. Glaser2, Richard L. Ehman2, and Jin Wang1
1Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University (SYSU), GuangZhou, China, 2Department of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, Rochester, MN, United States

Synopsis

Keywords: Treatment Response, Elastography

Motivation: HCC exhibits diverse responses to TACE due to tumor heterogeneity. It has been previously demonstrated that MRE-based stiffness is promising in prediction of the treatment outcomes of HCC.

Goal(s): To evaluate the value of 3D MRE-based stiffness preoperatively for predicting HCC refractory to TACE.

Approach: We assessed the clinical-radiological features and stiffness of MRE, developed a model for predicting TACE refractoriness in training cohorts, and validated its performance in validation cohort.

Results: 3D MRE-based tumor stiffness is an independent predictor for predicting TACE refractoriness. The model based on tumor stiffness achieved AUCs of 0.887 and 0.833 in the training and validation cohorts.

Impact: 3D MRE-based tumor stiffness is a promising biomarker for predicting TACE refractory HCC. The MRE-based model might be a useful tool for evaluating TACE refractory HCC.

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