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Abstract #3704

MR-based radiomics-clinical nomogram in epithelial ovarian tumor prognosis prediction: a comparison of effectiveness of multiple MR sequences

Haijie Wang1, Yida Wang1, Tianping Wang2, Xuefen Liu2, Lei Ling2, Guofu Zhang2, He Zhang2, and Guang Yang1
1Shanghai key lab of magnetic resonance, East China Normal University, Shanghai, China, 2Department of Radiology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China


To compare radiomics-clinical nomograms based on various sequence MR images in predicting epithelial ovarian tumor prognosis status. A total of 186 patients with epithelial ovarian cancer pathologically proven by invasive procedure were enrolled. The single-sequence and paired-sequence radiomics signatures were constructed for T2W, T1W, DWI and CE-T1W images. And the T2W radiomic-clinical nomogram achieved a favorable prediction performance in the validation cohort with an AUC of 0.818. And it was also found the T2W radiomic-clinical nomogram was better than other models with a greater clinical net benefit.

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