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Abstract #3003

Radiomics Based on MR Imaging of Rectal Mucinous Adenocarcinoma: Assess Treatment Response to Neoadjuvant Chemoradiotherapy

Fu Shen1, Minglu Liu1, Zhihui Li1, Xiaolu Ma1, Jianping Lu1, and Yuwei Xia2
1Changhai Hospital, Shanghai, China, 2Huiying Medical Technology Co., Ltd., Beijing, China

The goal of this study was to investigate the value of high resolution T2-weighted–based radiomics in prediction of treatment response to neoadjuvant chemoradiotherapy (nCRT) in patients with rectal mucinous adenocarcinoma (RMAC). The result demonstrated that the MRI based radiomics machine learning model could assess tumoral treatment response to nCRT in patients with RMAC.

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