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Abstract #1722

Validation of Radiomics Signature for Chemoradiotherapy Prediction of Advanced Cervical Cancer Based on a High Resolution T2WI Images

Defeng Liu1, Qinglei Shi2, Xu Yan2, Lanxiang Liu1, Yujie Cui1, Xiaohang Zhang3, and Juan Du4

1Qinhuangdao Municipal No. 1 Hospital, Qinhuangdao, China, 2MR Scientific Marketing, Siemens Healthcare, Qinhuangdao, China, 3University of Chinese Academy of Sciences, Beijing, China, 4Graduate School of Hebei Medical University, Shijiazhuang, China

This study performed a radiomics signature analysis based on a high resolution T2WI images, and evaluate the value of these quantitative features in prediction the treatment effect of neoadjuvant chemotherapy-radiation therapy for advanced cervical cancer (>IIb) . And found that Shape and first-order features seems can provide valuable information and showed potential in prediction treatment effect of this disease.

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