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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