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Abstract #3129

The performance of pretreatment MR-based radiomics in RHESĀ combined chemoradiotherapy response prediction in nasopharyngeal carcinoma.

Lixuan Huang1, Zongxiang Yang1, Hao Ren2, Cheng Tang1, Huiting Zhang3, Yang Song3, and Liling Long1
1The First Affliated Hospital of Guangxi Medical University, Nanning, China, 2Guangxi Medical University Kaiyuan Langdong Hospital, Nanning, China, 3Siemens Healthineers, Shanghai, China


This study is to investigate a MRI radiomics model based on pre-treatment texture features to explore its application value in predicting the efficacy of recombinant human endostatin(RHES) combined concurrent chemoradiotherapy for nasopharyngeal carcinoma. The results showed that the AUC and the accuracy of radiomics-clinics combine model and radiomics model for response assessment in nasopharyngeal carcinoma(NPC) was higher than clinics model. These suggest that pretreatment MRI based radiomics could predict RHES combined concurrent chemoradiotherapy response in NPC, its accuracy was better than clinics model.

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