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Abstract #1646

MR-based Radiomics Models for Predicting Pathological Complete Response in Locally Advanced Rectal Cancer: A Two-Centre, Multi-Vendor Study

Qiurong Wei1, Weicui Chen1, Liting Mao1, Kan Deng2, Zhaoxian Yan1, Weikang Huang1, and Xian Liu1
1Radiology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China, 2Philips Healthcare, Guangzhou, China

Synopsis

Keywords: Cancer, RadiomicsThe response to neoadjuvant chemoradiotherapy (nCRT) in patients with locally advanced rectal cancer (LARC) is especially important for prognostic and management decisions. In this study, we used cross-vendor data from two centers to validate the generalization ability of radiomics model based on multiparametric-MRI (MP-MRI) for predicting pCR and to compare the discriminatory performance of different classifiers. Our results demonstrated that radiomics can be used to predict pCR. The clinical-radiomics model had superior performance compared to the radiomics model and clinical model. Furthermore, the RF classifier outperformed the other classifiers in prediction.

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