• Yuqiang Li, Wenxue Liu, Qian Pei, Lilan Zhao, Cenap Güngör, Hong Zhu, Xiangping Song, Chenglong Li, Zhongyi Zhou, Yang Xu, Dan Wang, Fengbo Tan, Pei Yang, and Haiping Pei.
• Department of Gastrointestinal Surgery, Xiangya Hospital, Central South University, Changsha, China.
• Cancer Med. 2019 Dec 1; 8 (17): 7244-7252.

BackgroundTotal mesorectal excision following neoadjuvant chemoradiotherapy (nCRT) is recommended in the latest treatment of locally advanced rectal cancer (LARC).ObjectiveTo predict whether patients with LARC can achieve pathologic complete response (pCR), comparing MRI-based radiomics between before and after neoadjuvant radiotherapy (nRT) was performed.MethodsOne hundred and sixty-five MRI-based radiomics features in axial T2-weighted images were obtained quantitatively from Imaging Biomarker Explorer Software. The specific features of conventional and developing radiomics were selected with the analysis of least absolute shrinkage and selection operator logistic regression, of which the predictive performance was analyzed with receiver operating curve and calibration curve, and applied to an independent cohort.ResultsOne hundred and thirty-one target patients were enrolled in the present study. A radiomics signature founded on seven radiomics features was generated in the primary cohort. A remarkable difference about Rad-score between pCR and non-pCR group occurred in both of primary (P < .001) or validation cohorts (P < .001). The value of area under the curves was 0.92 (95% CI, 0.86-0.99) and 0.87 (95% CI, 0.74-1.00) in the primary and validation cohorts, respectively. The Rad-score (OR = 23.581; P < .001) from multivariate logistic regression analysis was significant as an independent factor of pCR.ConclusionOur predictive model based on radiomics features was an independent predictor for pCR in LARC and could be a candidate in clinical practice.© 2019 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.

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