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- Mingyuan Feng, Huaiming Wang, Jixiang Zheng, Zhenbang Chen, Bingzi Kang, Yandong Zhao, Jiaxin Yao, Hui Wang, Shuangmu Zhuo, and Jun Yan.
- From the Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China (Feng, Zheng, Chen, Yao, Yan).
- J. Am. Coll. Surg. 2024 Oct 1; 239 (4): 363374363-374.
BackgroundNeoadjuvant chemoradiotherapy (nCRT) for rectal cancer can lead to structural changes in collagen in the tumor microenvironment and increase the risk of postoperative anastomotic stenosis (AS). However, the quantitative relationship between AS and collagen has not been defined. This study is to quantitatively analyze the collagen features in rectal cancer and explore the relationship between the changes of collagen and postoperative anastomotic stenosis after nCRT.Study DesignThis is a retrospective study. A total of 371 patients with rectal cancer were included. Collagen features in the resection margin of rectal cancer anastomosis was extracted by multiphoton imaging. The least absolute shrinkage operator logistic regression was performed to select features related to AS and the collagen score (CS) was constructed. Area under the receiver operating curve (AUROC) and decision curve analysis were performed to evaluate the discrimination and clinical benefit of the nomogram.ResultsThe probability of AS was 23% in the training cohort and 15.9% in the validation cohort. In the training cohort, the distance between tumor and resection margin, anastomotic leakage and CS were independent risk factors for postoperative AS in univariate and multivariate analyses. A nomogram was constructed based on these results. The prediction nomogram showed good discrimination (AUROC 0.864; 95% CI 0.776 to 0.952) and was validated in the validation cohort (AUROC 0.918; 95% CI 0.851 to 0.985).ConclusionsCS is an independent risk factor for AS in rectal cancer after nCRT. The predictive model based on CS can predict the occurrence of postoperative AS.Copyright © 2024 by the American College of Surgeons. Published by Wolters Kluwer Health, Inc. All rights reserved.
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