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一种预测直肠癌淋巴结计数不足风险的术前评分系统。

A Preoperative Scoring System to Predict the Risk of Inadequate Lymph Node Count in Rectal Cancer.

作者信息

Zhang Hao, Wang Chunlin, Liu Yunxiao, Hu Hanqing, Wang Guiyu

机构信息

Department of Colorectal Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, China.

出版信息

Front Oncol. 2022 Jul 8;12:938996. doi: 10.3389/fonc.2022.938996. eCollection 2022.

Abstract

PURPOSE

The aim of this study was to develop and validate a preoperative scoring system to stratify rectal cancer (RC) patients with different risks of inadequate lymph node examination.

METHODS

A total of 1,375 stage I-III RC patients between 2011 and 2020 from the Second Affiliated Hospital of Harbin Medical University were included in the retrospective study and randomly divided into a development set ( = 688) and a validation set ( = 687). The logistic regression model was used to determine independent factors contributing to lymph node count (LNC) < 12. A preoperative scoring system was constructed based on beta () coefficients. The area under the receiver operating curve (AUC) was used to test model discrimination.

RESULTS

Preoperative significant indicators related to LNC < 12 included age, tumor size, tumor location, and CEA. The AUCs of the scoring system for development and validation sets were 0.694 (95% CI = 0.648-0.741) and 0.666 (95% CI = 0.615-0.716), respectively. Patients who scored 0-2, 3-4, and 5-6 were classified into the low-risk group, medium-risk group, and high-risk group, respectively.

CONCLUSIONS

The preoperative scoring system could identify RC patients with high risk of inadequate lymphadenectomy accurately and further provide a reference to perform preoperative lymph node staining in targeted patients to reduce the difficulty of meeting the 12-node standard, with the purpose of accurate tumor stage and favorable prognosis.

摘要

目的

本研究旨在开发并验证一种术前评分系统,以对存在不同淋巴结检查不充分风险的直肠癌(RC)患者进行分层。

方法

本回顾性研究纳入了2011年至2020年间哈尔滨医科大学附属第二医院的1375例I-III期RC患者,并将其随机分为开发集(n = 688)和验证集(n = 687)。采用逻辑回归模型确定导致淋巴结计数(LNC)< 12的独立因素。基于β(β)系数构建术前评分系统。采用受试者工作特征曲线(ROC)下面积(AUC)来检验模型的区分能力。

结果

与LNC < 12相关的术前显著指标包括年龄、肿瘤大小、肿瘤位置和癌胚抗原(CEA)。开发集和验证集评分系统的AUC分别为0.694(95%CI = 0.648 - 0.741)和0.666(95%CI = 0.615 - 0.716)。评分0 - 2分、3 - 4分和5 - 6分的患者分别被分为低风险组、中风险组和高风险组。

结论

术前评分系统能够准确识别淋巴结清扫不充分风险高的RC患者,并进一步为有针对性的患者进行术前淋巴结染色提供参考,以降低达到12枚淋巴结标准的难度,从而实现准确的肿瘤分期和良好的预后。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18a2/9304549/943adb3fb340/fonc-12-938996-g001.jpg

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