Zhu Mengting, Zheng Weihui, Xiang Yangfeng, Gu Jialei, Wang Kejing, Shang Jinbiao
The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China.
Department of Head and Neck Surgery, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital); Institute of Cancer and Basic Medicine (IBMC), Chinese Academy of Sciences; Key Laboratory of Head & Neck Cancer Translational Research of Zhejiang Province, Hangzhou, China.
Gland Surg. 2020 Jun;9(3):727-736. doi: 10.21037/gs-20-478.
This study aims to explore the predictive factors of central lymph node metastasis (CLNM) in patients with papillary thyroid microcarcinoma (PTMC) without capsule invasion.
From January 2016 to October 2018, 1,622 patients with PTMC, who underwent surgical treatment at Zhejiang Cancer Hospital, were enrolled in the present study. A model of multivariate logistic regression was developed to find the variables that were independently associated with CLNM. The results were presented in the odds ratio (OR) with a 95% confidence interval (CI). The nomogram for predicting CLNM was developed based on the results of the multivariate logistic regression analysis. The distance (distance >0) from tumor to capsule is defined as the shortest distance from the tumor boundary to the capsule or trachea.
The multivariate logistic regression analysis indicated that age, gender, tumor maximum diameter, tumor mean diameter, and tumor volume were independently associated with CLNM. In the 692 cases without capsular invasion, the distance from the capsule was not correlated to the CLNM. The joint model, which included age, gender, tumor volume, and capsular invasion, were analyzed using the ROC curve. The cut-off point for the prediction of CLNM was defined as a value of 0.208. The area under the ROC curve was 0.687, the sensitivity was 65.4%, and the specificity was 63.3%.
Gender, age, maximum diameter, mean diameter, tumor volume, and capsular invasion were independently associated with the CLNM. When there was no capsular invasion, the distance between the tumor and capsule was not correlated to the CLNM, suggesting that considering whether the tumor is close to the capsule may not be necessary for low-risk PTMC.
本研究旨在探讨无包膜侵犯的甲状腺微小乳头状癌(PTMC)患者中央淋巴结转移(CLNM)的预测因素。
2016年1月至2018年10月,纳入在浙江省肿瘤医院接受手术治疗的1622例PTMC患者。建立多因素逻辑回归模型以找出与CLNM独立相关的变量。结果以比值比(OR)及95%置信区间(CI)呈现。基于多因素逻辑回归分析结果绘制预测CLNM的列线图。肿瘤至包膜的距离(距离>0)定义为肿瘤边界至包膜或气管的最短距离。
多因素逻辑回归分析表明,年龄、性别、肿瘤最大直径、肿瘤平均直径和肿瘤体积与CLNM独立相关。在692例无包膜侵犯的病例中,至包膜的距离与CLNM无关。使用ROC曲线分析包括年龄、性别、肿瘤体积和包膜侵犯的联合模型。预测CLNM的截断点定义为0.208。ROC曲线下面积为0.687,灵敏度为65.4%,特异度为63.3%。
性别、年龄、最大直径、平均直径、肿瘤体积和包膜侵犯与CLNM独立相关。当无包膜侵犯时,肿瘤与包膜之间的距离与CLNM无关,提示对于低风险PTMC可能无需考虑肿瘤是否靠近包膜。