Hei Hu, Song Yongping, Qin Jianwu
Department of Thyroid and Neck, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China.
Department of Hematology, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China.
J Surg Oncol. 2016 Nov;114(6):703-707. doi: 10.1002/jso.24403. Epub 2016 Sep 16.
Central compartment neck dissection (CCND) is recommended for patients with papillary thyroid carcinoma (PTC). However, whether to perform contralateral CCND remains unclear. An individualized estimation of the contralateral central neck metastasis (CNM) risk would assist in the tailoring of treatment for PTC patients.
Consecutive patients who underwent bilateral CCND for unilateral PTC between 2012 and 2014 in a tertiary center were identified. The clinicopathological data of 142 patients were analyzed retrospectively. The variables that had clinical significance in the final multivariate logistic regression model were built into a nomogram to assess the risk of metastasis of the contralateral central compartment. This model was internally validated using bootstrap resampling.
This nomogram demonstrated good calibration and discrimination, with a concordance index of 0.834 (bootstrap corrected, 0.824). The variables with the greatest influence on the risk of contralateral CNM in this model included tumor size, the number of positive lymph nodes, and extranodal extension in the ipsilateral central neck.
This nomogram integrates three variables to estimate an individualized risk of contralateral CNM in unilateral PTC patients. This model may assist in individual decision-making regarding contralateral CCND and help avoid the over- and under-treatment of PTC. J. Surg. Oncol. 2016;114:703-707. © 2016 Wiley Periodicals, Inc.
对于甲状腺乳头状癌(PTC)患者,推荐行中央区颈淋巴结清扫术(CCND)。然而,是否进行对侧CCND仍不明确。对侧中央区颈部转移(CNM)风险的个体化评估有助于为PTC患者量身定制治疗方案。
确定2012年至2014年在一家三级中心因单侧PTC接受双侧CCND的连续患者。对142例患者的临床病理数据进行回顾性分析。将最终多因素逻辑回归模型中有临床意义的变量纳入列线图,以评估对侧中央区转移风险。该模型采用自抽样重采样进行内部验证。
该列线图显示出良好的校准和区分能力,一致性指数为0.834(自抽样校正后为0.824)。该模型中对对侧CNM风险影响最大的变量包括肿瘤大小、阳性淋巴结数量以及同侧中央区颈部的结外侵犯。
该列线图整合了三个变量来估计单侧PTC患者对侧CNM的个体化风险。该模型可能有助于关于对侧CCND的个体化决策,并有助于避免PTC的过度治疗和治疗不足。《外科肿瘤学杂志》2016年;114:703 - 707。©2016威利期刊公司