Nomogram for Predicting Lateral Lymph Node Metastasis in Medullary Thyroid Carcinoma: A Retrospective Cohort Study of Single Clinical Center

Author:

Xu Jiankun1,Li Rui2,Zhang Wenjing1,Zhou Luting1,Wang Chaofu1

Affiliation:

1. Ruijin Hospital, Shanghai Jiao Tong University School of Medicine

2. Nankai university school of medicine

Abstract

Abstract Background Medullary thyroid carcinoma (MTC) is a neuroendocrine tumor originating from parafollicular C cells of the thyroid, accounting for only 5% of all thyroid carcinomas. Lateral lymph nodes metastasis (LLNM) are the most important indicator of distant metastasis and clinical outcomes. Surgery is the only curative treatment for MTC, which is recommended to remove all lesions in the neck. We aim to establish a nomogram assessing risk factors of LLNM in MTC patients, and help surgeons make preoperative therapeutic decisions. Materials and Methods Totally 63 patients of a single clinical center between January 2013 and December 2020 were studied. Univariate and multivariate analysis were performed to examine risk factors associated with central lymph node metastasis (CNM) and LLNM. A nomogram for predicting LLNM was established. Results Several preoperative clinical features were found to be significantly associated with LLNM and were used to construct the model, including diameter > 1.6cm, calcitonin (CT) > 658.87 pg/mL, carcinoembryonic antigen (CEA) > 60 ng/ml. The nomogram had good discrimination with a concordance index of 0.961 (95% confidence interval [CI], 0.916 to 1). A decision curve analysis was made to evaluate the nomogram. Conclusions A nomogram was made to predict the probability of LLNM in patients presenting with MTC, which would help surgeons make appropriate therapeutic decisions.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3