Cargando…

A Prediction Model for Contralateral Central Neck Lymph Node Metastases in Unilateral Papillary Thyroid Cancer

The health problems caused by the frequent relapse of papillary thyroid carcinoma (PTC) remain a worldwide concern since the morbidity rate of PTC ranks the highest among thyroid cancers. Residues from contralateral central lymph node metastases (con-CLNM) are the key reason for persistence or recur...

Descripción completa

Detalles Bibliográficos
Autores principales: Tan, Hai-Long, Huang, Bo-Qiang, Li, Gui-You, Wei, Bo, Chen, Pei, Hu, Hui-Yu, Liu, Mian, Ou-Yang, Deng-Jie, Yang, Qiong, Qin, Zi-En, Shi, Qi-Man, Li, Ning, Huang, Peng, Chang, Shi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8263281/
https://www.ncbi.nlm.nih.gov/pubmed/34306071
http://dx.doi.org/10.1155/2021/6621067
_version_ 1783719358622597120
author Tan, Hai-Long
Huang, Bo-Qiang
Li, Gui-You
Wei, Bo
Chen, Pei
Hu, Hui-Yu
Liu, Mian
Ou-Yang, Deng-Jie
Yang, Qiong
Qin, Zi-En
Shi, Qi-Man
Li, Ning
Huang, Peng
Chang, Shi
author_facet Tan, Hai-Long
Huang, Bo-Qiang
Li, Gui-You
Wei, Bo
Chen, Pei
Hu, Hui-Yu
Liu, Mian
Ou-Yang, Deng-Jie
Yang, Qiong
Qin, Zi-En
Shi, Qi-Man
Li, Ning
Huang, Peng
Chang, Shi
author_sort Tan, Hai-Long
collection PubMed
description The health problems caused by the frequent relapse of papillary thyroid carcinoma (PTC) remain a worldwide concern since the morbidity rate of PTC ranks the highest among thyroid cancers. Residues from contralateral central lymph node metastases (con-CLNM) are the key reason for persistence or recurrence of unilateral papillary thyroid carcinoma (uni-PTC); however, the ability to assess the status of con-CLNM in uni-PTC patients is limited. To clarify the risk factors of con-CLNM, a total of 250 patients with uni-PTC who underwent total thyroidectomy and bilateral central lymph node dissection were recruited in this study. We compared the clinical, sonographic, and pathological characteristics of patients with con-CLNM to those without con-CLNM and established a nomogram for con-CLNM in uni-PTC. We found that male sex, without Hashimoto's thyroiditis, present capsular invasion, with ipsilateral lateral lymph node metastases, and the ratio of ipsilateral central lymph node metastases ≥0.16 were independent con-CLNM predictors of uni-PTC (ORs: 2.797, 0.430, 2.538, 2.202, and 26.588; 95% CIs: 1.182–6.617, 0.211–0.876, 1.223–5.267, 1.064–4.557, and 7.596–93.069, respectively). Additionally, a preoperative nomogram for the prediction of con-CLNM based on these risk factors showed good discrimination (C-index 0.881; 95% CI: 0.840–0.923; sensitivity 85.3%; specificity 76.0%) and good agreement via the calibration plot. Our study provided a way to quantitatively and accurately predict whether con-CLNM occurred in patients with uni-PTC, which may guide surgeons to evaluate the nodal status and perform tailored therapeutic central lymph node dissection.
format Online
Article
Text
id pubmed-8263281
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-82632812021-07-22 A Prediction Model for Contralateral Central Neck Lymph Node Metastases in Unilateral Papillary Thyroid Cancer Tan, Hai-Long Huang, Bo-Qiang Li, Gui-You Wei, Bo Chen, Pei Hu, Hui-Yu Liu, Mian Ou-Yang, Deng-Jie Yang, Qiong Qin, Zi-En Shi, Qi-Man Li, Ning Huang, Peng Chang, Shi Int J Endocrinol Research Article The health problems caused by the frequent relapse of papillary thyroid carcinoma (PTC) remain a worldwide concern since the morbidity rate of PTC ranks the highest among thyroid cancers. Residues from contralateral central lymph node metastases (con-CLNM) are the key reason for persistence or recurrence of unilateral papillary thyroid carcinoma (uni-PTC); however, the ability to assess the status of con-CLNM in uni-PTC patients is limited. To clarify the risk factors of con-CLNM, a total of 250 patients with uni-PTC who underwent total thyroidectomy and bilateral central lymph node dissection were recruited in this study. We compared the clinical, sonographic, and pathological characteristics of patients with con-CLNM to those without con-CLNM and established a nomogram for con-CLNM in uni-PTC. We found that male sex, without Hashimoto's thyroiditis, present capsular invasion, with ipsilateral lateral lymph node metastases, and the ratio of ipsilateral central lymph node metastases ≥0.16 were independent con-CLNM predictors of uni-PTC (ORs: 2.797, 0.430, 2.538, 2.202, and 26.588; 95% CIs: 1.182–6.617, 0.211–0.876, 1.223–5.267, 1.064–4.557, and 7.596–93.069, respectively). Additionally, a preoperative nomogram for the prediction of con-CLNM based on these risk factors showed good discrimination (C-index 0.881; 95% CI: 0.840–0.923; sensitivity 85.3%; specificity 76.0%) and good agreement via the calibration plot. Our study provided a way to quantitatively and accurately predict whether con-CLNM occurred in patients with uni-PTC, which may guide surgeons to evaluate the nodal status and perform tailored therapeutic central lymph node dissection. Hindawi 2021-06-30 /pmc/articles/PMC8263281/ /pubmed/34306071 http://dx.doi.org/10.1155/2021/6621067 Text en Copyright © 2021 Hai-Long Tan et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Tan, Hai-Long
Huang, Bo-Qiang
Li, Gui-You
Wei, Bo
Chen, Pei
Hu, Hui-Yu
Liu, Mian
Ou-Yang, Deng-Jie
Yang, Qiong
Qin, Zi-En
Shi, Qi-Man
Li, Ning
Huang, Peng
Chang, Shi
A Prediction Model for Contralateral Central Neck Lymph Node Metastases in Unilateral Papillary Thyroid Cancer
title A Prediction Model for Contralateral Central Neck Lymph Node Metastases in Unilateral Papillary Thyroid Cancer
title_full A Prediction Model for Contralateral Central Neck Lymph Node Metastases in Unilateral Papillary Thyroid Cancer
title_fullStr A Prediction Model for Contralateral Central Neck Lymph Node Metastases in Unilateral Papillary Thyroid Cancer
title_full_unstemmed A Prediction Model for Contralateral Central Neck Lymph Node Metastases in Unilateral Papillary Thyroid Cancer
title_short A Prediction Model for Contralateral Central Neck Lymph Node Metastases in Unilateral Papillary Thyroid Cancer
title_sort prediction model for contralateral central neck lymph node metastases in unilateral papillary thyroid cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8263281/
https://www.ncbi.nlm.nih.gov/pubmed/34306071
http://dx.doi.org/10.1155/2021/6621067
work_keys_str_mv AT tanhailong apredictionmodelforcontralateralcentralnecklymphnodemetastasesinunilateralpapillarythyroidcancer
AT huangboqiang apredictionmodelforcontralateralcentralnecklymphnodemetastasesinunilateralpapillarythyroidcancer
AT liguiyou apredictionmodelforcontralateralcentralnecklymphnodemetastasesinunilateralpapillarythyroidcancer
AT weibo apredictionmodelforcontralateralcentralnecklymphnodemetastasesinunilateralpapillarythyroidcancer
AT chenpei apredictionmodelforcontralateralcentralnecklymphnodemetastasesinunilateralpapillarythyroidcancer
AT huhuiyu apredictionmodelforcontralateralcentralnecklymphnodemetastasesinunilateralpapillarythyroidcancer
AT liumian apredictionmodelforcontralateralcentralnecklymphnodemetastasesinunilateralpapillarythyroidcancer
AT ouyangdengjie apredictionmodelforcontralateralcentralnecklymphnodemetastasesinunilateralpapillarythyroidcancer
AT yangqiong apredictionmodelforcontralateralcentralnecklymphnodemetastasesinunilateralpapillarythyroidcancer
AT qinzien apredictionmodelforcontralateralcentralnecklymphnodemetastasesinunilateralpapillarythyroidcancer
AT shiqiman apredictionmodelforcontralateralcentralnecklymphnodemetastasesinunilateralpapillarythyroidcancer
AT lining apredictionmodelforcontralateralcentralnecklymphnodemetastasesinunilateralpapillarythyroidcancer
AT huangpeng apredictionmodelforcontralateralcentralnecklymphnodemetastasesinunilateralpapillarythyroidcancer
AT changshi apredictionmodelforcontralateralcentralnecklymphnodemetastasesinunilateralpapillarythyroidcancer
AT tanhailong predictionmodelforcontralateralcentralnecklymphnodemetastasesinunilateralpapillarythyroidcancer
AT huangboqiang predictionmodelforcontralateralcentralnecklymphnodemetastasesinunilateralpapillarythyroidcancer
AT liguiyou predictionmodelforcontralateralcentralnecklymphnodemetastasesinunilateralpapillarythyroidcancer
AT weibo predictionmodelforcontralateralcentralnecklymphnodemetastasesinunilateralpapillarythyroidcancer
AT chenpei predictionmodelforcontralateralcentralnecklymphnodemetastasesinunilateralpapillarythyroidcancer
AT huhuiyu predictionmodelforcontralateralcentralnecklymphnodemetastasesinunilateralpapillarythyroidcancer
AT liumian predictionmodelforcontralateralcentralnecklymphnodemetastasesinunilateralpapillarythyroidcancer
AT ouyangdengjie predictionmodelforcontralateralcentralnecklymphnodemetastasesinunilateralpapillarythyroidcancer
AT yangqiong predictionmodelforcontralateralcentralnecklymphnodemetastasesinunilateralpapillarythyroidcancer
AT qinzien predictionmodelforcontralateralcentralnecklymphnodemetastasesinunilateralpapillarythyroidcancer
AT shiqiman predictionmodelforcontralateralcentralnecklymphnodemetastasesinunilateralpapillarythyroidcancer
AT lining predictionmodelforcontralateralcentralnecklymphnodemetastasesinunilateralpapillarythyroidcancer
AT huangpeng predictionmodelforcontralateralcentralnecklymphnodemetastasesinunilateralpapillarythyroidcancer
AT changshi predictionmodelforcontralateralcentralnecklymphnodemetastasesinunilateralpapillarythyroidcancer