Establishment and validation of the scoring system for preoperative prediction of central lymph node metastasis in papillary thyroid carcinoma

Abstract Early preoperative diagnosis of central lymph node metastasis (CNM) is crucial to improve survival rates among patients with papillary thyroid carcinoma (PTC). Here, we analyzed clinical data from 2862 PTC patients and developed a scoring system using multivariable logistic regression and t...

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Autores principales:	Wen Liu, Ruochuan Cheng, Yunhai Ma, Dan Wang, Yanjun Su, Chang Diao, Jianming Zhang, Jun Qian, Jin Liu
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/0cee0bdf4f9a45caa596f1be8223eda8
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spelling	oai:doaj.org-article:0cee0bdf4f9a45caa596f1be8223eda82021-12-02T16:08:14ZEstablishment and validation of the scoring system for preoperative prediction of central lymph node metastasis in papillary thyroid carcinoma10.1038/s41598-018-24668-62045-2322https://doaj.org/article/0cee0bdf4f9a45caa596f1be8223eda82018-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-24668-6https://doaj.org/toc/2045-2322Abstract Early preoperative diagnosis of central lymph node metastasis (CNM) is crucial to improve survival rates among patients with papillary thyroid carcinoma (PTC). Here, we analyzed clinical data from 2862 PTC patients and developed a scoring system using multivariable logistic regression and testified by the validation group. The predictive diagnostic effectiveness of the scoring system was evaluated based on consistency, discrimination ability, and accuracy. The scoring system considered seven variables: gender, age, tumor size, microcalcification, resistance index >0.7, multiple nodular lesions, and extrathyroid extension. The area under the receiver operating characteristic curve (AUC) was 0.742, indicating a good discrimination. Using 5 points as a diagnostic threshold, the validation results for validation group had an AUC of 0.758, indicating good discrimination and consistency in the scoring system. The sensitivity of this predictive model for preoperative diagnosis of CNM was 4 times higher than a direct ultrasound diagnosis. These data indicate that the CNM prediction model would improve preoperative diagnostic sensitivity for CNM in patients with papillary thyroid carcinoma.Wen LiuRuochuan ChengYunhai MaDan WangYanjun SuChang DiaoJianming ZhangJun QianJin LiuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-10 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Wen Liu Ruochuan Cheng Yunhai Ma Dan Wang Yanjun Su Chang Diao Jianming Zhang Jun Qian Jin Liu Establishment and validation of the scoring system for preoperative prediction of central lymph node metastasis in papillary thyroid carcinoma
description	Abstract Early preoperative diagnosis of central lymph node metastasis (CNM) is crucial to improve survival rates among patients with papillary thyroid carcinoma (PTC). Here, we analyzed clinical data from 2862 PTC patients and developed a scoring system using multivariable logistic regression and testified by the validation group. The predictive diagnostic effectiveness of the scoring system was evaluated based on consistency, discrimination ability, and accuracy. The scoring system considered seven variables: gender, age, tumor size, microcalcification, resistance index >0.7, multiple nodular lesions, and extrathyroid extension. The area under the receiver operating characteristic curve (AUC) was 0.742, indicating a good discrimination. Using 5 points as a diagnostic threshold, the validation results for validation group had an AUC of 0.758, indicating good discrimination and consistency in the scoring system. The sensitivity of this predictive model for preoperative diagnosis of CNM was 4 times higher than a direct ultrasound diagnosis. These data indicate that the CNM prediction model would improve preoperative diagnostic sensitivity for CNM in patients with papillary thyroid carcinoma.
format	article
author	Wen Liu Ruochuan Cheng Yunhai Ma Dan Wang Yanjun Su Chang Diao Jianming Zhang Jun Qian Jin Liu
author_facet	Wen Liu Ruochuan Cheng Yunhai Ma Dan Wang Yanjun Su Chang Diao Jianming Zhang Jun Qian Jin Liu
author_sort	Wen Liu
title	Establishment and validation of the scoring system for preoperative prediction of central lymph node metastasis in papillary thyroid carcinoma
title_short	Establishment and validation of the scoring system for preoperative prediction of central lymph node metastasis in papillary thyroid carcinoma
title_full	Establishment and validation of the scoring system for preoperative prediction of central lymph node metastasis in papillary thyroid carcinoma
title_fullStr	Establishment and validation of the scoring system for preoperative prediction of central lymph node metastasis in papillary thyroid carcinoma
title_full_unstemmed	Establishment and validation of the scoring system for preoperative prediction of central lymph node metastasis in papillary thyroid carcinoma
title_sort	establishment and validation of the scoring system for preoperative prediction of central lymph node metastasis in papillary thyroid carcinoma
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/0cee0bdf4f9a45caa596f1be8223eda8
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Establishment and validation of the scoring system for preoperative prediction of central lymph node metastasis in papillary thyroid carcinoma

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