Modified Models for Predicting Malignancy Using Ultrasound Characters Have High Accuracy in Thyroid Nodules With Small Size

To assess the malignancy risk of thyroid nodules, ten ultrasound characteristics are suggested as key diagnostic markers. The European Thyroid Association Guidelines (EU-TIRADS) and 2015 American Thyroid Association Management Guidelines (2015ATA) are mainly used for ultrasound malignancy risk strat...

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Autores principales:	Shan Jiang, Qingji Xie, Nan Li, Haizhen Chen, Xi Chen
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	diagnostic ultrasound characteristics malignancy of thyroid nodules nodule size logistic model Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/e1d5cce90bb2409bb7d9af652b700903
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spelling	oai:doaj.org-article:e1d5cce90bb2409bb7d9af652b7009032021-12-01T08:19:47ZModified Models for Predicting Malignancy Using Ultrasound Characters Have High Accuracy in Thyroid Nodules With Small Size2296-889X10.3389/fmolb.2021.752417https://doaj.org/article/e1d5cce90bb2409bb7d9af652b7009032021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fmolb.2021.752417/fullhttps://doaj.org/toc/2296-889XTo assess the malignancy risk of thyroid nodules, ten ultrasound characteristics are suggested as key diagnostic markers. The European Thyroid Association Guidelines (EU-TIRADS) and 2015 American Thyroid Association Management Guidelines (2015ATA) are mainly used for ultrasound malignancy risk stratification, but both are less accurate and do not appropriatetly classify high risk patients in clinical examination. Previous studies focus on papillary thyroid carcinoma (PTC), but follicular thyroid carcinoma (FTC) and medullary thyroid carcinoma (MTC) remained to be characterized. Thus, this study aimed to determine the diagnostic accuracy and establish models using all ultrasound features including the nodule size for predicting the malignancy of thyroid nodules (PTC, FTC, and MTC) in China. We applied logistic regression to the data of 1,500 patients who received medical treatment in Shanghai and Fujian. Ultrasound features including taller-than-wide shape and invasion of the thyroid capsule showed high odds ratio (OR 19.329 and 4.672) for PTC in this dataset. Invasion of the thyroid also showed the highest odds ratio (OR = 8.10) for MTC. For FTC, the halo sign has the highest odds ratio (OR = 13.40). Four ultrasound features revealed distinct OR in PTC nodule groups with different sizes. In this study, we constructed a logistic model with accuracy up to 80%. In addition, this model revealed more accuracy than TIRADS in 4b and 4c category nodules. Hence, this model could well predict malignancy in small nodules and classify high-risk patients.Shan JiangQingji XieNan LiHaizhen ChenXi ChenFrontiers Media S.A.articlediagnosticultrasound characteristicsmalignancy of thyroid nodulesnodule sizelogistic modelBiology (General)QH301-705.5ENFrontiers in Molecular Biosciences, Vol 8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	diagnostic ultrasound characteristics malignancy of thyroid nodules nodule size logistic model Biology (General) QH301-705.5
spellingShingle	diagnostic ultrasound characteristics malignancy of thyroid nodules nodule size logistic model Biology (General) QH301-705.5 Shan Jiang Qingji Xie Nan Li Haizhen Chen Xi Chen Modified Models for Predicting Malignancy Using Ultrasound Characters Have High Accuracy in Thyroid Nodules With Small Size
description	To assess the malignancy risk of thyroid nodules, ten ultrasound characteristics are suggested as key diagnostic markers. The European Thyroid Association Guidelines (EU-TIRADS) and 2015 American Thyroid Association Management Guidelines (2015ATA) are mainly used for ultrasound malignancy risk stratification, but both are less accurate and do not appropriatetly classify high risk patients in clinical examination. Previous studies focus on papillary thyroid carcinoma (PTC), but follicular thyroid carcinoma (FTC) and medullary thyroid carcinoma (MTC) remained to be characterized. Thus, this study aimed to determine the diagnostic accuracy and establish models using all ultrasound features including the nodule size for predicting the malignancy of thyroid nodules (PTC, FTC, and MTC) in China. We applied logistic regression to the data of 1,500 patients who received medical treatment in Shanghai and Fujian. Ultrasound features including taller-than-wide shape and invasion of the thyroid capsule showed high odds ratio (OR 19.329 and 4.672) for PTC in this dataset. Invasion of the thyroid also showed the highest odds ratio (OR = 8.10) for MTC. For FTC, the halo sign has the highest odds ratio (OR = 13.40). Four ultrasound features revealed distinct OR in PTC nodule groups with different sizes. In this study, we constructed a logistic model with accuracy up to 80%. In addition, this model revealed more accuracy than TIRADS in 4b and 4c category nodules. Hence, this model could well predict malignancy in small nodules and classify high-risk patients.
format	article
author	Shan Jiang Qingji Xie Nan Li Haizhen Chen Xi Chen
author_facet	Shan Jiang Qingji Xie Nan Li Haizhen Chen Xi Chen
author_sort	Shan Jiang
title	Modified Models for Predicting Malignancy Using Ultrasound Characters Have High Accuracy in Thyroid Nodules With Small Size
title_short	Modified Models for Predicting Malignancy Using Ultrasound Characters Have High Accuracy in Thyroid Nodules With Small Size
title_full	Modified Models for Predicting Malignancy Using Ultrasound Characters Have High Accuracy in Thyroid Nodules With Small Size
title_fullStr	Modified Models for Predicting Malignancy Using Ultrasound Characters Have High Accuracy in Thyroid Nodules With Small Size
title_full_unstemmed	Modified Models for Predicting Malignancy Using Ultrasound Characters Have High Accuracy in Thyroid Nodules With Small Size
title_sort	modified models for predicting malignancy using ultrasound characters have high accuracy in thyroid nodules with small size
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/e1d5cce90bb2409bb7d9af652b700903
work_keys_str_mv	AT shanjiang modifiedmodelsforpredictingmalignancyusingultrasoundcharactershavehighaccuracyinthyroidnoduleswithsmallsize AT qingjixie modifiedmodelsforpredictingmalignancyusingultrasoundcharactershavehighaccuracyinthyroidnoduleswithsmallsize AT nanli modifiedmodelsforpredictingmalignancyusingultrasoundcharactershavehighaccuracyinthyroidnoduleswithsmallsize AT haizhenchen modifiedmodelsforpredictingmalignancyusingultrasoundcharactershavehighaccuracyinthyroidnoduleswithsmallsize AT xichen modifiedmodelsforpredictingmalignancyusingultrasoundcharactershavehighaccuracyinthyroidnoduleswithsmallsize
_version_	1718405385630515200

Modified Models for Predicting Malignancy Using Ultrasound Characters Have High Accuracy in Thyroid Nodules With Small Size

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