A predictive model of thyroid malignancy using clinical, biochemical and sonographic parameters for patients in a multi-center setting.
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ABSTRACT: Background
Thyroid nodules are highly prevalent, but a robust, feasible method for malignancy differentiation has not yet been well documented. This study aimed to establish a practical model for thyroid nodule discrimination.Methods
Records for 2984 patients who underwent thyroidectomy were analyzed. Clinical, laboratory, and US variables were assessed retrospectively. Multivariate logistic regression analysis was performed and a mathematical model was established for malignancy prediction.Results
The results showed that the malignant group was younger and had smaller nodules than the benign group (43.5?±?11.6 vs. 48.5?±?11.5 y, p?ConclusionA predictive model of malignancy that combines clinical, laboratory and sonographic characteristics would aid clinicians in avoiding unnecessary procedures and making better clinical decisions.
SUBMITTER: Liu J
PROVIDER: S-EPMC5842594 | biostudies-literature | 2018 Mar
REPOSITORIES: biostudies-literature
Publications
A predictive model of thyroid malignancy using clinical, biochemical and sonographic parameters for patients in a multi-center setting.
Liu Jia J Zheng Dongmei D Li Qiang Q Tang Xulei X Luo Zuojie Z Yuan Zhongshang Z Gao Ling L Zhao Jiajun J
BMC endocrine disorders 20180307 1
<h4>Background</h4>Thyroid nodules are highly prevalent, but a robust, feasible method for malignancy differentiation has not yet been well documented. This study aimed to establish a practical model for thyroid nodule discrimination.<h4>Methods</h4>Records for 2984 patients who underwent thyroidectomy were analyzed. Clinical, laboratory, and US variables were assessed retrospectively. Multivariate logistic regression analysis was performed and a mathematical model was established for malignancy ...[more]
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