Laboratory parameters-based logistic regression models for rapid screening of thyroid nodules.

ABSTRACT:

Background

The increasing incidence of thyroid nodules (TNs) are placing mounting pressure on radiologists. Our study aimed to evaluate the effectiveness of laboratory parameters in the detection of benign and malignant TNs and develop early diagnosis logistic regression models by using the laboratory parameters.

Methods

This study was conducted from December 2016 to July 2022 at Beijing Chaoyang Hospital. Totals of 251 healthy individuals, 176 patients with benign TNs (BTNs), and 302 patients with malignant TNs (MTNs) were enrolled. Univariate and multivariate logistic regression analyses were performed to find the meaningful laboratory factors of TNs, and subsequently, prediction models were established. Sensitivity, specificity, and receiver operating characteristic (ROC)

SUBMITTER: Liu M 

PROVIDER: S-EPMC11558287 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature