Distinguishing benign from malignant thyroid nodules via virtual biopsy: a study on using quantitative parameters and classical radiomics features from dual-energy CT imaging.

ABSTRACT:

Background

To evaluate the predictive value of dual-energy computed tomography (DECT)-based quantitative parameters and radiomics models for the preoperative differentiation between benign and malignant thyroid nodules, and to compare their performance with radiologists' interpretations.

Methods

A retrospective analysis was conducted on 215 patients who underwent contrast-enhanced DECT of the thyroid, with pathological outcomes for thyroid nodules obtained. Patients were randomly assigned to training and testing groups in a 7:3 ratio. The images were evaluated by radiologists. Quantitative parameters derived from DECT were identified through univariate and multivariate logistic regression analyses to construct a DECT model. Radiomics features were extracted from the 40, 70,

SUBMITTER: He J 

PROVIDER: S-EPMC12648871 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature