Building radiomics models based on ACR TI-RADS combining clinical features for discriminating benign and malignant thyroid nodules.

ABSTRACT:

Purpose

The aim of this study was to establish and validate a radiomics model combining the American College of Radiology Thyroid Imaging, Reporting and Data System (ACR TI-RADS) and clinical features and to build a nomogram that could be utilized to enhance the diagnostic performance of malignant thyroid nodules.

Method

From January 2019 to September 2022, 329 thyroid nodules from 323 patients who had been referred for surgery and had pathological evidence of them were gathered retrospectively and randomly allocated to training and test cohorts (8:2 ratio). A total of 107 radiomics features were extracted from the US images, and the radiomics score (Rad-score) was constructed using the Least Absolute Shrinkage and Selection Operator (LASSO) algorithm. Different models were

SUBMITTER: Chen X 

PROVIDER: S-EPMC12318720 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature