A cascaded clinical-ultrasound-biochemical model for precise prediction before thyroid nodule fine-needle aspiration biopsy.

ABSTRACT:

Objectives

Determining the nature of thyroid nodules through a single fine-needle aspiration (FNA) biopsy is not feasible for approximately one-third of patients. We developed a predictive model to assist FNA decision-making and reduce unnecessary FNAs.

Methods

This retrospective study consecutively included patients who underwent ultrasound-guided FNA between March 2018 and March 2023. Patients were divided into a training dataset (70%) and a validation dataset (30%). Univariate analysis was performed within the training dataset using Kruskal-Wallis test for continuous variables and chi-square test or Fisher's exact test for categorical variables. Variables with significance were entered into multivariate logistic regression. The prediction model (B-Model) was constructed u

SUBMITTER: Gao S 

PROVIDER: S-EPMC12488719 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature