Predicting central lymph node metastasis in papillary thyroid carcinoma using a fusion model of vision transformer and traditional radiomics based on dynamic dual-modality ultrasound.

ABSTRACT:

Objective

This study aimed to develop a novel fusion model based on dynamic dual-modality with B-mode ultrasound and superb microvascular imaging (SMI), combining Vision Transformer (ViT) and radiomics features to predict central lymph node metastasis (CLNM) in thyroid cancer patients.

Method

In this retrospective diagnostic study, 310 patients with pathologically confirmed papillary thyroid carcinoma from two hospitals were included. We trained ViT models for B-mode and SMI, then extracted ViT and radiomics features from their video images. Initially, Single-modality models were developed, including the B-mode radiomics model (BMUS_RAD) and the B-mode ViT model (BMUS_ViT). Subsequently, Dual-modality models were constructed, encompassing the Dual-modality radiomics model (D

SUBMITTER: Zhu PF 

PROVIDER: S-EPMC12917971 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature