An Image-Based Model for Assisting in Diagnosing Malignant Esophageal Lesions During Lugol Chromoendoscopic Examination.

ABSTRACT:

Introduction

Image-based diagnostic tools that aid endoscopists to biopsy putative esophageal malignant lesions are essential for ensuring the standardization and quality of Lugol chromoendoscopy. But there is no such model available yet.

Methods

We developed a diagnostic model using endoscopic Lugol-unstained lesions (LULs) features and baseline data from 1,099 individuals enrolled from a large-scale population-based ESCC screening cohort. Six hundred three participants from a clinical outpatient cohort were included as the external validation set. High-grade intraepithelial neoplasia and above lesions identified at baseline or within 1 year after screening were defined as outcome. The final model was determined using logistic regression analysis by the Akaike information c

SUBMITTER: Liu M 

PROVIDER: S-EPMC12101928 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature