Establishing a radiomics model using contrast-enhanced ultrasound for preoperative prediction of neoplastic gallbladder polyps exceeding 10 mm

作者：Dong Jiang, Yi Qian, Yijun Gu, Ru Wang, Hua Yu, Z Wang, Hui Dong, Dongyu Chen, Yan Chen, Haozheng Jiang, Yiran Li · 发表于：European journal of medical research · 年份：2025 · DOI：10.1186/s40001-025-02292-1 · 被引用次数：5 · 研究领域：Cholangiocarcinoma and Gallbladder Cancer Studies、Radiomics and Machine Learning in Medical Imaging、Gallbladder and Bile Duct Disorders

BACKGROUND: A key challenge in the medical field is managing gallbladder polyps (GBP) > 10 mm, especially when their nature is uncertain. GBP with a diameter exceeding 10 mm are associated with an increased risk of gallbladder cancer, making the key to their management the differentiation between benign and malignant types. The current practice, due to the inability to predict accurately, leads to excessive surgeries and ineffective follow-ups, increasing patient risks and medical burdens. PURPOSE: This study aims to establish an imaging radiomics model using clinical data and contrast-enhanced ultrasound (CEUS) to predict neoplastic GBP exceeding 10 mm in diameter preoperatively. MATERIALS AND METHODS: Data from 119 patients with GBP > 10 mm of unknown origin were analyzed. A total of 1197 features were extracted from the GBP area using conventional ultrasound (US) and CEUS. Significant features were identified using the Mann-Whitney U test and further refined with a least absolute shrinkage and selection operator (LASSO) regression model to construct radiomic features. By integrating clinical characteristics, a radiomics nomogram was developed. The diagnostic efficacy of the preoperative logistic regression (LR) model was validated using receiver operating characteristic (ROC) curves, calibration plots, and the Hosmer-Lemeshow test. CEUS is an examination based on conventional ultrasound, and conventional two-dimensional ultrasound still poses significant challenges in diff...