ArticleFrontiers in medicine2026
Preoperative differentiation of benign and malignant gallbladder lesions using multimodal ultrasound radiomics: a retrospective study.
Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Objectives: This study aims to develop and validate a multimodal ultrasound radiomics model to differentiate benign from malignant gallbladder lesions preoperatively by integrating conventional ultrasound, contrast-enhanced ultrasound (CEUS), and clinical indicators. Methods: This retrospective study included 166 patients with histopathologically confirmed gallbladder lesions (36 malignant and 130 benign), divided in a 4:1 ratio into a cross-validation set ( Results: Among the clinical and semantic ultrasound variables, maximum lesion diameter, CEUS-derived base width, triglyceride, and high-density lipoprotein cholesterol differed significantly between benign and malignant lesions. In the cross-validation set, the conventional ultrasound, CEUS, and combined models achieved AUCs of 0.814 (95% CI: 0.689-0.938), 0.848 (95% CI: 0.764-0.932), and 0.936 (95% CI: 0.887-0.986), respectively. In the independent test set, the corresponding AUCs were 0.820 (95% CI: 0.664-0.976), 0.915 (95% CI: 0.818-1.000), and 0.920 (95% CI: 0.823-1.000). The difference between the CEUS and combined models was not significant ( Conclusions: The combined conventional ultrasound and CEUS radiomics model showed favorable discrimination and a balanced sensitivity-specificity profile in differentiating benign from malignant gallbladder lesions. Although its AUC was comparable to that of the CEUS radiomics model and its statistical superiority was not established, multimodal feature integration may provide complementary diagnostic information. Integration of radiomics signatures with clinical and imaging variables may support individualized preoperative risk stratification, but the incremental clinical value of this approach requires prospective multicenter validation.
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