ArticleAbdominal radiology (New York)2026
MRCP-derived radiomics features associated with biliary dilation: a multi-step feature reduction, multivariable regression, and diagnostic classification study.
Article in Abdominal radiology (New York), 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
purposeTo identify MRCP-derived radiomics features associated with image-defined biliary dilation, evaluate their independence from demographic confounders, and assess diagnostic classification performance, including in borderline-caliber cases.
methodsIn this retrospective cross-sectional study, 135 patients (dilated: n = 60; non-dilated: n = 75) who underwent clinically indicated MRCP (September 2025-January 2026) were included. Two blinded radiologists independently classified biliary dilation (Cohen's kappa = 0.87). Three-dimensional CBD segmentation was performed in 3D Slicer (v5.10.0), with feature extraction using PyRadiomics in compliance with IBSI guidelines. Feature reduction applied sequential reproducibility filtering (ICC (2,1) ≥ 0.80), low-variance filtering, Spearman correlation filtering (|r| > 0.90), Benjamini-Hochberg FDR correction (q < 0.05), and Cliff's delta thresholding (|δ| > 0.5). Multivariable linear regression adjusted for age, sex, and post-cholecystectomy status. Shape features were excluded from classification analyses to avoid incorporation bias. Three classifiers (Random Forest, Logistic Regression, and Naïve Bayes) were trained on the seven Bonferroni-confirmed texture features using five-fold stratified cross-validation. A post hoc exploratory analysis in borderline CBD caliber (6-10 mm; n = 45) used a two-feature model with internal tenfold cross-validation.
resultsTwelve features met selection thresholds: four shape and eight texture features. The strongest discriminators were RunLengthNonUniformity (δ = 0.870; q = 1.09 × 10
conclusionMRCP-derived radiomic features are associated with image-defined CBD dilation and show exploratory internal cross-validated diagnostic performance, including in borderline cases, using standard clinical acquisitions. Prospective multicenter validation with independent clinical reference standards is required before clinical implementation.
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