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Copyright: ©Author(s) 2026.
World J Gastrointest Surg. Nov 27, 2026; 18(11): 125633
Published online Nov 27, 2026. doi: 10.4240/wjgs.125633
Table 1 Key imaging findings, diagnostic interpretation, and sources of overlap between xanthogranulomatous cholecystitis and gallbladder carcinoma
Imaging finding
Typical interpretation
Relative diagnostic value
Why it favors this diagnosis
Source of diagnostic overlap
Diffuse wall thickeningXGCModerateChronic transmural inflammationMay occur in infiltrative GBC
Continuous mucosal lineXGCHigherRelative preservation of mucosal integrityCan be partially preserved in early GBC
Intramural hypoattenuating nodulesXGCHigherXanthogranulomatous inflammationNot universally present
GallstonesXGCLimitedChronic obstruction and inflammationCommon in both diseases
Intraluminal massGBCModerateNeoplastic tissue proliferationInflammatory pseudotumoral lesions may mimic mass formation
LymphadenopathyGBCModerateRegional tumor spreadReactive inflammatory nodes may occur in XGC
Biliary obstructionGBCModerateDuctal invasion or compressionSevere inflammatory disease may produce similar findings
Hepatic invasionGBCHigherDirect local extensionInflammatory infiltration may mimic true invasion
Vascular encasementGBCHigherAdvanced locoregional diseaseRare inflammatory pseudoinvasion
Table 2 Representative diagnostic and predictive models developed for the differentiation of xanthogranulomatous cholecystitis and gallbladder carcinoma
Ref.
Study design/country
Diagnostic framework
Population
External validation
Performance
Principal limitations
Goshima et al[30], 2010Retrospective, single-center/JapanCT-based pattern assessment using five imaging findings18 XGC/17 GBCNoAccuracy 91% when ≥ 3 characteristic CT findings were presentVery small retrospective cohort; CT-based assessment only; no external validation
Xiao et al[28], 2022Retrospective, single-center/ChinaIntegrated clinical, laboratory, and radiological assessment90 XGC/150 GBCNoMucosal line continuity and low-density border showed the highest discriminatory valueSingle-center retrospective design; no independent validation; limited performance of individual features
Han et al[34], 2024Retrospective, single-center/South KoreaMultiparametric magnetic resonance imaging scoring system23 XGC/35 GBCNoAUC 0.972Small selected cohort restricted to wall-thickening-type GBC; no external validation
Fu et al[35], 2024Retrospective, two-center/ChinaMachine-learning-assisted clinical, laboratory, and imaging nomogram290 development/146 external validationYes, independent second centerDevelopment AUC 0.936; consistent performance in external validationRetrospective design; geographically restricted population; limited prospective clinical evaluation
Zhang et al[36], 2025Retrospective, four-center/ChinaLIDGAX multimodal machine-learning model integrating clinical, laboratory, and imaging variables1246 total; 674 training, 169 internal validation, 279 external testing, and 124 real-world evaluationYes, independent multicenter external testingAUC 0.94 internal validation; 0.88 external testing; 0.95 real-world evaluationRetrospective design; all centers from a single country/region; dependence on multimodal imaging availability; prospective impact on surgical outcomes not yet established


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