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Abstract #2411

Diagnosis of LR-M in at risk patients: performances of serological tumor markers and LI-RADS version 2018 features

Hanyu Jiang1,2, Bin Song1, and Mustafa Shadi Rifaat Bashir2
1Department of Radiology, West China Hospital, Sichuan University, Chengdu, China, 2Department of Radiology, Duke University Medical Center, Durham, NC, United States

The aim of this study was to develop diagnostic models comprising serological tumor markers and gadoxetate disodium-enhanced magnetic resonance imaging (EOB-MRI) features for patients with LR-M lesions by LI-RADS version 2018 (v2018). We retrospectively analyzed prospectively collected data from 45 consecutive at risk patients with LR-M observations and generated diagnostic models for LR-M to predict tumors with a cholangiocarcinoma component (M-CC). Among these models, carbohydrate antigen (CA) 19-9 alone demonstrated excellent diagnostic specificity, while the model integrating both CA 19-9 and the EOB-MRI feature “blood products in mass” achieved optimal overall performance.

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