ArticleEuropean radiology experimental2026
Pharmacokinetic modelling of MRI-based liver function for risk assessment in primary sclerosing cholangitis: a prospective pilot study.
Article in European radiology experimental, 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
objectivePrimary sclerosing cholangitis (PSC) is a rare fibroinflammatory hepatobiliary disease with a highly variable clinical course. Identifying patients at risk for poor outcomes remains challenging. Magnetic resonance imaging (MRI)-based approaches such as DiStrict, Anali score, and relative enhancement (RE) show promise but are limited by operator dependency or static measurements. This study explored pharmacokinetic modelling of liver function as a quantitative imaging biomarker for risk assessment in PSC. MATERIALS AND
methodsA prospective cohort of 26 PSC patients underwent up to five annual MRI examinations with follow-up up to 7.5 years. Clinical endpoints included liver transplantation, decompensated cirrhosis, and cholangiocarcinoma. Correlation and receiver operating characteristics (ROC) analyses compared the pharmacokinetic model with Anali scores, RE, model for end-stage liver disease (MELD), and the Amsterdam-Oxford Model (AOM).
resultsThe pharmacokinetic model (k
conclusionPharmacokinetic liver function modelling correlated strongly with MELD and AOM, effectively identifying high-risk PSC patients. RELEVANCE STATEMENT: Pharmacokinetic liver function modelling detects functional impairment in PSC, correlating well with established tools such as the AOM. As an objective, quantitative imaging biomarker, this method may complement established risk scores and aid in the identification of patients at risk of adverse outcomes. KEY POINTS: Pharmacokinetic modelling estimates changes in liver function based on MRI. These estimates can be used as a prognostic tool in PSC. The model's prognostic performance was comparable to established clinical tests.
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