Predicting cholangiocarcinoma in primary sclerosing cholangitis: using artificial intelligence, clinical and laboratory data

Predicting cholangiocarcinoma in primary sclerosing cholangitis: using artificial intelligence, clinical and laboratory data

Abstract Background Primary sclerosing cholangitis (PSC) patients have a risk of developing cholangiocarcinoma (CCA). Establishing predictive models for CCA in PSC is important. Methods In a large cohort of 1,459 PSC patients seen at Mayo Clinic (1993–2020), we quantified the impact of clinical/labo...

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Bibliographic Details
Main Authors: Chang Hu, Ravishankar K. Iyer, Brian D. Juran, Bryan M. McCauley, Elizabeth J. Atkinson, John E. Eaton, Ahmad H. Ali, Konstantinos N. Lazaridis
Format: Article
Language:English
Published: BMC 2023-04-01
Series:BMC Gastroenterology
Subjects:
Primary sclerosing cholangitis
Cholangiocarcinoma
Risk factors
Artificial intelligence
Bile acids
Online Access:https://doi.org/10.1186/s12876-023-02759-7

Internet

https://doi.org/10.1186/s12876-023-02759-7

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