Intelligent virtual biopsy can predict fibrosis stage in chronic hepatitis C, combining ultrasonographic and laboratory parameters, with 100% accuracy
A Floares, M Lupsor, H Stefanescu, Z Sparchez, R Badea · Ultraschall in der Medizin - European Journal of Ultrasound · 2008 · Heft 05
Bibliografische Angaben
Zusammenfassung
Background and aims: The gold standard in evaluating fibrosis stage in chronic hepatitis C (CHC) patients is liver biopsy, a costly and invasive procedure. Alternatively, transient elastography (FibroScan®) performs well in identifying severe fibrosis or cirrhosis, but is less accurate in identifying lower degrees of fibrosis. We recently built a predictive model based on artificial intelligence for staging liver fibrosis in CHC patients, using several non-invasive approaches – routine laboratory tests and basic ultrasonographic parameters – and liver stiffness measurement (LSM). The accuracy of the model was 10…
