Send to:

Choose Destination
See comment in PubMed Commons below
J Hepatol. 2010 Feb;52(2):191-8. doi: 10.1016/j.jhep.2009.11.008. Epub 2009 Nov 24.

Prospective comparison of two algorithms combining non-invasive methods for staging liver fibrosis in chronic hepatitis C.

Author information

  • 1Service d'Hépato-Gastroentérologie, Hôpital Haut-Lévêque, Centre Hospitalier Universitaire (C.H.U.) de Bordeaux, Pessac, France.



Non-invasive assessment of liver fibrosis is a challenging area. Several methods have been proposed in patients with chronic hepatitis C (CHC) but their performance may be improved when they are combined as suggested by recently proposed algorithms using either transient elastography (TE) and Fibrotest (FT) (Castera) or AST-to-Platelet Ratio Index (APRI) and FT (SAFE biopsy). The aim of this prospective study was to compare the performance of these two algorithms for diagnosing significant fibrosis and cirrhosis in 302 CHC patients.


All patients underwent TE, FT and APRI the same day as liver biopsy, taken as reference standard.


Significant fibrosis (Metavir F>or=2) was present in 76% of patients and cirrhosis (F4) in 25%. TE failure was observed in eight cases (2.6%). For significant fibrosis, Castera algorithm saved 23% more liver biopsies (71.9% vs. 48.3%, respectively; p<0.0001) than SAFE biopsy but its accuracy was significantly lower (87.7% vs. 97.0%, respectively; p<0.0001). Regarding cirrhosis, accuracy of Castera algorithm was significantly higher than that of SAFE biopsy (95.7% vs. 88.7%, respectively; p<0.0001). The number of saved liver biopsies did not differ between the two algorithms (78.8% vs. 74.8%; p=NS).


Both algorithms are effective for non-invasive staging of liver fibrosis in chronic hepatitis C. Although the number of liver biopsies avoided does not differ between algorithms for diagnosing cirrhosis, it is significantly higher with Castera algorithm than SAFE biopsy for significant fibrosis.

[PubMed - indexed for MEDLINE]
PubMed Commons home

PubMed Commons

How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Elsevier Science
    Loading ...
    Write to the Help Desk