Diagnostic performance of controlled attenuation parameter for predicting steatosis grade in chronic hepatitis B
Journal Title: Annals of Hepatology - Year 2015, Vol 14, Issue 6
Abstract
Background & aims. A novel controlled attenuation parameter (CAP) using the signals acquired by the FibroScan® has been developed as a method for evaluating steatosis. The aim of this study is to assess the performance of the CAP for the detection and quantification of steatosis in patients with chronic hepatitis B (CHB). Material and methods. 136 subjects with CHB underwent liver biopsy and FibroScan® within 60 days. CAP was evaluated retrospectively using raw FibroScan® data. Steatosis was graded as follows: S0 (steatosis < 10% of hepatocytes), S1 (10 to < 30%), S2 (30 to < 60%) or S3 (≥ 60%). Performance was evaluated by area under the receiver operating characteristic (AUROC) curve. Results. Proportions of each steatosis grade (S0-S3) were 78, 10, 9 and 3%, respectively. Using univariate analysis, liver stiffness measurement (LMS) significantly correlated with fibrosis (τ = 0.43; P < 10-10), sex, necro-inflammatory activity, steatosis, age, NASH, and perisinusoidal fibrosis, and with liver fibrosis (P < 10-8) and perisinusoidal fibrosis (P = 0.008) using multivariate analysis. CAP correlated with steatosis (τ = 0.38, P < 10-7), body mass index, NASH, fibrosis and perisinusoidal fibrosis using univariate analysis, but only steatosis (P < 10-10) and perisinusoidal fibrosis (P = 0.002) using multivariate analysis. AUROCs for LSM were: 0.77 (0.69-0.85), 0.87 (0.80-0.95), and 0.93 (0.83-1.00), respectively, for fibrosis stages F ≥ 2, F ≥ 3 and F = 4. AUROCs for CAP were: 0.82 (0.73-0.92), 0.82 (0.69-0.95), and 0.97 (0.84-1.00) for ≥ S1, ≥ S2 and S3 steatosis, respectively. Conclusions. In conclusión CAP is a novel, accurate non-invasive tool and may be suitable for detecting and quantifying steatosis in CHB patients.
Authors and Affiliations
Ana Cardoso, Michel Beaugrand, Victor de Ledinghen, Catherine Douvin, Raoul Poupon, Jean-Claude Trinchet, Marianne Ziol, Pierre Bedossa, Patrick Marcellin
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