Combination of Transient Elastography and an Enhanced Liver Fibrosis Test to Assess the Degree of Liver Fibrosis in Patients with Chronic Hepatitis B.
- Author:
Ja Yoon HEO
1
;
Beom Kyung KIM
;
Jun Yong PARK
;
Do Young KIM
;
Sang Hoon AHN
;
Hyon Suk KIM
;
Young Nyun PARK
;
Kwang Hyub HAN
;
Kijun SONG
;
Seung Up KIM
Author Information
- Publication Type:Original Article
- Keywords: Hepatitis B; chronic; Enhanced liver fibrosis; Liver cirrhosis; Transient elastography; Liver stiffness
- MeSH: Biopsy; Elasticity Imaging Techniques*; Fibrosis; Hepatitis B; Hepatitis B, Chronic*; Hepatitis, Chronic*; Humans; Liver Cirrhosis*; Liver*; ROC Curve
- From:Gut and Liver 2018;12(2):190-200
- CountryRepublic of Korea
- Language:English
- Abstract: BACKGROUND/AIMS: Liver stiffness (LS) was assessed using transient elastography, and the enhanced liver fibrosis (ELF) test was performed to accurately assess fibrotic burden. We validated the LS-ELF algorithm and investigated whether the sequential LS-ELF algorithm performs better than concurrent combination of these analyses in chronic hepatitis B (CHB) patients. METHODS: Between 2009 and 2013, 222 CHB patients who underwent liver biopsy (LB), as well as LS measurement and the ELF test, were enrolled. RESULTS: Advanced fibrosis (≥F3) and cirrhosis (F4) were identified in 141 (63.6%) and 118 (53.2%) patients, respectively. Areas under receiver operating characteristic curve for LS predictions of ≥F3 (0.887 vs 0.703) and F4 (0.853 vs 0.706) were significantly higher than the ELF test (all p < 0.001). Based on the LS-ELF algorithm, 60.4% to 71.6% and 55.7% to 66.3% of patients could have avoided LB to exclude ≥F3 and F4, respectively, whereas 68.0% to 78.7% and 63.5% to 66.1% of patients could have avoided LB to confirm ≥F3 and F4, respectively. When confirmation and exclusion strategies were applied simultaneously, 69.4% to 72.5% and 60.8% to 65.3% of patients could have avoided LB and been diagnosed as ≥F3 and F4, respectively. The proportion of patients who correctly avoided LB for the prediction of ≥F3 (69.4% to 72.5% vs 42.3% to 59.0%) and F4 (60.8% to 65.3% vs 23.9% to 49.5%) based on the sequential LS-ELF algorithm was significantly higher than the concurrent combination (all p < 0.05). CONCLUSIONS: The sequential LS-ELF algorithm conferred a greater probability of avoiding LB in CHB patients to diagnose advanced fibrosis and cirrhosis, and this test performed significantly better than the concurrent combination.
