Controlled attenuation parameter value-based diagnostic algorithm improves the accuracy of liver stiffness measurement in chronic hepatitis B patients

• Published in: Aging (Albany, NY.) Vol. 12; no. 16; pp. 16072 - 16082
• Main Authors: Fan, Yaoxin, Wang, Lin, Ding, Yang, Sheng, Qiuju, Zhang, Chong, Li, Yanwei, Han, Chao, Dou, Xiaoguang
• Format: Journal Article
• Language: English
• Published: United States Impact Journals 24.08.2020
• Subjects: Adult; Algorithms; Biopsy; Cross-Sectional Studies; Elasticity Imaging Techniques; Female; Hepatitis B, Chronic - complications; Hepatitis B, Chronic - diagnosis; Hepatitis B, Chronic - virology; Humans; Image Interpretation, Computer-Assisted; Liver - diagnostic imaging; Liver - pathology; Liver - virology; Liver Cirrhosis - diagnostic imaging; Liver Cirrhosis - pathology; Liver Cirrhosis - virology; Male; Predictive Value of Tests; Reproducibility of Results; Research Paper; Retrospective Studies; Severity of Illness Index; chronic hepatitis B; diagnostic algorithm; controlled attenuation parameter; liver fibrosis measurement
• ISSN: 1945-4589; 1945-4589
• DOI: 10.18632/aging.103522

Liver stiffness measurement (LSM) frequently overestimates the severity of liver fibrosis because of steatosis. However, the impact of the controlled attenuation parameter (CAP) on liver stiffness cutoff values remains unknown; CAP was used to quantify and diagnose the severity of hepatic steatosis. The study was conducted to determine the effect of CAP on liver stiffness cutoff values in chronic hepatitis B (CHB) patients. A retrospective cross-sectional study was performed in liver biopsy-proven CHB patients. The median LSM (kPa) in the elevated CAP group was higher than that in the normal CAP group at the same fibrosis stage. For S2-4, the area under the receiver operating characteristic (AUROC) curve of LSM was 0.78 and 0.72 in the normal and elevated CAP groups, respectively. When a cutoff value of 8.9 kPa was used, the diagnostic accuracy was 77.82% and 63.41% in the normal and elevated CAP groups, respectively. Compared with the alanine transaminase (ALT)-based LSM algorithm, the CAP-based LSM algorithm had a similar correct diagnosis rate (33.64% vs. 33.94%, respectively) but a lower misdiagnosis rate (16.97% vs. 20.30%, respectively). The new CAP-based LSM diagnostic algorithm will improve the diagnostic accuracy of liver fibrosis in CHB patients.