Diffusion-weighted magnetic resonance imaging and micro-RNA in the diagnosis of hepatic fibrosis in chronic hepatitis C virus

• Published in: World journal of gastroenterology : WJG 2019-03, Vol.25 (11), p.1366-1377
• Main Authors: Besheer, Tarek, Elalfy, Hatem, Abd El-Maksoud, Mohamed, Abd El-Razek, Ahmed, Taman, Saher, Zalata, Khaled, Elkashef, Wagdy, Zaghloul, Hossam, Elshahawy, Heba, Raafat, Doaa, Elemshaty, Wafaa, Elsayed, Eman, El-Gilany, Abdel-Hady, El-Bendary, Mahmoud
• Format: Article
• Language: English
• Subjects: Adult; Biomarkers - blood; Biopsy; Case Control Study; Case-Control Studies; Circulating MicroRNA - blood; Diffusion Magnetic Resonance Imaging; Disease Progression; Female; Gene Expression Profiling; Hepatitis C, Chronic - pathology; Hepatitis C, Chronic - virology; Humans; Image Processing, Computer-Assisted; Liver - diagnostic imaging; Liver - pathology; Liver Cirrhosis - blood; Liver Cirrhosis - diagnostic imaging; Liver Cirrhosis - pathology; Liver Cirrhosis - virology; Male; Middle Aged; Prospective Studies; ROC Curve
• ISSN: 1007-9327; 2219-2840
• DOI: 10.3748/wjg.v25.i11.1366

Diffusion-weighted magnetic resonance imaging has shown promise in the detection and quantification of hepatic fibrosis. In addition, the liver has numerous endogenous micro-RNAs (miRs) that play important roles in the regulation of biological processes such as cell proliferation and hepatic fibrosis. To assess diffusion-weighted magnetic resonance imaging and miRs in diagnosing and staging hepatic fibrosis in patients with chronic hepatitis C. This prospective study included 208 patients and 82 age- and sex-matched controls who underwent diffusion-weighted magnetic resonance imaging of the abdomen, miR profiling, and liver biopsy. Pathological scoring was classified according to the METAVIR scoring system. The apparent diffusion coefficient (ADC) and miR were calculated and correlated with pathological scoring. The ADC value decreased significantly with the progression of fibrosis, from controls (F0) to patients with early fibrosis (F1 and F2) to those with late fibrosis (F3 and F4) (median 1.92, 1.53, and 1.25 × 10 mm /s, respectively) ( = 0.001). The cut-off ADC value used to differentiate patients from controls was 1.83 × 10 mm /s with an area under the curve (AUC) of 0.992. Combining ADC and miR-200b revealed the highest AUC (0.995) for differentiating patients from controls with an accuracy of 96.9%. The cut-off ADC used to differentiate early fibrosis from late fibrosis was 1.54 × 10 mm /s with an AUC of 0.866. The combination of ADC and miR-200b revealed the best AUC (0.925) for differentiating early fibrosis from late fibrosis with an accuracy of 80.2%. The ADC correlated with miR-200b ( = - 0.61, = 0.001), miR-21 ( = - 0.62, = 0.001), and miR-29 ( = 0.52, = 0.001). Combining ADC and miRs offers an alternative surrogate non-invasive diagnostic tool for diagnosing and staging hepatic fibrosis in patients with chronic hepatitis C.