The utility of apparent diffusion coefficient values in predicting liver fibrosis in chronic hepatitis B

The utility of apparent diffusion coefficient values in predicting liver fibrosis in chronic hepatitis B

Aim: We aimed to determine the relationship between apparent diffusion coefficient (ADC) values obtained from diffusion-weighted images, histopathological fibrosis, and activity stages in patients with chronic hepatitis B infection. Material and Method: A total of 30 patients with chronic hepatitis B admitted to our hospital between September 2012 and June 2014 were included in the study. All patients underwent biopsy and abdomen MRI examination before the treatment. Diffusion examinations at five different b-values (50, 300, 500, 700, and 1000 s/mm2) were added to the abdominal MRI examination. Results: The hepatic ADC values at all b-values were negatively correlated with fibrosis stages (p<0.001 for all b-values). The ADC values at b-values 300 and 1000 were significantly lower in patient groups with histological activity indices 1 and higher compared to the patient group whose activity index was 0 (at b-value 300 p<0.034, and at b-value 1000 p<0.027). The ADC values at b-values 50, 500 and 700 were not significantly in patient groups with histological activity indices 1 and higher compared to the patient group whose activity index was 0. Hepatic ADC was a significant predictor of stage 2 or greater and stage 3 or greater fibrosis, with sensitivity of 81%-100% and 81%-96% , and specificity of 84,2%-100% and 100% (ADC with all b values). Conclusion: The ADC values have high sensitivity and specificity in indicating liver fibrosis in chronic hepatitis B infection. We suggest that the addition of diffusion-weighted MR images into liver MRI examination might reduce the requirement for liver biopsies in patients with chronic hepatitis B.

___

  • Zeng MD, Lu LG, Mao YM, et al. Prediction of significant fibrosis in HBeAg-positive patients with chronic hepatitis B by a noninvasive model. Hepatology 2005; 42: 1437- 45.
  • Afdhal NH, Nunes D. Evaluation of liver fibrosis: a concise review. Am J Gastroenterol 2004; 99: 1160-74.
  • Taouli B, Tolia AJ, Losada M, et al. Diffusion weighted MRI for quantification of liver fibrosis: preliminary experience. AJR 2007; 189: 799-806
  • Taouli B, Koh DM. Diffusion-weighted MR imaging of the liver. Radiology 2010; 254: 47-66.
  • The French METAVIR Cooperative Study Group. Intraobserver and interobserver variations in liver biopsy interpretion in patients with chronic hepatitis c. Hepatology 1994; 20: 15-20
  • Rockey DC, Bissell DM. Noninvasive measures of liver fibrosis. Hepatology 2006; 43:113-20
  • Rockey DC. Current and future anti-fibrotic therapies for chronic liver disease. Clin Liver Dis 2008; 12: 939-62.
  • Başar O, Yimaz B, Ekiz F, et al. Non-invasive tests in prediction of liver fibrosis in chronic hepatitis B and comparison with post-antiviral treatment results. Clin Res Hepatol Gastroenterol 2013; 37: 152-8.
  • Awaya H, Mitchell DG, Kamishima T, Holland G, Ito K, Matsumoto T. Cirrhosis: modified caudate-right lobe ratio. Radiology 2002; 224: 769-74.
  • Manning DS, Afdhal NH. Diagnosis and quantitation of fibrosis. Gastroenterology 2008; 134: 1670-81.
  • Fujimoto K, Tonan T, Azuma S, et al. Evaluation of the mean and entropy ofapparent diffusion coefficient values in chronic hepatitis C: correlation with pathologic fibrosis stage and inflammatory activity grade. Radiology 2011; 258: 739-48.
  • Vaziri-Bozorg SM, Ghasemi-Esfe AR, Khalilzadeh O, et al. Diffusion-weighted magnetic resonance imaging for diagnosis of liver fibrosis and inflammation in chronic viral hepatitis: the performance of low or high B values and small or large regions of interest. Can Assoc Radiol J 2012; 63: 304-11.
  • Boulanger Y, Amara M, Lepanto L, et al. Diffusion-weighted MR imaging of the liver of hepatitis C patients. NMR Biomed 2003; 16: 132-6.
  • Annet L, Peeters F, Abarca-Quinones J, Leclercq I, Moulin P, Van Beers BE. Assessment of diffusion-weighted MR imaging in liver fibrosis. J Magn Reson Imaging 2007; 25: 122-8.
  • Lewin M, Poujol-Robert A, Boëlle PY, et al. Diffusion-weighted magnetic resonance imaging for the assessment of fibrosis in chronic hepatitis C. Hepatology 2007; 46: 658- 65 .
  • Koinuma M, Ohashi I, Hanafusa K, Shibuya H. Apparent diffusion coefficient measurements with diffusion-weighted magnetic resonance imaging for evaluation of hepatic fibrosis. J Magn Reson Imaging 2005;22: 80-85
  • Chang TT, Liaw YF, Wu SS, et al. Long-term entecavir therapy results in the reversal of fibrosis/cirrhosis and continued histological improvement in patients with chronic hepatitis B. Hepatology 2010; 52: 886-893.
  • Kim JK, Ma DW, Lee KS, Paik YH. Assessment of hepatic fibrosis regression by transient elastography in patients with chronic hepatitis B treated with oral antiviral agents. J Korean Med Sci 2014; 29: 570-5.
  • Hsu FO, Chiou YY, Chen CY, et al. Diffusion-weighted magnetic resonance imaging of the liver in hepatitis B patients with Child-Pugh a cirrhosis. Kaohsiung J Med Sci 2007; 23: 442-6.
  • Pan Z, Meng F, Hu Y, Zhang X, Chen Y. Fat- and iron-corrected ADC to assess liver fibrosis in patients with chronic hepatitis B. Diagn Interv Radiol 2022; 28: 5-11.
  • Fu F, Li X, Chen C, et al. Non-invasive assessment of hepatic fibrosis: comparison of MR elastography to transient elastography and intravoxel incoherent motion diffusion-weighted MRI. Abdom Radiol (NY) 2020; 45: 73-82.
  • Sheng RF, Jin KP, Yang L, et al. Histogram Analysis of Diffusion Kurtosis Magnetic Resonance Imaging for Diagnosis of Hepatic Fibrosis. Korean J Radiol 2018; 19: 916-922.
  • Kromrey ML, Le Bihan D, Ichikawa S, Motosugi U. Diffusion-weighted MRI-based Virtual Elastography for the Assessment of Liver Fibrosis. Radiology 2020; 295: 127-135.
  • Fu F, Li X, Liu Q, et al. Noninvasive DW-MRI metrics for staging hepatic fibrosis and grading inflammatory activity inpatients with chronic hepatitis B. Abdom Radiol 2021; 46: 1864-75.
  • Zheng Y, Xu YS, Liu Z, et al. Whole-liver apparent diffusion coefficient histogram analysis for the diagnosis and staging of liver fibrosis. J Magn Reson Imaging 2020; 51: 1745-54.
  • Jiang H, Chen J, Gao R, Huang Z, Wu M, Song B. Liver fibrosis staging with diffusion-weighted imaging: a systematic review and meta-analysis. Abdom Radiol 2017; 42: 490-501.
Journal of Health Sciences and Medicine-Cover
  • Yayın Aralığı: Yılda 6 Sayı
  • Başlangıç: 2018
  • Yayıncı: MediHealth Academy Yayıncılık