DOI QR코드

DOI QR Code

Liver Shear-Wave Velocity and Serum Fibrosis Markers to Diagnose Hepatic Fibrosis in Patients with Chronic Viral Hepatitis B

  • Liu, Jianxue (Department of Ultrasonography, Baoji Central Hospital) ;
  • Ji, Yonghao (Department of Ultrasonography, Baoji Central Hospital) ;
  • Ai, Hong (Department of Ultrasonography, The First Affiliated Hospital of Medical College, Xi'an Jiaotong University) ;
  • Ning, Bo (Department of Infectious Disease, Baoji Central Hospital) ;
  • Zhao, Junzhi (Department of Ultrasonography, Baoji Central Hospital) ;
  • Zhang, Yaoren (Department of Ultrasonography, Baoji Central Hospital) ;
  • Dun, Guoliang (Department of Ultrasonography, Baoji Central Hospital)
  • Received : 2015.06.01
  • Accepted : 2016.01.28
  • Published : 2016.06.01

Abstract

Objective: To compare several noninvasive indices of fibrosis in chronic viral hepatitis B, including liver shear-wave velocity (SWV), hyaluronic acid (HA), collagen type IV (CIV), procollagen type III (PCIII), and laminin (LN). Materials and Methods: Acoustic radiation force impulse (ARFI) was performed in 157 patients with chronic viral hepatitis B and in 30 healthy volunteers to measure hepatic SWV (m/s) in a prospective study. Serum markers were acquired on the morning of the same day of the ARFI evaluation. Receiver operating characteristic (ROC) analysis was performed to evaluate and compare the accuracies of SWV and serum markers using METAVIR scoring from liver biopsy as a reference standard. Results: The most accurate test for diagnosing fibrosis $F{\geq}1$ was SWV with the area under the ROC curve (AUC) of 0.913, followed by LN (0.744), HA (0.701), CIV (0.690), and PCIII (0.524). The best test for diagnosing $F{\geq}2$ was SWV (AUC of 0.851), followed by CIV (0.671), HA (0.668), LN (0.562), and PCIII (0.550). The best test for diagnosing $F{\geq}3$ was SWV (0.854), followed by CIV (0.693), HA (0.675), PCIII (0.591), and LN (0.548). The best test for diagnosing F = 4 was SWV (0.965), followed by CIV (0.804), PCIII (0.752), HA (0.744), and LN (0.662). SWV combined with HA and CIV did not improve diagnostic accuracy (AUC = 0.931 for $F{\geq}1$, 0.863 for $F{\geq}2$, 0.855 for $F{\geq}3$, 0.960 for F = 4). Conclusion: The performance of SWV in diagnosing liver fibrosis is superior to that of serum markers. However, the combination of SWV, HA, and CIV does not increase the accuracy of diagnosing liver fibrosis and cirrhosis.

Keywords

Acknowledgement

Supported by : Foundation of Baoji City Health and Family Planning Commission

References

  1. Ahmad A, Ahmad R. Understanding the mechanism of hepatic fibrosis and potential therapeutic approaches. Saudi J Gastroenterol 2012;18:155-167 https://doi.org/10.4103/1319-3767.96445
  2. Mormone E, George J, Nieto N. Molecular pathogenesis of hepatic fibrosis and current therapeutic approaches. Chem Biol Interact 2011;193:225-231 https://doi.org/10.1016/j.cbi.2011.07.001
  3. Seki E, Brenner DA. Recent advancement of molecular mechanisms of liver fibrosis. J Hepatobiliary Pancreat Sci 2015;22:512-518 https://doi.org/10.1002/jhbp.245
  4. Manning DS, Afdhal NH. Diagnosis and quantitation of fibrosis. Gastroenterology 2008;134:1670-1681 https://doi.org/10.1053/j.gastro.2008.03.001
  5. Jin SY. [Role of liver biopsy in the assessment of hepatic fibrosis--its utility and limitations]. Korean J Hepatol 2007;13:138-145
  6. Regev A, Berho M, Jeffers LJ, Milikowski C, Molina EG, Pyrsopoulos NT, et al. Sampling error and intraobserver variation in liver biopsy in patients with chronic HCV infection. Am J Gastroenterol 2002;97:2614-2618 https://doi.org/10.1111/j.1572-0241.2002.06038.x
  7. Westin J, Lagging LM, Wejstal R, Norkrans G, Dhillon AP. Interobserver study of liver histopathology using the Ishak score in patients with chronic hepatitis C virus infection. Liver 1999;19:183-187 https://doi.org/10.1111/j.1478-3231.1999.tb00033.x
  8. Standish RA, Cholongitas E, Dhillon A, Burroughs AK, Dhillon AP. An appraisal of the histopathological assessment of liver fibrosis. Gut 2006;55:569-578 https://doi.org/10.1136/gut.2005.084475
  9. Castera L. Non-invasive assessment of liver fibrosis in chronic hepatitis C. Hepatol Int 2011;5:625-634 https://doi.org/10.1007/s12072-010-9240-0
  10. Poynard T, Ngo Y, Perazzo H, Munteanu M, Lebray P, Moussalli J, et al. Prognostic value of liver fibrosis biomarkers: a meta-analysis. Gastroenterol Hepatol (N Y) 2011;7:445-454
  11. Ziol M, Handra-Luca A, Kettaneh A, Christidis C, Mal F, Kazemi F, et al. Noninvasive assessment of liver fibrosis by measurement of stiffness in patients with chronic hepatitis C. Hepatology 2005;41:48-54 https://doi.org/10.1002/hep.20506
  12. Lupsor M, Badea R, Stefanescu H, Grigorescu M, Sparchez Z, Serban A, et al. Analysis of histopathological changes that influence liver stiffness in chronic hepatitis C. Results from a cohort of 324 patients. J Gastrointestin Liver Dis 2008;17:155-163
  13. Friedrich-Rust M, Wunder K, Kriener S, Sotoudeh F, Richter S, Bojunga J, et al. Liver fibrosis in viral hepatitis: noninvasive assessment with acoustic radiation force impulse imaging versus transient elastography. Radiology 2009;252:595-604 https://doi.org/10.1148/radiol.2523081928
  14. Sporea I, Sirli R, Bota S, Fierbinteanu-Braticevici C, Petrisor A, Badea R, et al. Is ARFI elastography reliable for predicting fibrosis severity in chronic HCV hepatitis? World J Radiol 2011;3:188-193 https://doi.org/10.4329/wjr.v3.i7.188
  15. Bedossa P, Poynard T. An algorithm for the grading of activity in chronic hepatitis C. The METAVIR Cooperative Study Group. Hepatology 1996;24:289-293 https://doi.org/10.1002/hep.510240201
  16. Rifai K, Cornberg J, Mederacke I, Bahr MJ, Wedemeyer H, Malinski P, et al. Clinical feasibility of liver elastography by acoustic radiation force impulse imaging (ARFI). Dig Liver Dis 2011;43:491-497 https://doi.org/10.1016/j.dld.2011.02.011
  17. Goertz RS, Amann K, Heide R, Bernatik T, Neurath MF, Strobel D. An abdominal and thyroid status with Acoustic Radiation Force Impulse Elastometry--a feasibility study: Acoustic Radiation Force Impulse Elastometry of human organs. Eur J Radiol 2011;80:e226-e230 https://doi.org/10.1016/j.ejrad.2010.09.025
  18. Bota S, Sporea I, Sirli R, Popescu A, Danila M, Sendroiu M, et al. Spleen assessment by Acoustic Radiation Force Impulse Elastography (ARFI) for prediction of liver cirrhosis and portal hypertension. Med Ultrason 2010;12:213-217
  19. Zhai L, Madden J, Foo WC, Palmeri ML, Mouraviev V, Polascik TJ, et al. Acoustic radiation force impulse imaging of human prostates ex vivo. Ultrasound Med Biol 2010;36:576-588 https://doi.org/10.1016/j.ultrasmedbio.2009.12.006
  20. Fahey BJ, Nightingale KR, Nelson RC, Palmeri ML, Trahey GE. Acoustic radiation force impulse imaging of the abdomen: demonstration of feasibility and utility. Ultrasound Med Biol 2005;31:1185-1198 https://doi.org/10.1016/j.ultrasmedbio.2005.05.004
  21. Fierbinteanu-Braticevici C, Andronescu D, Usvat R, Cretoiu D, Baicus C, Marinoschi G. Acoustic radiation force imaging sonoelastography for noninvasive staging of liver fibrosis. World J Gastroenterol 2009;15:5525-5532 https://doi.org/10.3748/wjg.15.5525
  22. Zhu CL, Li WT, Li Y, Gao RT. Serum levels of tissue inhibitor of metalloproteinase-1 are correlated with liver fibrosis in patients with chronic hepatitis B. J Dig Dis 2012;13:558-563 https://doi.org/10.1111/j.1751-2980.2012.00629.x
  23. Parsian H, Rahimipour A, Nouri M, Somi MH, Qujeq D. Assessment of liver fibrosis development in chronic hepatitis B patients by serum hyaluronic acid and laminin levels. Acta Clin Croat 2010;49:257-265
  24. Dong DR, Hao MN, Li C, Peng Z, Liu X, Wang GP, et al. Acoustic radiation force impulse elastography, FibroScan$^{(R)}$, Forns' index and their combination in the assessment of liver fibrosis in patients with chronic hepatitis B, and the impact of inflammatory activity and steatosis on these diagnostic methods. Mol Med Rep 2015;11:4174-4182 https://doi.org/10.3892/mmr.2015.3299
  25. Friedrich-Rust M, Nierhoff J, Lupsor M, Sporea I, Fierbinteanu-Braticevici C, Strobel D, et al. Performance of Acoustic Radiation Force Impulse imaging for the staging of liver fibrosis: a pooled meta-analysis. J Viral Hepat 2012;19:e212-e219 https://doi.org/10.1111/j.1365-2893.2011.01537.x
  26. Liu Y, Dong CF, Yang G, Liu J, Yao S, Li HY, et al. Optimal linear combination of ARFI, transient elastography and APRI for the assessment of fibrosis in chronic hepatitis B. Liver Int 2015;35:816-825 https://doi.org/10.1111/liv.12564
  27. Stibbe KJ, Verveer C, Francke J, Hansen BE, Zondervan PE, Kuipers EJ, et al. Comparison of non-invasive assessment to diagnose liver fibrosis in chronic hepatitis B and C patients. Scand J Gastroenterol 2011;46:962-972 https://doi.org/10.3109/00365521.2011.574725

Cited by

  1. RE: Liver Shear-Wave Velocity to Diagnose Hepatic Fibrosis in Patients with Chronic Viral Hepatitis B vol.17, pp.5, 2016, https://doi.org/10.3348/kjr.2016.17.5.822
  2. Quantitative Measurement of Hepatic Fibrosis with Gadoxetic Acid-Enhanced Magnetic Resonance Imaging in Patients with Chronic Hepatitis B Infection: A Comparative Study on Aspartate Aminotransferase t vol.18, pp.3, 2017, https://doi.org/10.3348/kjr.2017.18.3.444
  3. Selection and Reporting of Statistical Methods to Assess Reliability of a Diagnostic Test: Conformity to Recommended Methods in a Peer-Reviewed Journal vol.18, pp.6, 2017, https://doi.org/10.3348/kjr.2017.18.6.888
  4. Impact of Liver Fibrosis and Fatty Liver on T1rho Measurements: A Prospective Study vol.18, pp.6, 2016, https://doi.org/10.3348/kjr.2017.18.6.898
  5. Clinical usefulness and performance of acoustic radiation force impulse in patients with chronic hepatitis B vol.29, pp.6, 2017, https://doi.org/10.1097/meg.0000000000000842
  6. Evaluation of elastography combined with serological indexes for hepatic fibrosis in patients with chronic hepatitis B vol.24, pp.37, 2016, https://doi.org/10.3748/wjg.v24.i37.4272
  7. Performance of common imaging techniques vs serum biomarkers in assessing fibrosis in patients with chronic hepatitis B: A systematic review and meta-analysis vol.7, pp.15, 2016, https://doi.org/10.12998/wjcc.v7.i15.2022
  8. Synergistic antifibrotic effects of miR-451 with miR-185 partly by co-targeting EphB2 on hepatic stellate cells vol.11, pp.5, 2016, https://doi.org/10.1038/s41419-020-2613-y
  9. Ultrasound-based liver elastography in the assessment of fibrosis vol.75, pp.11, 2020, https://doi.org/10.1016/j.crad.2020.01.005
  10. Quantitative Evaluation of Gastrocnemius Medialis Stiffness During Passive Stretching Using Shear Wave Elastography in Patients with Parkinson's Disease: A Prospective Preliminary Study vol.22, pp.None, 2016, https://doi.org/10.3348/kjr.2020.1338
  11. Shear wave elastography accurately detects chronic changes in renal histopathology vol.26, pp.1, 2016, https://doi.org/10.1111/nep.13805
  12. Identification of growth differentiation factor 15 as a pro‐fibrotic factor in mouse liver fibrosis progression vol.102, pp.3, 2021, https://doi.org/10.1111/iep.12398
  13. Development and validation of a non-invasive model for diagnosing HBV-related liver cirrhosis vol.523, pp.None, 2016, https://doi.org/10.1016/j.cca.2021.11.004