Performance of magnetic resonance elastography and diffusion-weighted imaging for the staging of hepatic fibrosis: A meta-analysis

Hepatology

Volumn 56, Issue 1, 2012, Pages 239-247

  Wang, Qing Bing ^a   Zhu, Hui ^b,c   Liu, Hai Ling ^a   Zhang, Bei ^a,d  

^a The Central Hospital of Minhang District   (China)

^b FUDAN UNIVERSITY SHANGHAI CANCER CENTER   (China)

^c FUDAN UNIVERSITY   (China)

^d SHANGHAI JIAO TONG UNIVERSITY SCHOOL OF MEDICINE   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AREA UNDER THE CURVE; ARTICLE; DIAGNOSTIC ACCURACY; DIFFUSION WEIGHTED IMAGING; DISEASE CLASSIFICATION; ELASTOGRAPHY; HISTOPATHOLOGY; HUMAN; LIVER FIBROSIS; MAGNETIC RESONANCE ELASTOGRAPHY; META ANALYSIS; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; STAGING;

ADULT; AGED; COHORT STUDIES; DIFFUSION MAGNETIC RESONANCE IMAGING; ELASTICITY IMAGING TECHNIQUES; FEMALE; HUMANS; LIVER CIRRHOSIS; MALE; MIDDLE AGED; PROSPECTIVE STUDIES; SENSITIVITY AND SPECIFICITY; SEVERITY OF ILLNESS INDEX;

EID: 84863509606     PISSN: 02709139     EISSN: 15273350     Source Type: Journal    
DOI: 10.1002/hep.25610     Document Type: Article

References (61)

1. Wallace K, Burt AD, Wright MC. Liver fibrosis. Biochem J 2008; 411: 1-18.
2. Tangkijvanich P, Yee HF, Jr. Cirrhosis-can we reverse hepatic fibrosis? Eur J Surg Suppl 2002: 100-112.
3. Riley TR, 3rd, Bhatti AM. Preventive strategies in chronic liver disease: part II. Cirrhosis. Am Fam Physician 2001; 64: 1735-1740.
4. Lotersztajn S, Julien B, Teixeira-Clerc F, Grenard P, Mallat A. Hepatic fibrosis: molecular mechanisms and drug targets. Annu Rev Pharmacol Toxicol 2005; 45: 605-628.
5. Friedman SL, Bansal MB. Reversal of hepatic fibrosis-fact or fantasy? HEPATOLOGY 2006; 43: S82-S88.
6. Germani G, Hytiroglou P, Fotiadu A, Burroughs AK, Dhillon AP. Assessment of fibrosis and cirrhosis in liver biopsies: an update. Semin Liver Dis 2011; 31: 82-90.
7. Castera L. Invasive and non-invasive methods for the assessment of fibrosis and disease progression in chronic liver disease. Best Pract Res Clin Gastroenterol 2011; 25: 291-303.
8. Ghany MG, Strader DB, Thomas DL, Seeff LB. Diagnosis, management, and treatment of hepatitis C: an update. HEPATOLOGY 2009; 49: 1335-1374.
9. Bedossa P. Liver biopsy. Gastroenterol Clin Biol 2008; 32: 4-7.
10. Afdhal NH, Nunes D. Evaluation of liver fibrosis: a concise review. Am J Gastroenterol 2004; 99: 1160-1174.
11. Bedossa P. Assessment of hepatitis C: non-invasive fibrosis markers and/or liver biopsy. Liver Int 2009; 29( Suppl 1): 19-22.
12. Wang QB, Han Y, Jiang TT, Chai WM, Chen KM, Liu BY, et al. MR imaging of activated hepatic stellate cells in liver injured by CCl4 of rats with integrin-targeted ultrasmall superparamagnetic iron oxide. Eur Radiol 2011; 21: 1016-1025.
13. Martinez SM, Crespo G, Navasa M, Forns X. Noninvasive assessment of liver fibrosis. HEPATOLOGY 2011; 53: 325-335.
14. Lin ZH, Xin YN, Dong QJ, Wang Q, Jiang XJ, Zhan SH, et al. Performance of the aspartate aminotransferase-to-platelet ratio index for the staging of hepatitis C-related fibrosis: an updated meta-analysis. HEPATOLOGY 2011; 53: 726-736.
15. Friedrich-Rust M, Ong MF, Martens S, Sarrazin C, Bojunga J, Zeuzem S, Herrmann E. Performance of transient elastography for the staging of liver fibrosis: a meta-analysis. Gastroenterology 2008; 134: 960-974.
16. Faria SC, Ganesan K, Mwangi I, Shiehmorteza M, Viamonte B, Mazhar S, et al. MR imaging of liver fibrosis: current state of the art. Radiographics 2009; 29: 1615-1635.
17. Talwalkar JA, Yin M, Fidler JL, Sanderson SO, Kamath PS, Ehman RL. Magnetic resonance imaging of hepatic fibrosis: emerging clinical applications. HEPATOLOGY 2008; 47: 332-342.
18. Hagiwara M, Rusinek H, Lee VS, Losada M, Bannan MA, Krinsky GA, Taouli B. Advanced liver fibrosis: diagnosis with 3D whole-liver perfusion mr imaging-initial experience1. Radiology 2008; 246: 926-934.
19. McPherson S, Jonsson JR, Cowin GJ, O'Rourke P, Clouston AD, Volp A, et al. Magnetic resonance imaging and spectroscopy accurately estimate the severity of steatosis provided the stage of fibrosis is considered. J Hepatol 2009; 51: 389-397.
20. Orlacchio A, Bolacchi F, Cadioli M, Bergamini A, Cozzolino V, Angelico M, Simonetti G. Evaluation of the severity of chronic hepatitis C with 3-T1H-MR spectroscopy. Am J Roentgenol 2008; 190: 1331-1339.
21. Friedrich-Rust M, Muller C, Winckler A, Kriener S, Herrmann E, Holtmeier J, et al. Assessment of liver fibrosis and steatosis in PBC with FibroScan, MRI, MR-spectroscopy, and serum markers. J Clin Gastroenterol 2010; 44: 58-65.
22. Whiting P, Rutjes AW, Reitsma JB, Bossuyt PM, Kleijnen J. The development of QUADAS: a tool for the quality assessment of studies of diagnostic accuracy included in systematic reviews. BMC Med Res Methodol 2003; 3: 25.
23. Hollingworth W, Medina LS, Lenkinski RE, Shibata DK, Bernal B, Zurakowski D, et al. Interrater reliability in assessing quality of diagnostic accuracy studies using the QUADAS tool. A preliminary assessment. Acad Radiol 2006; 13: 803-810.
24. Whiting P, Harbord R, de Salis I, Egger M, Sterne J. Evidence-based diagnosis. J Health Serv Res Policy 2008; 13( Suppl 3): 57-63.
25. Fujimoto K, Tonan T, Azuma S, Kage M, Nakashima O, Johkoh T, et al. Evaluation of the mean and entropy of apparent diffusion coefficient values in chronic hepatitis C: correlation with pathologic fibrosis stage and inflammatory activity grade. Radiology 2011; 258: 739-748.
26. Wang Y, Ganger DR, Levitsky J, Sternick LA, McCarthy RJ, Chen ZE, et al. Assessment of chronic hepatitis and fibrosis: comparison of MR elastography and diffusion-weighted imaging. Am J Roentgenol 2011; 196: 553-561.
27. Glas AS, Lijmer JG, Prins MH, Bonsel GJ, Bossuyt PMM. The diagnostic odds ratio: a single indicator of test performance. J Clin Epidemiol 2003; 56: 1129-1135.
28. Reitsma JB, Glas AS, Rutjes AW, Scholten RJ, Bossuyt PM, Zwinderman AH. Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews. J Clin Epidemiol 2005; 58: 982-990.
29. Chu H, Cole SR. Bivariate meta-analysis of sensitivity and specificity with sparse data: a generalized linear mixed model approach. J Clin Epidemiol 2006; 59: 1331-1332; author reply, 1332-1333.
30. Xing Y, Bronstein Y, Ross MI, Askew RL, Lee JE, Gershenwald JE, et al. Contemporary diagnostic imaging modalities for the staging and surveillance of melanoma patients: a meta-analysis. J Natl Cancer Inst 2011; 103: 129-142.
31. Dave M, Elmunzer BJ, Dwamena BA, Higgins PD. Primary sclerosing cholangitis: meta-analysis of diagnostic performance of MR cholangiopancreatography. Radiology 2010; 256: 387-396.
32. Harbord RM, Deeks JJ, Egger M, Whiting P, Sterne JA. A unification of models for meta-analysis of diagnostic accuracy studies. Biostatistics 2007; 8: 239-251.
33. Walter SD. Properties of the summary receiver operating characteristic (SROC) curve for diagnostic test data. Stat Med 2002; 21: 1237-1256.
34. Altman DG, Bland JM. Interaction revisited: the difference between two estimates. BMJ 2003; 326: 219.
35. Higgins J, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med 2002; 21: 1539-1558.
36. Ioannidis JP. Interpretation of tests of heterogeneity and bias in meta-analysis. J Eval Clin Pract 2008; 14: 951-957.
37. Naggara ON, White PM, Guilbert F, Roy D, Weill A, Raymond J. Endovascular treatment of intracranial unruptured aneurysms: systematic review and meta-analysis of the literature on safety and efficacy. Radiology 2010; 256: 887-897.
38. Sterne JAC, Harbord RM. Funnel plots in meta-analysis. Stata J 2004; 4: 127-141.
39. Egger M, Smith GD, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ 1997; 315: 629-634.
40. Shi Y, Guo QY, Liao W, Ma Y, Qi WX. MR diffusion weighted imaging for quantification of liver fibrosis in patients with chronic viral hepatitis. Chin J Radiol 2010; 44: 65-69.
41. Patel J, Sigmund EE, Rusinek H, Oei M, Babb JS, Taouli B. Diagnosis of cirrhosis with intravoxel incoherent motion diffusion MRI and dynamic contrast-enhanced MRI alone and in combination: preliminary experience. J Magn Reson Imaging 2010; 31: 589-600.
42. Do RKG, Chandanara H, Felker E, Hajdu CH, Babb JS, Kim D, Taouli B. Diagnosis of liver fibrosis and cirrhosis with diffusion-weighted imaging: Value of normalized apparent diffusion coefficient using the spleen as reference organ. Am J Roentgenol 2010; 195: 671-676.
43. Asbach P, Klatt D, Schlosser B, Biermer M, Muche M, Rieger A, et al. Viscoelasticity-based staging of hepatic fibrosis with multifrequency MR elastography. Radiology 2010; 257: 80-86.
44. Zhou ML, Yan FH, Xu PJ, Chen CZ, Shen JZ, Li RC, et al. [Comparative study on clinical and pathological changes of liver fibrosis with diffusion-weighted imaging]. [Article in Chinese]. Zhonghua Yi Xue Za Zhi 2009; 89: 1757-1761.
45. Sandrasegaran K, Akisik FM, Lin C, Tahir B, Rajan J, Saxena R, Aisen AM. Value of diffusion-weighted MRI for assessing liver fibrosis and cirrhosis. Am J Roentgenol 2009; 193: 1556-1560.
46. Taouli B, Chouli M, Martin AJ, Qayyum A, Coakley FV, Vilgrain V. Chronic hepatitis: role of diffusion-weighted imaging and diffusion tensor imaging for the diagnosis of liver fibrosis and inflammation. J Magn Reson Imaging 2008; 28: 89-95.
47. Huwart L, Sempoux C, Vicaut E, Salameh N, Annet L, Danse E, et al. Magnetic resonance elastography for the noninvasive staging of liver fibrosis. Gastroenterology 2008; 135: 32-40.
48. Yin M, Talwalkar JA, Glaser KJ, Manduca A, Grimm RC, Rossman PJ, et al. Assessment of hepatic fibrosis with magnetic resonance elastography. Clin Gastroenterol Hepatol 2007; 5: 1207-1213.e2.
49. Taouli B, Tolia AJ, Losada M, Babb JS, Chan ES, Bannan MA, Tobias H. Diffusion-weighted MRI for quantification of liver fibrosis: preliminary experience. Am J Roentgenol 2007; 189: 799-806.
50. Lewin M, Poujol-Robert A, Boelle PY, Wendum D, Lasnier E, Viallon M, et al. Diffusion-weighted magnetic resonance imaging for the assessment of fibrosis in chronic hepatitis C. HEPATOLOGY 2007; 46: 658-665.
51. Huwart L, Sempoux C, Salameh N, Jamart J, Annet L, Sinkus R, et al. Liver fibrosis: noninvasive assessment with MR elastography versus aspartate aminotransferase-to-platelet ratio index. Radiology 2007; 245: 458-466.
52. Swets JA. Measuring the accuracy of diagnostic systems. Science 1988; 240: 1285-1293.
53. Bonekamp S, Kamel I, Solga S, Clark J. Can imaging modalities diagnose and stage hepatic fibrosis and cirrhosis accurately? J Hepatol 2009; 50: 17-35.
54. Kanematsu M, Semelka RC, Matsuo M, Kondo H, Enya M, Goshima S, et al. Gadolinium-enhanced MR imaging of the liver: optimizing imaging delay for hepatic arterial and portal venous phases-a prospective randomized study in patients with chronic liver damage. Radiology 2002; 225: 407-415.
55. Huwart L, van Beers BE. MR elastography. Gastroenterol Clin Biol 2008; 32: 68-72.
56. Fisher M, Prichard JW, Warach S. New magnetic resonance techniques for acute ischemic stroke. JAMA 1995; 274: 908-911.
57. Taouli B, Koh DM. Diffusion-weighted MR imaging of the liver. Radiology 2010; 254: 47-66.
58. Yamada I, Aung W, Himeno Y, Nakagawa T, Shibuya H. Diffusion coefficients in abdominal organs and hepatic lesions: evaluation with intravoxel incoherent motion echo-planar MR imaging. Radiology 1999; 210: 617-623.
59. Luciani A, Vignaud A, Cavet M, Nhieu JT, Mallat A, Ruel L, et al. Liver cirrhosis: intravoxel incoherent motion MR imaging-pilot study. Radiology 2008; 249: 891-899.
60. Farr BM, Shapiro DE. Diagnostic tests: distinguishing good tests from bad and even ugly ones. Infect Control Hosp Epidemiol 2000; 21: 278-284.
61. Oba Y, Zaza T. Abandoning daily routine chest radiography in the intensive care unit: meta-analysis. Radiology 2010; 255: 386-395.