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Non-invasive assessment of hepatic fibrosis: comparison of MR elastography to transient elastography and intravoxel incoherent motion diffusion-weighted MRI

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Abstract

Objective

To compare the ability of MR elastography (MRE) with transient elastography (TE) and intravoxel incoherent motion (IVIM) diffusion-weighted MRI in staging hepatic fibrosis (HF).

Materials and methods

100 patients with chronic liver disease and 25 healthy volunteers underwent preoperative MRE, IVIM on a 3T MRI unit, and ultrasound-based TE. Liver stiffness measurement from MRE (LSM-MRE) and liver stiffness measurement from TE (LSM-TE) were measured; four diffusion parameters including the true diffusion coefficient (Dt), pseudo-diffusion coefficient, perfusion fraction (f), and apparent diffusion coefficient (ADC) were calculated. Receiver operating characteristic (ROC) curves were performed for significant parameters to compare the diagnosis performance for detecting HF.

Results

LSM-MRE and LSM-TE values showed positive correlation with the fibrosis stage (r = 0.910 and 0.813, P < 0.001). Dt, f, and ADC values showed negative correlation with the fibrosis stage (r = − 0.727, − 0.503, and − 0.601, all P < 0.001). The area under the ROC curve (AUC) of LSM-MRE (AUC = 0.965, 0.957, 0.983) was significantly higher than that of LSM-TE (AUC = 0.906, 0.913, 0.931) and Dt (AUC = 0.875, 0.879, 0.861) in discriminating significant HF (≥ F2), advanced HF (≥ F3), or cirrhosis (F4) (all P < 0.05). Although LSM-TE showed higher AUCs than Dt in detecting fibrosis stages, there were no significant differences between LSM-TE and Dt (P > 0.05) except for detecting F4 (P < 0.05).

Conclusion

MRE shows excellent diagnostic performance for predicting significant fibrosis, advanced fibrosis compared with TE and IVIM, while TE and IVIM have comparable diagnostic performance.

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References

  1. Wang Y, Ganger DR, Levitsky J, Sternick L A, McCarthy RJ, Chen Z E, et al. (2011) Assessment of chronic hepatitis and fibrosis: comparison of MR elastography and diffusion-weighted imaging. AJR Am J Roentgenol 196: 553-561. https://doi.org/10.2214/AJR.10.4580

    Article  PubMed  PubMed Central  Google Scholar 

  2. Costa-Silva L, Ferolla S M, Lima A S, Vidigal P V T, Ferrari, T C de A (2018) MR elastography is effective for the non-invasive evaluation of fibrosis and necroinflammatory activity in patients with nonalcoholic fatty liver disease. Eur J Radiol 98:82-89. https://doi.org/10.1016/j.ejrad.2017.11.003

    Article  PubMed  Google Scholar 

  3. Yin M, Glaser KJ, Talwalkar JA, Chen J, Manduca A, Ehman RL (2016) Hepatic MR Elastography: Clinical Performance in a Series of 1377 Consecutive Examinations. Radiology 278: 114-124. https://doi.org/10.1148/radiol.2015142141

    Article  PubMed  Google Scholar 

  4. Sandrasegaran K, Paul Territo P, Elkady RM, Lin Y, Gasparis P, Borthakur G, et al.(2018) Does intravoxel incoherent motion reliably stage hepatic fibrosis, steatosis, and inflammation? Abdom Radiol (NY) 43:600-606. https://doi.org/10.1007/s00261-017-1263-8

    Article  Google Scholar 

  5. Yoo H, Lee JM, Yoon JH, Lee DH, Chang W, Han JK (2016) Prospective Comparison of Liver Stiffness Measurements between Two Point Shear Wave Elastography Methods: Virtual Touch Quantification and Elastography Point Quantification. Korean J Radiol 17:750-757. https://doi.org/10.3348/kjr.2016.17.5.750

    Article  Google Scholar 

  6. Bravo AA, Sheth SG, Chopra S (2001) Liver biopsy. N Engl J Med 344: 495-500. https://doi.org/10.1056/NEJM200102153440706

    Article  CAS  PubMed  Google Scholar 

  7. Huwart L, Sempoux C, Salameh N, Jamart J, Annet L, Sinkus R, et al. (2007) Liver fibrosis: noninvasive assessment with MR elastography versus aspartate aminotransferase-to-platelet ratio index. Radiology; 245: 458-466. https://doi.org/10.1148/radiol.2452061673

    Article  PubMed  Google Scholar 

  8. Venkatesh SK, Wang G, Lim SG, Wee A (2014) Magnetic resonance elastography for the detection and staging of liver fibrosis in chronic hepatitis B. Eur Radiol 24:70-78. https://doi.org/10.1007/s00330-013-2978-8

    Article  PubMed  Google Scholar 

  9. Lee JE, Lee JM, Lee KB, Yoon JH, Shin CI, Han JK, et al. (2014) Noninvasive assessment of hepatic fibrosis in patients with chronic hepatitis B viral infection using magnetic resonance elastography. Korean J Radiol 15:210-217. https://doi.org/10.3348/kjr.2014.15.2.210

    Article  PubMed  PubMed Central  Google Scholar 

  10. Rustogi R, Horowitz J, Harmath C, Wang Y, Chalian H, Ganger D R, et al. (2012) Accuracy of MR elastography and anatomic MR imaging features in the diagnosis of severe hepatic fibrosis and cirrhosis. J Magn Reson Imaging 35: 1356-1364. https://doi.org/10.1002/jmri.23585

    Article  PubMed  PubMed Central  Google Scholar 

  11. Shi Y, Guo QY, Xia F, Dzyubak B, Glaser K J, Li Q J, et al. (2014) MR Elastography for the Assessment of Hepatic Fibrosis in Patients with Chronic Hepatitis B Infection: Does Histologic Necroinflammation Influence the Measurement of Hepatic Stiffness? Radiology 273:88-98. https://doi.org/10.1148/radiol.14132592

    Article  PubMed  PubMed Central  Google Scholar 

  12. Yin M, Talwalkar JA, Glaser KJ, Manduca A, Grimm R C, Rossman P J, et al. (2007) Assessment of hepatic fibrosis with magnetic resonance elastography. Clin Gastroenterol Hepatol 5: 1207-1213. https://doi.org/10.1016/j.cgh.2007.06.012

    Article  PubMed  PubMed Central  Google Scholar 

  13. Ichikawa S, Motosugi U, Ichikawa T, Sano K, Morisaka H, Enomoto N, et al. (2012) Magnetic resonance elastography for staging liver fibrosis in chronic hepatitis C. Magn Reson Med Sci 11:291-297. https://doi.org/10.2463/mrms.11.291

    Article  PubMed  Google Scholar 

  14. Yoon JH, Lee JM, Joo I, Lee ES, Sohn JY, Jang SK, et al. (2014) Hepatic Fibrosis: Prospective Comparison of MR Elastography and US Shear-Wave Elastography for Evaluation. Radiology 273:772-782. https://doi.org/10.1148/radiol.14132000

    Article  PubMed  Google Scholar 

  15. Nedredal GI, Yin M, McKenzie T, Lillegard J, Luebke-Wheeler J, Talwalkar J, et al. (2011) Portal hypertension correlates with splenic stiffness as measured with MR elastography. J Magn Reson Imaging 34:79-87. https://doi.org/10.1002/jmri.22610

    Article  PubMed  PubMed Central  Google Scholar 

  16. Ichikawa S, Motosugi U, Morisaka H, Sano K, Ichikawa T, Enomoto N, et al. (2015) MRI-Based Staging of Hepatic Fibrosis: Comparison of Intravoxel Incoherent Motion Diffusion-Weighted Imaging with Magnetic Resonance Elastography. J Magn Reson Imaging 42:204-210. https://doi.org/10.1002/jmri.24760

    Article  PubMed  Google Scholar 

  17. Le Bihan D, Breton E, Lallemand D, Grenier P, Cabanis E, Laval-Jeantet M (1986) MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders. Radiology 161: 401-407. https://doi.org/10.1148/radiology.161.2.3763909

    Article  Google Scholar 

  18. Le Bihan D, Breton E, Lallemand D, Aubin ML, Vignaud J, Laval-Jeantet M (1988) Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. Radiology; 168:497-505. https://doi.org/10.1148/radiology.168.2.3393671

    Article  PubMed  Google Scholar 

  19. Seo N, Chung YE, Park YN, Kim E, Hwang J,Kim MJ (2018) Liver fibrosis: stretched exponential model outperforms mono-exponential and bi-exponential models of diffusion-weighted MRI. Eur Radiol 28 :1-11. https://doi.org/10.1007/s00330-017-5292-z

    Article  Google Scholar 

  20. Franca M, Marti-Bonmati L, Alberich-Bayarri A, Oliveira P, Guimaraes S, Oliveira J, et al. (2017) Evaluation of fibrosis and inflammation in diffuse liver diseases using intravoxel incoherent motion diffusion-weighted MR imaging. Abdom Radiol (NY) 42(2):468-477. https://doi.org/10.1007/s00261-016-0899-0

    Article  Google Scholar 

  21. Luciani A, Vignaud A, Cavet M, Nhieu JTV, Mallat A, Ruel L, et al. (2008) Liver cirrhosis: intravoxel incoherent motion MR imaging-pilot study. Radiology 249: 891-899. https://doi.org/10.1148/radiol.2493080080

    Article  PubMed  Google Scholar 

  22. Chung SR, Lee SS, Kim N, Yu ES, Kim E, Kühn B, et al. (2015) Intravoxel incoherent motion MRI for liver fibrosis assessment: a pilot study. Acta Radiol 56: 1428-1436. https://doi.org/10.1177/0284185114559763

    Article  PubMed  Google Scholar 

  23. Yoon JH, Lee JM, Baek JH, Shin C, Kiefer B, Han JK, et al. (2014) Evaluation of hepatic fibrosis using intravoxel incoherent motion in diffusion-weighted liver MRI. J Comput Assist Tomogr 38: 110-116. https://doi.org/10.1097/rct.0b013e3182a589be

    Article  PubMed  Google Scholar 

  24. Myers RP, Elkashab M, Ma M, Crotty P, Pomier-Layrargues G (2010) Transient elastography for the noninvasive assessment of liver fibrosis: A multicentre Canadian study. Can J Gastroenterol 24:661-670. http://dx.doi.org/10.1155/2010/153986

    Article  PubMed  PubMed Central  Google Scholar 

  25. Sandrin L, Fourquet B, Hasquenoph JM, Yon S, Fournier C, Mal F, et al. (2003) Transient elastography: a new non-invasive method for assessment of hepatic fibrosis. Ultrasound Med Biol; 29: 1705-1713. https://doi.org/10.1016/j.ultrasmedbio.2003.07.001

    Article  PubMed  Google Scholar 

  26. Ogawa E, Furusyo N, Toyoda K, Takeoka H, Otaguro S, Hamada M, et al. (2007) Transient elastography for patients with chronic hepatitis B and C virus infection: Non-invasive, quantitative assessment of liver fibrosis. Hepatol Res 37: 1002-1010. https://doi.org/10.1111/j.1872-034X.2007.00160.x

    Article  CAS  PubMed  Google Scholar 

  27. Sporea I, Bota S, Gradinaru-Taşcău O, Sirli R, Popescu A, Jurchiş A. (2014) Which are the cut-off values of 2D-Shear Wave Elastography (2D-SWE) liver stiffness measurements predicting different stages of liver fibrosis, considering Transient Elastography (TE) as the reference method? Eur J Radiol 83: e118-e122. https://doi.org/10.1016/j.ejrad.2013.12.011

    Article  PubMed  Google Scholar 

  28. Rockey DC. (2008) Noninvasive Assessment of Liver Fibrosis and Portal Hypertension with Transient Elastography. Gastroenterology 134: 8-14. https://doi.org/10.1053/j.gastro.2007.11.053

    Article  Google Scholar 

  29. Foucher J, Chanteloup E, Vergniol J, Castéra L, Le Bail B, Adhoute X, et al. (2006) Diagnosis of cirrhosis by transient elastography (FibroScan): a prospective study. Digest of the World Core Medical Journal 55: 403-408. https://doi.org/10.1136/gut.2005.069153

    Article  CAS  Google Scholar 

  30. Lucidarme D, Foucher J, Le Bail B, Vergniol J, Castera L, Duburque C, et al. (2009) Factors of accuracy of transient elastography (fibroscan) for the diagnosis of liver fibrosis in chronic hepatitis C. Hepatology 49: 1083-1089. https://doi.org/10.1002/hep.22748

    Article  PubMed  Google Scholar 

  31. Friedrich-Rust M, Ong MF, Martens S, Sarrazin C, Bojunga J, Zeuzem S, et al. (2008) Performance of transient elastography for the staging of liver fibrosis: a meta-analysis. Gastroenterol 134: 960-974. https://doi.org/10.1053/j.gastro.2008.01.034

    Article  Google Scholar 

  32. Tang A, Cloutier G, Szeverenyi NM, Sirlin CB (2015) Ultrasound elastography and MR elastography for assessing liver fibrosis: part 2, diagnostic performance, confounders, and future directions. AJR Am J Roentgenol 205:33-40. https://doi.org/10.2214/ajr.15.14553

    Article  PubMed  PubMed Central  Google Scholar 

  33. Dyvorne HA, Jajamovich GH, Bane O, Fiel MI, Chou H, Schiano TD, et al. (2016) Prospective comparison of magnetic resonance imaging to transient elastography and serum markers for liver fibrosis detection. Liver Int. 36: 659-666. https://doi.org/10.1111/liv.13058.

    Article  CAS  Google Scholar 

  34. Bohte AE, de Niet A, Jansen L, Bipat S, Nederveen AJ, Verheij J, et al (2014) Non-invasive evaluation of liver fibrosis: a comparison of ultrasound-based transient elastography and MR elastography in patients with viral hepatitis B and C. Eur Radiol 24:638-648. https://doi.org/10.1007/s00330-013-3046-0

    Article  PubMed  Google Scholar 

  35. Bedossa P, Poynard T (1996) An algorithm for the grading of activity in chronic hepatitis C. The METAVIR Cooperative Study Group. Hepatology 24:289-293. https://doi.org/10.1053/jhep.1996.v24.pm0008690394

    Article  CAS  Google Scholar 

  36. Dyvorne HA, Galea N, Nevers T, Fiel M I, Carpenter D, Wong E, et al. (2013) Diffusion-weighted imaging of the liver with multiple b values: effect of diffusion gradient polarity and breathing acquisition on image quality and intravoxel incoherent motion parameters-a pilot study. Radiology 266: 920-929. https://doi.org/10.1148/radiol.12120686

    Article  PubMed  PubMed Central  Google Scholar 

  37. The Polaris Observatory Collaborators (2018) Global prevalence, treatment, and prevention of hepatitis B virus infection in 2016: a modelling study. Lancet Gastroenterol Hepatol 3:383-403. https://doi.org/10.1016/S2468-1253(18)30056-6

    Article  Google Scholar 

  38. Tsochatzis EA, Gurusamy KS, Ntaoula S, Cholongitas E (2011) Davidson BR, Burroughs AK. Elastography for the diagnosis of severity of fibrosis in chronic liver disease: a meta-analysis of diagnostic accuracy. J Hepatol 54: 650- 659. https://doi.org/10.1016/j.jhep.2010.07.033

    Article  CAS  PubMed  Google Scholar 

  39. Chen J, Talwalkar JA, Yin M, Glaser KJ, Sanderson SO, Ehman RL (2011). Early detection of nonalcoholic steatohepatitis in patients with nonalcoholic fatty liver disease by using MR elastography. Radiology 259: 749-756. https://doi.org/10.1148/radiol.11101942

    Article  Google Scholar 

  40. Motosugi U, Ichikawa T, Niitsuma Y, Araki T (2011). Acoustic radiation force impulse elastography of the liver: can fat deposition in the liver affect the measurement of liver stiffness? Jpn J Radiol 29:639-643. https://doi.org/10.1007/s11604-011-0607-5

    Article  Google Scholar 

  41. Watanabe H, Kanematsu M, Goshima S, Kondo H, Onozuka M, Moriyama N, et al. (2011) Staging hepatic fibrosis: comparison of gadoxetate disodium-enhanced and diffusion-weighted MR imaging-preliminary observations. Radiology 259: 142-150. https://doi.org/10.1148/radiol.10100621

    Article  Google Scholar 

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Acknowledgements

This work was supported by the National Key R&D Program of China (2017YFE0103600), National Natural Science Foundation of China (81720108021, 81772009, 81601466, 81641168, 31470047), and Scientific and Technological Research Project of Henan Province (182102310162).

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Correspondence to Meiyun Wang.

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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 45, 73–82 (2020). https://doi.org/10.1007/s00261-019-02140-x

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