Skip to main content
Log in

Comparison of the diagnostic performance of 2D and 3D MR elastography in staging liver fibrosis

  • Hepatobiliary-Pancreas
  • Published:
European Radiology Aims and scope Submit manuscript

Abstract

Objectives

To compare the diagnostic performance and image quality of state-of-the-art 2D MR elastography (MRE) and 3D MRE in the basic application of liver fibrosis staging.

Methods

This retrospective study assessed data from 293 patients who underwent 2D and 3D MRE examinations. MRE image quality was assessed with a qualitative 2-point grading system by evaluating artifacts. Two experienced analysts independently measured mean liver stiffness values. The interobserver agreement of liver stiffness measurement was assessed by the intraclass correlation coefficient (ICC). The area under the receiver operating characteristic curve (AUC) was used to assess the diagnostic performance of 2D and 3D MRE and blood-based markers for fibrosis staging using the pathology-proven liver fibrosis stage as the gold standard.

Results

The image quality provided by 3D MRE was graded as significantly higher than that obtained with the 2D MRE method (p < 0.01). Interobserver agreement in liver stiffness measurements was higher for 3D MRE (ICC: 3D 0.979 vs 2D 0.955). The AUC values for discriminating ≥ F1, ≥ F2, ≥ F3, and F4 fibrosis for 3D MRE (0.89, 0.92, 0.95, and 0.93) were similar to those for 2D MRE (0.89, 0.91, 0.94, and 0.92). Both the 2D and 3D MRE methods provided superior accuracy to the blood-based biomarkers, including APRI, FIB-4, and Forns index, especially for ≥ F2, ≥ F3, and F4 fibrosis stages (all p < 0.01).

Conclusions

While 3D MRE offers certain advantages and opportunities for new applications of MRE, current widely deployed 2D MRE technology has comparable performance in the basic application of detecting and staging liver fibrosis.

Key Points

2D MRE and 3D MRE have comparable diagnostic performance in detecting and staging liver fibrosis.

3D MRE has superior image quality and interobserver agreement compared to 2D MRE.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

Abbreviations

2D:

Two-dimensional

3D:

Three-dimensional

APRI:

Aspartate transaminase-to-platelet ratio index

AUC:

Area under the curve

BMI:

Body mass index

FIB-4:

Fibrosis index based on four factors

FOV:

Field of view

GRE:

Gradient recalled echo

ICC:

Intraclass correlation coefficient

IQR:

Interquartile range

MRE:

Magnetic resonance elastography

NPV:

Negative predictive value

PPV:

Positive predictive value

ROC:

Receiver operating characteristic

ROI:

Regions of interest

SE-EPI:

Spin-echo echo-planar imaging

References

  1. Castera L (2012) Noninvasive methods to assess liver disease in patients with hepatitis B or C. Gastroenterology 142:1293–1302

    Article  Google Scholar 

  2. Seeff LB, Everson GT, Morgan TR et al (2010) Complication rate of percutaneous liver biopsies among persons with advanced chronic liver disease in the HALT-C trial. Clin Gastroenterol Hepatol 8:877–883

    Article  Google Scholar 

  3. Regev A, Berho M, Jeffers LJ et al (2002) Sampling error and intraobserver variation in liver biopsy in patients with chronic HCV infection. Am J Gastroenterol 97:2614–2618

    Article  Google Scholar 

  4. Lefebvre T, Wartelle-Bladou C, Wong P et al (2019) Prospective comparison of transient, point shear wave, and magnetic resonance elastography for staging liver fibrosis. Eur Radiol 29:6477–6488

    Article  Google Scholar 

  5. Hoodeshenas S, Yin M, Venkatesh SK (2018) Magnetic resonance elastography of liver: current update. Top Magn Reson Imaging 27:319–333

    Article  Google Scholar 

  6. Venkatesh SK, Yin M, Ehman RL (2013) Magnetic resonance elastography of liver: technique, analysis, and clinical applications. J Magn Reson Imaging 37:544–555

    Article  Google Scholar 

  7. Yin M, Talwalkar JA, Glaser KJ et al (2007) Assessment of hepatic fibrosis with magnetic resonance elastography. Clin Gastroenterol Hepatol 5:1207–1213

    Article  Google Scholar 

  8. Zhan C, Kannengiesser S, Chandarana H, Fenchel M, Ream J, Shanbhogue KP (2019) MR elastography of liver at 3 Tesla: comparison of gradient-recalled echo (GRE) and spin-echo (SE) echo-planar imaging (EPI) sequences and agreement across stiffness measurements. Abdom Radiol (NY) 44:1825–1833

    Article  Google Scholar 

  9. Shi Y, Xia F, Li QJ et al (2016) Magnetic resonance elastography for the evaluation of liver fibrosis in chronic hepatitis b and c by using both gradient-recalled echo and spin-echo echo planar imaging: a prospective study. Am J Gastroenterol 111:823–833

    Article  Google Scholar 

  10. Kim YS, Jang YN, Song JS (2018) Comparison of gradient-recalled echo and spin-echo echo-planar imaging MR elastography in staging liver fibrosis: a meta-analysis. Eur Radiol 28:1709–1718

    Article  Google Scholar 

  11. Chang W, Lee JM, Yoon JH et al (2016) Liver fibrosis staging with MR elastography: comparison of diagnostic performance between patients with chronic hepatitis b and those with other etiologic causes. Radiology 280:88–97

    Article  Google Scholar 

  12. Wang J, Glaser KJ, Zhang T et al (2018) Assessment of advanced hepatic MR elastography methods for susceptibility artifact suppression in clinical patients. J Magn Reson Imaging 47:976–987

    Article  Google Scholar 

  13. Wagner M, Corcuera-Solano I, Lo G et al (2017) Technical failure of MR elastography examinations of the liver: experience from a large Single-Center study. Radiology 284:401–412

    Article  Google Scholar 

  14. Felker ER, Choi KS, Sung K et al (2018) Liver MR elastography at 3 T: agreement across pulse sequences and effect of liver R2* on image quality. AJR Am J Roentgenol 211:588–594

    Article  Google Scholar 

  15. Wagner M, Besa C, Bou AJ et al (2016) Magnetic resonance elastography of the liver: qualitative and quantitative comparison of gradient echo and spin echo echoplanar imaging sequences. Invest Radiol 51:575–581

    Article  Google Scholar 

  16. Mariappan YK, Dzyubak B, Glaser KJ et al (2017) Application of modified spin-echo-based sequences for hepatic MR elastography: evaluation, comparison with the conventional gradient-echo sequence, and preliminary clinical experience. Radiology 282:390–398

    Article  Google Scholar 

  17. Choi SL, Lee ES, Ko A et al (2020) Technical success rates and reliability of spin-echo echo-planar imaging (SE-EPI) MR elastography in patients with chronic liver disease or liver cirrhosis. Eur Radiol 30:1730–1737

    Article  Google Scholar 

  18. Kim DW, Kim SY, Yoon HM, Kim KW, Byun JH (2020) Comparison of technical failure of MR elastography for measuring liver stiffness between gradient-recalled echo and spin-echo echo-planar imaging: a systematic review and meta-analysis. J Magn Reson Imaging 51:1086–1102

    Article  Google Scholar 

  19. Glaser KJ, Manduca A, Ehman RL (2012) Review of MR elastography applications and recent developments. J Magn Reson Imaging 36:757–774

    Article  Google Scholar 

  20. Allen AM, Shah VH, Therneau TM et al (2020) The role of three-dimensional magnetic resonance elastography in the diagnosis of nonalcoholic steatohepatitis in obese patients undergoing bariatric surgery. Hepatology 71:510–521

    Article  Google Scholar 

  21. Wang J, Shan Q, Liu Y et al (2019) 3D MR elastography of hepatocellular carcinomas as a potential biomarker for predicting tumor recurrence. J Magn Reson Imaging 49:719–730

    Article  Google Scholar 

  22. Plaikner M, Kremser C, Zoller H et al (2019) Does gadoxetate disodium affect MRE measurements in the delayed hepatobiliary phase? Eur Radiol 29:829–837

    Article  CAS  Google Scholar 

  23. 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

    Article  Google Scholar 

  24. Dzyubak B, Venkatesh SK, Manduca A, Glaser KJ, Ehman RL (2016) Automated liver elasticity calculation for MR elastography. J Magn Reson Imaging 43:1055–1063

    Article  Google Scholar 

  25. Kottner J, Audige L, Brorson S et al (2011) Guidelines for Reporting Reliability and Agreement Studies (GRRAS) were proposed. J Clin Epidemiol 64:96–106

    Article  Google Scholar 

  26. Morisaka H, Motosugi U, Ichikawa S et al (2018) Magnetic resonance elastography is as accurate as liver biopsy for liver fibrosis staging. J Magn Reson Imaging 47:1268–1275

    Article  Google Scholar 

  27. 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

    Article  CAS  Google Scholar 

  28. Yoshimitsu K, Mitsufuji T, Shinagawa Y et al (2016) MR elastography of the liver at 3.0 T in diagnosing liver fibrosis grades; preliminary clinical experience. Eur Radiol 26:656–663

    Article  Google Scholar 

  29. Loomba R, Cui J, Wolfson T et al (2016) Novel 3D magnetic resonance elastography for the noninvasive diagnosis of advanced fibrosis in NAFLD: A prospective study. Am J Gastroenterol 111:986–994

    Article  Google Scholar 

  30. Imajo K, Kessoku T, Honda Y et al (2016) Magnetic resonance imaging more accurately classifies steatosis and fibrosis in patients with nonalcoholic fatty liver disease than transient elastography. Gastroenterology 150:626–637

    Article  Google Scholar 

  31. Huwart L, Sempoux C, Vicaut E et al (2008) Magnetic resonance elastography for the noninvasive staging of liver fibrosis. Gastroenterology 135:32–40

    Article  Google Scholar 

  32. Bohte AE, de Niet A, Jansen L 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

    Article  Google Scholar 

  33. Morisaka H, Motosugi U, Glaser KJ et al (2017) Comparison of diagnostic accuracies of two- and three-dimensional MR elastography of the liver. J Magn Reson Imaging 45:1163–1170

    Article  Google Scholar 

  34. Castera L, Forns X, Alberti A (2008) Non-invasive evaluation of liver fibrosis using transient elastography. J Hepatol 48:835–847

    Article  Google Scholar 

  35. Serai SD, Obuchowski NA, Venkatesh SK et al (2017) Repeatability of MR elastography of liver: a meta-analysis. Radiology 285:92–100

    Article  Google Scholar 

Download references

Acknowledgements

The authors thank Dr. Jing Zhou for assessment of pathologic specimens.

Funding

The authors state that this study has received funding by the National Natural Science Foundation of China grant 91959118 (JW), Science and Technology Program of Guangzhou, China 201704020016 (JW), Clinical Research Foundation of the 3rd Affiliated Hospital of Sun Yat-Sen University YHJH201901 (JW), and Guangdong Basic and Applied Basic Research Foundation (No.2021A1515010582) (JW).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jin Wang.

Ethics declarations

Guarantor

The scientific guarantor of this publication is Jin Wang.

Conflict of interest

The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.

Statistics and biometry

No complex statistical methods were necessary for this paper.

Informed consent

Written informed consent was waived by the Institutional Review Board.

Ethical approval

Institutional Review Board approval was obtained.

Methodology

• retrospective

• diagnostic or prognostic study

• performed at one institution

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, M., Yang, H., Liu, Y. et al. Comparison of the diagnostic performance of 2D and 3D MR elastography in staging liver fibrosis. Eur Radiol 31, 9468–9478 (2021). https://doi.org/10.1007/s00330-021-08053-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00330-021-08053-y

Keywords

Navigation