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Two- versus three-dimensional dual gradient-echo MRI of the liver: a technical comparison

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Abstract

Objective

To compare 2D spoiled dual gradient-echo (SPGR-DE) and 3D SPGR-DE with fat and water separation for the assessment of focal and diffuse fatty infiltration of the liver.

Methods

A total of 227 consecutive patients (141 men; 56 ± 14 years) underwent clinically indicated liver MRI at 1.5 T including multiple-breath-hold 2D SPGR-DE and single-breath-hold 3D SPGR-DE with automatic reconstruction of fat-only images. Two readers assessed the image quality and number of fat-containing liver lesions on 2D and 3D in- and opposed-phase (IP/OP) images. Liver fat content (LFC) was quantified in 138 patients without chronic liver disease from 2D, 3D IP/OP, and 3D fat-only images.

Results

Mean durations of 3D and 2D SPGR-DE acquisitions were 23.7 ± 2.9 and 97.2 ± 9.1 s respectively. The quality of all 2D and 3D images was rated diagnostically. Three-dimensional SPGR-DE revealed significantly more breathing artefacts resulting in lower image quality (P < 0.001); 2D and 3D IP/OP showed a similar detection rate of fat-containing lesions (P = 0.334) and similar LFC estimations (mean: +0.4 %; P = 0.048). LFC estimations based on 3D fat-only images showed significantly higher values (mean: 2.7 % + 3.5 %) than those from 2D and 3D IP/OP images (P < 0.001).

Conclusion

Three dimensional SPGR-DE performs as well as 2D SPGR-DE for the assessment of focal and diffuse fatty infiltration of liver parenchyma. The 3D SPGR-DE sequence used was quicker but more susceptible to breathing artefacts. Significantly higher LFC values are derived from 3D fat-only images than from 2D or 3D IP/OP images.

Key Points

Magnetic resonance imaging can assess focal and diffuse hepatic fatty infiltration

Both 2D and 3D dual-echo MRI techniques can be used for chemical shift imaging of the liver.

The single breath-hold 3D dual-echo technique is faster but more susceptible to breathing artefacts.

Three-dimensional fat-only images show higher fat estimates than in- and out-of-phase images.

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References

  1. Schwimmer JB, Deutsch R, Kahen T, Lavine JE, Stanley C, Behling C (2006) Prevalence of fatty liver in children and adolescents. Pediatrics 118:1388–1393

    Article  PubMed  Google Scholar 

  2. Falck-Ytter Y, Younossi ZM, Marchesini G, McCullough AJ (2001) Clinical features and natural history of nonalcoholic steatosis syndromes. Semin Liver Dis 21:17–26

    Article  PubMed  CAS  Google Scholar 

  3. Clavien PA, Petrowsky H, DeOliveira ML, Graf R (2007) Strategies for safer liver surgery and partial liver transplantation. N Engl J Med 356:1545–1559

    Article  PubMed  Google Scholar 

  4. Cassidy FH, Yokoo T, Aganovic L et al (2009) Fatty liver disease: MR imaging techniques for the detection and quantification of liver steatosis. Radiographics 29:231–260

    Article  PubMed  Google Scholar 

  5. Hines CD, Yu H, Shimakawa A et al (2010) Quantification of hepatic steatosis with 3-T MR imaging: validation in ob/ob mice. Radiology 254:119–128

    Article  PubMed  Google Scholar 

  6. Raptis DA, Fischer MA, Graf R et al (2012) MRI: the new reference standard in quantifying hepatic steatosis? Gut 61:117–127

    Article  PubMed  Google Scholar 

  7. d’Assignies G, Kauffmann C, Boulanger Y et al (2011) Simultaneous assessment of liver volume and whole liver fat content: a step towards one-stop shop preoperative MRI protocol. Eur Radiol 21:301–309

    Article  PubMed  Google Scholar 

  8. d’Assignies G, Ruel M, Khiat A et al (2009) Noninvasive quantitation of human liver steatosis using magnetic resonance and bioassay methods. Eur Radiol 19:2033–2040

    Article  PubMed  Google Scholar 

  9. Kim H, Taksali SE, Dufour S et al (2008) Comparative MR study of hepatic fat quantification using single-voxel proton spectroscopy, two-point dixon and three-point IDEAL. Magn Reson Med 59:521–527

    Article  PubMed  CAS  Google Scholar 

  10. Westphalen AC, Qayyum A, Yeh BM et al (2007) Liver fat: effect of hepatic iron deposition on evaluation with opposed-phase MR imaging. Radiology 242:450–455

    Article  PubMed  Google Scholar 

  11. Reeder SB, Cruite I, Hamilton G, Sirlin CB (2011) Quantitative assessment of liver fat with magnetic resonance imaging and spectroscopy. J Magn Reson Imaging 34:729–749

    Article  PubMed  Google Scholar 

  12. Hines CD, Frydrychowicz A, Hamilton G et al (2011) T(1) independent, T(2) (*) corrected chemical shift based fat-water separation with multi-peak fat spectral modeling is an accurate and precise measure of hepatic steatosis. J Magn Reson Imaging 33:873–881

    Article  PubMed  Google Scholar 

  13. Kohgo Y, Ohtake T, Ikuta K, Suzuki Y, Torimoto Y, Kato J (2008) Dysregulation of systemic iron metabolism in alcoholic liver diseases. J Gastroenterol Hepatol 23(Suppl 1):S78–S81

    Article  PubMed  CAS  Google Scholar 

  14. Ma J, Vu AT, Son JB, Choi H, Hazle JD (2006) Fat-suppressed three-dimensional dual echo Dixon technique for contrast agent enhanced MRI. J Magn Reson Imaging 23:36–41

    Article  PubMed  Google Scholar 

  15. Ma J (2004) Breath-hold water and fat imaging using a dual-echo two-point Dixon technique with an efficient and robust phase-correction algorithm. Magn Reson Med 52:415–419

    Article  PubMed  Google Scholar 

  16. Mason D (2009) pydicom: a pure python package for working with DICOM files. http://pypi.python.org/pypi/pydicom/. Accessed 14.03.2011.

  17. Ringe KI, Husarik DB, Sirlin CB, Merkle EM (2010) Gadoxetate disodium-enhanced MRI of the liver: part 1, protocol optimization and lesion appearance in the noncirrhotic liver. AJR Am J Roentgenol 195:13–28

    Article  PubMed  Google Scholar 

  18. Rofsky NM, Lee VS, Laub G et al (1999) Abdominal MR imaging with a volumetric interpolated breath-hold examination. Radiology 212:876–884

    PubMed  CAS  Google Scholar 

  19. Springer F, Ehehalt S, Sommer J et al (2011) Assessment of relevant hepatic steatosis in obese adolescents by rapid fat-selective GRE imaging with spatial-spectral excitation: a quantitative comparison with spectroscopic findings. Eur Radiol 21:816–822

    Article  PubMed  Google Scholar 

  20. Kim MJ, Mitchell DG, Ito K, Kim PN (2001) Hepatic MR imaging: comparison of 2D and 3D gradient echo techniques. Abdom Imaging 26:269–276

    Article  PubMed  CAS  Google Scholar 

  21. Marin D, Soher BJ, Dale BM, Boll DT, Youngblood RS, Merkle EM (2010) Characterization of adrenal lesions: comparison of 2D and 3D dual gradient-echo MR imaging at 3T–preliminary results. Radiology 254:179–187

    Article  PubMed  Google Scholar 

  22. Mitchell DG, Vinitski S, Saponaro S, Tasciyan T, Burk DL, Rifkin MD Jr (1991) Liver and pancreas: improved spin-echo T1 contrast by shorter echo time and fat suppression at 1.5 T. Radiology 178:67–71

    PubMed  CAS  Google Scholar 

  23. Cesbron-Metivier E, Roullier V, Boursier J et al (2010) Noninvasive liver steatosis quantification using MRI techniques combined with blood markers. Eur J Gastroenterol Hepatol 22:973–982

    Article  PubMed  Google Scholar 

  24. Fischer MA, Nanz D, Reiner CS et al (2010) Diagnostic performance and accuracy of 3-D spoiled gradient-dual-echo MRI with water- and fat-signal separation in liver-fat quantification: comparison to liver biopsy. Invest Radiol 45:465–470

    Article  PubMed  Google Scholar 

  25. McPherson S, Jonsson JR, Cowin GJ et al (2009) Magnetic resonance imaging and spectroscopy accurately estimate the severity of steatosis provided the stage of fibrosis is considered. J Hepatol 51:389–397

    Article  PubMed  Google Scholar 

  26. Boll DT, Marin D, Redmon GM, Zink SI, Merkle EM (2010) Pilot study assessing differentiation of steatosis hepatis, hepatic iron overload, and combined disease using two-point dixon MRI at 3T: in vitro and in vivo results of a 2D decomposition technique. AJR Am J Roentgenol 194:964–971

    Article  PubMed  Google Scholar 

  27. Liu CY, McKenzie CA, Yu H, Brittain JH, Reeder SB (2007) Fat quantification with IDEAL gradient echo imaging: correction of bias from T(1) and noise. Magn Reson Med 58:354–364

    Article  PubMed  Google Scholar 

  28. Meisamy S, Hines CD, Hamilton G et al (2011) Quantification of hepatic steatosis with T1-independent, T2-corrected MR imaging with spectral modeling of fat: blinded comparison with MR spectroscopy. Radiology 258:767–775

    Article  PubMed  Google Scholar 

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Correspondence to Michael A. Fischer.

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Fischer, M.A., Donati, O.F., Chuck, N. et al. Two- versus three-dimensional dual gradient-echo MRI of the liver: a technical comparison. Eur Radiol 23, 408–416 (2013). https://doi.org/10.1007/s00330-012-2614-z

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  • DOI: https://doi.org/10.1007/s00330-012-2614-z

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