Abstract
Objectives
To evaluate quantification of early fatty infiltration in supraspinatus muscles with magnetic resonance (MR) imaging using a T2*-corrected multi-echo 3D-gradient-echo Dixon-based sequence (multi-echo Dixon) and compare it to proton-MR-spectroscopy.
Methods
Sixty subjects (mean age 46 years, 41 men) with good supraspinatus muscle quality on 1.5 T MR imaging were included. Fat percentage (FP) in the supraspinatus muscle was quantified using a multi-echo Dixon compared to single-voxel MR spectroscopy as reference standard. In 18 subjects the multi-echo Dixon was repeated to assess test-retest reliability. Measurements based on multi-echo Dixon were performed by two independent readers by placing regions-of-interest (ROIs) in the supraspinatus muscle corresponding to the MR-spectroscopy voxel. Intraclass and concordance correlation coefficients (ICC/CCC) were used for statistical analysis.
Results
Test-retest reliability was substantial for reader 1 (ICC = 0.757) and almost perfect for reader 2 (ICC = 0.873). Inter-reader reliability for multi-echo Dixon was almost perfect (ICC = 0.893, P < .0005). Mean FP in all 60 subjects with multi-echo Dixon was 3.5 ± 1.6 for reader 1, 3.7 ± 1.8 for reader 2, and 2.8 ± 1.4 with MR spectroscopy. Correlation between multi-echo Dixon and MR spectroscopy was moderate (CCC = 0.641).
Conclusion
The multi-echo Dixon sequence is a reliable method and comparable to MR-spectroscopy for quantification of low levels of fatty infiltration in the supraspinatus muscle.
Key Points
• Multi-echo Dixon for low fat quantification in muscles is reliable.
• Multi-echo Dixon low fat quantification is comparable to single-voxel MR spectroscopy
• Multi-echo Dixon detects substantial differences in fatty infiltration within Goutallier 0–1.
Similar content being viewed by others
Abbreviations
- FP:
-
Fat percentage
References
White JJ, Titchener AG, Fakis A, Tambe AA, Hubbard RB, Clark DI (2014) An epidemiological study of rotator cuff pathology using The Health Improvement Network database. Bone Joint J 96-B:350–353
Wening JD, Hollis RF, Hughes RE, Kuhn JE (2002) Quantitative morphology of full thickness rotator cuff tears. Clin Anat 15:18–22
Gladstone JN, Bishop JY, Lo IK, Flatow EL (2007) Fatty infiltration and atrophy of the rotator cuff do not improve after rotator cuff repair and correlate with poor functional outcome. Am J Sports Med 35:719–728
Oh JH, Kim SH, Ji HM, Jo KH, Bin SW, Gong HS (2009) Prognostic factors affecting anatomic outcome of rotator cuff repair and correlation with functional outcome. Arthroscopy 25:30–39
Fuchs B, Gilbart MK, Hodler J, Gerber C (2006) Clinical and structural results of open repair of an isolated one-tendon tear of the rotator cuff. J Bone Joint Surg Am 88:309–316
Rubino LJ, Sprott DC, Stills HF Jr, Crosby LA (2008) Fatty infiltration does not progress after rotator cuff repair in a rabbit model. Arthroscopy 24:936–940
Melis B, DeFranco MJ, Chuinard C, Walch G (2010) Natural history of fatty infiltration and atrophy of the supraspinatus muscle in rotator cuff tears. Clin Orthop Relat Res 468:1498–1505
Barry JJ, Lansdown DA, Cheung S, Feeley BT, Ma CB (2013) The relationship between tear severity, fatty infiltration, and muscle atrophy in the supraspinatus. J Shoulder Elb Surg 22:18–25
Goutallier D, Postel JM, Bernageau J, Lavau L, Voisin MC (1994) Fatty muscle degeneration in cuff ruptures. Pre- and postoperative evaluation by CT scan. Clin Orthop Relat Res 304:78–83
Fuchs B, Weishaupt D, Zanetti M, Hodler J, Gerber C (1999) Fatty degeneration of the muscles of the rotator cuff: assessment by computed tomography versus magnetic resonance imaging. J Should Elb Surg 8:599–605
Slabaugh MA, Friel NA, Karas V, Romeo AA, Verma NN, Cole BJ (2012) Interobserver and intraobserver reliability of the Goutallier classification using magnetic resonance imaging: proposal of a simplified classification system to increase reliability. Am J Sports Med 40:1728–1734
Nardo L, Karampinos DC, Lansdown DA et al (2014) Quantitative assessment of fat infiltration in the rotator cuff muscles using water-fat MRI. J Magn Reson Imaging 39:1178–1185
De Kerviler E, Leroy-Willig A, Duboc D, Eymard B, Syrota A (1996) MR quantification of muscle fatty replacement in McArdle's disease. Magn Reson Imaging 14:1137–1141
Phoenix J, Betal D, Roberts N, Helliwell TR, Edwards RH (1996) Objective quantification of muscle and fat in human dystrophic muscle by magnetic resonance image analysis. Muscle Nerve 19:302–310
Fischer MA, Pfirrmann CW, Espinosa N, Raptis DA, Buck FM (2014) Dixon-based MRI for assessment of muscle-fat content in phantoms, healthy volunteers and patients with achillodynia: comparison to visual assessment of calf muscle quality. Eur Radiol 24:1366–1375
Morrow JM, Sinclair CD, Fischmann A et al (2014) Reproducibility, and age, body-weight and gender dependency of candidate skeletal muscle MRI outcome measures in healthy volunteers. Eur Radiol 24:1610–1620
Doro LC, Ladd B, Hughes RE, Chenevert TL (2009) Validation of an adapted MRI pulse sequence for quantification of fatty infiltration in muscle. Magn Reson Imaging 27:823–827
Kostler H, Kenn W, Hummer C, Bohm D, Hahn D (2002) 2D-SPLASH spectroscopy to determine the fat/water ratio in the muscle of the rotator cuff. Röfo 174:991–995
Lee S, Lucas RM, Lansdown DA et al (2015) Magnetic resonance rotator cuff fat fraction and its relationship with tendon tear severity and subject characteristics. J Should Elb Surg 24:1442–1451
Gaeta M, Scribano E, Mileto A et al (2011) Muscle fat fraction in neuromuscular disorders: dual-echo dual-flip-angle spoiled gradient-recalled MR imaging technique for quantification--a feasibility study. Radiology 259:487–494
Deniz G, Kose O, Tugay A, Guler F, Turan A (2014) Fatty degeneration and atrophy of the rotator cuff muscles after arthroscopic repair: does it improve, halt or deteriorate? Arch Orthop Trauma Surg 134:985–990
Zhong X, Nickel MD, Kannengiesser SA, Dale BM, Kiefer B, Bashir MR (2014) Liver fat quantification using a multi-step adaptive fitting approach with multi-echo GRE imaging. Magn Reson Med 72:1353–1365
Pineda N, Sharma P, Xu Q, Hu X, Vos M, Martin DR (2009) Measurement of hepatic lipid: high-speed T2-corrected multiecho acquisition at 1H MR spectroscopy--a rapid and accurate technique. Radiology 252:568–576
Kuhn JP, Evert M, Friedrich N et al (2011) Noninvasive quantification of hepatic fat content using three-echo dixon magnetic resonance imaging with correction for T2* relaxation effects. Investig Radiol 46:783–789
Lawrence I, Lin K (1989) A concordance correlation coefficient to evaluate reproducibility. Biometrics 45:255–268
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
Kukuk GM, Hittatiya K, Sprinkart AM et al (2015) Comparison between modified Dixon MRI techniques, MR spectroscopic relaxometry, and different histologic quantification methods in the assessment of hepatic steatosis. Eur Radiol. doi:10.1007/s00330-015-3703-6
Ishizaka K, Oyama N, Mito S et al (2011) Comparison of 1H MR spectroscopy, 3-point DIXON, and multi-echo gradient echo for measuring hepatic fat fraction. Magn Reson Med Sci 10:41–48
Bashir MR, Zhong X, Nickel MD et al (2015) Quantification of hepatic steatosis with a multistep adaptive fitting MRI approach: prospective validation against MR spectroscopy. AJR Am J Roentgenol 204:297–306
Hu HH, Kan HE (2013) Quantitative proton MR techniques for measuring fat. NMR Biomed 26:1609–1629
Pfirrmann CW, Schmid MR, Zanetti M, Jost B, Gerber C, Hodler J (2004) Assessment of fat content in supraspinatus muscle with proton MR spectroscopy in asymptomatic volunteers and patients with supraspinatus tendon lesions. Radiology 232:709–715
Fischer MA, Nanz D, Shimakawa A et al (2013) Quantification of muscle fat in patients with low back pain: comparison of multi-echo MR imaging with single-voxel MR spectroscopy. Radiology 266:555–563
Noble JJ, Keevil SF, Totman J, Charles-Edwards GD (2014) In vitro and in vivo comparison of two-, three- and four-point Dixon techniques for clinical intramuscular fat quantification at 3 T. Br J Radiol 87:20130761
Lee YH, Kim S, Lim D, Song H-T, Suh J-S (2015) MR quantification of the fatty fraction from T2*-corrected Dixon fat/water separation volume-interpolated breathhold examination (VIBE) in the assessment of muscle atrophy in rotator cuff tears. Acad Radiol. doi:10.1016/j.acra.2014.01.011
Liem D, Lichtenberg S, Magosch P, Habermeyer P (2007) Magnetic resonance imaging of arthroscopic supraspinatus tendon repair. J Bone Joint Surg Am 89:1770–1776
Merolla G, Paladini P, Saporito M, Porcellini G (2011) Conservative management of rotator cuff tears: literature review and proposal for a prognostic. Prediction Score. Muscles Ligaments Tendons J 1:12–19
Melis B, Wall B, Walch G (2010) Natural history of infraspinatus fatty infiltration in rotator cuff tears. J Shoulder Elb Surg 19:757–763
Mengiardi B, Schmid MR, Boos N et al (2006) Fat content of lumbar paraspinal muscles in patients with chronic low back pain and in asymptomatic volunteers: quantification with MR spectroscopy. Radiology 240:786–792
Acknowledgments
An oral abstract of this work was presented at ECR 2015. The scientific guarantor of this publication is Christoph Agten. 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. The authors state that this work has not received any funding. No complex statistical methods were necessary for this paper. Institutional Review Board approval was obtained. Written informed consent was obtained from all subjects (patients) in this study. Methodology: prospective, performed at one institution.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Agten, C.A., Rosskopf, A.B., Gerber, C. et al. Quantification of early fatty infiltration of the rotator cuff muscles: comparison of multi-echo Dixon with single-voxel MR spectroscopy. Eur Radiol 26, 3719–3727 (2016). https://doi.org/10.1007/s00330-015-4144-y
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00330-015-4144-y