Quantification of muscle fat in patients with low back pain: comparison of multi-echo MR imaging with single-voxel MR spectroscopy
- PMID: 23143025
- DOI: 10.1148/radiol.12120399
Quantification of muscle fat in patients with low back pain: comparison of multi-echo MR imaging with single-voxel MR spectroscopy
Abstract
Purpose: To compare lumbar muscle fat-signal fractions derived from three-dimensional dual gradient-echo magnetic resonance (MR) imaging and multiple gradient-echo MR imaging with fractions from single-voxel MR spectroscopy in patients with low back pain.
Materials and methods: This prospective study had institutional review board approval, and written informed consent was obtained from all study participants. Fifty-six patients (32 women; mean age, 52 years ± 15 [standard deviation]; age range, 20-79 years) with low back pain underwent standard 1.5-T MR imaging, which was supplemented by dual-echo MR imaging, multi-echo MR imaging, and MR spectroscopy to quantify fatty degeneration of bilateral lumbar multifidus muscles in a region of interest at the intervertebral level of L4 through L5. Fat-signal fractions were determined from signal intensities on fat- and water-only images from both imaging data sets (dual-echo and multi-echo fat-signal fractions without T2* correction) or directly obtained, with additional T2* correction, from multi-echo MR imaging. The results were compared with MR spectroscopic fractions. The Student t test and Bland-Altman plots were used to quantify agreement between fat-signal fractions derived from imaging and from spectroscopy.
Results: In total, 102 spectroscopic measurements were obtained bilaterally (46 of 56) or unilaterally (10 of 56). Mean spectroscopic fat-signal fraction was 19.6 ± 11.4 (range, 5.4-63.5). Correlation between spectroscopic and all imaging-based fat-signal fractions was statistically significant (R(2) = 0.87-0.92; all P < .001). Mean dual-echo fat-signal fractions not corrected for T2* and multi-echo fat-signal fractions corrected for T2* significantly differed from spectroscopic fractions (both P < .01), but mean multi-echo fractions not corrected for T2* did not (P = .11). There was a small measurement bias of 0.5% (95% limits of agreement: -6.0%, 7.2%) compared with spectroscopic fractions.
Conclusion: Large-volume image-based (dual-echo and multi-echo MR imaging) and spectroscopic fat-signal fractions agree well, thus allowing fast and accurate quantification of muscle fat content in patients with low back pain.
Comment in
-
[3D MRI for the representation of fat infiltration in the lumbar muscles].Rofo. 2013 Aug;185(8):688. doi: 10.1055/s-0032-1319625. Rofo. 2013. PMID: 24058983 German. No abstract available.
Similar articles
-
Quantification of liver fat content: comparison of triple-echo chemical shift gradient-echo imaging and in vivo proton MR spectroscopy.Radiology. 2009 Jan;250(1):95-102. doi: 10.1148/radiol.2493080217. Radiology. 2009. PMID: 19092092
-
Muscle fat fraction in neuromuscular disorders: dual-echo dual-flip-angle spoiled gradient-recalled MR imaging technique for quantification--a feasibility study.Radiology. 2011 May;259(2):487-94. doi: 10.1148/radiol.10101108. Epub 2011 Jan 28. Radiology. 2011. PMID: 21324839
-
Comparison of Multi-Echo Dixon Methods with Volume Interpolated Breath-Hold Gradient Echo Magnetic Resonance Imaging in Fat-Signal Fraction Quantification of Paravertebral Muscle.Korean J Radiol. 2015 Sep-Oct;16(5):1086-95. doi: 10.3348/kjr.2015.16.5.1086. Epub 2015 Aug 21. Korean J Radiol. 2015. PMID: 26357503 Free PMC article.
-
Linearity, Bias, and Precision of Hepatic Proton Density Fat Fraction Measurements by Using MR Imaging: A Meta-Analysis.Radiology. 2018 Feb;286(2):486-498. doi: 10.1148/radiol.2017170550. Epub 2017 Sep 11. Radiology. 2018. PMID: 28892458 Free PMC article. Review.
-
1H spectroscopic imaging at high spatial resolution.NMR Biomed. 1989 Dec;2(5-6):234-9. doi: 10.1002/nbm.1940020511. NMR Biomed. 1989. PMID: 2701806 Review.
Cited by
-
The Association between the Magnetic Resonance Imaging Findings of Adhesive Capsulitis and Shoulder Muscle Fat Quantification Using a Multi-Echo Dixon Method.Korean J Radiol. 2018 Jan-Feb;19(1):63-71. doi: 10.3348/kjr.2018.19.1.63. Epub 2018 Jan 2. Korean J Radiol. 2018. PMID: 29354001 Free PMC article.
-
Association between paraspinal muscle morphology, clinical symptoms and functional status in patients with lumbar spinal stenosis.Eur Spine J. 2017 Oct;26(10):2543-2551. doi: 10.1007/s00586-017-5228-y. Epub 2017 Jul 26. Eur Spine J. 2017. PMID: 28748488
-
Texture Features of Proton Density Fat Fraction Maps from Chemical Shift Encoding-Based MRI Predict Paraspinal Muscle Strength.Diagnostics (Basel). 2021 Feb 4;11(2):239. doi: 10.3390/diagnostics11020239. Diagnostics (Basel). 2021. PMID: 33557080 Free PMC article.
-
Quantitative Study of Vertebral Body and Paravertebral Muscle Degeneration Based on Dual-Energy Computed Tomography: Correlation With Bone Mineral Density.J Comput Assist Tomogr. 2023 Jan-Feb 01;47(1):86-92. doi: 10.1097/RCT.0000000000001388. Epub 2022 Oct 10. J Comput Assist Tomogr. 2023. PMID: 36668981 Free PMC article.
-
Risk Factor Analysis for Fat Infiltration in the Lumbar Paraspinal Muscles in Patients With Lumbar Degenerative Diseases.Geriatr Orthop Surg Rehabil. 2022 Jan 13;13:21514593211070688. doi: 10.1177/21514593211070688. eCollection 2022. Geriatr Orthop Surg Rehabil. 2022. PMID: 35070477 Free PMC article.
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources