Age- and level-dependence of fatty infiltration in lumbar paravertebral muscles of healthy volunteers

American Journal of Neuroradiology

Volumn 37, Issue 4, 2016, Pages 742-748

  Crawford, R J ^a,b   Filli, L ^c   Elliott, J M ^a,d,e   Nanz, D ^c   Fischer, M A ^c   Marcon, M ^c,f   Ulbrich, E J ^c  

^a ZURICH UNIVERSITY OF APPLIED SCIENCES   (Switzerland)

^b CURTIN UNIVERSITY   (Australia)

^c University Hospital Zurich Institut fur Diagnostische Radiologie   (Switzerland)

^d NORTHWESTERN UNIVERSITY   (United States)

^e UNIVERSITY OF QUEENSLAND   (Australia)

^f SANTA MARIA DELLA MISERICORDIA UNIVERSITY HOSPITAL   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGING; ARTICLE; BODY MASS; ERECTOR SPINAE MUSCLE; FAT CONTENT; FEMALE; GROUPS BY AGE; HUMAN; HUMAN EXPERIMENT; LUMBAR PARAVERTEBRAL MUSCLE; LUMBAR SPINE; MALE; MUSCLE MASS; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PARASPINAL MUSCLE; PROSPECTIVE STUDY; SEX DIFFERENCE; WHOLE BODY MRI; ADIPOSE TISSUE; BACK MUSCLE; DIAGNOSTIC IMAGING; GROWTH, DEVELOPMENT AND AGING; IMAGE PROCESSING; IMPEDANCE; LOW BACK PAIN; LUMBOSACRAL REGION; MIDDLE AGED; PATHOLOGY; SEXUAL DEVELOPMENT; WHOLE BODY IMAGING; YOUNG ADULT;

ADIPOSE TISSUE; ADULT; AGING; BACK MUSCLES; BODY MASS INDEX; ELECTRIC IMPEDANCE; FEMALE; HEALTHY VOLUNTEERS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LOW BACK PAIN; LUMBOSACRAL REGION; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; PROSPECTIVE STUDIES; SEX CHARACTERISTICS; WHOLE BODY IMAGING; YOUNG ADULT;

EID: 84963818137     PISSN: 01956108     EISSN: 1936959X     Source Type: Journal    
DOI: 10.3174/ajnr.A4596     Document Type: Article

References (42)

1. Akagi R, Takai Y, Kato E, et al. Development of an equation to predict muscle volume of elbow flexors for men and women with a wide range of age. Eur J Appl Physiol 2010;108:689-94 CrossRef Medline
2. Samagh SP, Kramer EJ, Melkus G, et al. MRI quantification of fatty infiltration and muscle atrophy in a mouse model of rotator cuff tears. J Orthop Res 2013;31:421-26 CrossRef Medline
3. Elliott JM, Flynn TW, Al-Najjar A, et al. The pearls and pitfalls of magnetic resonance imaging for the spine. J Orthop Sports Phys Ther 2011;41:848-60 CrossRef Medline
4. Elliott JM, O'Leary S, Sterling M, et al. Magnetic resonance imaging findings of fatty infiltrate in the cervical flexors in chronic whiplash. Spine 2010;35:948-54 CrossRef Medline
5. Fischer MA, Nanz D, Shimakawa A, et al. Quantification of muscle fat in patients with low back pain: comparison of multi-echo MR imaging with single-voxel MR spectroscopy. Radiology 2013;266:555-63 CrossRef Medline
6. Reeder SB, Hu HH, Sirlin CB. Proton density fat-fraction: a standardized MR-based biomarker of tissue fat concentration. J Magn Reson Imaging 2012;36:1011-14 CrossRef Medline
7. Elliott J, Pedler A, Kenardy J, et al. The temporal development of fatty infiltrates in the neck muscles following whiplash injury: an association with pain and posttraumatic stress. PLoS One 2011;6:e21194 CrossRef Medline
8. Fischer MA, Pfirrmann CW, Espinosa N, et al. Dixon-based MRI for assessment of muscle-fat content in phantoms, healthy volunteers and patients with achillodynia: comparison tovisual assessment of calf muscle quality. Eur Radiol 2014;24:1366-75 CrossRef Medline
9. Smith AC, Parrish TB, Abbott R, et al. Muscle-fat MRI: 1.5 Tesla and 3.0 Tesla versus histology. Muscle Nerve 2014;50:170-76 CrossRef Medline
10. Dixon WT. Simple proton spectroscopic imaging. Radiology 1984;153:189-94 CrossRef Medline
11. Ma J. Dixon techniques for water and fat imaging. J Magn Reson Imaging 2008;28:543-58 CrossRef Medline
12. Elliott JM, Walton DM, Rademaker A, et al. Quantification of cervical spine muscle fat:acomparison between T1-weighted and multiecho gradient echo imaging using a variable projection algorithm (VARPRO). BMC Med Imag 2013;13:30 CrossRef Medline
13. Paalanne N, Niinimaki J, Karppinen J, et al. Assessment of association between low back pain and paraspinal muscle atrophy using opposed-phase magnetic resonance imaging: a population-based study among young adults. Spine 2011;36:1961-68 CrossRef Medline
14. Elliott JM, Courtney DM, Rademaker A, et al. The rapid and progressive degeneration of the cervical multifidus in whiplash: a MRI study of fatty infiltration. Spine (Phila Pa 1976) 2015;40:E694-700 CrossRef Medline
15. Gaeta M, Scribano E, Mileto A, et al. Muscle fat fraction in neuromuscular disorders: dual-echo dual-flip-angle spoiled gradient-recalled MR imaging technique for quantification-a feasibility study. Radiology 2011;259:487-94 CrossRef Medline
16. Danneels LA, Vanderstraeten GG, Cambier DC, et al. CT imaging of trunk muscles in chronic low back pain patients and healthy control subjects. Eur Spine J 2000;9:266-72 CrossRef Medline
17. Fortin M, Videman T, Gibbons LE, et al. Paraspinal muscle morphology and composition:a15-yr longitudinal magnetic resonance imaging study. Med Sci Sports Exerc 2014;46:893-901 CrossRef Medline
18. Fortin M, Yuan Y, Battié MC. Factors associated with paraspinal muscle asymmetry in size and composition ina general population sample of men. Phys Ther 2013;93:1540-50 CrossRef Medline
19. Hides J, Gilmore C, Stanton W, et al. Multifidus size and symmetry among chronic LBP and healthy asymptomatic subjects. Man Ther 2008;13:43-49 CrossRef Medline
20. Ploumis A, Michailidis N, Christodoulou P, et al. Ipsilateral atrophy ofparaspinal and psoasmuscleinunilateral backpainpatientswith monosegmental degenerative disc disease. Br J Radiol 2011;84:709-13 CrossRef Medline
21. Teichtahl AJ, Urquhart DM, Wang Y, et al. Fat infiltration of paraspinal muscles is associated with low back pain, disability, and structural abnormalities in community-based adults. Spine J 2015;15:1593-601 CrossRef Medline
22. Hodges P, Holm AK, Hansson T, et al. Rapid atrophy of the lumbar multifidus follows experimental disc or nerve root injury. Spine 2006;31:2926-33 CrossRef Medline
23. Farshad M, Gerber C, Farshad-Amacker NA, et al. Asymmetryofthe multifidus muscle in lumbar radicular nerve compression. Skeletal Radiol 2014;43:49-53 CrossRef Medline
24. Kjaer P, Bendix T, Sorensen JS, et al. Are MRI-defined fat infiltrationsinthe multifidus muscles associatedwith low backpain? BMC Med 2007;5:2 CrossRef Medline
25. Mengiardi B, Schmid MR, Boos N, et al. Fat content of lumbar paraspinalmusclesinpatientswithchronic lowbackpain andinasymptomatic volunteers: quantification with MR spectroscopy. Radiology 2006;240:786-92 CrossRef Medline
26. Parkkola R, Rytökoski U, Kormano M. Magnetic resonance imaging of the discs and trunk muscles in patients with chronic low back pain and healthy control subjects. Spine 1993;18:830-36 CrossRef Medline
27. Barker KL, Shamley DR, Jackson D. Changes in the cross-sectional area of multifidus and psoas in patients with unilateral back pain: the relationship to pain and disability. Spine 2004;29:E515-19 CrossRef Medline
28. Meakin JR, Fulford J, Seymour R, et al. The relationship between sagittal curvature and extensor muscle volumeinthe lumbar spine. J Anat 2013;222:608-14 CrossRef Medline
29. Valentin S, Licka T, Elliott J. Age and side-related morphometric MRI evaluationof trunk muscles in people without back pain. Man Ther 2015;20:90-95 CrossRef Medline
30. Brinjikji W, Luetmer PH, Comstock B, et al. Systematic literature review of imaging features of spinal degeneration in asymptomatic populations. AJNR Am J Neuroradiol 2015;36:811-16 CrossRef Medline
31. Obesity: preventing and managing the global epidemic: report of a WHO consultation. World Health Organ Tech Rep Ser 2000;894:i-xii, 1-253 Medline
32. Hoffman M, Schrader J, Applegate T, et al. Unilateral postural control of the functionally dominant and nondominant extremities of healthy subjects. J Athl Train 1998;33:319-22 Medline
33. Cassidy FH, Yokoo T, Aganovic L, et al. Fatty liver disease: MR imaging techniques for the detection and quantification of liver steatosis. Radiographics 2009;29:231-60 CrossRef Medline
34. D'Hooge R, Cagnie B, Crombez G, et al. Increased intramuscular fatty infiltration without differences in lumbar muscle cross-sectional area during remission of unilateral recurrent low back pain. Man Ther 2012;17:584-88 CrossRef Medline
35. Been E, Kalichman L. Lumbar lordosis. Spine J 2014;14:87-97 CrossRef Medline
36. Tong HC, Haig AJ, Yamakawa KS, et al. Paraspinal electromyography: age-correlated normative values in asymptomatic subjects. Spine 2005;30:E499-502 CrossRef Medline
37. Haig AJ, London Z, Sandella DE. Symmetry of paraspinal muscle denervation in clinical lumbar spinal stenosis: support for a hypothesis of posterior primary ramus stretching? Muscle Nerve 2013;48:198-203 CrossRef Medline
38. Yarjanian JA, Fetzer A, Yamakawa KS, et al. Correlation of paraspinal atrophy and denervation in back pain and spinal stenosis relative to asymptomatic controls. PM R 2013;5:39-44 CrossRef Medline
39. Abbott R, Pedler A, Sterling M, et al. The geography of fatty infiltrates within the cervical multifidus and semispinalis cervicis in individuals with chronic whiplash-associated disorders. J Orthop Sports Phys Ther 2015;45:281-88 CrossRef Medline
40. Niemelainen R, Briand MM, Battie MC. Substantial asymmetry in paraspinal muscle cross-sectional area in healthy adults questions its value as a marker of low back pain and pathology. Spine 2011;36:2152-57 CrossRef Medline
41. Doherty TJ. Invited review: aging and sarcopenia. J Appl Physiol 2003;95:1717-27 CrossRef Medline
42. Sillanpaä E, Cheng S, Hakkinen K, et al. Body composition in 18-to 88-year-old adults-comparison of multifrequency bioimpedance and dual-energy X-ray absorptiometry. Obesity 2014;22:101-09 CrossRef Medline