The role of magnetic resonance imaging techniques in evaluation and management of the idiopathic inflammatory myopathies

Seminars in Arthritis and Rheumatism

Volumn 46, Issue 5, 2017, Pages 642-649

  Day, Jessica ^a,b   Patel, Sandy ^b   Limaye, Vidya ^b,c  

^a UNIVERSITY OF SOUTH AUSTRALIA   (Australia)

^b ROYAL ADELAIDE HOSPITAL   (Australia)

^c UNIVERSITY OF ADELAIDE   (Australia)

Author keywords

idiopathic inflammatory myopathy; magnetic resonance imaging; myositis

Indexed keywords

BLOOD OXYGENATION; DIAGNOSTIC ACCURACY; DIAGNOSTIC ERROR; DIFFUSION WEIGHTED IMAGING; DISEASE CLASSIFICATION; DISEASE SEVERITY; ELASTOGRAPHY; ENERGY METABOLISM; HISTOPATHOLOGY; HUMAN; IMAGE ANALYSIS; IONIZING RADIATION; MUSCLE BIOPSY; MUSCLE BLOOD FLOW; MUSCLE MASS; MUSCLE RIGIDITY; MUSCLE STRENGTH; MYOSITIS; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; OXIDATIVE PHOSPHORYLATION; REVIEW; SENSITIVITY AND SPECIFICITY; VALIDATION PROCESS; WHOLE BODY MRI; X-RAY COMPUTED TOMOGRAPHY; DIAGNOSTIC IMAGING; FEMALE; IMAGE GUIDED BIOPSY; MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PROCEDURES; SKELETAL MUSCLE; WHOLE BODY IMAGING;

FEMALE; HUMANS; IMAGE-GUIDED BIOPSY; MAGNETIC RESONANCE IMAGING; MALE; MUSCLE, SKELETAL; MYOSITIS; WHOLE BODY IMAGING;

EID: 85009484125     PISSN: 00490172     EISSN: 1532866X     Source Type: Journal    
DOI: 10.1016/j.semarthrit.2016.11.001     Document Type: Review

References (71)

1. [1] Tomasova Studynkova, J., Charvat, F., Jarosova, K., Vencovsky, J., The role of MRI in the assessment of polymyositis and dermatomyositis. Rheumatology (Oxford) 46 (2007), 1174–1179.
2. [2] Ten Dam, L., van der Kooi, A.J., Verhamme, C., Wattjes, M.P., de Visser, M., Muscle imaging in inherited and acquired muscle diseases. Eur J Neurol 23 (2016), 688–703.
3. [3] Ortolan, P., Zanato, R., Coran, A., Beltrame, V., Stramare, R., Role of radiologic imaging in genetic and acquired neuromuscular disorders. Eur J Transl Myol, 25, 2015, 5014.
4. [4] Zaidman, C., Hobson-Webb, L., Imaging of skeletal muscle in neuromuscular disease: a clinical perspective. Weber, M.A., (eds.) Magnetic resonance imaging of the skeletal musculature, 2013, Springer-Verlag, Berlin, 3–22.
5. [5] Kumar, Y., Wadhwa, V., Phillips, L., Pezeshk, P., Chhabra, A., MR imaging of skeletal muscle signal alterations: systematic approach to evaluation. Eur J Radiol 85 (2016), 922–935.
6. [6] Yao, L., Yip, A.L., Shrader, J.A., et al. Magnetic resonance measurement of muscle T2, fat-corrected T2 and fat fraction in the assessment of idiopathic inflammatory myopathies. Rheumatology (Oxford) 55:3 (2016), 441–449.
7. [7] Poon, C.S., Szumowski, J., Plewes, D.B., Ashby, P., Henkelman, R.M., Fat/water quantitation and differential relaxation time measurement using chemical shift imaging technique. Magn Reson Imaging 7 (1989), 369–382.
8. [8] Schedel, H., Reimers, C.D., Vogl, T., Witt, T.N., Muscle edema in MR imaging of neuromuscular diseases. Acta Radiol 36 (1995), 228–232.
9. [9] Adams, E.M., Chow, C.K., Premkumar, A., Plotz, P.H., The idiopathic inflammatory myopathies: spectrum of MR imaging findings. Radiographics 15 (1995), 563–574.
10. [10] Badrising, U.A., Kan, H., Verschuuren, J.J., MRI in inflammatory myopathies and autoimmune-mediated myositis. Weber, M.A., (eds.) Magnetic resonance imaging of the skeletal musculature, 2013, Springer-Verlag, Berlin, 256–266.
11. [11] Kuo, G.P., Carrino, J.A., Skeletal muscle imaging and inflammatory myopathies. Curr Opin Rheumatol 19 (2007), 530–535.
12. [12] Maurer, B., Walker, U.A., Role of MRI in diagnosis and management of idiopathic inflammatory myopathies. Curr Rheumatol Rep, 17, 2015, 67.
13. [13] Lamminen, A.E., Magnetic resonance imaging of primary skeletal muscle diseases: patterns of distribution and severity of involvement. Br J Radiol 63 (1990), 946–950.
14. [14] Wattjes, M.P., Kley, R.A., Fischer, D., Neuromuscular imaging in inherited muscle diseases. Eur Radiol 20 (2010), 2447–2460.
15. [15] Malattia, C., Damasio, M.B., Madeo, A., et al. Whole-body MRI in the assessment of disease activity in juvenile dermatomyositis. Ann Rheum Dis 73 (2014), 1083–1090.
16. [16] Barsotti, S., Zampa, V., Talarico, R., et al. Thigh magnetic resonance imaging for the evaluation of disease activity in patients with idiopathic inflammatory myopathies followed in a single center. Muscle Nerve 54 (2016), 666–672.
17. [17] Bartlett, M.L., Ginn, L., Beitz, L., Villalba, M.L., Plotz, P., Bacharach, S.L., Quantitative assessment of myositis in thigh muscles using magnetic resonance imaging. Magn Reson Imaging 17 (1999), 183–191.
18. [18] ack, J., Jones, T., Hutchinson, C., Bez, H., Edirisinghe, E., Automatic diagnosis of inflammatory muscle disease for MRI using computer-extracted features of bivariate histograms. Hadjiiski, L.M., Tourassi, G.D., (eds.) Medical Imaging 2015: computer-aided diagnosis, 2015, SPIE.
19. [19] Aggarwal, R., Ringold, S., Khanna, D., et al. Distinctions between diagnostic and classification criteria. Arthritis Care Res (Hoboken) 67 (2015), 891–897.
20. [20] Aggarwal, R., Ringold, S., Khanna, D., Linklater, H., Pipitone, N., Rose, M.R., et al. Classifying idiopathic inflammatory myopathies: comparing the performance of six existing criteria. Clin Exp Rheumatol 31 (2013), 767–769.
21. [21] Bohan, A., Peter, J.B., Polymyositis and dermatomyositis (first of two parts). N Engl J Med 292 (1975), 344–347.
22. [22] Lundberg, I.E., Miller, F.W., Tjarnlund, A., Bottai, M., Diagnosis and classification of idiopathic inflammatory myopathies. J Intern Med 280 (2016), 39–51.
23. [23] Dalakas, M.C., Hohlfeld, R., Polymyositis and dermatomyositis. Lancet 362 (2003), 971–982.
24. [24] Hoogendijk, J.E., Amato, A.A., Lecky, B.R., et al. 119th ENMC international workshop: trial design in adult idiopathic inflammatory myopathies, with the exception of inclusion body myositis, 10–12 October 2003, Naarden, The Netherlands. Neuromuscul Disord 14:5 (2004), 337–345.
25. [25] Dobloug, C., Garen, T., Bitter, H., et al. Prevalence and clinical characteristics of adult polymyositis and dermatomyositis; data from a large and unselected Norwegian cohort. Ann Rheum Dis 74 (2015), 1551–1556.
26. [26] Beese, M.S., Winkler, G., Nicolas, V., et al. The diagnosis of inflammatory muscular and vascular diseases using MRT with STIR sequences. Rofo 158 (1993), 542–549.
27. [27] Weber, M.A., Jappe, U., Essig, M, et al. Contrast-enhanced ultrasound in dermatomyositis and polymyositis. J Neurol 253 (2006), 1625–1632.
28. [28] Dion, E., Cherin, P., Payan, C., et al. Magnetic resonance imaging criteria for distinguishing between inclusion body myositis and polymyositis. J Rheumatol 29 (2002), 1897–1906.
29. [29] Reimers, C.D., Schedel, H., Fleckenstein, J.L., et al. Magnetic resonance imaging of skeletal muscles in idiopathic inflammatory myopathies of adults. J Neurol 241 (1994), 306–314.
30. [30] Van De Vlekkert, J., Maas, M., Hoogendijk, J.E., De Visser, M., Van Schaik, I.N., Combining MRI and muscle biopsy improves diagnostic accuracy in subacute-onset idiopathic inflammatory myopathy. Muscle Nerve 51 (2015), 253–258.
31. [31] Schweitzer, M.E., Fort, J., Cost-effectiveness of MR imaging in evaluating polymyositis. AJR Am J Roentgenol 165 (1995), 1469–1471.
32. [32] Rider, L.G., Werth, V.P., Huber, A.M., et al. Measures of adult and juvenile dermatomyositis, polymyositis, and inclusion body myositis: Physician and Patient/Parent Global Activity, Manual Muscle Testing (MMT), Health Assessment Questionnaire (HAQ)/Childhood Health Assessment Questionnaire (C-HAQ), Childhood Myositis Assessment Scale (CMAS), Myositis Disease Activity Assessment Tool (MDAAT), Disease Activity Score (DAS), Short Form 36 (SF-36), Child Health Questionnaire (CHQ), physician global damage, Myositis Damage Index (MDI), Quantitative Muscle Testing (QMT), Myositis Functional Index-2 (FI-2), Myositis Activities Profile (MAP), Inclusion Body Myositis Functional Rating Scale (IBMFRS), Cutaneous Dermatomyositis Disease Area and Severity Index (CDASI), Cutaneous Assessment Tool (CAT), Dermatomyositis Skin Severity Index (DSSI), Skindex, and Dermatology Life Quality Index (DLQI). Arthritis Care Res (Hoboken) 63:Suppl. 11 (2011), S118–S157.
33. [33] Cox, F.M., Reijnierse, M., van Rijswijk, C.S., Wintzen, A.R., Verschuuren, J.J., Magnetic resonance imaging of skeletal muscles in sporadic inclusion body myositis. Rheumatology (Oxford) 50 (2011), 1153–1161.
34. [34] Rider, L.G., Assessment of disease activity and its sequelae in children and adults with myositis. Curr Opin Rheumatol 8 (1996), 495–506.
35. [35] Bohlmeyer, T.J., Wu, A.H., Perryman, M.B., Evaluation of laboratory tests as a guide to diagnosis and therapy of myositis. Rheum Dis Clin North Am 20 (1994), 845–856.
36. [36] Fraser, D.D., Frank, J.A., Dalakas, M., Miller, F.W., Hicks, J.E., Plotz, P., Magnetic resonance imaging in the idiopathic inflammatory myopathies. J Rheumatol 18 (1991), 1693–1700.
37. [37] Hernandez, R.J., Sullivan, D.B., Chenevert, T.L., Keim, D.R., MR imaging in children with dermatomyositis: musculoskeletal findings and correlation with clinical and laboratory findings. AJR Am J Roentgenol 161 (1993), 359–366.
38. [38] Zheng, Y., Liu, L., Wang, L., et al. Magnetic resonance imaging changes of thigh muscles in myopathy with antibodies to signal recognition particle. Rheumatology (Oxford) 54 (2015), 1017–1024.
39. [39] Cantwell, C., Ryan, M., O'Connell, M., et al. A comparison of inflammatory myopathies at whole-body turbo STIR MRI. Clin Radiol 60 (2005), 261–267.
40. [40] Tiniakou, E., Mammen, A.L., Idiopathic inflammatory myopathies and malignancy: a comprehensive review. Clin Rev Allergy Immunol, 2015 [Epub ahead of print].
41. [41] Limaye, V., Luke, C., Tucker, G., et al. The incidence and associations of malignancy in a large cohort of patients with biopsy-determined idiopathic inflammatory myositis. Rheumatol Int 33 (2013), 965–971.
42. [42] Dalakas, M.C., Inflammatory muscle diseases. N Engl J Med 372 (2015), 1734–1747 [Epub ahead of print].
43. [43] Pinal-Fernandez, I., Casal-Dominguez, M., Carrino, J.A., et al. Thigh muscle MRI in immune-mediated necrotising myopathy: extensive oedema, early muscle damage and role of anti-SRP autoantibodies as a marker of severity. Ann Rheum Dis, 2016.
44. [44] Badrising, U.A., Maat-Schieman, M.L., van Houwelingen, J.C., et al. Inclusion body myositis. Clinical features and clinical course of the disease in 64 patients. J Neurol 252:12 (2005), 1448–1454.
45. [45] Sekul, E.A., Chow, C., Dalakas, M.C., Magnetic resonance imaging of the forearm as a diagnostic aid in patients with sporadic inclusion body myositis. Neurology 48 (1997), 863–866.
46. [46] Tasca, G., Monforte, M., De Fino, C., Kley, R.A., Ricci, E., Mirabella, M., Magnetic resonance imaging pattern recognition in sporadic inclusion-body myositis. Muscle Nerve 52 (2015), 956–962.
47. [47] Boesch, C., MR spectroscopy and spectroscopic imaging for evaluation of skeletal muscle metabolism: basics and applications in metabolic diseases. Weber, M.A., (eds.) Magnetic resonance imaging of the skeletal musculature, 2013, Springer, Berlin, 135–164.
48. [48] Cea, G., Bendahan, D., Manners, D., et al. Reduced oxidative phosphorylation and proton efflux suggest reduced capillary blood supply in skeletal muscle of patients with dermatomyositis and polymyositis: a quantitative 31P-magnetic resonance spectroscopy and MRI study. Brain 125:Pt 7 (2002), 1635–1645.
49. [49] Newman, E.D., Kurland, R.J., P-31 magnetic resonance spectroscopy in polymyositis and dermatomyositis. Altered energy utilization during exercise. Arthritis Rheum 35 (1992), 199–203.
50. [50] Carry, M.R., Ringel, S.P., Starcevich, J.M., Distribution of capillaries in normal and diseased human skeletal muscle. Muscle Nerve 9 (1986), 445–454.
51. [51] Park, J.H., Olsen, N.J., King, L. Jr., et al. Use of magnetic resonance imaging and P-31 magnetic resonance spectroscopy to detect and quantify muscle dysfunction in the amyopathic and myopathic variants of dermatomyositis. Arthritis Rheum 38 (1995), 68–77.
52. [52] Lodi, R., Taylor, D.J., Tabrizi, S.J., et al. Normal in vivo skeletal muscle oxidative metabolism in sporadic inclusion body myositis assessed by 31P-magnetic resonance spectroscopy. Brain 121:Pt 11 (1998), 2119–2126.
53. [53] Argov, Z., Taivassalo, T., De Stefano, N., Genge, A., Karpati, G., Arnold, D.L., Intracellular phosphates in inclusion body myositis—a 31P magnetic resonance spectroscopy study. Muscle Nerve 21 (1998), 1523–1525.
54. [54] Park, J.H., Niermann, K.J., Ryder, N.M., et al. Muscle abnormalities in juvenile dermatomyositis patients: P-31 magnetic resonance spectroscopy studies. Arthritis Rheum 43 (2000), 2359–2367.
55. [55] Park, JH, Kari, S, King, LE Jr., Olsen, NJ, Analysis of 31P MR spectroscopy data using artificial neural networks for longitudinal evaluation of muscle diseases: dermatomyositis. NMR Biomed 11 (1998), 245–256.
56. [56] H., Okuma, Kurita, D., Ohnuki, T., Haida, M., Shinohara, Y., Muscle metabolism in patients with polymyositis simultaneously evaluated by using 31P-magnetic resonance spectroscopy and near-infrared spectroscopy. Int J Clin Pract 61 (2007), 684–689.
57. [57] Budzik, J.F., Balbi, V., Verclytte, S., Pansini, V., Le Thuc, V., Cotten, A., Diffusion tensor imaging in musculoskeletal disorders. Radiographics 34:3 (2014), E56–E72.
58. [58] Ai, T., Yu, K., Gao, L., et al. Diffusion tensor imaging in evaluation of thigh muscles in patients with polymyositis and dermatomyositis. Br J Radiol, 87, 2014 20140261.
59. [59] Heemskerk, A.M., Drost, M.R., van Bochove, G.S., van Oosterhout, M.F., Nicolay, K., Strijkers, G.J., DTI-based assessment of ischemia-reperfusion in mouse skeletal muscle. Magn Reson Med 56 (2006), 272–281.
60. [60] Sinha, S., Sinha, U., Edgerton, V.R., In vivo diffusion tensor imaging of the human calf muscle. J Magn Reson Imaging 24 (2006), 182–190.
61. [61] Galban, G.J., Maderwald, S., Stock, F., Ladd, M.E., Age-related changes in skeletal muscle as detected by diffusion tensor magnetic resonance imaging. J Gerontol A Biol Sci Med Sci 62 (2007), 453–458.
62. [62] Qi, J., Olsen, N.J., Price, R.R., Winston, J.A., Park, J.H., Diffusion-weighted imaging of inflammatory myopathies: polymyositis and dermatomyositis. J Magn Reson Imaging 27 (2008), 212–217.
63. [63] Le Bihan, D., Breton, E., Lallemand, D., Aubin, M.L., Vignaud, J., Laval-Jeantet, M., Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. Radiology 168 (1988), 497–505.
64. [64] Morvan, D., In vivo measurement of diffusion and pseudo-diffusion in skeletal muscle at rest and after exercise. Magn Reson Imaging 13 (1995), 193–199.
65. [65] Domire, Z.J., McCullough, M.B., Chen, Q., An, K.N., Feasibility of using magnetic resonance elastography to study the effect of aging on shear modulus of skeletal muscle. J Appl Biomech 25 (2009), 93–97.
66. [66] Muthupillai, R., Lomas, D.J., Rossman, P.J., Greenleaf, J.F., Manduca, A., Ehman, R.L., Magnetic resonance elastography by direct visualization of propagating acoustic strain waves. Science 269 (1995), 1854–1857.
67. [67] Bensamoun, S.F., Ringleb, S.I., Chen, Q., Ehman, R.L., An, K.N., Brennan, M., Thigh muscle stiffness assessed with magnetic resonance elastography in hyperthyroid patients before and after medical treatment. J Magn Reson Imaging 26 (2007), 708–713.
68. [68] McCullough, M.B., Domire, Z.J., Reed, A.M., et al. Evaluation of muscles affected by myositis using magnetic resonance elastography. Muscle Nerve 43 (2011), 585–590.
69. [69] Partovi, S., Schulte, A.C., Jacobi, B., et al. Blood oxygenation level-dependent (BOLD) MRI of human skeletal muscle at 1.5 and 3 T. J Magn Reson Imaging 35 (2012), 1227–1232.
70. [70] Duteil, S., Wary, C., Raynaud, J.S., et al. Influence of vascular filling and perfusion on BOLD contrast during reactive hyperemia in human skeletal muscle. Magn Reson Med 55 (2006), 450–454.
71. [71] Noseworthy, M.D., Bulte, D.P., Alfonsi, J., BOLD magnetic resonance imaging of skeletal muscle. Semin Musculoskelet Radiol 7 (2003), 307–315.