Abstract
Objective
Evaluate magnetic resonance imaging factors associated with osteoporotic vertebral compression fractures.
Materials and methods
We retrospectively reviewed 457 patients’ records. Age, sex, and body mass index were recorded. Two blinded readers measured psoas major and paraspinal muscle areas at the L3 vertebral body level on transverse T2-weighted magnetic resonance images and the mean apparent diffusion coefficient values of the non-fractured vertebrae from Th12 to L5. Inter-reader reliability for continuous variables was assessed by intraclass correlation coefficients.
Results
We evaluated 210 patients (103 [49.0%] men). The osteoporotic vertebral compression fractures group was older and had lower BMI and smaller psoas major and paraspinal muscle areas than the group without vertebral compression fractures (p < 0.001). The mean apparent diffusion coefficient was weakly correlated with paraspinal muscle area in the osteoporotic vertebral compression fractures group. The intraclass correlation coefficient value was 0.83, and the intraclass correlation coefficients of the psoas major and paraspinal muscles were 0.94 and 0.97, respectively. Multivariate analysis revealed that decreased psoas major and paraspinal muscle areas and increased mean apparent diffusion coefficient values were significantly associated with the presence of osteoporotic vertebral compression fractures (all p < 0.05). Psoas major and paraspinal muscle areas showed relatively high predictive accuracy (57%, 61%).
Conclusion
Psoas major and paraspinal muscle areas at the L3 level and the mean apparent diffusion coefficient value of non-fractured vertebrae from the Th12 to L5 level were associated with osteoporotic vertebral compression fractures. This may contribute to detecting the potential risk of healthy individuals developing osteoporotic vertebral compression fractures.
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References
Assessment of fracture risk and its application in screening for postmenopausal osteoporosis: report of a WHO study group. World Health Organ Tech Rep Ser. 1994;843:1–129.
Ji MX, Yu Q. Primary osteoporosis in postmenopausal women. Chronic Dis Transl Med. 2015;1(1):9–13. https://doi.org/10.1016/j.cdtm.2015.02.006.
Shiraki M, Kuroda T, Tanaka S. Established osteoporosis was associated with high mortality after adjusting for age and co-mobility in postmenopausal Japanese women. Intern Med. 2011;50(5):397–404. https://doi.org/10.2169/internalmedicine.50.4437.
Harrison RA, Siminoski K, Vethanayagam D, Majumdar SR. Osteoporosis-related kyphosis and impairments in pulmonary function: a systematic review. J Bone Miner Res. 2007;22(3):447–57. https://doi.org/10.1359/jbmr.061202.
Schlaich C, Minne HW, Bruckner T, et al. Reduced pulmonary function in patients with spinal osteoporotic fractures. Osteoporos Int. 1998;8(3):261–7. https://doi.org/10.1007/s001980050063.
Ensrud KE, Thompson DE, Cauley JA, et al. Prevalent vertebral deformities predict mortality and hospitalization in older women with low bone mass. J Am Geriat Soc. 2000;48(3):241–9. https://doi.org/10.1111/j.1532-5415.2000.tb02641.x.
Blake GM, Fogelman I. Role of DXA bone density scans in the diagnosis and treatment of osteoporosis. Postgrad Med J. 2007;83(982):509–17. https://doi.org/10.1136/pgmj.2007.057505.
Rand T, Seidl G, Kainberger F, et al. Impact of spinal degenerative changes on the evaluation of bone mineral density using dual-energy X-ray absorptiometry (DXA). Calcif Tissue Int. 1997;60(5):430–3. https://doi.org/10.1007/s002239900258.
Bandirali M, Di Leo G, Papini GD, et al. A new diagnostic score to detect osteoporosis in patients undergoing lumbar spine MRI. Eur Radiol. 2015;25(10):2951–9. https://doi.org/10.1007/s00330-015-3699-y.
He J, Fang H, Li X. Vertebral bone marrow diffusivity in normal adults with varying bone densities on 3T diffusion-weighted imaging. Acta Radiol. 2018;59(1):89–96. https://doi.org/10.1177/0284185117704235.
Momeni M, Asadzadeh M, Mowla K, Hanafi MG, Gharibvand MM, Sahraeizadeh A. Sensitivity and specificity assessment of DWI and ADC for the diagnosis of osteoporosis in postmenopausal patients. Radiol Med. 2020;125(1):68–74. https://doi.org/10.1007/s11547-019-01080-2.
Delmonico MJ, Beck DT. The current understanding of sarcopenia emerging tools and interventional possibilities. Am J Lifestyle Med. 2016;11(2):167–81. https://doi.org/10.1177/1559827615594343.
Taniguchi Y, Makizako H, Kiyama R, et al. The association between osteoporosis and grip strength and skeletal muscle mass in community-dwelling older women. Int J Environ Res Public Health. 2019;16:1228. https://doi.org/10.3390/ijerph16071228.
DI Monaco M, Castiglioni C, Bardesono F, et al. Is sarcopenia associated with osteoporosis? A cross-sectional study of 262 women with hip fracture. Eur J Phys Rehabil Med. 2022;58:638–45. https://doi.org/10.23736/S1973-9087.22.07215-X.
Genant HK, Wu CY, van Kuijk C, Nevitt MC. Vertebral fracture assessment using a semiquantitative technique. J Bone Miner Res. 1993;8(9):1137–48. https://doi.org/10.1002/jbmr.5650080915.
Hamaguchi Y, Kaido T, Okumura S, et al. Proposal for new diagnostic criteria for low skeletal muscle mass based on computed tomography imaging in Asian adults. Nutrition. 2016;32(11–12):1200–5. https://doi.org/10.1016/j.nut.2016.04.003.
Bigdon SF, Saldarriaga Y, Oswald KAC, et al. Epidemiologic analysis of 8000 acute vertebral fractures: evolution of treatment and complications at 10-year follow-up. J Orthop Surg Res. 17(1):270. https://doi.org/10.1186/s13018-022-03147-9.
Fernández-de Thomas RJ, De Jesus O. Thoracolumbar Spine Fracture. Treasure Island (FL): StatPearls Publishing; 2023.
Asomaning K, Bertone-Johnson ER, Nasca PC, Hooven F, Pekow PS. The association between body mass index and osteoporosis in patients referred for a bone mineral density examination. J Womens Health (Larchmt). 2006;15(9):1028–34. https://doi.org/10.1089/jwh.2006.15.1028.
Murata Y, Nakamura E, Tsukamoto M, et al. Longitudinal study of risk factors for decreased cross-sectional area of psoas major and paraspinal muscle in 1849 individuals. Sci Rep. 2021;11(1):16986. https://doi.org/10.1038/s41598-021-96448-8.
Dreischarf M, Albiol L, Rohlmann A, et al. Age-related loss of lumbar spinal lordosis and mobility-a study of 323 asymptomatic volunteers. PLoS One. 2014;9(12):e116186. https://doi.org/10.1371/journal.pone.0116186.
Amonoo-Kuofi HS. Changes in the lumbosacral angle, sacral inclination and the curvature of the lumbar spine during aging. Acta Anat (Basel). 1992;145(4):373–7. https://doi.org/10.1159/000147392.
Zhang Y, Dilixiati Y, Jiang, et al. Correlation of Psoas Muscle Index with Fragility Vertebral Fracture: A Retrospective Cross-Sectional Study of Middle-Aged and Elderly Women. Int J Endocrinol. 2022;2022:4149468. https://doi.org/10.1155/2022/4149468.
Jeon I, Kim SW, Yu D. Paraspinal muscle fatty degeneration as a predictor of progressive vertebral collapse in osteoporotic vertebral compression fractures. Spine J. 2002;22(2):313–20. https://doi.org/10.1016/j.spinee.2021.07.020.
Mourtzakis M, Prado CM, Lieffers JR, Reiman T, McCargar LJ, Baracos VE. A practical and precise approach to quantification of body composition in cancer patients using computed tomography images acquired during routine care. Appl Physiol Nutr Metab. 2008;33(5):997–1006. https://doi.org/10.1139/H08-075.
Fearon K, Strasser F, Anker SD, et al. Definition and classification of cancer cachexia: An international consensus. Lancet Oncol. 2011;12(5):489–95. https://doi.org/10.1016/S1470-2045(10)70218-7.
Cruz-Jentoft AJ, Baeyens JP, Bauer JM, et al. Sarcopenia: European consensus on definition and diagnosis: Report of the European Working Group on Sarcopenia in Older People. Age Ageing. 2010;39(4):412–23. https://doi.org/10.1093/ageing/afq034.
Boutin RD, Lenchik L. Value-added opportunistic CT: Insights into osteoporosis and sarcopenia. AJR Am J Roentgenol. 2020;215(3):582–94. https://doi.org/10.2214/AJR.20.22874.
Tan L, Ji G, Bao T, Fu H, Yang L, Yang M. Diagnosing sarcopenia and myosteatosis based on chest computed tomography images in healthy Chinese adults. Insights Imaging. 2021;12(1):163. https://doi.org/10.1186/s13244-021-01106-2.
Baggerman MR, van Dijk DPJ, Winkens B, et al. Edema in critically ill patients leads to overestimation of skeletal muscle mass measurements using computed tomography scans. Nutrition. 2021;89: 111238. https://doi.org/10.1016/j.nut.2021.111238.
Engelke K, Museyko O, Wang L, Laredo JD. Quantitative analysis of skeletal muscle by computed tomography imaging—State of the art. J Orthop Translat. 2018;15:91–103. https://doi.org/10.1016/j.jot.2018.10.004.
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Tokashiki, T., Igarashi, T., Shiraishi, M. et al. Evaluation of the association between osteoporotic vertebral compression fractures and psoas major/paraspinal muscle mass and ADC measured on MRI. Skeletal Radiol 53, 675–682 (2024). https://doi.org/10.1007/s00256-023-04461-x
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DOI: https://doi.org/10.1007/s00256-023-04461-x