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Application and new progress of bone marrow fat quantification in osteoporosis
XUE Zhiying  XUE Na  YIN Xiaofeng  LIU Fang  ZHANG Tong 

Cite this article as: Xue ZY, Xue N, Yin XF, et al. Application and new progress of bone marrow fat quantification in osteoporosis. Chin J Magn Reson Imaging, 2020, 11(9): 826-828. DOI:10.12015/issn.1674-8034.2020.09.025.


[Abstract] Osteoporosis, a common disease in middle-aged and older population, has become one of the main reasons of disability and death resulted by the complications. The early diagnosis and treatment assessment of osteoporosis is challenging, which is crucial to delay the progression of the disease. Osteoporosis is closely related to the reduction of bone strength. Bone mineral density and bone quality affect bone strength together. In addition to the traditional imaging methods to measure bone density, magnetic resonance bone marrow fat quantitative analysis for the diagnosis of osteoporosis is more comprehensive and accurate. This paper reviews the application and progress of traditional bone mineral density assessment and bone marrow fat quantitative assessment in the diagnosis, treatment and monitoring of osteoporosis.
[Keywords] bone marrow fat quantification;osteoporosis;magnetic resonance imaging

XUE Zhiying Department of Radiology, the Fourth Affiliated Hospital of Harbin Medical University, Harbin 150001, China

XUE Na Department of Radiology, the Fourth Affiliated Hospital of Harbin Medical University, Harbin 150001, China

YIN Xiaofeng Department of Radiology, the Fourth Affiliated Hospital of Harbin Medical University, Harbin 150001, China

LIU Fang Department of Radiology, the Fourth Affiliated Hospital of Harbin Medical University, Harbin 150001, China

ZHANG Tong* Department of Radiology, the Fourth Affiliated Hospital of Harbin Medical University, Harbin 150001, China

*Correspondence to: Zhang T, Email: zt415@sina.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This article is supported by the Project of Harbin Science and Technology Foundation No. 2017RAXXJ041
Received  2019-12-02
Accepted  2020-07-17
DOI: 10.12015/issn.1674-8034.2020.09.025
Cite this article as: Xue ZY, Xue N, Yin XF, et al. Application and new progress of bone marrow fat quantification in osteoporosis. Chin J Magn Reson Imaging, 2020, 11(9): 826-828. DOI:10.12015/issn.1674-8034.2020.09.025.

[1]
马远征,王以朋,刘强,等.中国老年骨质疏松症诊疗指南(2018).中国骨质疏松杂志, 2018, 24(12): 1541-1567.
[2]
Hoppe S, Uhlmann M, Schwyn R, et al. Intraoperative mechanical measurement of bone quality with the DensiProbe. J Clin Densitom, 2015, 18(1): 109-116.
[3]
Pahr DH, Zysset PK. Finite element-based mechanical assessment of bone quality on the basis of in vivo images. Curr Osteoporos Rep, 2016, 14(6): 374-385.
[4]
Oei L, Koromani F, Rivadeneira F, et al. Quantitative imaging methods in osteoporosis. Quant Imaging Med Surg, 2016, 6(6): 680-698.
[5]
Jain RK, Vokes T. Dual-energy X-ray absorptiometry. J Clin Densitom, 2017, 20(3): 291-303.
[6]
Leslie WD, Johansson H, McCloskey EV, et al. Comparison of methods for improving fracture risk assessment in diabetes: the Manitoba BMD registry. J Bone Miner Res, 2018, 33(11): 1923-1930.
[7]
Bergink AP, Rivadeneira F, Bierma-Zeinstra SM, et al. Are bone mineral density and fractures related to the incidence and progression of radiographic osteoarthritis of the knee, hip, and hand in elderly men and women? The rotterdam study. Arthritis Rheumatol, 2019, 71(3): 361-369.
[8]
Mao SS, Li D, Luo Y, et al. Application of quantitative computed tomography for assessment of trabecular bone mineral density, microarchitecture and mechanical property. Clin Imaging, 2016, 40(2): 330-338.
[9]
Bredella MA, Daley SM, Kalra MK, et al. Marrow adipose tissue quantification of the lumbar spine by using dual-energy CT and single-voxel (1)H MR spectroscopy: a feasibility study. Radiology, 2015, 277(1): 230-235.
[10]
li x, schwartz av. MRI assessment of Bone Marrow Composition in Osteoporosis. Curr Osteoporos Rep, 2020, 18(1): 57-66.
[11]
Rendina-Ruedy E, Rosen CJ. Bone-fat interaction. Endocrinol Metab Clin North Am, 2017, 46(1): 41-50.
[12]
Cohen A, Shen W, Dempster DW, et al. Marrow adiposity assessed on transiliac crest biopsy samples correlates with noninvasive measurement of marrow adiposity by proton magnetic resonance spectroscopy (1)H-MRS at the spine but not the femur. Osteoporos Int, 2015, 26(10): 2471-2478.
[13]
Salas-Ramirez M, Tran-Gia J, Kesenheimer C, et al. Quantification of fat fraction in lumbar vertebrae: correlation with age and implications for bone marrow dosimetry in molecular radiotherapy. Phys Med Biol, 2018, 63(2): 25029.
[14]
Bredella MA, Gill CM, Gerweck AV, et al. Ectopic and serum lipid levels are positively associated with bone marrow fat in obesity. Radiology, 2013, 269(2): 534-541.
[15]
Ermetici F, Briganti S, Delnevo A, et al. Bone marrow fat contributes to insulin sensitivity and adiponectin secretion in premenopausal women. Endocrine, 2018, 59(2): 410-418.
[16]
Martin J, Arm J, Smart J, et al. Spinal multiparametric MRI and DEXA changes over time in men with prostate cancer treated with androgen deprivation therapy: a potential imaging biomarker of treatment toxicity. Eur Radiol, 2017, 27(3): 995-1003.
[17]
Wang YX, Griffith JF, Deng M, et al. Rapid increase in marrow fat content and decrease in marrow perfusion in lumbar vertebra following bilateral oophorectomy: an MR imaging-based prospective longitudinal study. Korean J Radiol, 2015, 16(1): 154-159.
[18]
Schwartz AV, Sigurdsson S, Hue TF, et al. Vertebral bone marrow fat associated with lower trabecular BMD and prevalent vertebral fracture in older adults. J Clin Endocrinol Metab, 2013, 98(6): 2294-2300.
[19]
Dieckmeyer M, Ruschke S, Rohrmeier A, et al. Vertebral bone marrow fat fraction changes in postmenopausal women with breast cancer receiving combined aromatase inhibitor and bisphosphonate therapy. BMC Musculoskelet Disord, 2019, 20(1): 515.
[20]
Nemeth A, Segrestin B, Leporq B, et al. Comparison of MRI-derived vs. traditional estimations of fatty acid composition from MR spectroscopy signals. NMR Biomed, 2018, 31(9): e3991.
[21]
Bredella MA, Fazeli PK, Daley SM, et al. Marrow fat composition in anorexia nervosa. Bone, 2014, 66: 199-204. DOI: 10.1016/j.bone.2014.06.014
[22]
Schmeel FC, Vomweg T, Traber F, et al. Proton density fat fraction mri of vertebral bone marrow: accuracy, repeatability, and reproducibility among readers, field strengths, and imaging platforms. J Magn Reson Imaging, 2019, 50(6): 1762-1772.
[23]
Li G, Xu Z, Gu H, et al. Comparison of chemical shift-encoded water-fat MRI and MR spectroscopy in quantification of marrow fat in postmenopausal females. J Magn Reson Imaging, 2017, 45(1): 66-73.
[24]
Hui SK, Arentsen L, Sueblinvong T, et al. A phase I feasibility study of multi-modality imaging assessing rapid expansion of marrow fat and decreased bone mineral density in cancer patients. Bone, 2015, 73: 90-97. DOI: 10.1016/j.bone.2014.12.014
[25]
Lee SH, Yoo HJ, Yu SM, et al. Fat Quantification in the vertebral body: comparison of modified dixon technique with single-voxel magnetic resonance spectroscopy. Korean J Radiol, 2019, 20(1): 126-133.
[26]
Schmeel FC, Luetkens JA, Enkirch SJ, et al. Proton density fat fraction (PDFF) MR imaging for differentiation of acute benign and neoplastic compression fractures of the spine. Eur Radiol, 2018, 28(12): 5001-5009.
[27]
Aoki T, Yamaguchi S, Kinoshita S, et al. Quantification of bone marrow fat content using iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL): reproducibility, site variation and correlation with age and menopause. Br J Radiol, 2016, 89(1065): 20150538.
[28]
Zhao Y, Huang M, Ding J, et al. Prediction of abnormal bone density and osteoporosis from lumbar spine MR using modified dixon quant in 257 subjects with quantitative computed tomography as reference. J Magn Reson Imaging, 2019, 49(2): 390-399.
[29]
Yang Y, Luo X, Yan F, et al. Effect of zoledronic acid on vertebral marrow adiposity in postmenopausal osteoporosis assessed by MR spectroscopy. Skeletal Radiol, 2015, 44(10): 1499-1505.
[30]
Lee SH, Lee YH, Hahn S, et al. Fat fraction estimation of morphologically normal lumbar vertebrae using the two-point mDixon turbo spin-echo MRI with flexible echo times and multipeak spectral model of fat: comparison between cancer and non-cancer patients. Magn Reson Imaging, 2016, 34(8): 1114-1120.

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