nach oben

Current Osteoporosis Reports

Erschienen in:

18.01.2020 | Imaging (F. Wehrli and T. Lang, Section Editors)

MRI Assessment of Bone Marrow Composition in Osteoporosis

verfasst von: Xiaojuan Li, Ann V. Schwartz

Erschienen in: Current Osteoporosis Reports | Ausgabe 1/2020

Einloggen, um Zugang zu erhalten

Abstract

Purpose of Review

To provide an overview on recent technical development for quantifying marrow composition using magnetic resonance imaging (MRI) and spectroscopy (MRS) techniques, as well as a summary on recent findings of interrelationship between marrow adipose tissue (MAT) and skeletal health in the context of osteoporosis.

Recent Findings

There have been significant technical advances in reliable quantification of marrow composition using MR techniques. Cross-sectional studies have demonstrated a negative correlation between MAT and bone, with trabecular bone associating more strongly with MAT than cortical bone. However, longitudinal studies of MAT and bone are limited. MAT contents and composition have been associated with prevalent vertebral fracture. The evidence between MAT and clinical fracture is more limited, and, to date, no studies have reported on the relationship between MAT and incident fracture.

Summary

Increasing evidence suggests a dynamic role of marrow fat in skeletal health. Reliable non-invasive quantification of marrow composition will facilitate developing novel treatment strategies for osteoporosis.

Schwartz AV. Marrow fat and bone: review of clinical findings. Front Endocrinol 2015;6:40. doi: https://doi.org/10.3389/fendo.2015.00040. PubMed PMID: 25870585; PubMed Central PMCID: PMC4378315.

Singhal V, Bredella MA. Marrow adipose tissue imaging in humans. Bone. 2019;118:69–76. Epub 2018/01/15. doi: https://doi.org/10.1016/j.bone.2018.01.009. PubMed PMID: 29331301; PubMed Central PMCID: PMCPMC6039291.PubMed

Rendina-Ruedy E, Rosen CJ. Bone-fat interaction. Endocrinol Metab Clin N Am 2017;46(1):41–50. doi: https://doi.org/10.1016/j.ecl.2016.09.004. PubMed PMID: 28131135; PubMed Central PMCID: PMC5300693.PubMed

Rosen CJ, Ackert-Bicknell C, Rodriguez JP, Pino AM. Marrow fat and the bone microenvironment: developmental, functional, and pathological implications. Crit Rev Eukaryot Gene Expr. 2009;19(2):109–24. Epub 2009/04/28. doi: 32dcc8826e8b77f6,4bae1a4b22a0281c [pii]. PubMed PMID: 19392647; PubMed Central PMCID: PMC2674609.

Moerman EJ, Teng K, Lipschitz DA, Lecka-Czernik B. Aging activates adipogenic and suppresses osteogenic programs in mesenchymal marrow stroma/stem cells: the role of PPAR-gamma2 transcription factor and TGF-beta/BMP signaling pathways. Aging Cell 2004;3(6):379–389. Epub 2004/12/01. PubMed PMID: 15569355; PubMed Central PMCID: PMC1850101.PubMed

Sottile V, Seuwen K, Kneissel M. Enhanced marrow adipogenesis and bone resorption in estrogen-deprived rats treated with the PPARgamma agonist BRL49653 (rosiglitazone). Calcif Tissue Int. 2004;75(4):329–37. Epub 2004/11/19. https://doi.org/10.1007/s00223-004-0224-8.CrossRefPubMed

Maurin AC, Chavassieux PM, Frappart L, Delmas PD, Serre CM, Meunier PJ. Influence of mature adipocytes on osteoblast proliferation in human primary cocultures. Bone. 2000;26(5):485–9.PubMed

Maurin AC, Chavassieux PM, Vericel E, Meunier PJ. Role of polyunsaturated fatty acids in the inhibitory effect of human adipocytes on osteoblastic proliferation. Bone. 2002;31(1):260–6.PubMed

Weisberg SP, McCann D, Desai M, Rosenbaum M, Leibel RL, Ferrante AW Jr. Obesity is associated with macrophage accumulation in adipose tissue. J Clin Invest. 2003;112(12):1796–808.PubMedPubMedCentral

10.

Hanrahan CJ, Shah LM. MRI of spinal bone marrow: part 2, T1-weighted imaging-based differential diagnosis. AJR Am J Roentgenol. 2011;197(6):1309–21. Epub 2011/11/24. https://doi.org/10.2214/AJR.11.7420.CrossRefPubMed

11.

Shah LM, Hanrahan CJ. MRI of spinal bone marrow: part I, techniques and normal age-related appearances. AJR Am J Roentgenol. 2011;197(6):1298–308. Epub 2011/11/24. https://doi.org/10.2214/AJR.11.7005.CrossRefPubMed

12.

Chan BY, Gill KG, Rebsamen SL, Nguyen JC. MR imaging of pediatric bone marrow. Radiographics. 2016;36(6):1911–30. Epub 2016/10/12. https://doi.org/10.1148/rg.2016160056.CrossRefPubMed

13.

Shen W, Scherzer R, Gantz M, Chen J, Punyanitya M, Lewis CE, et al. Relationship between MRI-measured bone marrow adipose tissue and hip and spine bone mineral density in African-American and Caucasian participants: the CARDIA study. J Clin Endocrinol Metab. 2012;97(4):1337–46. Epub 2012/02/10. doi: https://doi.org/10.1210/jc.2011-2605. PubMed PMID: 22319043; PubMed Central PMCID: PMCPMC3319176.

14.

van Vucht N, Santiago R, Lottmann B, Pressney I, Harder D, Sheikh A, et al. The Dixon technique for MRI of the bone marrow. Skeletal Radiol. 2019. Epub 2019/07/17. doi: https://doi.org/10.1007/s00256-019-03271-4, The Dixon technique for MRI of the bone marrow.PubMed

15.

Karampinos DC, Ruschke S, Dieckmeyer M, Diefenbach M, Franz D, Gersing AS, et al. Quantitative MRI and spectroscopy of bone marrow. J Magn Reson Imaging. 2018;47(2):332–53. Epub 2017/06/02. doi: https://doi.org/10.1002/jmri.25769. PubMed PMID: 28570033; PubMed Central PMCID: PMCPMC5811907.PubMedPubMedCentral

16.

Dixon WT. Simple proton spectroscopic imaging. Radiology. 1984;153(1):189–94. Epub 1984/10/01. https://doi.org/10.1148/radiology.153.1.6089263.CrossRefPubMed

17.

Reeder SB, Wen Z, Yu H, Pineda AR, Gold GE, Markl M, et al. Multicoil Dixon chemical species separation with an iterative least-squares estimation method. Magn Reson Med. 2004;51(1):35–45. Epub 2004/01/06. https://doi.org/10.1002/mrm.10675.CrossRefPubMed

18.

Hernando D, Liang ZP, Kellman P. Chemical shift-based water/fat separation: a comparison of signal models. Magn Reson Med. 2010;64(3):811–22. Epub 2010/07/02. doi: https://doi.org/10.1002/mrm.22455. PubMed PMID: 20593375; PubMed Central PMCID: PMCPMC2992842.PubMedPubMedCentral

19.

Colgan TJ, Hernando D, Sharma SD, Reeder SB. The effects of concomitant gradients on chemical shift encoded MRI. Magn Reson Med. 2017;78(2):730–8. Epub 2016/09/22. doi: https://doi.org/10.1002/mrm.26461. PubMed PMID: 27650137; PubMed Central PMCID: PMCPMC5360547.PubMedPubMedCentral

20.

Wang X, Hernando D, Reeder SB. Sensitivity of chemical shift-encoded fat quantification to calibration of fat MR spectrum. Magn Reson Med. 2016;75(2):845–51. Epub 2015/04/08. doi: https://doi.org/10.1002/mrm.25681. PubMed PMID: 25845713; PubMed Central PMCID: PMCPMC4592785.PubMedPubMedCentral

21.

Ruschke S, Eggers H, Kooijman H, Diefenbach MN, Baum T, Haase A, et al. Correction of phase errors in quantitative water-fat imaging using a monopolar time-interleaved multi-echo gradient echo sequence. Magn Reson Med. 2017;78(3):984–96. Epub 2016/11/01. https://doi.org/10.1002/mrm.26485.CrossRefPubMed

22.

Yu H, Shimakawa A, McKenzie CA, Brodsky E, Brittain JH, Reeder SB. Multiecho water-fat separation and simultaneous R2* estimation with multifrequency fat spectrum modeling. Magn Reson Med. 2008;60(5):1122–34. Epub 2008/10/29. doi: https://doi.org/10.1002/mrm.21737. PubMed PMID: 18956464; PubMed Central PMCID: PMCPMC3070175.PubMedPubMedCentral

23.

Bydder M, Yokoo T, Hamilton G, Middleton MS, Chavez AD, Schwimmer JB, et al. Relaxation effects in the quantification of fat using gradient echo imaging. Magn Reson Imaging. 2008;26(3):347–59. Epub 2007/12/21. doi: https://doi.org/10.1016/j.mri.2007.08.012. PubMed PMID: 18093781; PubMed Central PMCID: PMCPMC2386876.PubMedPubMedCentral

24.

Karampinos DC, Yu H, Shimakawa A, Link TM, Majumdar S. T(1)-corrected fat quantification using chemical shift-based water/fat separation: application to skeletal muscle. Magn Reson Med. 2011;66(5):1312–26. Epub 2011/04/01. doi: https://doi.org/10.1002/mrm.22925. PubMed PMID: 21452279; PubMed Central PMCID: PMCPMC3150641.PubMedPubMedCentral

25.

Liu CY, McKenzie CA, Yu H, Brittain JH, Reeder SB. Fat quantification with IDEAL gradient echo imaging: correction of bias from T(1) and noise. Magn Reson Med. 2007;58(2):354–64. Epub 2007/07/27. https://doi.org/10.1002/mrm.21301.CrossRefPubMed

26.•

Karampinos DC, Melkus G, Baum T, Bauer JS, Rummeny EJ, Krug R. Bone marrow fat quantification in the presence of trabecular bone: initial comparison between water-fat imaging and single-voxel MRS. Magn Reson Med. 2014;71(3):1158–65. Epub 2013/05/10. doi: https://doi.org/10.1002/mrm.24775. PubMed PMID: 23657998; PubMed Central PMCID: PMCPMC3759615. This study presented a thorough evaluation of performance of water-fat imaging in quantifying bone marrow fat fraction, in the presence of trabecular bone and using single voxel MRS as references.

27.

Arentsen L, Yagi M, Takahashi Y, Bolan PJ, White M, Yee D, et al. Validation of marrow fat assessment using noninvasive imaging with histologic examination of human bone samples. Bone. 2015;72:118–22. Epub 2014/12/03. doi: https://doi.org/10.1016/j.bone.2014.11.002. PubMed PMID: 25460181; PubMed Central PMCID: PMCPMC4282942.PubMed

28.

Ruschke S, Pokorney A, Baum T, Eggers H, Miller JH, Hu HH, et al. Measurement of vertebral bone marrow proton density fat fraction in children using quantitative water-fat MRI. MAGMA. 2017;30(5):449–60. Epub 2017/04/07. https://doi.org/10.1007/s10334-017-0617-0.CrossRefPubMed

29.

Gee CS, Nguyen JT, Marquez CJ, Heunis J, Lai A, Wyatt C, et al. Validation of bone marrow fat quantification in the presence of trabecular bone using MRI. J Magn Reson Imaging. 2015;42(2):539–44. Epub 2014/11/27. doi: https://doi.org/10.1002/jmri.24795. PubMed PMID: 25425074; PubMed Central PMCID: PMCPMC4442769.PubMed

30.

Baum T, Yap SP, Dieckmeyer M, Ruschke S, Eggers H, Kooijman H, et al. Assessment of whole spine vertebral bone marrow fat using chemical shift-encoding based water-fat MRI. J Magn Reson Imaging. 2015;42(4):1018–23. Epub 2015/02/03. https://doi.org/10.1002/jmri.24854.CrossRefPubMed

31.

Li G, Xu Z, Yuan W, Chang S, Chen Y, Calimente H, et al. Short- and midterm reproducibility of marrow fat measurements using mDixon imaging in healthy postmenopausal women. Skelet Radiol. 2016;45(10):1385–90. Epub 2016/08/10. https://doi.org/10.1007/s00256-016-2448-x.CrossRef

32.

Zhang Y, Zhou Z, Wang C, Cheng X, Wang L, Duanmu Y, et al. Reliability of measuring the fat content of the lumbar vertebral marrow and paraspinal muscles using MRI mDIXON-Quant sequence. Diagn Interv Radiol. 2018;24(5):302–7. Epub 2018/09/05. doi: https://doi.org/10.5152/dir.2018.17323. PubMed PMID: 30179158; PubMed Central PMCID: PMCPMC6135056.PubMedPubMedCentral

33.•

Schmeel FC, Vomweg T, Traber F, Gerhards A, Enkirch SJ, Faron A, 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. Epub 2019/04/14. doi: https://doi.org/10.1002/jmri.26748. This study reported the accuracy (using measures from MR spectroscopy as references) and precision of MRI-determined vertebral bone marrow proton density fat fraction (PDFF) among different readers and across different field strengths and imaging manufacturers. PubMed

34.

Hamilton G, Middleton MS, Bydder M, Yokoo T, Schwimmer JB, Kono Y, et al. Effect of PRESS and STEAM sequences on magnetic resonance spectroscopic liver fat quantification. J Magn Reson Imaging. 2009;30(1):145–52. Epub 2009/06/27. doi: https://doi.org/10.1002/jmri.21809. PubMed PMID: 19557733; PubMed Central PMCID: PMCPMC2982807.PubMed

35.

Guillen MD, Ruiz A. H-1 nuclear magnetic resonance as a fast tool for determining the composition of acyl chains in acylglycerol mixtures. Eur J Lipid Sci Tech. 2003;105(9):502–7. doi: https://doi.org/10.1002/ejlt.200300799. PubMed PMID: WOS:000185589500005.

36.

Ren J, Dimitrov I, Sherry AD, Malloy CR. Composition of adipose tissue and marrow fat in humans by 1H NMR at 7 Tesla. J Lipid Res. 2008;49(9):2055–62. Epub 2008/05/30 doi: D800010-JLR200 [pii].

37.

1194/jlr.D800010-JLR200. PubMed PMID: 18509197; PubMed Central PMCID: PMC2515528.

38.

Li X, Shet K, Xu K, Rodriguez JP, Pino AM, Kurhanewicz J, et al. Unsaturation level decreased in bone marrow fat of postmenopausal women with low bone density using high resolution magic angle spinning (HRMAS) (1)H NMR spectroscopy. Bone. 2017;105:87–92. Epub 2017/08/22. doi: https://doi.org/10.1016/j.bone.2017.08.014. PubMed PMID: 28823880; PubMed Central PMCID: PMCPMC5650928.PubMedPubMedCentral

39.

De Bisschop E, Luypaert R, Louis O, Osteaux M. Fat fraction of lumbar bone marrow using in vivo proton nuclear magnetic resonance spectroscopy. Bone. 1993;14(2):133–6. Epub 1993/03/01. https://doi.org/10.1016/8756-3282(93)90239-7.CrossRefPubMed

40.

Liney G, Bernard C, Manton D, Turnbull L, Langton C. Age, gender, and skeletal variation in bone marrow composition: a preliminary study at 3.0 Tesla. J Magn Reson Imaging. 2007;26(3):787–93.PubMed

41.

Kugel H, Jung C, Schulte O, Heindel W. Age- and sex-specific differences in the 1H-spectrum of vertebral bone marrow. J Magn Reson Imaging. 2001;13(2):263–8. Epub 2001/02/13. https://doi.org/10.1002/1522-2586(200102)13:2<263::AID-JMRI1038>3.0.CO;2-M[pii].PubMed

42.

Bredella MA, Fazeli PK, Daley SM, Miller KK, Rosen CJ, Klibanski A, et al. Marrow fat composition in anorexia nervosa. Bone. 2014;66:199–204. Epub 2014/06/24. doi: https://doi.org/10.1016/j.bone.2014.06.014. PubMed PMID: 24953711; PubMed Central PMCID: PMCPmc4125432.PubMedPubMedCentral

43.

Di Pietro G, Capuani S, Manenti G, Vinicola V, Fusco A, Baldi J, et al. Bone marrow lipid profiles from peripheral skeleton as potential biomarkers for osteoporosis: a 1H-MR spectroscopy study. Acad Radiol. 2016;23(3):273–83. Epub 2016/01/18. https://doi.org/10.1016/j.acra.2015.11.009.CrossRefPubMed

44.

Li X, Kuo D, Schafer AL, Porzig A, Link TM, Black D, Schwartz AV Quantification of vertebral bone marrow fat content using 3 Tesla MR spectroscopy: reproducibility, vertebral variation, and applications in osteoporosis. J Magn Reson Imaging 2011;33(4):974–979. Epub 2011/03/31. doi: https://doi.org/10.1002/jmri.22489. PubMed PMID: 21448966; PubMed Central PMCID: PMC3072841.PubMed

45.

Patsch JM, Li X, Baum T, Yap SP, Karampinos DC, Schwartz AV, Link TM Bone marrow fat composition as a novel imaging biomarker in postmenopausal women with prevalent fragility fractures. J Bone Miner Res 2013;28(8):1721–1728. doi: https://doi.org/10.1002/jbmr.1950. PubMed PMID: 23558967; PubMed Central PMCID: PMC3720702.PubMed

46.

Griffith J, Yeung D, Antonio G, Lee F, Hong A, Wong S, et al. Vertebral bone mineral density, marrow perfusion, and fat content in healthy men and men with osteoporosis: dynamic contrast-enhanced MR imaging and MR spectroscopy. Radiology. 2005;236(3):945–51.PubMed

47.

Yeung D, Griffith J, Antonio G, Lee F, Woo J, Leung P. Osteoporosis is associated with increased marrow fat content and decreased marrow fat unsaturation: a proton MR spectroscopy study. J Magn Reson Imaging. 2005;22(2):279–85.PubMed

48.•

Xu K, Sigurdsson S, Gudnason V, Hue T, Schwartz A, Li X. Reliable quantification of marrow fat content and unsaturation level using in vivo MR spectroscopy. Magn Reson Med. 2018;79(3):1722–9. Epub 2017/07/18. doi: https://doi.org/10.1002/mrm.26828. PubMed PMID: 28714169; PubMed Central PMCID: PMCPMC5930928: This study developed a novel, fully automated technique for reliable quantification of bone marrow fat content and composition (unsaturation level) using in vivo MR spectroscopy (MRS), which can be potentially used in larger scale clinical trials. PubMedPubMedCentral

49.

Dieckmeyer M, Ruschke S, Cordes C, Yap SP, Kooijman H, Hauner H, et al. The need for T(2) correction on MRS-based vertebral bone marrow fat quantification: implications for bone marrow fat fraction age dependence. NMR Biomed. 2015;28(4):432–9. Epub 2015/02/17. https://doi.org/10.1002/nbm.3267.CrossRefPubMed

50.

Schwartz AV, Sigurdsson S, Hue TF, Lang TF, Harris TB, Rosen CJ, Vittinghoff E, Siggeirsdottir K, Sigurdsson G, Oskarsdottir D, Shet K, Palermo L, Gudnason V, Li X 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. Epub 2013/04/05. doi: https://doi.org/10.1210/jc.2012-3949. PubMed PMID: 23553860; PubMed Central PMCID: PMC3667265.

51.

Singhal V, Miller KK, Torriani M, Bredella MA. Short- and long-term reproducibility of marrow adipose tissue quantification by 1H-MR spectroscopy. Skeletal Radiol. 2016;45(2):221–5. Epub 2015/11/14. doi: https://doi.org/10.1007/s00256-015-2292-4. PubMed PMID: 26563561; PubMed Central PMCID: PMCPMC4864977.PubMedPubMedCentral

52.

Griffith JF, Yeung DK, Chow SK, Leung JC, Leung PC. Reproducibility of MR perfusion and (1)H spectroscopy of bone marrow. J Magn Reson Imaging. 2009;29(6):1438–42. Epub 2009/05/28. https://doi.org/10.1002/jmri.21765.CrossRefPubMed

53.•

Peterson P, Mansson S. Simultaneous quantification of fat content and fatty acid composition using MR imaging. Magn Reson Med. 2013;69(3):688-97. Epub 2012/04/26. doi: https://doi.org/10.1002/mrm.24297. PubMed PMID: 22532403: This study developed a novel image reconstruction technique that allows quantifying both fat content and fatty acid composition using fat-water imaging. The results were validated in phantoms and feasibility of in vivo imaging was demonstrated. PubMed

54.

Leporq B, Lambert SA, Ronot M, Vilgrain V, Van Beers BE. Quantification of the triglyceride fatty acid composition with 3.0 T MRI. NMR Biomed. 2014;27(10):1211–21. Epub 2014/08/16. https://doi.org/10.1002/nbm.3175.CrossRefPubMed

55.

Martel D, Leporq B, Bruno M, Regatte RR, Honig S, Chang G. Chemical shift-encoded MRI for assessment of bone marrow adipose tissue fat composition: pilot study in premenopausal versus postmenopausal women. Magn Reson Imaging. 2018;53:148–55. Epub 2018/07/15. https://doi.org/10.1016/j.mri.2018.07.001.CrossRefPubMed

56.

Martel D, Leporq B, Saxena A, Belmont HM, Turyan G, Honig S, et al. 3T chemical shift-encoded MRI: Detection of altered proximal femur marrow adipose tissue composition in glucocorticoid users and validation with magnetic resonance spectroscopy. J Magn Reson Imaging. 2019;50(2):490–6. Epub 2018/12/15. doi: https://doi.org/10.1002/jmri.26586. PubMed PMID: 30548522; PubMed Central PMCID: PMCPMC6675589.

57.

Tufts LS, Shet K, Liang F, Majumdar S, Li X. Quantification of bone marrow water and lipid composition in anterior cruciate ligament-injured and osteoarthritic knees using three-dimensional magnetic resonance spectroscopic imaging. Magn Reson Imaging 2016;34(5):632–637. doi: https://doi.org/10.1016/j.mri.2015.12.034. PubMed PMID: 26723848; PubMed Central PMCID: PMC4860057.PubMed

58.

Biffar A, Dietrich O, Sourbron S, Duerr HR, Reiser MF, Baur-Melnyk A. Diffusion and perfusion imaging of bone marrow. Eur J Radiol. 2010;76(3):323–8. Epub 2010/04/13. https://doi.org/10.1016/j.ejrad.2010.03.011.CrossRefPubMed

59.

Dietrich O, Geith T, Reiser MF, Baur-Melnyk A. Diffusion imaging of the vertebral bone marrow. NMR Biomed. 2017;30(3). Epub 2015/06/27. doi: https://doi.org/10.1002/nbm.3333.

60.

Shih TT, Liu HC, Chang CJ, Wei SY, Shen LC, Yang PC. Correlation of MR lumbar spine bone marrow perfusion with bone mineral density in female subjects. Radiology. 2004;233(1):121–8. Epub 2004/08/20. https://doi.org/10.1148/radiol.2331031509.CrossRefPubMed

61.

Griffith JF, Yeung DK, Antonio GE, Wong SY, Kwok TC, Woo J, et al. Vertebral marrow fat content and diffusion and perfusion indexes in women with varying bone density: MR evaluation. Radiology. 2006;241(3):831–8. Epub 2006/10/21. https://doi.org/10.1148/radiol.2413051858.CrossRefPubMed

62.

Griffith JF, Yeung DK, Tsang PH, Choi KC, Kwok TC, Ahuja AT, et al. Compromised bone marrow perfusion in osteoporosis. Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research. 2008;23(7):1068–75. Epub 2008/02/28. https://doi.org/10.1359/jbmr.080233.CrossRef

63.

Wang YX, Griffith JF, Kwok AW, Leung JC, Yeung DK, Ahuja AT, et al. Reduced bone perfusion in proximal femur of subjects with decreased bone mineral density preferentially affects the femoral neck. Bone. 2009;45(4):711–5. Epub 2009/06/27. https://doi.org/10.1016/j.bone.2009.06.016.CrossRefPubMed

64.•

Griffith JF, Yeung DK, Leung JC, Kwok TC, Leung PC. Prediction of bone loss in elderly female subjects by MR perfusion imaging and spectroscopy. Eur Radiol. 2011;21(6):1160–9. Epub 2011/01/13. doi: https://doi.org/10.1007/s00330-010-2054-6. This study demonstrated the potential predict capability of baseline marrow composition to longitudinal bone loss. The study reported elderly female subjects with reduced perfusion indices at baseline had inreased femoral neck bone loss (measured by DXA) at 4 years. Selected perfusion indices and marrow fat content have a moderate to high sensitivity in discrimatinating between fast and slow bone losers. PubMed

65.

Biffar A, Schmidt GP, Sourbron S, D'Anastasi M, Dietrich O, Notohamiprodjo M, et al. Quantitative analysis of vertebral bone marrow perfusion using dynamic contrast-enhanced MRI: initial results in osteoporotic patients with acute vertebral fracture. J Magn Reson Imaging. 2011;33(3):676–83. Epub 2011/05/13. https://doi.org/10.1002/jmri.22497.CrossRefPubMed

66.

Lasbleiz J, Le Ster C, Guillin R, Saint-Jalmes H, Gambarota G. Measurements of diffusion and perfusion in vertebral bone marrow using intravoxel incoherent motion (IVIM) with multishot, readout-segmented (RESOLVE) echo-planar imaging. J Magn Reson Imaging. 2019;49(3):768–76. Epub 2018/09/09. https://doi.org/10.1002/jmri.26270.CrossRefPubMed

67.

Hillengass J, Stieltjes B, Bauerle T, McClanahan F, Heiss C, Hielscher T, et al. Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and diffusion-weighted imaging of bone marrow in healthy individuals. Acta Radiol. 2011;52(3):324–30. Epub 2011/04/19. https://doi.org/10.1258/ar.2010.100366.CrossRefPubMed

68.

Yeung DK, Wong SY, Griffith JF, Lau EM. Bone marrow diffusion in osteoporosis: evaluation with quantitative MR diffusion imaging. J Magn Reson Imaging. 2004;19(2):222–8. Epub 2004/01/28. https://doi.org/10.1002/jmri.10453.CrossRefPubMed

69.

Herrmann J, Krstin N, Schoennagel BP, Sornsakrin M, Derlin T, Busch JD, et al. Age-related distribution of vertebral bone-marrow diffusivity. Eur J Radiol. 2012;81(12):4046–9. Epub 2012/09/29. https://doi.org/10.1016/j.ejrad.2012.03.033.CrossRefPubMed

70.

Hatipoglu HG, Selvi A, Ciliz D, Yuksel E. Quantitative and diffusion MR imaging as a new method to assess osteoporosis. AJNR Am J Neuroradiol. 2007;28(10):1934–7. Epub 2007/10/02. https://doi.org/10.3174/ajnr.A0704.CrossRefPubMedPubMedCentral

71.

Tang GY, Lv ZW, Tang RB, Liu Y, Peng YF, Li W, et al. Evaluation of MR spectroscopy and diffusion-weighted MRI in detecting bone marrow changes in postmenopausal women with osteoporosis. Clin Radiol. 2010;65(5):377–81. Epub 2010/04/13. https://doi.org/10.1016/j.crad.2009.12.011.CrossRefPubMed

72.

Ueda Y, Miyati T, Ohno N, Motono Y, Hara M, Shibamoto Y, et al. Apparent diffusion coefficient and fractional anisotropy in the vertebral bone marrow. J Magn Reson Imaging. 2010;31(3):632–5. Epub 2010/02/27. https://doi.org/10.1002/jmri.22073.CrossRefPubMed

73.

Meunier P, Aaron J, Edouard C, Vignon G. Osteoporosis and the replacement of cell populations of the marrow by adipose tissue. A quantitative study of 84 iliac bone biopsies. Clin Orthop Relat Res. 1971;80:147–54.PubMed

74.

Wehrli FW, Hopkins JA, Hwang SN, Song HK, Snyder PJ, Haddad JG. Cross-sectional study of osteopenia with quantitative MR imaging and bone densitometry. Radiology. 2000;217(2):527–38. Epub 2000/11/04. https://doi.org/10.1148/radiology.217.2.r00nv20527.CrossRefPubMed

75.

Shen W, Chen J, Punyanitya M, Shapses S, Heshka S, Heymsfield SB. MRI-measured bone marrow adipose tissue is inversely related to DXA-measured bone mineral in Caucasian women. Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA. 2007;18(5):641–7.

76.

Baum T, Yap SP, Karampinos DC, Nardo L, Kuo D, Burghardt AJ, Masharani UB, Schwartz AV, Li X, Link TM Does vertebral bone marrow fat content correlate with abdominal adipose tissue, lumbar spine bone mineral density, and blood biomarkers in women with type 2 diabetes mellitus? J Magn Reson Imaging 2012;35(1):117–124. doi: https://doi.org/10.1002/jmri.22757. PubMed Central PMCID: PMC3245661.PubMed

77.

Kim TY, Schwartz AV, Li X, Xu K, Black DM, Petrenko DM, et al. Bone marrow fat changes after gastric bypass surgery are associated with loss of bone mass. Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research. 2017;32(11):2239–47. Epub 2017/08/10. doi: https://doi.org/10.1002/jbmr.3212. PubMed PMID: 28791737; PubMed Central PMCID: PMCPmc5685913.PubMed

78.

Ivaska KK, Huovinen V, Soinio M, Hannukainen JC, Saunavaara V, Salminen P, et al. Changes in bone metabolism after bariatric surgery by gastric bypass or sleeve gastrectomy. Bone. 2017;95:47–54. Epub 2016/11/08. https://doi.org/10.1016/j.bone.2016.11.001.CrossRefPubMed

79.

Sfeir JG, Drake MT, Atkinson EJ, Achenbach SJ, Camp JJ, Tweed AJ, et al. Evaluation of cross-sectional and longitudinal changes in volumetric bone mineral density in postmenopausal women using single- versus dual-energy quantitative computed tomography. Bone. 2018;112:145–52. Epub 2018/04/29. doi: https://doi.org/10.1016/j.bone.2018.04.023. PubMed PMID: 29704696; PubMed Central PMCID: PMCPmc5970096.PubMedPubMedCentral

80.

Glüer CC, Reiser UJ, Davis CA, Rutt BK, Genant HK. Vertebral mineral determination by quantitative computed tomography (QCT): accuracy of single and dual energy measurements. J Comput Assist Tomogr. 1988;12:242–58.PubMed

81.

Bredella MA, Daley SM, Kalra MK, Brown JK, Miller KK, Torriani M. 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):230–5. Epub 2015/05/20. doi: https://doi.org/10.1148/radiol.2015142876. PubMed PMID: 25988401; PubMed Central PMCID: PMCPmc4613879.PubMed

82.

Singhal V, Torre Flores LP, Stanford FC, Toth AT, Carmine B, Misra M, et al. Differential associations between appendicular and axial marrow adipose tissue with bone microarchitecture in adolescents and young adults with obesity. Bone. 2018;116:203–6. Epub 2018/08/15. doi: https://doi.org/10.1016/j.bone.2018.08.009. PubMed PMID: 30107255; PubMed Central PMCID: PMCPmc6158042.PubMedPubMedCentral

83.•

Woods GN, Ewing SK, Sigurdsson S, Kado DM, Eiriksdottir G, Gudnason V, et al. Greater bone marrow adiposity predicts bone loss in older women. J Bone Miner Res. 2019. Epub 2019/10/17. doi: https://doi.org/10.1002/jbmr.3895. This longitudinal study demonstrated that the higher levels of marrow fat, as measured by MRS, predict greater loss of trabecular bone at the spine and femoral neck, and greater loss of spine compressive strength, as measured by QCT, in older women. PubMed

84.

Justesen J, Stenderup K, Ebbesen EN, Mosekilde L, Steiniche T, Kassem M. Adipocyte tissue volume in bone marrow is increased with aging and in patients with osteoporosis. Biogerontology. 2001;2(3):165–71.PubMed

85.

Ferrau F, Giovinazzo S, Messina E, Tessitore A, Vinci S, Mazziotti G, et al. High bone marrow fat in patients with Cushing’s syndrome and vertebral fractures. Endocrine. 2019. Epub 2019/08/04. doi: https://doi.org/10.1007/s12020-019-02034-4.PubMed

86.

Zebaze R, Osima M, Bui M, Lukic M, Wang X, Ghasem-Zadeh A, et al. Adding marrow adiposity and cortical porosity to femoral neck areal bone mineral density improves the discrimination of women with nonvertebral fractures from controls. Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research. 2019;34(8):1451–60. Epub 2019/03/19. https://doi.org/10.1002/jbmr.3721.CrossRef

87.

Scheller EL, Doucette CR, Learman BS, Cawthorn WP, Khandaker S, Schell B, Wu B, Ding SY, Bredella MA, Fazeli PK, Khoury B, Jepsen KJ, Pilch PF, Klibanski A, Rosen CJ, MacDougald O Region-specific variation in the properties of skeletal adipocytes reveals regulated and constitutive marrow adipose tissues. Nat Commun 2015;6:7808. doi: https://doi.org/10.1038/ncomms8808. PubMed PMID: 26245716; PubMed Central PMCID: PMC4530473.

88.

Huovinen V, Viljakainen H, Hakkarainen A, Saukkonen T, Toiviainen-Salo S, Lundbom N, et al. Bone marrow fat unsaturation in young adults is not affected by present or childhood obesity, but increases with age: a pilot study. Metab Clin Exp. 2015;64(11):1574–81. Epub 2015/09/22. https://doi.org/10.1016/j.metabol.2015.08.014.CrossRefPubMed

Titel: MRI Assessment of Bone Marrow Composition in Osteoporosis
verfasst von: Xiaojuan Li
Ann V. Schwartz
Publikationsdatum: 18.01.2020
Verlag: Springer US
Erschienen in: Current Osteoporosis Reports / Ausgabe 1/2020
Print ISSN: 1544-1873
Elektronische ISSN: 1544-2241
DOI: https://doi.org/10.1007/s11914-020-00562-x

Update Orthopädie und Unfallchirurgie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.

Newsletter bestellen

Live-Webinar "Urologie und Sexualmedizin in der Praxis"

Springer Medizin

MRI Assessment of Bone Marrow Composition in Osteoporosis

Abstract

Purpose of Review

Recent Findings

Summary

Arthropedia

Neu im Fachgebiet Orthopädie und Unfallchirurgie

Mehr Frauen im OP – weniger postoperative Komplikationen

„Übersichtlicher Wegweiser“: Lauterbachs umstrittener Klinik-Atlas ist online

Klinikreform soll zehntausende Menschenleben retten

TEP mit Roboterhilfe führt nicht zu größerer Zufriedenheit

Update Orthopädie und Unfallchirurgie

Live-Webinar "Urologie und Sexualmedizin in der Praxis"

Springer Medizin

Abstract

Purpose of Review

Recent Findings

Summary

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 1/2020

General and Specific Considerations as to why Osteoporosis-Related Care Is Often Suboptimal

The Interrelationship Between Diabetes, IL-17 and Bone Loss

Complicated Muscle-Bone Interactions in Children with Cerebral Palsy

Spaceflight-Induced Bone Tissue Changes that Affect Bone Quality and Increase Fracture Risk

In Vivo Assessment of Cortical Bone Fragility

Osteocyte-Mediated Translation of Mechanical Stimuli to Cellular Signaling and Its Role in Bone and Non-bone-Related Clinical Complications

Arthropedia

Neu im Fachgebiet Orthopädie und Unfallchirurgie

Mehr Frauen im OP – weniger postoperative Komplikationen

„Übersichtlicher Wegweiser“: Lauterbachs umstrittener Klinik-Atlas ist online

Klinikreform soll zehntausende Menschenleben retten

TEP mit Roboterhilfe führt nicht zu größerer Zufriedenheit

Update Orthopädie und Unfallchirurgie