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NONINVASIVE ASSESSMENT OF BONE QUALITY IN CLINICAL ROUTINE

About the Author

Didier Hans
Lausanne University Hospital
Center of Bone diseases, Bone and Joint Department


References

1. Seeman E. et al. Bone Quality - The Material and Structural. Basis of Bone Strength and Fragility. N Engl J Med 2006;354:2250-61).

2. Johnnell O et al. An estimate of the worldwide prevalence and disability associated with osteoporotic fractures. Osteoporos Int 2006;17:1726-33

3. Hans D, et al. Bone microarchitecture assessed by TBS predicts osteoporotic fractures independent of bone density: the Manitoba study. J Bone Miner Res. 2011 Nov;26(11):2762-9. doi: 10.1002/jbmr.499. PMID: 21887701

4. Judex S, et al. Combining high-resolution micro-computed tomography with material composition to define the quality of bone tissue. Curr Osteoporos Rep. 2003 Jun;1(1):11-9. Review. PMID: 16036060

5. Diez-Perez A et al. Microindentation for in vivo measurement of bone tissue mechanical properties in humans. J Bone Miner Res. 2010 Aug;25(8):1877-85. doi: 10.1002/jbmr.73. PMID: 20200991

6. Link TM. Osteoporosis imaging: state of the art and advanced imaging. Radiology. 2012 Apr;263(1):3-17. doi: 10.1148/radiol.12110462. Review. PMID: 22438439

7. Engelke K, et al. Advanced CT based in vivo methods for the assessment of bone density, structure, and strength. Curr Osteoporos Rep. 2013 Sep;11(3):246-55. doi: 10.1007/s11914-013-0147-2. Review. PMID: 23712690.

8. Engelke K et al. Clinical Use of Quantitative Computed Tomography (QCT) ofthe Hip in the Management of Osteoporosis inAdults: the 2015 ISCD Official Positions-Part I. J Clin Densitom. 2015 Jul-Sep;18(3):338-58. doi: 10.1016/j.jocd.2015.06.012. PMID: 26277851

9. Zysset P et al. Clinical Use of Quantitative Computed Tomography-Based Finite Element Analysis of the Hip and Spine in the Management of Osteoporosis in Adults: the 2015 ISCD Official Positions-Part II. J Clin Densitom. 2015 Jul-Sep;18(3):359-92. doi: 10.1016/jjocd.2015.06.011. PMID: 26277852

10. Engelke K, Lang T, Khosla S, Qin L, Zysset P, Leslie WD, Shepherd JA, Shousboe JT. Clinical Use of Quantitative Computed Tomography-Based Advanced Techniques in the Management of Osteoporosis in Adults: the 2015 ISCD Official Positions-Part III. J Clin Densitom. 2015 Jul-Sep;18(3):393-407. doi: 10.1016/j. jocd.2015.06.010. PMID: 26277853

11. Kulak CA et al. Bone histomorphometry: a concise review for endocrinologists and clinicians. Arq Bras Endocrinol Metabol. 2010 Mar;54(2):87-98. Review. PMID: 20485895

12. Broy SB et al. Fracture Risk Prediction by Non-BMD DXA Measures: the 2015 ISCD Official Positions Part 1: Hip Geometry. J Clin Densitom. 2015 Jul-Sep;18(3):287-308. doi: 10.1016/j.jocd.2015.06.005. PMID: 26277848

13. Shepherd JA et al. Executive Summary of the 2015 ISCD Position Development Conference on Advanced Measures From DXA and QCT: Fracture Prediction Beyond BMD. J Clin Densitom. 2015 Jul-Sep;18(3):274-86. doi: 10.1016/j.jocd.2015.06.013. PMID: 26277847

14. Boehm HF et al. Differentiation between post-menopausal women with and without hip fractures: enhanced evaluation of clinical DXA by topological analysis of the mineral distribution in the scan images. Osteoporos Int 2007; 18: 779-787.

15. Langton CM et al. Comparison of 3D finite element analysis derived stiffness and BMD to determine the failure load of the excised proximal femur. Med Eng Phys 2009; 31: 668-672.

16. Yang L et al. Prediction of incident hip fracture with the estimated femoral strength by finite element analysis of DXA Scans in the study of osteoporotic fractures. J Bone Miner Res. 2014 Dec;29(12):2594-600. doi: 10.1002/jbmr.2291. PMID: 24898426

17. Hans D et al. Correlations between trabecular bone score, measured using anteroposterior dual-energy X-ray absorptiometry acquisition, and 3-dimensional parameters of bone microarchitecture: an experimental study on human cadaver vertebrae. J Clin Densitom 2011;14:302-12.

18. Roux JP et al.The predictive value of trabecular bone score (TBS) on whole lumbar vertebrae mechanics: an ex vivo study. Osteoporos Int 2013;24:2455-60.

19. Muschitz C et al. TBS reflects trabecular microarchitecture in premenopausal women and men with idiopathic osteoporosis and low-traumatic fractures. Bone 2015;79:259-66.

20. Winzenrieth R et al. Three-dimensional (3D) microarchitecture correlations with 2D projection image gray-level variations assessed by trabecular bone score using high-resolution computed tomographic acquisitions: effects of resolution and noise. J Clin Densitom 2013;16:287-96.

21. Silva BC et al. Trabecular bone score: a noninvasive analytical method based upon the DXA image. J Bone Miner Res 2014;29:518-30.

22. Harvey NC et al. Trabecular bone score (TBS) as a new complementary approach for osteoporosis evaluation in clinical practice. Bone. 2015; May 16. [Epub ahead of print].

23. Silva BC et al. Fracture Risk Prediction by Non-BMD DXA Measures: the 2015 ISCD Official Positions Part 2: Trabecular Bone Score. J Clin Densitom. 2015 Jul-Sep; 18(3): 309-30. doi: 10.1016/j.jocd.2015.06.008.

24. McCloskey EV et al. Adjusting fracture probability by trabecular bone score. Calcif Tissue Int. 2015 Jun;96(6): 500-9. doi: 10.1007/s00223-015-9980-x. Epub 2015 Mar 22. PMID: 25796374

25. McCloskey EV et al. A meta-analysis of trabecular bone score in fracture risk prediction and its relationship to FRAX. J Bone Miner Res. 2015 Oct 24. doi: 10.1002/jbmr.2734. [Epub ahead of print]

26. Ulivieri FM et al. Utility of the trabecular bone score (TBS) in secondary osteoporosis. Endocrine. 2014.Nov;47(2):435-48. doi: 10.1007/s12020-014-0280-4. Epub 2014 May 23. Review. PMID: 24853880


Review

For citations:


Hans D. NONINVASIVE ASSESSMENT OF BONE QUALITY IN CLINICAL ROUTINE. Osteoporosis and Bone Diseases. 2016;19(1):8-11. (In Russ.)

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ISSN 2072-2680 (Print)
ISSN 2311-0716 (Online)