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Guidelines for the diagnosis of osteoporosis: T-scores vs fractures

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Abstract

The development of bone mineral densitimometry methodologies, especially central dual energy X-ray absorptiometry (DXA) methods have allowed this quantitative tool to be used to diagnose osteoporosis before the first fragility fracture has occurred. The World Health Organization osteoporosis working group set the stage for the BMD cut-off criteria development. The wide application of DXA has brought the treatment of osteoporosis to the primary care level, a very necessary step if this increasingly prevalent disease is to have a decline in its incidence. The most difficult osteoporosis cases, for which there are many and their associated difficult DXA results and interpretation will always require specialists’ involvement. In particular, the embracement of the WHO absolute fracture risk validated project will take DXA to a much greater level of value in making management decisions. In particular, the WHO absolute risk data will allow physicians, health–economic policy makers, and payors of medical services to come closer together to decide which patients are at a level of unacceptable fracture risk that justifies treatment intervention. The implementation of this validated project will also remove the unacceptable subjective computer printouts on DXA reports that often lead to the over-treatment of low risk patients and at times the under-treatment of high risk patients. The evolution of the clinical interpretation of bone densitometry has been a work in progress. Challenges in the clinical measurement of bone strength remain and will also evolve. The field of osteoporosis has grown with the use of DXA and will continue to embrace this technology as other technologies to measure fracture risk become applied in clinical practice.

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References

  1. Kanis JA, Borgstrom F, De Laet C, Johansson H, Johnell O, Jonsson B, et al. Assessment of fracture risk. Osteoporos Int 2005;16:581–9.

    Article  PubMed  Google Scholar 

  2. Ross PD, Davis JW, Epstein RS, Wasnich RD. Pre-existing fractures and bone mass predict vertebral fracture incidence in women. Ann Intern Med 1991;114:919–23.

    PubMed  CAS  Google Scholar 

  3. Assessment of fracture risk and its application to screening for postmenopausal osteoporosis. Report of a WHO Study Group. World Health Organ Tech Rep Ser. 1994;843:1–129 (Geneva).

    Google Scholar 

  4. Melton JL III, Chrischilles EA, Cooper C, Lane AW, Riggs BL. How many women have osteoporosis? JBMR Anniversary Classic. JBMR, Volume 7, Number 9, 1992. J Bone Miner Res 2005 May;20(5):886–92.

  5. Melton LJ III. How many women have osteoporosis, now? J Bone Miner Res 2004.

  6. Miller PD. Controversial issues in bone densitometry. In: Bilezikian JP, editor. Principles of bone biology. San Diego, CA: Academic; 2002. p. 1587–97.

    Google Scholar 

  7. Miller PD. Controversies in bone mineral density diagnostic classification. Calcif Tissue Int 2000;66:317–9.

    Article  PubMed  CAS  Google Scholar 

  8. Faulkner KG, von Stetten E, Miller P. Discordance in patient classification using T-scores. J Clin Densitom 1999;2:343–50.

    Article  PubMed  CAS  Google Scholar 

  9. Ahmed AIH, Blake GM, Rymer JM, Fogleman I. Screening for osteopoenia and osteoporosis: do the accepted normal ranges lead to overdiagnosis? Osteoporos Int 1997;7:432–8.

    Article  PubMed  CAS  Google Scholar 

  10. Looker AC, Wahner HW, Dunn WL, Calvo MS, Harris TB, Heyse SP. Updated data on proximal femur bone mineral levels of US adults. Osteoporos Int 1998;8:468–89.

    Article  PubMed  CAS  Google Scholar 

  11. Faulkner KG, Roberts L, McClung M. Discrepancies in normative data between Lunar and Hologic DXA systems. Osteoporos Int 1996;6:432–6.

    Article  PubMed  CAS  Google Scholar 

  12. Binkley N, Kiebzak GM, Lewiecki EM, Krueger D, Gangnon KE, Miller PD, et al. Recalculation of the NHANES Database SD improves T-score agreement and reduces osteoporosis prevalence. J Bone Miner Res 2005;20:195–201.

    Article  PubMed  Google Scholar 

  13. Simmons A, Simpson DE, O’Doherty MJ, Barrington S, Coakley AJ. The effects of standardization and reference values on patient classification for spine and femur dual-energy X-ray absorptiometry. Osteoporos Int 1997;7:200–6.

    Article  PubMed  CAS  Google Scholar 

  14. McMahon K, Kalnins S, Freund J, Pocock N. Discordance in lumbar spine T scores and non-standardization of standard deviations. J Clin Densitom 2003;6(1):1–6.

    Article  PubMed  Google Scholar 

  15. Miller PD, Bonnick SL, Rosen CJ. Consensus of an international panel on the clinical utility of bone mass measurements in the detection of low bone mass in the adult population. Calcif Tissue Int 1996;58:207–14.

    PubMed  CAS  Google Scholar 

  16. Miller PD, Bonnick SL. Clinical application of bone densitometry. In: Primer on the metabolic bone diseases and disorders of mineral metabolism. 4th ed. Philadelphia, PA: Lippincott Williams & Wilkins; 1999. p. 152–9.

  17. Bone Mass Measurement Act. http://www.nof.org/advocacy/tegalerts/osteo_measure.

  18. United States Prevention Services Task Force. http://www.ahrg.gov/clinic/uspgtfix.htm.

  19. US Surgeon General’s Report on America’s Bone Health. http://www.surgeongeneral.gov.

  20. National Osteoporosis Foundation. Physicians guide to the prevention and treatment of osteoporosis. Washington, DC: National Osteoporosis Foundation (NOF.ORG); 1999.

    Google Scholar 

  21. Leib E, Lewiecki M, Binkley N, Hamdy RC. Official Positions of the International Society for Clinical Densitometry. J Clin Densitom 2004;7:1–6.

    Article  PubMed  Google Scholar 

  22. Binkley N, Bilezikian JP, Kendler DL, Leib ES, Lewiecki EM, Petak SM. Official positions of the international society for clinical densitometry and executive summary of the 2005 position development. J Clin Densitom 2006;9(1):4–14.

    Google Scholar 

  23. Marshall D, Johnell O, Wedel H. Meta-analysis of how well measurements of bone mineral density predict the occurrence of osteoporotic fractures. Br Med J 1996;312:1254–9.

    CAS  Google Scholar 

  24. Siris E, Miller P, Barrett-Connor E, Faulkner K, Wehren L, Abbott T, et al. Identification and fracture outcomes of undiagnosed low bone mineral density in postmenopausal women: results from the National Osteoporosis Risk Assessment (NORA). JAMA 2001;286:2815–22.

    Article  PubMed  CAS  Google Scholar 

  25. Siris ES, Chen Y-T, Abbott TA, Barrett-Connor E, Miller PD, Wehren L, et al. Bone mineral density thresholds for pharmacological intervention to prevent fractures. Arch Intern Med 2004;164:1108–12.

    Article  PubMed  Google Scholar 

  26. De Laet CEDH, Van Hout BA, Burger H, Weel AEAM, Hofman R, Pols HAP. Hip fracture prediction in the elderly men and women: validation in the Rotterdam study. J Bone Miner Res 1998;13:1587–93.

    Article  PubMed  Google Scholar 

  27. Schuit SC, van der Klift M, Weel AE, de Laet CE, Burger H, Seeman E, et al. Fracture incidence and association with bone mineral density in elderly men and women: the Rotterdam study. Bone 2004;34:195–202.

    Article  PubMed  CAS  Google Scholar 

  28. Wainwright SA, Marshall LM, Ensrud KE, Cauley JA, Black DM, Hillier TA, et al. Hip fracture in women without osteoporosis. J Clin Endocrinol Metab 2005 May;90(5):2787–93.

    Article  PubMed  CAS  Google Scholar 

  29. The Writing Group for the ISCD Position Development Conference. 2004 executive summary. J Clin Densitom 2004;7:7–12.

    Article  Google Scholar 

  30. The Writing Group for the ISCD Position Development Conference. Diagnosis of osteoporosis in men, premenopausal women and children. J Clin Densitom 2004;7:17–26.

    Article  Google Scholar 

  31. Melton LJ III, Atkinson EJ, O’Conner MK, O’Fallon WM. Riggs BL. Bone densitometry and fracture risk in men. J Bone Miner Res 1998;13:1915–23.

    Article  PubMed  Google Scholar 

  32. Binkley NC, Schmeer P, Wasnich RD, Lenchik L. What are the criteria by which a densitometric diagnosis of osteoporosis can be made in males and non-Caucasians? J Clin Densitom 2002;5 Suppl:S19–27.

    Article  PubMed  Google Scholar 

  33. Leslie WD, Adler RA, Fuleihan GEH, Hodsman A, Kendler DL, Miller PD, et al. Application of the 1994 WHO classification to populations other than postmenopausal Caucasian women: the 2005 ISCD official positions. J Clin Densitom 2006;9(1):22–30.

    Google Scholar 

  34. Barrett-Connor E, Siris ES, Wehren LE, Miller PD, Abbott TA, Berger ML, et al. Osteoporosis and fracture risk in women of different ethnic groups. J Bone Miner Res 2005;20:185–94.

    Article  PubMed  Google Scholar 

  35. Bamshad MJ, Olson SE. Does race exist? Sci Am 2003 (December).

  36. Leslie WD. Race/ethnicity and fracture risk assessment: an issue that’s more than skin deep (review). J Clin Densitom 2006;9(1).

  37. Johnell O, Kanis JA. Epidemiology of osteoporotic fractures. Osteoporos Int 2005 Mar;16 Suppl 2:S3–7.

    Article  PubMed  Google Scholar 

  38. Melton LJ III, Lane AW, Cooper C, Eastell R, O’Fallon WM, Riggs BL. Prevalence and incidence of vertebral deformities. Osteoporos Int 1993;3(3):113–9.

    Article  PubMed  Google Scholar 

  39. O’Neill TW, Felsenberg D, Varlow J, Cooper C, Kanis JA, Silman AJ. The prevalence of vertebral deformity in European men and women: the European vertebral osteoporosis study. J Bone Miner Res 1996;11(7):1010–8.

    PubMed  CAS  Google Scholar 

  40. Spector TD, McCloskey EV, Doyle DV, Kanis JA. Prevalence of vertebral fracture in women and the relationship with bone density and symptoms: the Chingford study. J Bone Miner Res 1993;8(7):817–22.

    Article  PubMed  CAS  Google Scholar 

  41. Ross PD, Fujiwara S, Huang C, Davis JW, Epstein RS, Wasnich RD, et al. Vertebral fracture prevalence in women in Hiroshima compared to Caucasians or Japanese in the US. Int J Epidemiol 1995;24(6):1171–7.

    Article  PubMed  CAS  Google Scholar 

  42. Cooper C, O’Neill T, Silman A. The epidemiology of vertebral fractures. European vertebral osteoporosis study group. Bone 1993;14 Suppl 1:S89–97.

    Article  PubMed  Google Scholar 

  43. Miller PD, Siris ES, Barrett-Connor E, Faulkner KG, Wehren LE, Abbott TA, et al. Prediction of fracture risk in postmenopausal white women with peripheral bone densitometry: evidence from the National Osteoporosis Risk Assessment. J Bone Miner Res 2002;17:2222–30.

    Article  PubMed  Google Scholar 

  44. Black DM, Arden NK, Palermo L, Pearson J, Cummings SR. Prevalent vertebral deformities predict hip fractures and new vertebral deformities but not wrist fractures. Study of osteoporotic fractures research group. J Bone Miner Res 1999;14(5):821–8.

    Article  PubMed  CAS  Google Scholar 

  45. Melton LJ III, Atkinson EJ, Cooper C, O’Fallon WM, Riggs BL. Vertebral fractures predict subsequent fractures. Osteoporos Int 1999;10(3):214–21.

    Article  PubMed  Google Scholar 

  46. Lindsay R, Silverman SL, Cooper C, Hanley DA, Barton I, Broy SB, et al. Risk of new vertebral fracture in the year following a fracture. JAMA 2001;285(3):320–3.

    Article  PubMed  CAS  Google Scholar 

  47. Ross PD, Genant HK, Davis JW, Miller PD, Wasnich RD. Predicting vertebral fracture incidence from prevalent fractures and bone density among non-black, osteoporotic women. Osteoporos Int 1993;3(3):120–6.

    Article  PubMed  CAS  Google Scholar 

  48. Kotowicz MA, Melton LJ III, Cooper C, Atkinson EJ, O’Fallon WM, Riggs BL. Risk of hip fracture in women with vertebral fracture. J Bone Miner Res 1994;9(5):599–605.

    PubMed  CAS  Google Scholar 

  49. Schousboe JT, Fink HA, Taylor BC, Stone KL, Hillier TA, Nevitt MC, et al. Association between self-reported prior wrist fractures and risk of subsequent hip and radiographic vertebral fractures in older women: a prospective study. J Bone Miner Res 2005;20(1):100–6.

    Article  PubMed  Google Scholar 

  50. Papaioannou A, Joseph L, Ioannidis G, Berger C, Anastassiades T, Brown JP, et al. Risk factors associated with incident clinical vertebral and non-vertebral fractures in postmenopausal women: the Canadian multicenter osteoporosis study (CaMos). Osteoporos Int 2005;16(5):568–78.

    Article  PubMed  Google Scholar 

  51. Klotzbuecher CM, Ross PD, Landsman PB, Abbott TA III, Berger M. Patients with prior fractures have an increased risk of future fractures: a summary of the literature and statistical synthesis. J Bone Miner Res 2000;15(4):721–39.

    Article  PubMed  CAS  Google Scholar 

  52. Barrett-Conner E, Siris E, Miller PD, Sajjan S, Chen YT. Association of wrist fracture with subsequent hip, spine, rib, and wrist or forearm fractures in postmenopausal women: results from National Osteoporosis Risk Assessment (NORA). J Bone Miner Res 2005.

  53. Kanis JA, Johnell O, De Laet C, Johansson H, Oden A, Delmas P, et al. A meta-analysis of previous fracture and subsequent fracture risk. Bone 2004;375–82.

  54. Blake GM, Fogelman I. Peripheral or central densitometry: does it matter which technique we use. J Clin Densitom 2001;4:83–96.

    Article  PubMed  CAS  Google Scholar 

  55. Miller PD, Njeh C, Jankowski LG, Lenchik L. What are the standards by which bone mass measurement at peripheral skeletal sites should be used in the diagnosis of osteoporosis? J Clin Densitom 2002;5(S1):S39–45.

    Article  PubMed  Google Scholar 

  56. Greenspan SL, Cheng S, Miller PD, Orwoll ES for the QUS-2 PMA Trials Group. Clinical performance of a highly portable, scanning calcaneal ultrasonometer. Osteoporosis Int 2001;12:391–8.

    Article  PubMed  CAS  Google Scholar 

  57. Kanis JA, Gluer C-C, for the Committee of Scientific Advisors, International Osteoporosis Foundation. An update on the diagnosis and assessment of osteoporosis with densitometry. Osteoporos Int 2000;11:92–202.

    Article  Google Scholar 

  58. Gluer C-C for the International Quantitative Ultrasound Consensus Group. Quantitative ultrasound techniques for the assessment of osteoporosis: expert agreement on current status. J Bone Miner Res 1997;12:1280–8.

    Article  PubMed  CAS  Google Scholar 

  59. Baran DT, Faulkner KG, Genant HK, Miller PD, Pacifici R. Diagnosis and management of osteoporosis: guidelines for the utilization of bone densitometry. Calcif Tissue Int 1997;61:433–40.

    Article  PubMed  CAS  Google Scholar 

  60. Miller P, Siris E, Barrett-Connor E, Faulkner K, Abbott T, Berger M, et al. Prediction of fracture risk in postmenopausal white women with peripheral bone densitometry: evidence from the National Osteoporosis Risk Assessment (NORA) program. J Bone Miner Res 2002;17:2222–30.

    Article  PubMed  Google Scholar 

  61. Hans D, Dargent Molina P, Schott AM, Sebert JL, Cormier C, Kotzki PO, et al. Ultrasonographic heel measurements predict hip fracture in elderly women: The EPIDOS prospective study. Lancet 1996;348:511–4.

    Article  PubMed  CAS  Google Scholar 

  62. Hans D, Hartl F, Krieg MA. Device-specific weighted T-score for two quantitative ultrasounds: operational propositions for the management of osteoporosis for 65 years and older women in Switzerland. Osteoporos Int 2003;14:251–8.

    PubMed  CAS  Google Scholar 

  63. Blake GM, Knapp KM, Spector TD, Fogelman I. Predicting the risk of fracture at any site in the skeleton: are all bone mineral density measurement sites equally effective? Calcif Tissue Int 2006;78:9–17.

    Article  PubMed  CAS  Google Scholar 

  64. Blake GM, Knapp KM, Fogelman I. Absolute fracture risk varies with bone densitometry technique used. J Clin Densitom 2002;5(2):109–16.

    Article  PubMed  Google Scholar 

  65. Hui SL, Slemenda CW, Johnston CC Jr. Age and bone mass as predictors of fracture in a prospective study, J Clin Invest 1988;81:1804–9.

    Article  PubMed  CAS  Google Scholar 

  66. Kanis JA, Johnell O, Oden A, Oglesby AK, De Laet CE. Ten year probabilities of osteoporotic fractures according to BMD and diagnostic thresholds. J Bone Miner Res 2001;16:S194.

    Google Scholar 

  67. Dargent-Molina P, Favier F, Grandjean H, Baudoin C, Schott AM, Hausherr E, et al. Fall-related factors and risk of hip fracture: the EPIDOS prospective study. Lancet 1996;348:145–9.

    Article  PubMed  CAS  Google Scholar 

  68. Riggs BL, Melton JL III, Robb RA, Camp JJ, Atkinson EL, Oberg AL, et al. Population-based analysis of the relationship of whole bone strength indices and fall-related loads to age- and sex-specific patterns of hip and wrist fractures. J Bone Miner Res 2006;21(2):315–23.

    Article  PubMed  Google Scholar 

  69. Bouxsein ML. Bone quality: where do we go from here? Osteoporos Int 2003;14(Suppl 5):118–27 (September).

    Article  PubMed  Google Scholar 

  70. Diab T, Condon KW, Burr DB, Vashishth D. Age-related change in the damage morphology of human cortical bone and its role in bone fragility. Bone 2006 Mar;38(3):427–31.

    Article  PubMed  Google Scholar 

  71. Russo CR, Lauretani F, Seeman E, Bartali B, Band inelli S, Di Iorio A, et al. Structural adaptations to bone loss in aging men and women. Bone 2006;38(1):112–8.

    Article  PubMed  Google Scholar 

  72. Siris ES, Brenneman S, Barrett-Conner E, Miller PD, Sajjan S, Berger ML, et al. The effect of age and bone mineral density on the absolute, excess and relative risk of fracture in postmenopausal women age 50–99: results from the National Osteoporosis Risk Assessment. Osteoporosis International 2005.

  73. Siris ES, Brenneman SK, Miller PD, Barrett-Connor E, Chen YT, Sherwood LM, et al. Predictive value of low BMD for 1-year fracture outcomes is similar for postmenopausal women ages 50–64 and 65 and older: results from the National Osteoporosis Risk Assessment (NORA). J Bone Miner Res 2004;19(8):1215–20.

    Article  PubMed  Google Scholar 

  74. Cummings SR, Nevitt MC, Browner WS, Stone K, Fox KM, Ensrud KE et al. Risk factors for hip fracture in white women. Study of osteoporotic fractures research group. N Engl J Med 1995;332:767–73.

    Article  PubMed  CAS  Google Scholar 

  75. Haentjens P, Autier P, Collins J, Velkeniers B, Vanderschueren D, Boonen S. Colles fracture, spine fracture, and subsequent risk of hip fracture in men and women: a meta-analysis. J Bone Jt Surg 2003;85A:1936–43.

    Google Scholar 

  76. Kanis J. World Health Organization 10 year validated absolute fracture risk probabilities. Toronto, Canada: International Osteoporosis Foundation; 2006 (abstract).

  77. Black DM, Steinbuch M, Palmero L, Dargent-Molina P, Lindsay R, Hoseyni MS, et al. An assessment tool for predicting fracture risk in postmenopausal women. Osteoporos Int 2001;12(7):519–28.

    Article  PubMed  CAS  Google Scholar 

  78. Miller PD, Barlas S, Brenneman SK, Abbott TA, Chen Y-T, Barrett-Connor E, et al. An approach to identifying osteopenic women at increased short-term risk of fracture. Arch Intern Med 2004;164:1113–20.

    Article  PubMed  Google Scholar 

  79. Nevitt MC, Cummings SR, Stone KL, Palermo L, Black DM, Bauer DC, et al. Risk factors for a first-incident radiographic vertebral fracture in women > or = 65 years of age: the study of osteoporotic fractures. J Bone Miner Res 2005;20(1):131–40.

    Article  PubMed  Google Scholar 

  80. Papaioannou A, Joseph L, Ioannidis G, Berger C, Anastassiades T, Brown JP, et al. Risk factors associated with incident clinical vertebral and nonvertebral fractures in postmenopausal women: the Canadian multicentre osteoporosis study (CaMos). Osteoporos Int. 2005;16(5):568–78.

    Article  PubMed  Google Scholar 

  81. Gallagher JC, Genant HK, Crans GG, Vargas SJ, Krege JH. Teriparatide reduces the fracture risk associated with increasing number and severity of osteoporotic fractures. J Clin Endocrinol Metab 2005;90(3):1583–7.

    Article  PubMed  CAS  Google Scholar 

  82. Garnero P, Delmas P. Contribution of bone mineral density and bone turnover markers to the estimation of risk of osteoporotic fracture in postmenopausal women. J Musculoskelet Neuronal Interact 2004 Mar;4(1):50–63 (review).

    PubMed  CAS  Google Scholar 

  83. Faulkner KG, Wacker WK, Barden HS, Simonelli C, Burke PK, Ragi S, et al. Femur strength index predicts hip fracture independent of bone density and hip axis length. Osteoporos Int 2005;31:1–7 (December).

    Google Scholar 

  84. Mayhew PM, Thomas CD, Clement JG, Loveridge N, Beck TJ, Bonfield W, et al. Relation between age, femoral neck cortical stability, and hip fracture risk. Lancet 2005;366(9480):129–35 (July 9–15).

    Article  PubMed  Google Scholar 

  85. Uusi-Rasi K, Semanick LM, Zanchetta JR, Bogado CE, Eriksen EF, Sato M, et al. Effects of teriparatide [rhPTH (1-34)] treatment on structural geometry of the proximal femur in elderly osteoporotic women. Bone 2005;36(6):948–58.

    Article  PubMed  CAS  Google Scholar 

  86. Khoo BC, Beck TJ, Qiao QH, Parakh P, Semanick L, Prince RL, et al. In vivo short-term precision of hip structure analysis variables in comparison with bone mineral density using paired dual-energy X-ray absorptiometry scans from multi-center clinical trials. Bone 2005;37(1):112–21 (July).

    Article  PubMed  Google Scholar 

  87. Greenspan SL, von Stetten E, Emond SK, Jones L, Parker RA. Instant vertebral assessment: a noninvasive dual X-ray absorptiometry technique to avoid misclassification and clinical mismanagement of osteoporosis. J Clin Densitom 2001;4(4):373–80.

    Article  PubMed  CAS  Google Scholar 

  88. Genant HK, Li J, Wu CY, Shepherd JA. Vertebral fractures in osteoporosis: a new method for clinical assessment. J Clin Densitom 2000;3(3):281–90.

    Article  PubMed  CAS  Google Scholar 

  89. Vokes T, Bachman D, Baim S, Binkley N, Broy S, Ferrar L, et al. Vertebral fracture assessment: the 2005 ISCD official positions. J Clin Densitom 2006;9(1):37–46.

    Article  PubMed  Google Scholar 

  90. Siminoski K, Warshawski RS, Jen H, Lee K. The accuracy of historical height loss for the detection of vertebral fractures in postmenopausal women. Osteoporos Int 2006;17:290–6.

    Article  PubMed  CAS  Google Scholar 

  91. Seeman E, Crans GG, Diez-Perez A, Pinette KV, Delma P. Anti-vertebral fracture efficacy of raloxifene: a meta-analysis. Osteoporos Int 2006;17(2):313–6.

    Article  PubMed  Google Scholar 

  92. Delmas P, Genant HK, Crans GG, Stock JL, Wong M, Siris E, et al. Severity of prevalent vertebral fractures and the risk of subsequent vertebral and nonvertebral fractures: results from the MORE trial. Bone 2003;33(4):522–32 (October).

    Article  PubMed  CAS  Google Scholar 

  93. Lenchik L, Rogers LF, Delmas P, Genant HK. Diagnosis of osteoporotic vertebral fractures: importance of recognition and description by radiologists. Am J Roentgenol 2004;183(4):949–58 (review, October).

    Google Scholar 

  94. Duboeuf F, Bauer DC, Chapurlat RD, Dinten JM, Delmas P. Assessment of vertebral fracture using densitometric morphometry. J Clin Densitom 2005;8(3):362–8 (review, Fall).

    Article  PubMed  CAS  Google Scholar 

  95. Kahn AA, Bachrach L, Brown JP, Hanley DA, Josse RG, Kendler DL, et al. Standards and guidelines for performing central dual-energy x-ray absorptiometry in premenopausal women, men, and children. J Clin Densitom 2004;7(1):51–64 (review, Spring).

    Article  Google Scholar 

  96. Miller PD. Pitfalls in bone mineral density measurements. Curr Osteoporos Rep 2004;2:59–64.

    Article  PubMed  Google Scholar 

  97. Miller PD. Review: bone mineral density-clinical use and application. Endocrinol Metab Clin North Am 2003;32(1):159–79.

    Article  PubMed  Google Scholar 

  98. Miller PD, Zapalowski C, Kulak CAM, Bilezikian JP. Bone densitometry: The best way to detect osteoporosis and to monitor therapy. J Clin Endocrin Metab 1999;84:1867–71.

    Article  CAS  Google Scholar 

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Miller, P.D. Guidelines for the diagnosis of osteoporosis: T-scores vs fractures. Rev Endocr Metab Disord 7, 75–89 (2006). https://doi.org/10.1007/s11154-006-9006-0

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