The role of DXA bone density scans in the diagnosis and treatment of osteoporosis
Open accessAbstract
Dual energy x ray absorptiometry (DXA) scans to measure bone mineral density (BMD) at the spine and hip have an important role in the evaluation of individuals at risk of osteoporosis, and in helping clinicians advise patients about the appropriate use of antifracture treatment. Compared with alternative bone densitometry techniques, hip and spine DXA examinations have a number of advantages that include a consensus that BMD results can be interpreted using the World Health Organization T-score definition of osteoporosis, a proven ability to predict fracture risk, proven effectiveness at targeting antifracture therapies, and the ability to monitor response to treatment. This review discusses the evidence for these and other clinical aspects of DXA scanning, including its role in the new WHO algorithm for treating patients on the basis of their individual fracture risk.
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Diagnosis of osteoporosis primarily relies on assessment of bone mass through bone densitometry (DEXA).
“Currently, the diagnosis of osteoporosis primarily relies on the assessment of bone mass through bone densitometry, also known as dual-energy X-ray absorptiometry (DEXA) [46].”
From Osteoporosis: Molecular Pathology, Diagnostics, and Therapeutics (2023) · cites this paper as [46]
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BackgroundAdvances in bone imaging for osteoporosis
Adams, J. E. (2012) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2012.217 · Cited by 164 · see citing works
Seimon, R. V., Wild-Taylor, A. L., Keating, S. E., McClintock, S., Harper, C., Gibson, A. A., Johnson, N. A., Fernando, H. A., Markovic, T. P., Center, J. R., et al. (2019) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.13733 · Cited by 152 · see citing works
Relationship of body mass index with main limb fragility fractures in postmenopausal women
Gnudi, S., Sitta, E., & Lisi, L. (2009) · Journal of Bone and Mineral Metabolism · doi:10.1007/s00774-009-0056-8 · Cited by 161 · see citing works
Cartwright, B., Robinson, J., Seed, P. T., Fogelman, I., & RYMER, J. M. (2016) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2015-4063 · Cited by 158 · see citing works
Self-citationZibellini, J., Seimon, R. V., Lee, C. M., Gibson, A. A., Hsu, M. S., Shapses, S. A., Nguyen, T. V., & Sainsbury, A. (2015) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.2564 · Cited by 157 · see citing works
“[59, 60] The spine, like the hip, is clinically significant because of its correlation with fracture risk.[60-62] Both of these sites, because of their high trabecular bone content and thus high bone surface area, are highly susceptible to factors that influence bone”
BackgroundDual energy X-ray absorptiometry: Pitfalls in measurement and interpretation of bone mineral density
Garg, M., & Kharb, S. (2013) · Indian Journal of Endocrinology and Metabolism · doi:10.4103/2230-8210.109659 · Cited by 156 · see citing works
“The gold‐standard technique for estimation of BMD is the DXA technique because of their reproducibility, large normative data, non‐invasive nature, little time requirement for procedure, and minimal radiation exposure.[12] Presently, in India DXA machines, manufactured by Hologic and Lunar, are available to assess BMD.”
MethodTempel, Z. J., Gandhoke, G. S., Okonkwo, D. O., & Kanter, A. S. (2015) · European Spine Journal · doi:10.1007/s00586-015-3844-y · Cited by 151 · see citing works
“5) at the femoral neck site have a globally increased fracture risk following minor trauma [27–30].”
BackgroundMethodAdvances in osteoporosis imaging
Bauer, J. S., & Link, T. M. (2009) · European Journal of Radiology · doi:10.1016/j.ejrad.2008.04.064 · Cited by 150 · see citing works
“BMD was the first parameter to quanify bone properties non-invasively, correlates with bone strength nd predicts fracture risk of a patient to some extent [12].”
Dual-energy X-ray Absorptiometry
Jain, R. K., & Vokes, T. (2017) · Journal of Clinical Densitometry · doi:10.1016/j.jocd.2017.06.014 · Cited by 148 · see citing works
Osteoporosis: Molecular Pathology, Diagnostics, and Therapeutics
Adejuyigbe, B., Kallini, J., Chiou, D., & Kallini, J. R. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241914583 · Cited by 148 · see citing works
“Currently, the diagnosis of osteoporosis primarily relies on the assessment of bone mass through bone densitometry, also known as dual-energy X-ray absorptiometry (DEXA) [46].”
Diagnostic tests: Bone mineral density: Testing for osteoporosis
Sheu, A., & Diamond, T. (2016) · Australian Prescriber · doi:10.18773/austprescr.2016.020 · Cited by 138 · see citing works
Kühn, J., Hernando, D., Meffert, P. J., Reeder, S. B., Hosten, N., Laqua, R., Steveling, A., Ender, S. A., Schröder, H., & Pillich, D. T. (2013) · European Radiology · doi:10.1007/s00330-013-2950-7 · Cited by 131 · see citing works
“According to the World Health Organization (WHO) the t score is the best predictor to determine osteoporosis [5].”
Management of Premenstrual Syndrome
(2016) · BJOG An International Journal of Obstetrics & Gynaecology · doi:10.1111/1471-0528.14260 · Cited by 147 · see citing works
“DEXA is accepted as the gold standard investigation for assessing BMD.(107) DEXA scans every year are considered useful as less frequent scans would delay diagnosis of significant bone loss and subsequent review of GnRH analogue treatment, and more frequent scans may not perceive small changes.”
BackgroundGarner, H. W., Paturzo, M. M., Gaudier, G., Pickhardt, P. J., & Wessell, D. E. (2016) · American Journal of Roentgenology · doi:10.2214/ajr.16.16744 · Cited by 112 · see citing works
Bone health in phenylketonuria: a systematic review and meta-analysis
Demirdas, S., Coakley, K. E., Bisschop, P. H. L. T., Hollak, C. E. M., Bosch, A. M., & Singh, R. H. (2015) · Orphanet Journal of Rare Diseases · doi:10.1186/s13023-015-0232-y · Cited by 106 · see citing works
“Studies of bone in patients with PKU primarily report DXA estimates of BMD; however, other techniques such as pQCT, QUS and several X-ray methods used to measure BMD are available and are compared elsewhere [30,31].”
BackgroundSadat‐Ali, M., Al-Habdan, I. M., Al-Turki, H. A., & Azam, M. Q. (2012) · Annals of Saudi Medicine · doi:10.5144/0256-4947.2012.637 · Cited by 97 · see citing works
Discovery of potential biomarkers for osteoporosis using LC-MS/MS metabolomic methods
Wang, J., Yan, D., Zhao, A., Hou, X., Zheng, X., Chen, P., Bao, Y.-J., Jia, W., Hu, C., Zhang, Z., et al. (2019) · Osteoporosis International · doi:10.1007/s00198-019-04892-0 · Cited by 91 · see citing works
Blumenthal, J. S., Jain, S., Mulvihill, E., Sun, S., Hanashiro, M., Ellorin, E. E., Graber, S., Haubrich, R., & Morris, S. (2018) · JAIDS Journal of Acquired Immune Deficiency Syndromes · doi:10.1097/qai.0000000000001888 · Cited by 90 · see citing works
“24 – 26 The provision and use of an HIV risk score is hoped to yield similar effects.”
BackgroundBoschitsch, E., Durchschlag, E., & Dimai, H. P. (2017) · Climacteric · doi:10.1080/13697137.2017.1282452 · Cited by 83 · see citing works
Wu, C., Chang, Y., Chen, C., Lewiecki, E. M., Wüster, C. C., Reid, I. R., Tsai, K., Matsumoto, T., MERCADO-ASIS, L. B., Chan, D., et al. (2019) · Journal of Clinical Densitometry · doi:10.1016/j.jocd.2019.03.004 · Cited by 83 · see citing works
Li, J., Zhang, Z., Xie, T., Song, Z.-T., Song, Y., & Zeng, J. (2022) · European Radiology · doi:10.1007/s00330-022-09157-9 · Cited by 77 · see citing works
“Based on above-mentioned limitations, the predictive performance of DXA in BMD prediction is lower than HU values [6–8, 16, 19, 36], and given that the difference in HU values between nonloosening and loosening patients was highest in the insertional screw position group, we believe that the insertional screw position…”
BackgroundMethodInfluentialBlake, G. M., Griffith, J. F., Yeung, D. K. W., Leung, P., & Fogelman, I. (2008) · Bone · doi:10.1016/j.bone.2008.11.003 · Cited by 76 · see citing works
“DXA scans evaluate BMD by measuring the transmission of X-rays through the body at two different photon energies [12].”
BackgroundSelf-citationSayilekshmy, M., Hansen, R. B., Delaissé, J., Rolighed, L., Andersen, T. L., & Heegaard, A. (2019) · Scientific Reports · doi:10.1038/s41598-019-41779-w · Cited by 73 · see citing works
Son, J. W., Han, B., Bennett, J. P., Heymsfield, S., & Lim, S. (2025) · Obesity Reviews · doi:10.1111/obr.13844 · Cited by 74 · see citing works
“43 However, it also requires a special facility, is relatively expensive, and involves low levels of radiation exposure.”
Epidemiology of Fractures in Diabetes
Starup‐Linde, J., Frost, M., Vestergaard, P., & Abrahamsen, B. (2016) · Calcified Tissue International · doi:10.1007/s00223-016-0175-x · Cited by 71 · see citing works
“BMD measured by dual-energy X-ray absorptiometry (DXA) scan is both diagnostic for osteoporosis and predicts fracture risk [88, 89].”
MethodTrabecular bone score in healthy ageing
Bazzocchi, A., Ponti, F., Diano, D., Amadori, M., Albisinni, U., Battista, G., & Guglielmi, G. (2015) · British Journal of Radiology · doi:10.1259/bjr.20140865 · Cited by 70 · see citing works
Yan, D., Wang, J., Hou, X., Bao, Y., Zhang, Z., Hu, C., & Jia, W. (2017) · Acta Pharmacologica Sinica · doi:10.1038/aps.2017.165 · Cited by 66 · see citing works
Improved prediction of fracture risk leveraging a genome-wide polygenic risk score
Lu, T., Forgetta, V., Keller‐Baruch, J., Nethander, M., Bennett, D., Forest, M., Bhatnagar, S., Walters, R. G., Lin, K., Chen, Z., et al. (2021) · Genome Medicine · doi:10.1186/s13073-021-00838-6 · Cited by 63 · see citing works
Hansen, A. E., Obel, N., Nielsen, H. I., Pedersen, C. D., & Gerstoft, J. (2010) · HIV Medicine · doi:10.1111/j.1468-1293.2010.00864.x · Cited by 64 · see citing works
Protein and bone health across the lifespan
Dolan, E., & Sale, C. (2018) · Proceedings of The Nutrition Society · doi:10.1017/s0029665118001180 · Cited by 61 · see citing works
Applicability of ToF-SIMS for monitoring compositional changes in bone in a long-term animal model
Henß, A., Rohnke, M., Khassawna, T. E., Govindarajan, P., Schlewitz, G., Heiß, C., & Janek, J. (2013) · Journal of The Royal Society Interface · doi:10.1098/rsif.2013.0332 · Cited by 57 · see citing works
“Clinically, a reduced BMD assessed by X-ray absorptiometry is considered to be the first indicator of osteoporosis [1].”
BackgroundDiana, A., Carlino, F., Giunta, E. F., Franzese, E., Guerrera, L. P., Lauro, V. D., Ciardiello, F., Daniele, B., & Orditura, M. (2021) · Current Treatment Options in Oncology · doi:10.1007/s11864-021-00835-2 · Cited by 56 · see citing works
Heiß, C., Govindarajan, P., Schlewitz, G., Hemdan, N. Y. A., Schliefke, N., Alt, V., Thormann, U., Lips, K. S., Wenisch, S., Langheinrich, A. C., et al. (2012) · Medical Science Monitor · doi:10.12659/msm.882895 · Cited by 51 · see citing works
Utility of DXA for monitoring, technical aspects of DXA BMD measurement and precision testing
CAREY, J. J., & Delaney, M. F. (2017) · Bone · doi:10.1016/j.bone.2017.05.021 · Cited by 51 · see citing works
Falls and Fractures in Diabetes—More than Bone Fragility
Rasmussen, N. H.-H., & Dal, J. (2019) · Current Osteoporosis Reports · doi:10.1007/s11914-019-00513-1 · Cited by 51 · see citing works
Variation in bone mineral density by anatomical site in patients with proximal humeral fractures
Wilson, J., Bonner, T. J., Head, M., Fordham, J. N., Brealey, S., & Rangan, A. (2009) · Journal of Bone and Joint Surgery - British Volume · doi:10.1302/0301-620x.91b6.22346 · Cited by 49 · see citing works
Nakamura, M., Ishiguro, A., Muranaka, T., Fukushima, H., Yuki, S., Ono, K., Murai, T., Matsuda, C., Oba, A., Itaya, K., et al. (2017) · The Oncologist · doi:10.1634/theoncologist.2016-0308 · Cited by 48 · see citing works
DEXA sensitivity analysis in patients with adult spinal deformity
Gupta, A. K., Upadhyaya, S., Patel, A. K., Fogel, H. A., Cha, T., Schwab, J. H., Bono, C. M., & Hershman, S. H. (2019) · The Spine Journal · doi:10.1016/j.spinee.2019.08.011 · Cited by 48 · see citing works
Sekar, S. K. V., Pagliazzi, M., Negredo, E., Martelli, F., Farina, A., Mora, A. D. D., Lindner, C., Farzam, P., Pérez‐Álvarez, N., Puig, J., et al. (2016) · PLoS ONE · doi:10.1371/journal.pone.0168426 · Cited by 47 · see citing works
Bennett, J. P., & Lim, S. K. (2025) · Journal of Obesity & Metabolic Syndrome · doi:10.7570/jomes25010 · Cited by 52 · see citing works
“85 These expanded capabilities position DXA as a key tool in identifying relationships be-tween body composition components and disease outcomes, particularly in research aiming to refine predictive models.”
Dual-Energy X-Ray Absorptiometry
Adams, J. E. (2008) · Springer eBooks · doi:10.1007/978-3-540-68604-0_7 · Cited by 45 · see citing works
“The first DXA scanners were introduced in the late 1980s, and DXA is now the most widely used and available method amongst the techniques applied for quantitative assessment of the skeleton (Blake and Fogelman 2007; Dasher et al. 2010; Guglielmi et al. 2011; Chun 2011), although its availability varies in different co…”
MethodCourtland, H., Nasser, P. R., Goldstone, A. B., Spevak, L., Boskey, A. L., & Jepsen, K. J. (2008) · Calcified Tissue International · doi:10.1007/s00223-008-9176-8 · Cited by 43 · see citing works
Spatially offset Raman spectroscopy for in vivo bone strength prediction
Shu, C., Chen, K., Lynch, M., Maher, J. R., Awad, H. A., & Berger, A. J. (2018) · Biomedical Optics Express · doi:10.1364/boe.9.004781 · Cited by 42 · see citing works
Carballido‐Gamio, J., Bonaretti, S., Saeed, I., Harnish, R. J., Recker, R. R., Burghardt, A. J., Keyak, J. H., Harris, T. B., Khosla, S., & Lang, T. (2015) · Europe PMC (PubMed Central) · doi:10.3978/j.issn.2223-4292.2015.08.02 · Cited by 39 · see citing works
“Areal bone mineral density (aBMD) assessed by dual X-ray absorptiometry (DXA) is the standard clinical parameter for the diagnosis of osteoporosis (4,5).”
MethodLee, C.-L., Tzeng, H.-E., Liu, W.-J., & Tsai, C. (2021) · Scientific Reports · doi:10.1038/s41598-021-88739-x · Cited by 39 · see citing works
“0056 Wrist 1148 (10) 94 (16) 387 (11) 571 (9) 96 (12) 0.”
Wrist bone mineral density utility in diagnosing hip osteoporosis in postmenopausal women
Eftekharsadat, B., Ghavami, M., Toopchizadeh, V., & Akbari, M. G. (2016) · Therapeutic Advances in Endocrinology and Metabolism · doi:10.1177/2042018816658164 · Cited by 38 · see citing works
Shiel, F., Persson, C., Furness, J. W., Simas, V., Pope, R., Climstein, M., Hing, W. A., & Schram, B. L. (2018) · Journal of science and medicine in sport · doi:10.1016/j.jsams.2018.03.005 · Cited by 38 · see citing works
Does Physical Exercise Always Improve Bone Quality in Rats?
Portier, H., Benaîtreau, D., & Pallu, S. (2020) · Life · doi:10.3390/life10100217 · Cited by 38 · see citing works
“Volumetric BMD differs from the areal (2-dimensional) BMD that is obtained using DXA [49–52].”
MethodInfluentialXu, Y., & Wu, Q. F. (2021) · Scientific Reports · doi:10.1038/s41598-021-83263-4 · Cited by 38 · see citing works
Osteoporosis Pre-Screening Using Ensemble Machine Learning in Postmenopausal Korean Women
Kwon, Y., Lee, J., Park, J. H., Kim, Y. M., Kim, S. H., Won, Y. J., & Kim, H.-Y. (2022) · Healthcare · doi:10.3390/healthcare10061107 · Cited by 38 · see citing works
“BMDs of the lumbar spine and femur are usually measured, but those of the wrist, finger, or heel may be substituted [21].”
BackgroundGovindarajan, P., Khassawna, T. E., Kampschulte, M., Böcker, W., Hürter, B., Dürselen, L., Faulenbach, M., & Heiß, C. (2013) · International Journal of Experimental Pathology · doi:10.1111/iep.12038 · Cited by 38 · see citing works
“Z-scores were calculated with the formula, Z-score = [Measured BMD – Age-matched BMD]/Age-matched population SD (Glen and Ignac 2007).”
MethodDewan, N., MacDermid, J. C., Grewal, R. S., & BEATTIE, K. A. (2018) · Archives of Osteoporosis · doi:10.1007/s11657-018-0445-5 · Cited by 36 · see citing works
Association of adiposity indices with bone density and bone turnover in the Chinese population
Wang, J., Yan, D., Hou, X., Chen, P., Sun, Q., Bao, Y., Hu, C., Zhang, Z., & Jia, W. (2017) · Osteoporosis International · doi:10.1007/s00198-017-4081-5 · Cited by 34 · see citing works
MRI-based assessment of proximal femur strength compared to mechanical testing
Rajapakse, C. S., Farid, A. R., Kargilis, D., Jones, B. C., Lee, J., Johncola, A., Batzdorf, A. S., Shetye, S. S., Hast, M. W., & Chang, G. A. (2020) · Bone · doi:10.1016/j.bone.2020.115227 · Cited by 34 · see citing works
“DXA scanners are fairly ubiquitous and provide precise measurements of bone density in short scan times [9].”
BackgroundCosta, G. P. O., Filho, E. S. F., Simões, R. S., Soares, J. M., Baracat, E. C., & Maciel, G. A. R. (2022) · Maturitas · doi:10.1016/j.maturitas.2022.09.011 · Cited by 34 · see citing works
Blake, G. M., Adams, J. E., & Bishop, N. J. (2013) · Primer on the metabolic bone diseases and disorders of mineral metabolism · doi:10.1002/9781118453926.ch30 · Cited by 34 · see citing works
Self-citationEffect of trabecular architectures on the mechanical response in osteoporotic and healthy human bone
Bregoli, C., Biffi, C. A., Tuissi, A., & Buccino, F. (2024) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-024-03134-8 · Cited by 33 · see citing works
“Currently, DXA scans, already implemented in clinics, provide information on bone density and WHO provides well-established indexes for the definition of osteoporosis (i.e. T-score, z-score) [9, 10].”
BackgroundMethodQuantitative Radionuclide Studies of Bone
Blake, G. M., Frost, M. L., & Fogelman, I. (2009) · Journal of Nuclear Medicine · doi:10.2967/jnumed.109.063263 · Cited by 33 · see citing works
“Bone densitometry using dual-energy x-ray absorptiometry is another method for monitoring changes in bone remodeling (14,15).”
BackgroundMethodSelf-citationAssociation Between Bone Mineral Density and Autoantibodies in Patients With Rheumatoid Arthritis
Amkreutz, J. A. M. P., de Moel, E. C., Theander, L., Willim, M., Heimans, L., Nilsson, J., Karlsson, M. K., Huizinga, T. W. J., Åkesson, K., Jacobsson, L., et al. (2020) · Arthritis & Rheumatology · doi:10.1002/art.41623 · Cited by 33 · see citing works
Buckens, C. F. M., de Jong, P. A., Mol, C. P., Bakker, E. W. P., Stallman, H., Mali, W. P. T. M., van der Graaf, Y., & Verkooijen, H. M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0071204 · Cited by 31 · see citing works
“Subclinical vertebral fractures may precede overt osteoporosis and may predict future fractures, independently of dual-energy X-ray absorptiometry, which is currently the standard modality used to diagnose osteoporosis but has only modest predictive value for future fractures [5].”
BackgroundDeep Learning-Based Hip X-ray Image Analysis for Predicting Osteoporosis
Feng, S.-W., Lin, S., Chiang, Y.-H., Lu, M.-H., & Chao, Y.-H. (2023) · Applied Sciences · doi:10.3390/app14010133 · Cited by 30 · see citing works
Ismail, S. M., El-Boghdady, N. A., Hamoud, H. S., & Shabayek, M. I. (2020) · Archives of Biochemistry and Biophysics · doi:10.1016/j.abb.2020.108331 · Cited by 30 · see citing works
Xie, L., Wu, Y., Meng, S., Hou, J., Fu, R., Zheng, H., He, N., Wang, M., & Meyers, K. A. (2019) · AIDS and Behavior · doi:10.1007/s10461-019-02587-5 · Cited by 29 · see citing works
Berber, R., Aziz, S., Simkins, J., Lin, S. S., & Mangwani, J. (2020) · Journal of Clinical Orthopaedics and Trauma · doi:10.1016/j.jcot.2020.03.009 · Cited by 29 · see citing works
Surgical Treatment Options in Patients With Impaired Bone Quality
Johanson, N. A., Litrenta, J. M., Zampini, J. M., Kleinbart, F. A., & Goldman, H. M. (2011) · Clinical Orthopaedics and Related Research · doi:10.1007/s11999-011-1838-6 · Cited by 29 · see citing works
“DXA-determined BMD has been used to define osteoporosis (through the use of T-scores) [142], predicts fracture risk [20, 92], and can monitor response to therapeutic interventions [11, 64].”
Lee, Y. H., Kim, J. J., & Jang, I. G. (2019) · Computational and Mathematical Methods in Medicine · doi:10.1155/2019/4102410 · Cited by 29 · see citing works
Hakestad, K. A., Nordsletten, L., Torstveit, M. K., & Risberg, M. A. (2014) · BMC Women s Health · doi:10.1186/1472-6874-14-92 · Cited by 28 · see citing works
“The method is exact and reliable [1,27], and the scanned areas were hip, femur neck and trochanter, lumbar spine and total body.”
MethodGuo, Y., Chen, Y., Zhang, X., Mei, Y., Yi, P., Wang, Y., Feng, Q., Tegola, L. L., Guglielmi, G., Zhang, X., et al. (2018) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.26279 · Cited by 28 · see citing works
“Bone mineral density (BMD) measured by dual energy x-ray absorptiometry (DXA) is the current standard quantitative indicator of osteoporosis and fracture risk in clinical practice.(6) However, the 2D DXA measurement of BMD is complicated by bone size and surrounding tissues.”
Machine Learning for Opportunistic Screening for Osteoporosis from CT Scans of the Wrist and Forearm
Sebro, R., & la Garza‐Ramos, C. D. (2022) · Diagnostics · doi:10.3390/diagnostics12030691 · Cited by 28 · see citing works
“The World Health Organization (WHO) and the International Society for Clinical Densitometry (ISCD) have guidelines for the classification of patients aged 50 years or greater with low BMD as osteoporotic or osteopenic based on DEXA BMD T-scores.”
BackgroundInfluentialSaarelainen, J., Hakulinen, M. A., Rikkonen, T., Kröger, H., Tuppurainen, M., Koivumaa-Honkanen, H. T., Honkanen, R., Hujo, M., & Jurvelin, J. S. (2016) · Journal of Osteoporosis · doi:10.1155/2016/1424582 · Cited by 27 · see citing works
“(coefficients of variation, CV% = (SD/mean) × 100%) of the instruments [14].”
Zulfarina, M. S., Ahmad, M. S., Aqilah-S.N, Z.-S., Mokhtar, S.-A., Nazrun, S. A., & Naina-Mohamed, I. (2016) · PubMed Central · Cited by 26 · see citing works
Hariri, A. F., Almatrafi, M. N., Zamka, A. B., Babaker, A. S., Fallatah, T. M., Althouwaibi, O. H., & Hamdi, A. (2019) · Journal of Obesity · doi:10.1155/2019/9827403 · Cited by 29 · see citing works
Bloomhardt, H. M., Sint, K., Ross, W. L., Rotatori, J. L., Ness, K. D., Robinson, C., Carpenter, T. O., Chow, E. J., & Kadan‐Lottick, N. S. (2019) · Cancer · doi:10.1002/cncr.32512 · Cited by 26 · see citing works
“208 Cancer January 1, 2020 on multiple epidemiological studies.(51) Because of the retrospective nature of our study, DXA surveillance may have occurred before or after a fracture, and we could not conclude causality between low BMD and fracture.”
BackgroundKim, H. J., Dash, A. S., Cunningham, M. E., Schwab, F. J., Dowdell, J. E., Harrison, J., Zaworski, C., Krez, A. N., Lafage, V., Agarwal, S., et al. (2020) · Bone · doi:10.1016/j.bone.2020.115731 · Cited by 26 · see citing works
Goff, E., Cohen, A., Shane, E. J., Recker, R. R., Kuhn, G. A., & Müller, R. (2022) · Bone · doi:10.1016/j.bone.2022.116424 · Cited by 26 · see citing works
Lurie, A. G., Tosoni, G. M., Tsimikas, J., & Walker, F. (2012) · Oral Surgery Oral Medicine Oral Pathology and Oral Radiology · doi:10.1016/j.oooo.2011.10.002 · Cited by 26 · see citing works
Discordance between Hip and Spine Bone Mineral Density: A Point of Care
Yoon, B., & Kim, D. (2021) · Journal of Bone Metabolism · doi:10.11005/jbm.2021.28.4.249 · Cited by 26 · see citing works
“[1] DXA is usually measured at the central bone (hip and spine) and the BMD is determined by the lowest score at 1 of these 2 sites.[1,2] Discordance is defined as a discrepancy in the BMD measurements at the 2 sites, which can pose clinicians with the predicament on how to incorporate BMD measurement when deciding on…”
BackgroundMethodChen, Y., Chan, W. P., Zhang, H., Tsai, Z.-R., Peng, H.-C., Huang, S.-W., Jang, Y.-C., & Kuo, Y. (2024) · Therapeutic Advances in Musculoskeletal Disease · doi:10.1177/1759720x241237872 · Cited by 25 · see citing works
Molino, G., Montalbano, G., Pontremoli, C., Fiorilli, S., & Vitale‐Brovarone, C. (2020) · Applied Sciences · doi:10.3390/app10248939 · Cited by 25 · see citing works
“In 1994, the WHO also recognised the value of the areal BMD measured by DXA as a reliable parameter for the assessment of bone fracture risk [42].”
BackgroundCharacteristics of Long-Term Femoral Neck Bone Loss in Postmenopausal Women: A 25-Year Follow-Up
Moilanen, A., Kopra, J., Kröger, H., Sund, R., Rikkonen, T., & Sirola, J. P. (2020) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.4444 · Cited by 25 · see citing works
“Hologic anthropometric lumbar spine phantom, European Spine Phantom (ESP), and GE Healthcare Lunar aluminum spine phantom((18,19)) were scanned 10 times during a period of 1 week to calculate the short-term precision error (coefficients of variation, CV% = (standard deviation [SD]/mean) 100%) of the instruments.((20))…”
MethodRana, D., Salave, S., Jain, S., Shah, R. P., & Benival, D. M. (2022) · Journal of Pharmaceutical Innovation · doi:10.1007/s12247-022-09663-9 · Cited by 25 · see citing works
“The poor bone strength manifests towards increased proneness of fractures of the spine, hip, forearm, and other skeletal settings ultimately leading to morbidity and mortality [2].”
BackgroundHenß, A., Hild, A., Rohnke, M., Wenisch, S., & Janek, J. (2015) · Biointerphases · doi:10.1116/1.4928211 · Cited by 25 · see citing works
Bone volume–to–total volume ratio measured in trabecular bone by single‐sided NMR devices
Brizi, L., Barbieri, M., Baruffaldi, F., Bortolotti, V., Fersini, C., Liu, H., d’Eurydice, M. N., Obruchkov, S. I., Zong, F., Galvosas, P., et al. (2017) · Magnetic Resonance in Medicine · doi:10.1002/mrm.26697 · Cited by 25 · see citing works
“It uses ionizing radiations and provides a measure of the areal bone mineral density (BMD), but does not provide any information about the microstructure of the bone (3,4), while the strength of trabecular bone to resist fractures depends not only on BMD, but also on the architecture of the trabecular structure.”
BackgroundDewan, N., MacDermid, J. C., Grewal, R. S., & BEATTIE, K. A. (2017) · Journal of Hand Therapy · doi:10.1016/j.jht.2017.06.009 · Cited by 25 · see citing works
The role of body composition assessment in obesity and eating disorders
Dalili, D., Bazzocchi, A., Dalili, D. E., Guglielmi, G., & Isaac, A. (2020) · European Journal of Radiology · doi:10.1016/j.ejrad.2020.109227 · Cited by 25 · see citing works
Aggarwal, A., Pal, R., Bhadada, S. K., Ram, S., Garg, A., Bhansali, A. K., Singh, P., Thakur, J. S., Singh, T., Sachdeva, N. K., et al. (2021) · Archives of Osteoporosis · doi:10.1007/s11657-020-00868-4 · Cited by 25 · see citing works
Calciolari, E., Donos, N., Park, J., Petrie, A., & Mardas, N. (2015) · Clinical Oral Implants Research · doi:10.1111/clr.12597 · Cited by 24 · see citing works
“…for measuring BMD and diagnosing osteoporosis for its reproducibility, short scan times, large normative data and very low doses of radiation (Blake and Fogelman 2007), although other techniques such as quantitative ultrasound (QUS), quantitative computed tomography (QCT), peripheral DXA,…”
Egorov, V., Tatarinov, A. M., Sarvazyan, N., Wood, R., Magidenko, L., Amin, S., Khosla, S., Ruh, R., Ruh, J., & Sarvazyan, A. P. (2013) · Ultrasonics · doi:10.1016/j.ultras.2013.08.017 · Cited by 24 · see citing works
“5 or lower is considered the current ‘‘gold standard’’ in osteoporosis assessment [1,2].”
Quantification of calcium content in bone by using ToF-SIMS–a first approach
Henß, A., Rohnke, M., Knaack, S., Kleine‐Boymann, M., Leichtweiß, T., Schmitz, P., Khassawna, T. E., Gelinsky, M., Heiß, C., & Janek, J. (2013) · Biointerphases · doi:10.1186/1559-4106-8-31 · Cited by 24 · see citing works
“Dual energy X-ray absorptiometry (DEXA) and quantitative computed tomography (Q-CT) are widely used for the clinical diagnosis of osteoporosis [1,2].”
MethodRegional differences in hip bone mineral density levels in Norway: the NOREPOS study
Omsland, T. K., Gjesdal, C. G., Emaus, N., Tell, G. S., & Meyer, H. E. (2008) · Osteoporosis International · doi:10.1007/s00198-008-0699-7 · Cited by 24 · see citing works
“Low bone mineral density (BMD) is widely recognized as a major risk factor for fractures [15].”
BackgroundMehta, S. D., & Sebro, R. (2019) · International Journal of Computer Assisted Radiology and Surgery · doi:10.1007/s11548-019-01933-1 · Cited by 23 · see citing works
- Authors
- Blake, G. M., & Fogelman, I.
- Affiliations
- King's College London (GB)
- Corresponding author
- Blake, Glen M
- ORCID
- Blake, Glen M
- Venue
- Postgraduate Medical Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2007-08-01
- Volume
- 83
- Issue
- 982
- Pages
- 509-517
- ISSN
- 0032-5473 (ISSN-L)
- 1469-0756
- PMC
- PMC2600106
- OpenAlex
- W2000878199
- Cited by
- 532
- References
- 74
- Citations by year
- 2026: 31 · 2025: 55 · 2024: 56 · 2023: 34 · 2022: 55 · 2021: 54 · 2020: 31 · 2019: 31 · 2018: 33 · 2017: 26 · 2016: 22 · 2015: 16 · 2014: 19 · 2013: 22 · 2012: 13
- FWCI
- 1.55
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Postgraduate Medical Journal (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Research Portal (King's College London) (submittedVersion)
- Topics
- Health Sciences › Medicine › Orthopedics and Sports Medicine › Bone health and osteoporosis research
- Health Sciences › Medicine › Emergency Medicine › HIV-related health complications and treatments
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Menopause: Health Impacts and Treatments
- Keywords
- dual-energy X-ray absorptiometry, bone mineral density, osteoporosis diagnosis, fracture risk prediction, treatment response monitoring
- MeSH terms
- Humans, Osteoporosis, Risk Factors, Absorptiometry, Photon, Bone Density, Risk Assessment, Fractures, Bone
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