Cited by 197Bone health and osteoporosis researchSpinal Fractures and Fixation TechniquesMedical Imaging and Analysis

Improved prediction of incident vertebral fractures using opportunistic QCT compared to DXA

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Löffler, Maximilian T., Jacob, Alina, Valentinitsch, Alexander, Rienmüller, Anna, Zimmer, Claus, Ryang, Yu-Mi, Baum, Thomas, Kirschke, Jan S.·2019·European Radiology

Abstract

To compare opportunistic quantitative CT (QCT) with dual energy X-ray absorptiometry (DXA) in their ability to predict incident vertebral fractures. We included 84 patients aged 50 years and older, who had routine CT including the lumbar spine and DXA within a 12-month period (baseline) as well as follow-up imaging after at least 12 months or who sustained an incident vertebral fracture documented earlier. Patients with bone disorders aside from osteoporosis were excluded. Fracture status and trabecular bone mineral density (BMD) were retrospectively evaluated in baseline CT and fracture status was reassessed at follow-up. BMDQCT was assessed by opportunistic QCT with asynchronous calibration of multiple MDCT scanners. Sixteen patients had incident vertebral fractures showing lower mean BMDQCT than patients without fracture (p = 0.001). For the risk of incident vertebral fractures, the hazard ratio increased per SD in BMDQCT (4.07; 95% CI, 1.98–8.38), as well as after adjusting for age, sex, and prevalent fractures (2.54; 95% CI, 1.09–5.90). For DXA, a statistically significant increase in relative hazard per SD decrease in T-score was only observed after age and sex adjustment (1.57; 95% CI, 1.04–2.38). The predictability of incident vertebral fractures was good by BMDQCT (AUC = 0.76; 95% CI, 0.64–0.89) and non-significant by T-scores. Asynchronously calibrated CT scanners showed good long-term stability (linear drift ranging from − 0.55 to − 2.29 HU per year). Opportunistic screening of mainly neurosurgical and oncologic patients in CT performed for indications other than densitometry allows for better risk assessment of imminent vertebral fractures than dedicated DXA. • Opportunistic QCT predicts osteoporotic vertebral fractures better than DXA reference standard in mainly neurosurgical and oncologic patients. • More than every second patient (56%) with an incident vertebral fracture was misdiagnosed not having osteoporosis according to DXA. • Standard ACR QCT-cutoff values for osteoporosis (< 80 mg/cm 3 ) and osteopenia (≤ 120 mg/cm 3 ) can also be applied scanner independently in calibrated opportunistic QCT.

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  • Previously published HU-to-BMD conversion equations were used for all CT scanners in this study.

    “Previously published HU-to-BMD conversion equations were used for all CT scanners in this study [22].”

    From Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA (2021) · cites this paper as [22]

    The Methods (Opportunistic QCT) state that HU-to-BMD conversion equations were calculated by linear regression using phantom measurements for the scanners in this study. Table 4 (Results) lists the resulting scanner-specific equations. The paper does not describe using previously published conversion equations for all scanners; the previously investigated values mentioned in Methods are contrast-enhancement correction offsets. (LLM, conf=0.92)

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  1. [1](1993) Consensus development conference: diagnosis, prophylaxis, and treatment of osteoporosis. Am J Med 94:646–650. 10.1016/0002-9343(93)90218-E 8506892 · DOI
  2. [2]Häussler B, Gothe H, Göl D, Glaeske G, Pientka L, Felsenberg D (2007) Epidemiology, treatment and costs of osteoporosis in Germany--the BoneEVA study. Osteoporos Int 18:77–84. 10.1007/s00198-006-0206-y 17048064 · DOI
  3. [3]Hernlund E Svedbom A Ivergård M Osteoporosis in the European Union: medical management, epidemiology and economic burden. A report prepared in collaboration with the International Osteoporosis Foundation (IOF) and the European Federation of Pharmaceutical Industry Associations (EFPIA) Arch Osteoporos 2013 8 136 10.1007/s11657-013-0136-1 24113837 PMC3880487 · DOI
  4. [5]Khosla S Shane E A crisis in the treatment of osteoporosis J Bone Miner Res 2016 31 1485 1487 10.1002/jbmr.2888 27335158 · DOI
  5. [6]Zhang J Delzell E Zhao H Central DXA utilization shifts from office-based to hospital-based settings among Medicare beneficiaries in the wake of reimbursement changes J Bone Miner Res 2012 27 858 864 10.1002/jbmr.1534 22190195 · DOI
  6. [7]Curtis JR Carbone L Cheng H Longitudinal trends in use of bone mass measurement among older Americans, 1999-2005 J Bone Miner Res 2008 23 1061 1067 10.1359/jbmr.080232 18302495 PMC2497454 · DOI
  7. [9]Jain RK Vokes T Dual-energy X-ray absorptiometry J Clin Densitom 2017 20 291 303 10.1016/j.jocd.2017.06.014 28716497 · DOI
  8. [10]Kanis JA Assessment of fracture risk and its application to screening for postmenopausal osteoporosis: synopsis of a WHO report. WHO Study Group Osteoporos Int 1994 4 368 381 10.1007/BF01622200 7696835 · DOI
  9. [11]Schuit SC, van der Klift M, Weel AE et al (2004) Fracture incidence and association with bone mineral density in elderly men and women: the Rotterdam study. Bone 34:195–202 14751578
  10. [12]Engelke K Adams JE Armbrecht G Clinical use of quantitative computed tomography and peripheral quantitative computed tomography in the management of osteoporosis in adults: the 2007 ISCD Official Positions J Clin Densitom 2008 11 123 162 10.1016/j.jocd.2007.12.010 18442757 · DOI · Paper page
  11. [13]Papadakis AE, Karantanas AH, Papadokostakis G, Petinellis E, Damilakis J (2009) Can abdominal multi-detector CT diagnose spinal osteoporosis? Eur Radiol 19:172–176. 10.1007/s00330-008-1099-2 18641992 · DOI
  12. [14]Engelke K Quantitative computed tomography-current status and new developments J Clin Densitom 2017 20 309 321 10.1016/j.jocd.2017.06.017 28712984 · DOI
  13. [15]Guglielmi G Grimston SK Fischer KC Pacifici R Osteoporosis: diagnosis with lateral and posteroanterior dual x-ray absorptiometry compared with quantitative CT Radiology 1994 192 845 850 10.1148/radiology.192.3.8058958 8058958 · DOI
  14. [16]Lafferty FW Rowland DY Correlations of dual-energy X-ray absorptiometry, quantitative computed tomography, and single photon absorptiometry with spinal and non-spinal fractures Osteoporos Int 1996 6 407 415 10.1007/BF01623015 8931036 · DOI
  15. [17]Rehman Q Lang T Modin G Lane NE Quantitative computed tomography of the lumbar spine, not dual x-ray absorptiometry, is an independent predictor of prevalent vertebral fractures in postmenopausal women with osteopenia receiving long-term glucocorticoid and hormone-replacement therapy Arthritis Rheum 2002 46 1292 1297 10.1002/art.10277 12115236 · DOI
  16. [18]Yu W Glüer CC Grampp S Spinal bone mineral assessment in postmenopausal women: a comparison between dual X-ray absorptiometry and quantitative computed tomography Osteoporos Int 1995 5 433 439 10.1007/BF01626604 8695964 · DOI · Paper page
  17. [19]Lee SJ, Graffy PM, Zea RD, Ziemlewicz TJ, Pickhardt PJ (2018) Future osteoporotic fracture risk related to lumbar vertebral trabecular attenuation measured at routine body CT. J Bone Miner Res 33:860–867. 10.1002/jbmr.3383 PMC5935538 29314261 · DOI
  18. [20]Genant HK Wu CY van Kuijk C Nevitt MC Vertebral fracture assessment using a semiquantitative technique J Bone Miner Res 1993 8 1137 1148 10.1002/jbmr.5650080915 8237484 · DOI · Paper page
  19. [21]Hedderich DM, Maegerlein C, Baum T et al (2018) Differentiation of acute/subacute versus old vertebral fractures in MDCT - is MRI always needed? World Neurosurg. 10.1016/j.wneu.2018.10.121 · DOI
  20. [22]Piazzolla A Solarino G Lamartina C Vertebral bone marrow edema (VBME) in conservatively treated acute vertebral compression fractures (VCFs): evolution and clinical correlations Spine (Phila Pa 1976) 2015 40 E842 E848 10.1097/BRS.0000000000000973 25946722 · DOI
  21. [23]Shepherd JA, Schousboe JT, Broy SB, Engelke K, Leslie WD (2015) Executive summary of the 2015 ISCD position development conference on advanced measures from DXA and QCT: fracture prediction beyond BMD. J Clin Densitom 18:274–286. 10.1016/j.jocd.2015.06.013 26277847 · DOI · Paper page
  22. [24]Lewiecki EM Binkley N Morgan SL Best practices for dual-energy X-ray absorptiometry measurement and reporting: International Society for Clinical Densitometry Guidance J Clin Densitom 2016 19 127 140 10.1016/j.jocd.2016.03.003 27020004 · DOI
  23. [25]Bauer JS Müller D Ambekar A Detection of osteoporotic vertebral fractures using multidetector CT Osteoporos Int 2006 17 608 615 10.1007/s00198-005-0023-8 16437195 · DOI · Paper page
  24. [26]Brown JK Timm W Bodeen G Asynchronously calibrated quantitative bone densitometry J Clin Densitom 2017 20 216 225 10.1016/j.jocd.2015.11.001 26781430 · DOI
  25. [27]Baum T, Müller D, Dobritz M, Rummeny EJ, Link TM, Bauer JS (2011) BMD measurements of the spine derived from sagittal reformations of contrast-enhanced MDCT without dedicated software. Eur J Radiol 80:e140–e145. 10.1016/j.ejrad.2010.08.034 20851544 · DOI
  26. [28]Kaesmacher J Liebl H Baum T Kirschke JS Bone mineral density estimations from routine multidetector computed tomography: a comparative study of contrast and calibration effects J Comput Assist Tomogr 2017 41 217 223 10.1097/RCT.0000000000000518 27798444 PMC5359785 · DOI · Paper page
  27. [30]Glüer CC, Blake G, Lu Y, Blunt BA, Jergas M, Genant HK (1995) Accurate assessment of precision errors: how to measure the reproducibility of bone densitometry techniques. Osteoporos Int 5:262–270 7492865
  28. [31]Grampp S Genant HK Mathur A Comparisons of noninvasive bone mineral measurements in assessing age-related loss, fracture discrimination, and diagnostic classification J Bone Miner Res 1997 12 697 711 10.1359/jbmr.1997.12.5.697 9144335 · DOI
  29. [32]Ito M Hayashi K Ishida Y Discrimination of spinal fracture with various bone mineral measurements Calcif Tissue Int 1997 60 11 15 10.1007/s002239900178 9030473 · DOI
  30. [33]Alacreu E Moratal D Arana E Opportunistic screening for osteoporosis by routine CT in Southern Europe Osteoporos Int 2017 28 983 990 10.1007/s00198-016-3804-3 28108802 · DOI
  31. [35]Marinova M, Edon B, Wolter K, Katsimbari B, Schild HH, Strunk HM (2015) Use of routine thoracic and abdominal computed tomography scans for assessing bone mineral density and detecting osteoporosis. Curr Med Res Opin 31:1871–1881. 10.1185/03007995.2015.1074892 26308674 · DOI
  32. [36]Reid IR Evans MC Ames R Wattie DJ The influence of osteophytes and aortic calcification on spinal mineral density in postmenopausal women J Clin Endocrinol Metab 1991 72 1372 1374 10.1210/jcem-72-6-1372 2026758 · DOI
  33. [37]Orwoll ES Oviatt SK Mann T The impact of osteophytic and vascular calcifications on vertebral mineral density measurements in men J Clin Endocrinol Metab 1990 70 1202 1207 10.1210/jcem-70-4-1202 2318940 · DOI
  34. [38]Yu W Glüer CC Fuerst T Influence of degenerative joint disease on spinal bone mineral measurements in postmenopausal women Calcif Tissue Int 1995 57 169 174 10.1007/BF00310253 8574931 · DOI · Paper page
  35. [39]Fidler JL Murthy NS Khosla S Comprehensive assessment of osteoporosis and bone fragility with CT colonography Radiology 2016 278 172 180 10.1148/radiol.2015141984 26200602 PMC4699492 · DOI
  36. [40]Li N, Li XM, Xu L, Sun WJ, Cheng XG, Tian W (2013) Comparison of QCT and DXA: osteoporosis detection rates in postmenopausal women. Int J Endocrinol 2013:895474. 10.1155/2013/895474 PMC3623474 23606843 · DOI
  37. [41]Wang X Sanyal A Cawthon PM Prediction of new clinical vertebral fractures in elderly men using finite element analysis of CT scans J Bone Miner Res 2012 27 808 816 10.1002/jbmr.1539 22190331 PMC3510751 · DOI
  38. [42]Chalhoub D Orwoll ES Cawthon PM Areal and volumetric bone mineral density and risk of multiple types of fracture in older men Bone 2016 92 100 106 10.1016/j.bone.2016.08.014 27554426 PMC5056840 · DOI · Paper page
  39. [43]Kopperdahl DL Aspelund T Hoffmann PF Assessment of incident spine and hip fractures in women and men using finite element analysis of CT scans J Bone Miner Res 2014 29 570 580 10.1002/jbmr.2069 23956027 PMC3925753 · DOI
  40. [44]Felsenberg D, Gowin W (1999) Bone densitometry by dual energy methods. Radiologe 39:186–193. 10.1007/s001170050495 10218211 · DOI
  41. [45]Engelke K Lang T Khosla S 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 18 393 407 10.1016/j.jocd.2015.06.010 26277853 · DOI
  42. [46]Buckens CF van der Graaf Y Verkooijen HM Osteoporosis markers on low-dose lung cancer screening chest computed tomography scans predict all-cause mortality Eur Radiol 2015 25 132 139 10.1007/s00330-014-3361-0 25323601 · DOI
  43. [47]Fang J Franconeri A Boos J Opportunistic bone density measurement on abdomen and pelvis computed tomography to predict fracture risk in women aged 50 to 64 years without osteoporosis risk factors J Comput Assist Tomogr 2018 42 798 806 10.1097/RCT.0000000000000744 29659427 · DOI
  44. [48]Lee SJ, Binkley N, Lubner MG, Bruce RJ, Ziemlewicz TJ, Pickhardt PJ (2016) Opportunistic screening for osteoporosis using the sagittal reconstruction from routine abdominal CT for combined assessment of vertebral fractures and density. Osteoporos Int 27:1131–1136. 10.1007/s00198-015-3318-4 26419470 · DOI
  45. [49]Li YL Wong KH MW L Opportunistic screening for osteoporosis in abdominal computed tomography for Chinese population Arch Osteoporos 2018 13 76 10.1007/s11657-018-0492-y 29987388 · DOI
  46. [50]Rebello D Anjelly D Grand DJ Opportunistic screening for bone disease using abdominal CT scans obtained for other reasons in newly diagnosed IBD patients Osteoporos Int 2018 29 1359 1366 10.1007/s00198-018-4444-6 29520605 · DOI
  47. [51]Wang L Su Y Wang Q Validation of asynchronous quantitative bone densitometry of the spine: accuracy, short-term reproducibility, and a comparison with conventional quantitative computed tomography Sci Rep 2017 7 6284 10.1038/s41598-017-06608-y 28740145 PMC5524691 · DOI
  48. [52]Pickhardt PJ Lauder T Pooler BD Effect of IV contrast on lumbar trabecular attenuation at routine abdominal CT: correlation with DXA and implications for opportunistic osteoporosis screening Osteoporos Int 2016 27 147 152 10.1007/s00198-015-3224-9 26153046 · DOI

Cited by

Sorted by citations

Authors
Löffler, M. T., Jacob, A., Valentinitsch, A., Rienmüller, A., Zimmer, C., Ryang, Y.-M., Baum, T., & Kirschke, J. S.
Affiliations
TUM Klinikum (DE)
Corresponding author
Löffler, Maximilian T.
Venue
European Radiology
Published
2019-02-21
Volume
29
Issue
9
Pages
4980-4989
ISSN
  • 0938-7994 (ISSN-L)
  • 1432-1084
OpenAlex
W2917426823
Cited by
197
References
3
Citations by year
2026: 26 · 2025: 29 · 2024: 34 · 2023: 44 · 2022: 19 · 2021: 30 · 2020: 11 · 2019: 2 · 2016: 1
FWCI
16.48
Type
journal article
Language
en
Open access
Locations
  • European Radiology (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • mediaTUM (Technical University of Munich) (submittedVersion, other-oa)
  • mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (submittedVersion)
Funders
H2020 European Research Council (637164)
Topics
  • Health Sciences › Medicine › Orthopedics and Sports Medicine › Bone health and osteoporosis research
  • Health Sciences › Medicine › Surgery › Spinal Fractures and Fixation Techniques
  • Physical Sciences › Engineering › Biomedical Engineering › Medical Imaging and Analysis
Keywords
dual-energy X-ray absorptiometry, osteoporosis, trabecular bone mineral density, osteopenia, fracture risk prediction, lumbar spine, older adults
MeSH terms
Aged, Bone Diseases, Metabolic, Calibration, Female, Humans, Lumbar Vertebrae, Male, Mass Screening, Middle Aged, Retrospective Studies, Tomography, X-Ray Computed, Absorptiometry, Photon, Bone Density, Spinal Fractures, Osteoporotic Fractures

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