CT and MR for bone mineral density and trabecular bone score assessment in osteoporosis evaluation.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
03 10 2023
Historique:
received: 24 02 2023
accepted: 29 09 2023
medline: 2 11 2023
pubmed: 4 10 2023
entrez: 3 10 2023
Statut: epublish

Résumé

Dual energy X-ray absorptiometry (DXA) is widely used modality for measuring bone mineral density (BMD). DXA is used to measure the quantitative areal BMD of bone, but has the disadvantage of not reflecting the bone architecture. To compensate for this disadvantage, trabecular bone score (TBS), a qualitative parameter of trabecular microarchitecture, is used. Meanwhile, there have been recent attempts to diagnose osteoporosis using the Hounsfield unit (HU) from CT and MR-based proton density fat fraction (PDFF) measurements. In our study, we aimed to find out the correlation between HU/PDFF and BMD/TBS, and whether osteoporosis can be diagnosed through HU/PDFF. Our study revealed that the HU value showed a moderate to good positive correlation with BMD and TBS. PDFF showed a fair negative correlation with BMD and TBS. In diagnosing osteopenia and osteoporosis, the HU value showed good performance, whereas the PDFF showed fair performance. In conclusion, both HU values and PDFF can play a role in predicting BMD and TBS. Both HU values and PDFF can be used to predict osteoporosis; further, CT is expected to show better results.

Identifiants

pubmed: 37789069
doi: 10.1038/s41598-023-43850-z
pii: 10.1038/s41598-023-43850-z
pmc: PMC10547782
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

16574

Informations de copyright

© 2023. Springer Nature Limited.

Références

Consensus development conference. Diagnosis, prophylaxis, and treatment of osteoporosis. Am. J. Med. 94, 646–650. https://doi.org/10.1016/0002-9343(93)90218-e (1993).
doi: 10.1016/0002-9343(93)90218-e
Dobbs, M. B., Buckwalter, J. & Saltzman, C. Osteoporosis: The increasing role of the orthopaedist. Iowa Orthop. J. 19, 43–52 (1999).
pubmed: 10847516 pmcid: 1888612
Glaser, D. L. & Kaplan, F. S. Osteoporosis. Definition and clinical presentation. Spine Phila Pa 1976 22, 12–16. https://doi.org/10.1097/00007632-199712151-00003 (1997).
doi: 10.1097/00007632-199712151-00003
Shevroja, E., Cafarelli, F. P., Guglielmi, G. & Hans, D. DXA parameters, trabecular bone score (TBS) and bone mineral density (BMD), in fracture risk prediction in endocrine-mediated secondary osteoporosis. Endocrine 74, 20–28. https://doi.org/10.1007/s12020-021-02806-x (2021).
doi: 10.1007/s12020-021-02806-x pubmed: 34245432 pmcid: 8440280
Link, T. M. & Kazakia, G. Update on imaging-based measurement of bone mineral density and quality. Curr. Rheumatol. Rep. 22, 13. https://doi.org/10.1007/s11926-020-00892-w (2020).
doi: 10.1007/s11926-020-00892-w pubmed: 32270332 pmcid: 7875476
Silva, B. C. et al. Trabecular bone score: A noninvasive analytical method based upon the DXA image. J. Bone Miner. Res. 29, 518–530. https://doi.org/10.1002/jbmr.2176 (2014).
doi: 10.1002/jbmr.2176 pubmed: 24443324
Boutroy, S. et al. Trabecular bone score improves fracture risk prediction in non-osteoporotic women: The OFELY study. Osteoporos. Int. 24, 77–85. https://doi.org/10.1007/s00198-012-2188-2 (2013).
doi: 10.1007/s00198-012-2188-2 pubmed: 23070481
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. 14, 302–312. https://doi.org/10.1016/j.jocd.2011.05.005 (2011).
doi: 10.1016/j.jocd.2011.05.005 pubmed: 21724435
Leib, E., Winzenrieth, R., Lamy, O. & Hans, D. Comparing bone microarchitecture by trabecular bone score (TBS) in Caucasian American women with and without osteoporotic fractures. Calcif. Tissue Int. 95, 201–208. https://doi.org/10.1007/s00223-014-9882-3 (2014).
doi: 10.1007/s00223-014-9882-3 pubmed: 24948332
Damilakis, J., Adams, J. E., Guglielmi, G. & Link, T. M. Radiation exposure in X-ray-based imaging techniques used in osteoporosis. Eur. Radiol. 20, 2707–2714. https://doi.org/10.1007/s00330-010-1845-0 (2010).
doi: 10.1007/s00330-010-1845-0 pubmed: 20559834 pmcid: 2948153
Cosman, F. et al. Clinician’s guide to prevention and treatment of osteoporosis. Osteoporos. Int. 25, 2359–2381. https://doi.org/10.1007/s00198-014-2794-2 (2014).
doi: 10.1007/s00198-014-2794-2 pubmed: 25182228 pmcid: 4176573
Schreiber, J. J., Anderson, P. A. & Hsu, W. K. Use of computed tomography for assessing bone mineral density. Neurosurg. Focus 37, E4. https://doi.org/10.3171/2014.5.FOCUS1483 (2014).
doi: 10.3171/2014.5.FOCUS1483 pubmed: 24981903
Zhu, Y. et al. Opportunistic CT screening of osteoporosis on thoracic and lumbar spine: A meta-analysis. Clin. Imaging 80, 382–390. https://doi.org/10.1016/j.clinimag.2021.08.005 (2021).
doi: 10.1016/j.clinimag.2021.08.005 pubmed: 34530357
Zou, D., Li, W., Deng, C., Du, G. & Xu, N. The use of CT Hounsfield unit values to identify the undiagnosed spinal osteoporosis in patients with lumbar degenerative diseases. Eur. Spine J. 28, 1758–1766. https://doi.org/10.1007/s00586-018-5776-9 (2019).
doi: 10.1007/s00586-018-5776-9 pubmed: 30306332
Schreiber, J. J., Anderson, P. A., Rosas, H. G., Buchholz, A. L. & Au, A. G. Hounsfield units for assessing bone mineral density and strength: A tool for osteoporosis management. J. Bone Joint. Surg. Am. 93, 1057–1063. https://doi.org/10.2106/JBJS.J.00160 (2011).
doi: 10.2106/JBJS.J.00160 pubmed: 21655899
Vijay, A., Shankar, N., Ligesh, C. A. S. & Anburajan, M. In 2011 3rd International Conference on Eletronics Computer Technology. 334–338 (IEEE) (2011).
Kim, D. et al. Simultaneous estimation of the fat fraction and R
doi: 10.3348/kjr.2018.0032 pubmed: 31132817 pmcid: 6536792
Chang, R. et al. Percentage fat fraction in magnetic resonance imaging: Upgrading the osteoporosis-detecting parameter. BMC Med. Imaging 20, 30. https://doi.org/10.1186/s12880-020-00423-0 (2020).
doi: 10.1186/s12880-020-00423-0 pubmed: 32183731 pmcid: 7079407
Rosen, C. J. & Bouxsein, M. L. Mechanisms of disease: Is osteoporosis the obesity of bone?. Nat. Clin. Pract. Rheumatol. 2, 35–43. https://doi.org/10.1038/ncprheum0070 (2006).
doi: 10.1038/ncprheum0070 pubmed: 16932650
Dieckmeyer, M. et al. The need for T
doi: 10.1002/nbm.3267 pubmed: 25683154
Karampinos, D. C. et al. Bone marrow fat quantification in the presence of trabecular bone: Initial comparison between water-fat imaging and single-voxel MRS. Magn. Reson. Med. 71, 1158–1165. https://doi.org/10.1002/mrm.24775 (2014).
doi: 10.1002/mrm.24775 pubmed: 23657998 pmcid: 3759615
Shuhart, C. R. et al. Executive summary of the 2019 ISCD position development conference on monitoring treatment, DXA cross-calibration and least significant change, spinal cord injury, peri-prosthetic and orthopedic bone health, transgender medicine, and pediatrics. J. Clin. Densitom. 22, 453–471 (2019).
doi: 10.1016/j.jocd.2019.07.001 pubmed: 31400968
Loffler, M. T. et al. Improved prediction of incident vertebral fractures using opportunistic QCT compared to DXA. Eur. Radiol. 29, 4980–4989. https://doi.org/10.1007/s00330-019-06018-w (2019).
doi: 10.1007/s00330-019-06018-w pubmed: 30790025 pmcid: 6682570
Boutin, R. D. et al. CT phantom evaluation of 67,392 American college of radiology accreditation examinations: Implications for opportunistic screening of osteoporosis using CT. AJR Am. J. Roentgenol. 216, 447–452. https://doi.org/10.2214/AJR.20.22943 (2021).
doi: 10.2214/AJR.20.22943 pubmed: 32755177
Cheng, X. et al. Opportunistic screening using low-dose CT and the prevalence of osteoporosis in China: A nationwide. Multicent. Study J. Bone Min. Res. 36, 427–435. https://doi.org/10.1002/jbmr.4187 (2021).
doi: 10.1002/jbmr.4187
Bazzocchi, A. et al. Trabecular bone score in healthy ageing. Br. J. Radiol. 88, 20140865. https://doi.org/10.1259/bjr.20140865 (2015).
doi: 10.1259/bjr.20140865 pubmed: 26148778 pmcid: 4651387
Tencerova, M. & Kassem, M. The bone marrow-derived stromal cells: Commitment and regulation of adipogenesis. Front. Endocrinol. Lausanne 7, 127. https://doi.org/10.3389/fendo.2016.00127 (2016).
doi: 10.3389/fendo.2016.00127 pubmed: 27708616 pmcid: 5030474
Choi, M. K., Kim, S. M. & Lim, J. K. Diagnostic efficacy of Hounsfield units in spine CT for the assessment of real bone mineral density of degenerative spine: Correlation study between T-scores determined by DEXA scan and Hounsfield units from CT. Acta Neurochir. Wien. 158, 1421–1427. https://doi.org/10.1007/s00701-016-2821-5 (2016).
doi: 10.1007/s00701-016-2821-5 pubmed: 27177734
Donohue, D. et al. Opportunistic CT screening for osteoporosis in patients with pelvic and acetabular trauma: Technique and potential clinical impact. J. Orthop. Trauma 32, 408–413. https://doi.org/10.1097/BOT.0000000000001231 (2018).
doi: 10.1097/BOT.0000000000001231 pubmed: 30028793
Choplin, R. H., Lenchik, L. & Wuertzer, S. A practical approach to interpretation of dual-energy X-ray absorptiometry (DXA) for assessment of bone density. Curr. Radiol. Rep. 2, 48. https://doi.org/10.1007/s40134-014-0048-x (2014).
doi: 10.1007/s40134-014-0048-x
Amin, M. F. M., Zakaria, W. M. W. & Yahya, N. Correlation between Hounsfield unit derived from head, thorax, abdomen, spine and pelvis CT and t-scores from DXA. Skeletal. Radiol. 50, 2525–2535. https://doi.org/10.1007/s00256-021-03801-z (2021).
doi: 10.1007/s00256-021-03801-z pubmed: 34021364
Yun, J. S., Lee, H. D., Kwack, K. S. & Park, S. Use of proton density fat fraction MRI to predict the radiographic progression of osteoporotic vertebral compression fracture. Eur. Radiol. 31, 3582–3589. https://doi.org/10.1007/s00330-020-07529-7 (2021).
doi: 10.1007/s00330-020-07529-7 pubmed: 33245495
Schmeel, F. C. 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 50, 1762–1772. https://doi.org/10.1002/jmri.26748 (2019).
doi: 10.1002/jmri.26748 pubmed: 30980694
Koo, T. K. & Li, M. Y. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J. Chiropr. Med. 15, 155–163. https://doi.org/10.1016/j.jcm.2016.02.012 (2016).
doi: 10.1016/j.jcm.2016.02.012 pubmed: 27330520 pmcid: 4913118

Auteurs

Haein Lee (H)

Department of Radiology, Ajou University School of Medicine, 164, World Cup-Ro, Yeongtong-Gu, Suwon, 16499, South Korea.
Musculoskeletal Imaging Laboratory, Ajou University Medical Center, Suwon, South Korea.

Sunghoon Park (S)

Department of Radiology, Ajou University School of Medicine, 164, World Cup-Ro, Yeongtong-Gu, Suwon, 16499, South Korea.
Musculoskeletal Imaging Laboratory, Ajou University Medical Center, Suwon, South Korea.

Kyu-Sung Kwack (KS)

Department of Radiology, Ajou University School of Medicine, 164, World Cup-Ro, Yeongtong-Gu, Suwon, 16499, South Korea.
Musculoskeletal Imaging Laboratory, Ajou University Medical Center, Suwon, South Korea.

Jae Sung Yun (JS)

Department of Radiology, Ajou University School of Medicine, 164, World Cup-Ro, Yeongtong-Gu, Suwon, 16499, South Korea. taurii22@gmail.com.
Musculoskeletal Imaging Laboratory, Ajou University Medical Center, Suwon, South Korea. taurii22@gmail.com.

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