Skip to main content
Log in

Quantification evaluation of 99mTc-MDP concentration in the lumbar spine with SPECT/CT: compare with bone mineral density

  • Original Article
  • Published:
Annals of Nuclear Medicine Aims and scope Submit manuscript

Abstract

Background

Despite recent technological advances allowing for quantitative single-photon emission computed tomography (SPECT), quantitative SPECT has not been widely used in the clinical practice of osteoporosis. The aim of this study is to evaluate the feasibility of quantitative bone SPECT/CT for measuring lumbar standard uptake value (SUV) in patients with different bone-mineral density (BMD), and investigate the correlation between SUV measured with 99mTc-methylene diphosphonate (MDP) SPECT/CT and BMD assessment by dual-energy X-ray absorptiometry (DXA).

Methods

A retrospective analysis of 62 cases 99mTc-MDP whole-body bone imaging and local lumbar SPECT/CT tomography were performed. According to the results of dual-energy X-ray bone density examination, they were divided into normal group, osteopenic group, and osteoporosis group. The raw SPECT data were reconstructed using flash3D which includes attenuation correction, scatter compensation, and collimator resolution recovery, SPECT images from this algorithm were calibrated for SUV analysis. Comparing difference of lumbar SUV in different BMD subjects, and investigating the correlation between lumbar SUV and BMD. Data were analyzed by one-way ANOVA and Pearson regression analysis using SPSS 17.0 software.

Results

The maximum SUV (SUVmax) and mean SUV (SUVmean) of L1–L4 vertebral in 62 subjects were 7.39 ± 1.84 and 4.90 ± 1.27, respectively. The average BMD was 0.85 ± 0.15 (g/cm2), and the average CT value was 145.88 ± 53.99 (HU). The SUVmax, SUVmean, BMD, and CT values of the lumbar spine were statistically significantly different among the three groups (F = 24.089, 30.501, 94.847, 30.241, all p < 0.001), and the osteopenic group was significantly lower than the normal group (all p < 0.001), the osteoporosis group was significantly lower than the normal group and the osteopenic group (all p < 0.001). Lumbar SUVmax, SUVmean, and BMD were significantly negatively correlated with age (r = − 0.328 to − 0.442, all p < 0.05), and positively correlated with body weight and CT value (r = 0.299–0.737, all p < 0.05), but no significant correlation with height (r = 0.006–0.175, all p > 0.05). Lumbar SUVmax and SUVmean increased significantly with the increase of BMD (r = 0.638, 0.632, p < 0.001).

Conclusion

The SUV of lumbar spine in 99mTc-MDP bone SPECT/CT was significantly different among subjects with different BMD, and the SUV was positively correlated with BMD. These findings justify that quantitative bone SPECT/CT is an applicable tool for clinical quantification of bone metabolism in osteoporosis patients.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Bailey DL, Willowson KP. Quantitative SPECT/CT: SPECT joins PET as a quantitative imaging modality. Eur J Nucl Med Mol Imaging. 2014;41(Suppl 1):S17–S25.

    Article  Google Scholar 

  2. Armstrong IS, Hoffmann SA. Activity concentration measurementsusing a conjugate gradient (Siemens xSPECT) reconstruction algorithmin SPECT/CT. Nucl Med Commun. 2016;37:1212–7.

    Article  Google Scholar 

  3. Ross JC, Vilic D, Sanderson T, Vöö S, Dickson J. Does quantification have a role to play in the future of bone SPECT? Eur J Hybrid Imaging. 2019;3:8.

    Article  Google Scholar 

  4. Kaneta T, Ogawa M, Daisaki H, Nawata S, Yoshida K, Inoue T. SUV measurement of normal vertebrae using SPECT/CT with Tc-99m methylene diphosphonate. Am J Nucl Med Mol Imaging. 2016;6(5):262–8.

    CAS  PubMed  PubMed Central  Google Scholar 

  5. Cachovan M, Vija AH, Hornegger J, Kuwert T. Quantification of 99mTc-DPD concentration in the lumbar spine with SPECT/CT. EJNMMI Res. 2013;3:1–8.

    Article  Google Scholar 

  6. Lewiecki EM, Laster AJ, Miller PD, Bilezikian JP. More bone density testing is needed, not less. J Bone Miner Res. 2012;27:739–42.

    Article  Google Scholar 

  7. Söderberg M, Gunnarsson M. The effect of different adaptation strengths on image quality and radiation dose using Siemens Care Dose 4D. Radiat Prot Dosimetry. 2010;139:173–9.

    Article  Google Scholar 

  8. Römer W, Reichel N, Vija HA, et al. Isotropic reconstruction of SPECT data using OSEM3D: correlation with CT. Acad Radiol. 2006;13:496–502.

    Article  Google Scholar 

  9. Huang KM, Feng YL, Liang WT, Li L, Feng YX, Deng DL. Absolute quantitative phantom of SPECT/CT imaging based on specified reconstruction algorithms and correction methods. Chin J Nucl Med Mol Imaging. 2018;38:340–4.

    Google Scholar 

  10. Huang KM, Feng YL, Liang WT, et al. Impact of partial volume effect on quantitative results in SPECT/CT. Chin J Med Imaging. 2017;25:867–71.

    Google Scholar 

  11. Suh MS, Lee WW, Kim Y-K, Yun P-Y, Kim SE. Maximum standardized uptake evalue of (99m)Tc hydroxymethylene diphosphonate SPECT/CT for the evaluation of temporomandibular joint disorder. Radiology. 2016;280:890–6.

    Article  Google Scholar 

  12. Kanis JA, McCloskey EV, Johansson H, Cooper C, Rizzoli R, Reginster J-Y (2013) European guidance for thediagnosis and management of osteoporosis in postmeno-pausal women. Osteoporos Int 24:23–57.

  13. Bailey DL, Willowson KP. An evidence-based review of quantitative SPECT imaging and potential clinical applications. J Nucl Med. 2013;54:83–9.

    Article  Google Scholar 

  14. Ritt P, Vija H, Hornegger J, Kuwert T. Absolute quantification in SPECT. Eur J Nucl Med Mol Imaging. 2011;38(Suppl 1):S67–S77.

    Google Scholar 

  15. Willowson K, Bailey DL, Bailey EA, Baldock C, Roach PJ. In vivo validation of quantitative SPECT in the heart. Clin Physiol Funct Imaging. 2010;30:214–9.

    Article  Google Scholar 

  16. Rowe SP, Vicente E, Anizan N, et al. Repeatability of radiotracer uptake in normal abdominal organs with 111In-pentetreotide quantitative SPECT/CT. J Nucl Med. 2015;56:985–8.

    Article  CAS  Google Scholar 

  17. Willowson K, Bailey DL, Schembri G, Baldock C. CT-based quantitative SPECT for the radionuclide 201Tl: experimental validation and a standardized uptake value for brain tumour patients. Cancer Imaging. 2012;12:31–40.

    Article  Google Scholar 

  18. Zeintl J, Vija AH, Yahil A, Hornegger J, Kuwert T. Quantitative accuracy of clinical 99mTc SPECT/CT using ordered-subset expectation maximization with 3-dimensional resolution recovery, attenuation, and scatter correction. J Nucl Med. 2010;51:921–8.

    Article  Google Scholar 

  19. Shcherbinin S, Celler A, Belhocine T, Vanderwerf R, Driedger A. Accuracy of quantitative reconstructions in SPECT/CT imaging. Phys Med Biol. 2008;53:4595–604.

    Article  CAS  Google Scholar 

  20. Yamane T, Kuji I, Seto A, Matsunari I. Quantification of osteoblastic activity in epiphyseal growth plates by quantitative bone SPECT/CT. Skeletal Radiol. 2018;47:805–10.

    Article  Google Scholar 

  21. Umeda T, Koizumi M, Fukai S, et al. Evaluation of bone metastatic burden by bone SPECT/CT in metastatic prostate cancer patients: defining threshold value for total bone uptake and assessment in radium-223 treated patients. Ann Nucl Med. 2018;32:105–13.

    Article  CAS  Google Scholar 

  22. Kim J, Lee H-H, Kang Y, et al. Maximum standardised uptake value of quantitative bone SPECT/CT in patients with medial compartment osteoarthritis of the knee. Clin Radiol. 2017;72:580–9.

    Article  CAS  Google Scholar 

  23. Uchida K, Nakajima H, Miyazaki T, et al. Effects of alendronate on bone metabolism in glucocorticoid-induced osteoporosis measured by 18 F-fluoride PET: a prospective study. J NuclMed. 2009;50:1808–14.

    Article  CAS  Google Scholar 

  24. Kuji I, Yamane T, Seto A, Yasumizu Y, Shirotake S, Oyama M. Skeletal standardized uptake values obtained by quantitative SPECT/CT as anosteoblastic biomarker for the discrimination of active bone metastasis in prostate cancer. Eur J Hybrid Imaging. 2017;1:2–17.

    Article  Google Scholar 

  25. He W, Zhai W, Steien S, et al. A novel quantification of 99mTc-MDP concentration and 18F-FDG PET/CT metabolism in lumbar disc herniation patients. J Nucl Med. 2016;57(Suppl 2):1817.

    Google Scholar 

  26. Beck M, Sanders JC, Ritt P, Reinfelder J, Kuwert T. Longitudinal analysis of bone metabolism using SPECT/CT and 99mTc-diphosphono-Propanedi carboxylic acid: comparison of visual and quantitative analysis. EJNMMI Res. 2016;6:60.

    Article  Google Scholar 

  27. Toegel S, Hoffmann O, Wadsak W, et al. Uptake of boneseekers is solely associated with mineralization: a study with 99mTc-MDP,153Sm-EDTMP and 18F-fluoride on osteoblasts. Eur J Nucl Med. 2006;33:491–4.

    Article  Google Scholar 

  28. Blake GM, Frost ML, Moore AE, Siddique M, Fogelman I. The Assessment of regional skeletal metabolism: studies of osteoporosis treatments using quantitative radionuclide imaging. J Clin Densitom. 2011;3(14):263–71.

    Article  Google Scholar 

  29. Moore AE, Blake GM, Taylor KA, Ruff VA, Rana AE, Wan XH, et al. (2012) Changes observed in radionuclide bone scan during and after teriparatide treatment for osteoporosis. Eur J Nucl Med Mol Imaging 39:326–336.

  30. Jassel IS, Siddique M, Frost ML, Moore AEB, Puri T, Blake GM. The influence of CT and dual-energy X-ray absorptiometry (DXA) bone density on quantitative [18F] sodium fluoride PET. Quant Imaging Med Surg. 2019;9:201–9.

    Article  Google Scholar 

  31. Blain H, Chavassieux P, Portero-Muzy N, et al. Cortical and trabecular bone distribution in the femoral neck in osteoporosis and osteoarthritis. Bone. 2008;43:862–8.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

We would like to thank Yexia Feng and Dalang Deng for the data collection. We also thank Fengwen Yu and Ming Yang for their excellent technical support.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yanlin Feng.

Ethics declarations

Conflict of interest

All authors declare that there is no conflict of interest that would prejudice their impartiality.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Huang, K., Feng, Y., Liu, D. et al. Quantification evaluation of 99mTc-MDP concentration in the lumbar spine with SPECT/CT: compare with bone mineral density. Ann Nucl Med 34, 136–143 (2020). https://doi.org/10.1007/s12149-019-01425-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12149-019-01425-x

Keywords

Navigation