Medical Radiology and Radiation Safety. 2015. Vol. 60. No. 5. P. 46-49

DIAGNOSTIC RADIOLODGY

I.S. Zaharov1, G.I. Kolpinskij1, G.A. Ushakova1, E.S. Kagan2

Use Three-Dimensional Bone Densitometry in Predicting the Risk of Osteoporotic Vertebral Fractures in Postmenopausal Women

1. Kemerovo State Medical Academy, Kemerovo, Russia, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it. ; 2. Kemerovo State University, Kemerovo, Russia

ABSTRACT

Purpose: To develop a model for predicting osteoporotic vertebral fractures in women on the basis of three-dimensional bone densitometry.

Material and methods: The study included 282 women who are postmenopausal, 72 of which have suffered compression fractures of vertebral bodies. Three-dimensional densitometry II-IV of the lumbar vertebrae by quantitative computed tomography was carried out for all patients. Mineral density (BMD) of the trabecular and cortical bone, as well as, bilateral asymmetry indices BMD vertebral bodies were estimated. To process the results and create predictive models of fracture standard methods of binary logistic regression were used.

Results: Based on the results of three-dimensional bone densitometry the model of vertebral fractures in women prediction was developed. In the model developed the asymmetry index of trabecular bone BMD (p = 0.011) and then follow the leading indicators of trabecular bone BMD (p = 0.033), cortical bone BMD (p = 0.034) and the asymmetry index of cortical bone BMD (p = 0.044) are of the greatest significance. The area under the ROC-curve was 0.894 [0.855; 0.932], indicating that the ability to form highly predictive model. Final classification threshold was estimated as 0.371, and the sensitivity of the model - 77.8 %, specificity - 86.7 %. Based on the developed model, a low risk of vertebral fractures corresponds to the forecast probabilities was found below than 0.371, the average risk - predictive probability ranging from 0.371 to 0.5 and higher risk - higher 0.5.

ϼ/u>onclusion: The proposed method makes it possible to predict the probability of occurrence of osteoporotic fractures of the vertebrae with high confidence, which in turn could allow the timely prevention of this type of complications of osteoporosis.

Key words: osteoporosis, quantitative computed tomography, bone mineral density, binary logistic regression, prediction of fracture risk

REFERENCES

  1. Dhanwal D.K., Dennison E.M., Harvey N.C. et al. Epidemiology of hip fracture: worldwide geographic variation. Indian J. Orthop. 2011. Vol. 45. No. 1. P. 15-22.
  2. Zakharov I.S., Kolpinskii G.I., Ushakova G.A. et al. Rasprostranennost' osteopenicheskogo sindroma u zhenshchin v postmenopauze. Meditsina v Kuzbasse. 2014. Vol. XIII. No. 3. P. 32-36. (In Russ.).
  3. Benevolenskaya L.I. Rukovodstvo po osteoporozu. Moscow: BINOM. 2003. 524 p. (In Russ.).
  4. Kanis J.A., Oden A., Johansson H. et al. FRAX, a new tool for assessing fracture risk: clinical applications and intervention thresholds. Medicographia, 2010. Vol. 32. No. 1. P. 33-40.
  5. Nikitinskaya O.A., Toroptsova N.V. Otsenka riska perelomov s ispol'zovaniem modeli FRAX (retrospektivnoe desyatiletnee issledovanie). Al'manakh klin. meditsiny. 2014. No. 32. P. 50-55. (In Russ.).
  6. Tremollieres F.A., Pouilles J.M., Drewniak N. et al. Fracture risk prediction using BMD and clinical risk factors in early postmenopausal women: sensitivity of the WHO FRAX tool. JBMR. 2010. Vol. 25. No. 5. P. 1002-1009.
  7. Marshall D., Johnell O., Wedel H. Metaanalysis of how well measures of bone mineral density predict occurrence of osteoporotic fractures. Brit. Med. J. 1996. Vol. 312. P. 1254-1259.
  8. Nguyen T., Sambrook P., Kelly P. et al. Prediction of osteoporotic fractures by postural instability and bone density. Brit. Med. J. 1993. Vol. 307. P. 1111-1115.
  9. Siris E.S. Identification and fracture outcomes of undiagnosed low bone mineral density in postmenopausal women: results from the National Osteoporosis Risk Assessment. J. Amer. Med. Assoc. 2001. Vol. 286. No. 22. P. 2815-2822.
  10. Bansal S.C., Khandelwal N., Rai D.V. et al. Comparison between the QCT and the DEXA scanners in the evaluation of BMD in the lumbar spine. J. Clin. Diagn. Res. 2011. Vol. 5. No. 4. P. 694-699.
  11. Bauer J.S., Virmani S., Mueller D.K. Quantitative CT to assess BMD as a diagnostic tool for osteoporosis and related fractures. Medica Mundi. 2010. Vol. 54. No. 2. P. 31-37.
  12. ACR-SPR-SSR practice parameter for the performance of quantitative computed tomography (QCT) bone densitometry. Available at: http://www.acr.org/~/media/ACR/Documents/PGTS/guidelines/QCT.pdf. Res. 32-2013, Amended 2014 (Res. 39).
  13. Eidlina E.M., D'yachkova G.V., D'yachkov K.A. Sovremennaya luchevaya diagnostika patologicheskikh perelomov pozvonochnika na fone osteoporoza. Genii ortopedii. 2012. No. 2. P. 38-43. (In Russ.).
  14. Li N., Li X.M., Xu L. et al. Comparison of QCT and DXA: osteoporosis detection rates in postmenopausal women. Intern. J. Endocrin. 2013, Mar. 27. Available at: http://www.ncbi.nlm.nih.gov/pubmed/23606843.
  15. Abdrakhmanova Zh.S. Kostnaya densitometriya i komp'yuternaya tomografiya v otsenke porogovykh znachenii mineral'noi plotnosti tel pozvonkov kak faktora riska ikh perelomov. Tomsk: Avtoref. diss. kand. med. nauk. 2006. 19 p. (In Russ.).
  16. Khalafyan A.A. Sovremennye statisticheskie metody meditsinskikh issledovanii. Moscow: Lenand. 2014. 320 p. (In Russ.).
  17. Hanley J.A., McNeil B.J. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology. 1982. Vol. 143. No. 1. P. 29-36.

For citation: Zaharov IS, Kolpinskij GI, Ushakova GA, Kagan ES. Use Three-Dimensional Bone Densitometry in Predicting the Risk of Osteoporotic Vertebral Fractures in Postmenopausal Women. Medical Radiology and Radiation Safety. 2015;60(5):46-9. Russian.

PDF (RUS) Full-text article (in Russian)