Measurement of thoracic bone mineral density with quantitative CT.

PURPOSE To create standard thoracic bone mineral density (BMD) values for patients undergoing cardiac computed tomography (CT) by using thoracic quantitative CT and to compare these BMDs (in a subpopulation) with those obtained by using lumbar spine quantitative CT. MATERIALS AND METHODS The institutional review board approved this HIPAA-compliant study. A total of 9585 asymptomatic subjects (mean age, 56 years; age range, 30-90 years) who underwent coronary artery calcium scanning, including 4131 women, were examined. Patients with vertebral deformities or fractures were excluded. Six hundred forty-four subjects (322 of whom were female) also underwent lumbar quantitative CT. The mean thoracic vertebral BMDs for both sexes were reported separately in a subgroup of subjects aged 30 years and in 29 age-based subgroups in 2-year intervals from ages 30 to 90 years. The formulas used to calculate the female T score (T(f)) and the male T score (T(m)) on the basis of thoracic quantitative CT measurements were as follows: T(f) = (BMD(im) - 222)/36, and T(m) = (BMD(im) - 215)/33, where BMD(im) is the individual mean BMD. Comparisons between thoracic quantitative CT and lumbar quantitative CT measurements, as well as analyses of intraobserver, interobserver, and interscan variability, were performed. RESULTS The young-subgroup mean BMD was 221.9 mg/mL ± 36.2 (standard deviation) for the female subjects and 215.2 mg/mL ± 33.2 for the male subjects. The mean thoracic BMDs for the female and male subjects were found to be 20.7% higher and 17.0% higher, respectively, than the values measured with lumbar quantitative CT (P < .001 for both comparisons). A significant positive association between the thoracic and lumbar quantitative CT measurements (r > 0.85, P < .001) was found. Intraobserver, interobserver, and interscan variabilities in thoracic quantitative CT measurements were 2.5%, 2.6%, and 2.8%, respectively. CONCLUSION There was a significant association between the mean thoracic and lumbar BMDs. Therefore, standard derived measurements (young-subgroup BMD ± standard deviation) based on these data can be used with thoracic CT images to estimate the bone mineral status.

[1]  Daniel S Berman,et al.  Long-term prognosis associated with coronary calcification: observations from a registry of 25,253 patients. , 2007, Journal of the American College of Cardiology.

[2]  K Engelke,et al.  Significance of QCT Bone Mineral Density and Its Standard Deviation as Parameters to Evaluate Osteoporosis , 1995, Journal of computer assisted tomography.

[3]  Jonathan G Goldin,et al.  Assessment of Coronary Artery Disease by Cardiac Computed Tomography: A Scientific Statement From the American Heart Association Committee on Cardiovascular Imaging and Intervention, Council on Cardiovascular Radiology and Intervention, and Committee on Cardiac Imaging, Council on Clinical Cardiolog , 2006, Circulation.

[4]  Carl D Langefeld,et al.  Measurement of Trabecular Bone Mineral Density in the Thoracic Spine Using Cardiac Gated Quantitative Computed Tomography , 2004, Journal of computer assisted tomography.

[5]  Mark A. Hlatky,et al.  ACCF/AHA 2007 Clinical Expert Consensus Document on Coronary Artery Calcium Scoring By Computed Tomography in Global Cardiovascular Risk Assessment and in Evaluation of Patients With Chest Pain , 2007 .

[6]  H K Genant,et al.  Assessment of vertebral bone mineral density using volumetric quantitative CT. , 1999, Journal of computer assisted tomography.

[7]  E. Orwoll,et al.  Vertebral deformity in men , 1992, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[8]  H. Genant,et al.  Precise measurement of vertebral mineral content using computed tomography. , 1980, Journal of computer assisted tomography.

[9]  W. O'Fallon,et al.  Relative Contributions of Bone Density, Bone Turnover, and Clinical Risk Factors to Long‐Term Fracture Prediction , 2003, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[10]  M. Bouxsein,et al.  CHAPTER 2 – The Nature of Osteoporosis , 2008 .

[11]  D. Felsenberg,et al.  Number and Type of Vertebral Deformities: Epidemiological Characteristics and Relation to Back Pain and Height Loss , 1999, Osteoporosis International.

[12]  L. Labree,et al.  Validation of Thoracic Quantitative Computed Tomography as a Method to Measure Bone Mineral Density , 2004, Calcified Tissue International.

[13]  M. Budoff Maximizing dose reductions with cardiac CT , 2008, The International Journal of Cardiovascular Imaging.

[14]  S. Majumdar,et al.  Noninvasive assessment of bone mineral and structure: State of the art , 1996, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[15]  C C Glüer,et al.  Radiologic diagnosis of osteoporosis. Current methods and perspectives. , 1993, Radiologic clinics of North America.

[16]  S. H. Kan,et al.  Epidemiology of vertebral fractures in women. , 1989, American journal of epidemiology.

[17]  M. Jergas,et al.  Quantitative CT assessment of the lumbar spine and radius in patients with osteoporosis. , 1996, AJR. American journal of roentgenology.

[18]  Narayan Yoganandan,et al.  Bone Mineral Density of Human Female Cervical and Lumbar Spines From Quantitative Computed Tomography , 2006, Spine.

[19]  M. Laval-jeantet,et al.  [An experimental study to evaluate mineralization of vertebral bone by computerized tomography (author's transl)]. , 1979, Journal de radiologie.