Osteoporosis Screening Using Areal Bone Mineral Density Estimation from Diagnostic CT Images

Academic Radiology

Volumn 19, Issue 10, 2012, Pages 1273-1282

  Tay, Wei Liang ^a   Chui, Chee Kong ^a   Ong, Sim Heng ^a   Ng, Alvin Choong Meng ^b  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b SINGAPORE GENERAL HOSPITAL   (Singapore)

Author keywords

Areal bone mineral density; Diagnostic CT; DXA; Lumbar spine; Osteopenia screening

Indexed keywords

ACCURACY; ADULT; AGED; ARTICLE; BONE DENSITY; CLINICAL ARTICLE; COMPUTED TOMOGRAPHY SCANNER; COMPUTER ASSISTED TOMOGRAPHY; DUAL ENERGY X RAY ABSORPTIOMETRY; HUMAN; LUMBAR SPINE; MALE; OSTEOPENIA; OSTEOPOROSIS; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; SCREENING; TRABECULAR BONE;

ABSORPTIOMETRY, PHOTON; AGED; AGED, 80 AND OVER; ALGORITHMS; BONE DENSITY; HUMANS; LUMBAR VERTEBRAE; MALE; MIDDLE AGED; OSTEOPOROSIS; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84865775239     PISSN: 10766332     EISSN: 18784046     Source Type: Journal    
DOI: 10.1016/j.acra.2012.05.017     Document Type: Article

References (32)

1. Consensus development conference: diagnosis, prophylaxis, and treatment of osteoporosis. Am J Med 1993, 94:646-650.
2. Osteoporosis prevention, diagnosis, and therapy. JAMA 2001, 285:785-795. NIH Consensus Development Panel on Osteoporosis Prevention, Diagnosis, and Therapy.
3. Revilla M., Cardenas J.L., Hernndez E.R., et al. Correlation of total-body bone mineral content determined by dual-energy x-ray absorptiometry with bone mineral density determined by peripheral quantitative computed tomography. Acad Radiol 1995, 2:1062-1066.
4. Schreiber J., Anderson P., Humberto G., et al. Hounsfield units for assessing bone mineral density and strength: a tool for osteoporosis management. J Bone Joint Surg 2011, 93:1057-1063.
5. Boden S., Goodenough D., Stockham C., et al. Precise measurement of vertebral bone density using computed tomography without the use of an external reference phantom. J Digit Imaging 1989, 2:31-38.
6. Link T., Koppers B., Licht T., et al. In vitro and in vivo spiral CT to determine bone mineral density: initial experience in patients at risk for osteoporosis. Radiology 2004, 231:805-811.
7. Teoh S., Chui C. Bone material properties and fracture analysis: needle insertion for spinal surgery. J Mech Behav Biomed Mater 2008, 1:115-139.
8. Rho J., Hobatho M., Ashman R. Relations of mechanical properties to density and CT numbers in human bone. Med Eng Phys 1995, 17:347-355.
9. Baum T., Carballido-Gamio J., Huber M., et al. Automated 3D trabecular bone structure analysis of the proximal femur-prediction of biomechanical strength by CT and DXA. Osteoporos Int 2010, 21:1553-1564.
10. Bauer J., Henning T., Mueller D., et al. Volumetric quantitative CT of the spine and hip derived from contrast-enhanced MDCT: conversion factors. AJR Am J Roentgenol 2007, 188:1294-1301.
11. Habashy A.H., Yan X., Brown J.K., et al. Estimation of bone mineral density in children from diagnostic CT images: a comparison of methods with and without an internal calibration standard. Bone 2011, 48:1087-1094.
12. Pickhardt P., Lee L., del Rio A., et al. Simultaneous screening for osteoporosis at CT colonography: bone mineral density assessment using MDCT attenuation techniques compared against the DXA reference standard. J Bone Miner Res 2011, 26:2194-2203.
13. Gudmundsdottir H., Jonsdottir B., Kristinsson S., et al. Vertebral bone density in Icelandic women using quantitative computed tomography without an external reference phantom. Osteoporos Int 1993, 3:84-89.
14. Mueller D., Kutscherenko A., Bartel H., et al. Phantom-less QCT BMD system as screening tool for osteoporosis without additional radiation. Eur J Radiol 2010, 79:375-381.
15. Hui S., Weir V., Brown K., et al. Assessing the clinical utility of quantitative computed tomography with a routinely used diagnostic computed tomography scanner in a cancer center. J Clin Densitom 2011, 14:41-46.
16. Li W., Kornak J., Harris T., et al. Identify fracture-critical regions inside the proximal femur using statistical parametric mapping. Bone 2009, 44:596-602.
17. Valentinitsch A., Patsch J., Mueller D., et al. Texture analysis in quantitative osteoporosis assessment: characterizing microarchitecture. Biomedical Imaging: From Nano to Macro: 2010 IEEE International Symposium 2010, 1361-1364. IEEE, Piscataway, NJ.
18. Tay W-L, Chui C-K, Ong S-H, et al. Detection of osteopenia from routine CT images. Presented at: 7th Asian Conference on Computer-Aided Surgery; Bangkok, Thailand; August 26-27, 2011.
19. Lewiecki E., Watts N. Assessing response to osteoporosis therapy. Osteoporos Int 2008, 19:1363-1368.
20. Lotz J., Cheal E., Hayes W. Fracture prediction for the proximal femur using finite element models: part I-linear analysis. J Biomech Eng 1991, 113:353.
21. Marshall D., Johnell O., Wedel H. Meta-analysis of how well measures of bone mineral density predict occurrence of osteoporotic fractures. BMJ 1996, 312:1254.
22. Assessment of Fracture Risk and Its Application to Screening for Postmenopausal Osteoporosis 1994, World Health Organization, World Health Organization, Geneva, Switzerland.
23. Boykov Y., Veksler O. Graph cuts in vision and graphics: theories and applications. Handbook of Mathematical Models in Computer Vision 2006, 79-96. Springer-Verlag, Berlin, Germany.
24. Li Y., Sun J., Tang C., et al. Lazy snapping. ACM Trans Graph 2004, 23:303-308.
25. Reynolds D. Gaussian mixture models. Encyclopedia of Biometric Recognition 2008, Springer-Verlag, New York. S.Z. Li (Ed.).
26. Hounsfield G. Computed medical imaging. Med Phys 1980, 7:283.
27. Fischler M., Bolles R. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Comm ACM 1981, 24:381-395.
28. Zweig M., Campbell G. Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. Clin Chem 1993, 39:561-577.
29. Faulkner K.G., Orwoll E. Implications in the use of T-scores for the diagnosis of osteoporosis in men. J Clin Densitom 2002, 5:87-93.
30. Zhang J., Yan C., Chui C., et al. Accurate measurement of bone mineral density using clinical CT imaging with single energy beam spectral intensity correction. IEEE Trans Med Imaging 2010, 29:1382-1389.
31. Svendsen O., Hassager C., Skødt V., et al. Impact of soft tissue on in vivo accuracy of bone mineral measurements in the spine, hip, and forearm: a human cadaver study. J Bone Miner Res 1995, 10:868-873.
32. Carrino J., Ohno-Machado L. Development of radiology prediction models using feature analysis. Acad Radiol 2005, 12:415-421.