Preventing Bad Breaks

References

1. Praemer, A., Furner, S., & Rice, D.P. (1992). Musculoskeletal conditions in the United States. Park Ridge: American Academy of Orthopaedic Surgeons.
2. Burge, R., Dawson-Hughes, B., Solomon, D.H., Wong, J.B., et al. (2007). Incidence and economic burden of osteoporosis-related fractures in the United States, 2005-25. J Bone Miner Res, 22(3), 465-75.
3. Pande, I., Scott, D.L., O'Neill, T.W., Pritchard, C., et al. (2006). Quality of life, morbidity, and mortality after low trauma hip fracture in men. Ann Rheum Dis, 65(1), 87-92.
4. WHO (1994) Technical Report: Assessment of fracture risk and its application to screening for postmenopausal osteoporosis: A report of a WHO study group. World Health Organization, Geneva, Switzerland.
5. Wagner, S., Stäbler, A., Sittek, H., Bonel, H., et al. (2005). Diagnosis of osteoporosis: Visual assessment of conventional and digital radiography in comparison with dual X-ray absorptiometry (DEXA) of the lumbar spine. Osteoporos Int, 16(12), 1815-22.
6. Chen, J., Zheng, B., Chang, Y.H., Shaw, C.C., et al. (1994). Fractal analysis of trabecular patterns in projection radiographs. An assessment. Invest Radiol, 29(6), 624-9.
7. Veenland, J.F., Grashuis, J.L., Gelsema, E.S., Beckers, A.L.D., et al. (1994). Texture analysis of trabecular bone in radiographs to detect osteoporosis. Symposium for Computer Assisted Radiology, 77-82.
8. Buckland-Wright, J.C., Lynch, J., Rymer, J., Fogelman, I., et al. (1994). Fractal signature analysis of macroradiographs measures trabecular organization in lumbar vertebrae of postmenopausal women. Calcif Tissue Int, 54(2), 106-12.
9. Millard, J., Augat, P., Link, T.M., Kothari, M., et al. (1998). Power spectral analysis of trabecular bone structure from radiographs: Correlation with bone mineral density and biomechanics. Calcif Tissue Int, 63(6), 482-9.
10. Boehm, H.F., Lutz, J., Körner, M., Mutschler, W., et al. (2009). Using Radon transform of standard radiographs of the hip to differentiate between post-menopausal women with and without fracture of the proximal femur. Osteoporos Int, 20(2), 323-33.
11. Link, T.M., & Majumdar, S. (2003). Osteoporosis imaging. Radiologic Clinics of North America, 41(4), 813-39.
12. McBroom, R., Hayes, W., Edwards, W., Goldberg, R.P., et al. (1985). Prediction of vertebral body compressive fracture using quantitative computed tomography. J Bone Joint Surg, 67(8), 1206-14.
13. Mosekilde, L., & Danielson, C.C. (1987). Biomechanical competence of vertebral trabecular bone in relation to ash density and age in normal individuals. Bone, 8(2), 79-85.
14. Cortet, B., & Marchandise, X. (2001). Bone microarchitecture and mechanical resistance. Joint Bone Spine, 68(7), 297-305.
15. Bergot, C., Bousson, V., Meunier, A., et al. (2002). Hip fracture risk and proximal femur geometry from DXA scans. Osteoporos Int, 13(7), 542-50.
16. El-Kaissi, S., Pasco, J.A., Henry, M.J., Panahi, S., et al. (2005). Femoral neck geometry and hip fracture risk: the Geelong osteoporosis study. Osteoporos Int, 16(10), 1299-303.
17. Boehm, H.F., Horng, A., Notohamiprodjo, M., et al. (2008). Prediction of the fracture load of whole proximal femur specimens by topological analysis of the mineral distribution in DXA-scan images. Bone, 43(5), 826-31.
18. Boehm, H.F., Lutz, J., Horng, A., Notohamiprodjo, N., et al. (2008). Local topological analysis of densitometer-generated scan images of the proximal femur for differentiation between patients with hip fracture and age-matched controls. Osteoporos Int [doi: 10.1007/s00198-008-0706-z].
19. Lang, T., Li, J., Harris, S.T., et al. (1999). Assessment of vertebral bone mineral density using volumetric quantitative CT. J Comput Assist Tomogr, 23(1), 130-7.
20. Felsenberg, D., & Gowin, W. (1999). Knochendichtemessung mit Zwei-Spektren-Methoden [article in German]. Radiologe, 39(3), 186-93.
21. Njeh, C., Boivin, C., & Langton, C. (1997). The role of ultrasound in the assessment of osteoporosis: A review. Osteoporos Int, 7(1), 7-22.
22. Njeh, C., Richards, A., Boivin, C., Hans, D., et al. (1999). Factors influencing the speed of sound through the proximal phalanges. J Clin Densitom, 2(3), 241-9.
23. Njeh, C., Saeed, I., & Grigorian, M. (2001). Assessment of bone status using speed of sound at multiple anatomical sites. Ultrasound Med Biol, 27(10), 1337-45.
24. Fogelman, I., & Blake, G. (2000). Different approaches to bone densitometry. J Nucl Med, 41(12), 2015-25.
25. Bauer, D., Gluer, C., & Genant, H. (1995). Quantitative ultrasound and vertebral fracture in postmenopausal women: Fracture Intervention Trial Research Group. J Bone Miner Res, 10(3), 353-8.
26. Hernandez, C.J., & Keaveny, T.M. (2006). A biomechanical perspective on bone quality. Bone, 39(6), 1173-81.
27. Bauer, J.S., Monetti, R., Krug, R., et al. (2009). Advances of 3T MR imaging in visualizing trabecular bone structure of the calcaneus are partially SNR-independent: analysis using simulated noise in relation to micro-CT, 1.5T MRI, and biomechanical strength. J Magn Reson Imaging, 29(1), 132-40.
28. Mueller, D., Link, T.M., Monetti, R., Bauer, J., et al. (2006). The 3D-based scaling index algorithm: A new structure measure to analyze trabecular bone architecture in high-resolution MRimages in vivo. Osteoporos Int, 17(10), 1483-93.
29. Bauer, J.S., Kohlmann, S., Eckstein, F., Mueller, D., et al. (2006). Structural analysis of trabecular bone of the proximal femur using multislice computed tomography: A comparison with dual X-ray absorptiometry for predicting biomechanical strength in vitro. Calcif Tissue Int 78(2), 78-89.