Bone Diseases, Metabolic

Displaying 1 - 7 of 7CSV
Sawada, K. M., de Moraes, N. S., Araújo, L. M. Q., Gazoni, F. M., Lazaretti-Castro, M., Cendoroglo, M. S., Bilezikian, J. P., Figueiredo, M. S., & dos Santos, F. C. (2024). Blood concentrations of α-Klotho and FGF-23 exhibit no correlation with bone mineral density in elderly individuals. Einstein (São Paulo), 22. https://doi.org/10.31744/einstein_journal/2024ao0412
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Lewiecki, E. M., Bellido, T., Bilezikian, J. P., Brown, J. P., Farooki, A., Kovacs, C. S., Lee, B., Leslie, W. D., McClung, M. R., Prasarn, M. L., & Sellmeyer, D. E. (2023). Proceedings of the 2023 Santa Fe Bone Symposium: Progress and Controversies in the Management of Patients with Skeletal Diseases. Journal of Clinical Densitometry, 26(4), 101432. https://doi.org/10.1016/j.jocd.2023.101432
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Heilbronner, A. K., Koff, M. F., Breighner, R., Kim, H. J., Cunningham, M., Lebl, D. R., Dash, A., Clare, S., Blumberg, O., Zaworski, C., McMahon, D. J., Nieves, J. W., & Stein, E. M. (2023). Opportunistic Evaluation of Trabecular Bone Texture by MRI Reflects Bone Mineral Density and Microarchitecture. The Journal of Clinical Endocrinology & Metabolism, 108(8), e557–e566. https://doi.org/10.1210/clinem/dgad082
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Shen, Y., Sardar, Z. M., Chase, H., Coury, J. R., Cerpa, M., & Lenke, L. G. (2022). Predicting Bone Health using Machine Learning in Patients undergoing Spinal Reconstruction Surgery. Spine. https://doi.org/10.1097/brs.0000000000004511
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Lewiecki, E. M., Bilezikian, J. P., Binkley, N., Bouxsein, M. L., Bukata, S. V., Dempster, D. W., Drake, M. T., McClung, M. R., Miller, P. D., Rosenthal, E., & Tosi, L. L. (2022). Proceedings of the 2022 Santa Fe Bone Symposium: Current Concepts in the Care of Patients with Osteoporosis and Metabolic Bone Diseases. Journal of Clinical Densitometry, 25(4), 649–667. https://doi.org/10.1016/j.jocd.2022.10.002
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