Morphometric bone assessment of men and women in different age range by cone beam computerized tomography
Keywords:Bone density; Cone beam computed tomography; Anatomy; Diagnóstico.
Osteoporosis corresponds to a decrease in bone mass and micro-architectural deterioration of bone tissue, causing bone fragility and risk of fractures. Although osteoporosis is four times more common in women than in men, they tend to have more complications with a higher risk of mortality after hip fracture. The silent nature of osteoporosis causes delays in early diagnosis, compromising adequate treatment. The objective was to evaluate bone morphometry and correlate morphometric indices between men and women, and between women of different age groups. The sample was divided into: men aged 65 to 75 years (A); women from 45 to 55 years (B1); women from 56 to 65 years (B2) and women from 66 to 75 years (B3). The morphometric indices Computed Tomography Cortical Index (CTCI), the Computerized Tomography Mental Index (MI), the Upper Mandibular Computerized Tomography Index (MCTI-U) and the Lower Mandibular Computed Tomography Index (MCTI-L) were analyzed by through the OnDemand3D software. There were significant differences between the different groups in MI, MCTI-L and MCTI-U and a high correlation between the indices. There was no difference in CTCI when used alone. There are differences in the bone structure of men and women, and between women of different age groups, and the quantitative and qualitative indices can be a useful tool in detecting patients with low bone density when used together for subsequent referral for bone densitometry and specialized medical treatment.
Adler R. A. (2014). Osteoporosis in men: a review. Bone research, 2, 14001. https://doi.org/10.1038/boneres.2014.1
Alonso, M. B., Vasconcelos, T. V., Lopes, L. J., Watanabe, P. C., & Freitas, D. Q. (2016). Validation of cone-beam computed tomography as a predictor of osteoporosis using the Klemetti classification. Brazilian oral research, 30(1), S1806-83242016000100263. https://doi.org/10.1590/1807-3107BOR-2016.vol30.0073
Alswat K. A. (2017). Gender Disparities in Osteoporosis. Journal of clinical medicine research, 9(5), 382–387. https://doi.org/10.14740/jocmr2970w
Aziziyeh, R., Amin, M., Habib, M., Garcia Perlaza, J., Szafranski, K., McTavish, R. K., Disher, T., Lüdke, A., & Cameron, C. (2019). The burden of osteoporosis in four Latin American countries: Brazil, Mexico, Colombia, and Argentina. Journal of medical economics, 22(7), 638–644. https://doi.org/10.1080/13696998.2019.1590843
Brasileiro, C. B., Chalub, L., Abreu, M., Barreiros, I. D., Amaral, T., Kakehasi, A. M., & Mesquita, R. A. (2017). Use of cone beam computed tomography in identifying postmenopausal women with osteoporosis. Archives of osteoporosis, 12(1), 26. https://doi.org/10.1007/s11657-017-0314-7
Corazza, P. F. L., Baeder, F. M., Silva, D. F., Albuquerque, A. C. L. de, Silva, J. V. L., Junqueira, J. L. C., & Panzarella, F. K. (2020). Accuracy assessment of different CBCT acquisition protocols used in rapid prototyping models. Research, Society and Development, 9(11), e2649119842. https://doi.org/10.33448/rsd-v9i11.9842
Geibel, M. A., Löffler, F., & Kildal, D. (2016). Osteoporoseerkennung mittels digitaler Volumentomographie [Osteoporosis detection using cone-beam computed tomography]. Der Orthopade, 45(12), 1066–1071. https://doi.org/10.1007/s00132-016-3340-z
Goyushov, S., Dursun, E., & Tözüm, T. F. (2020). Mandibular cortical indices and their relation to gender and age in the cone-beam computed tomography. Dento maxillo facial radiology, 49(3), 20190210. https://doi.org/10.1259/dmfr.20190210
Guerra, E., Almeida, F. T., Bezerra, F. V., Figueiredo, P., Silva, M., De Luca Canto, G., Pachêco-Pereira, C., & Leite, A. F. (2017). Capability of CBCT to identify patients with low bone mineral density: a systematic review. Dento maxillo facial radiology, 46(8), 20160475. https://doi.org/10.1259/dmfr.20160475
Güngör, E., Yildirim, D., & Çevik, R. (2016). Evaluation of osteoporosis in jaw bones using cone beam CT and dual-energy X-ray absorptiometry. Journal of oral science, 58(2), 185–194. https://doi.org/10.2334/josnusd.15-0609
Haas, L. F., Dutra, K., Porporatti, A. L., Mezzomo, L. A., De Luca Canto, G., Flores-Mir, C., & Corrêa, M. (2016). Anatomical variations of mandibular canal detected by panoramic radiography and CT: a systematic review and meta-analysis. Dento maxillo facial radiology, 45(2), 20150310. https://doi.org/10.1259/dmfr.20150310
Ito M. (2011). Recent progress in bone imaging for osteoporosis research. Journal of bone and mineral metabolism, 29(2), 131–140. https://doi.org/10.1007/s00774-010-0258-0
Kim, O. S., Shin, M. H., Song, I. H., Lim, I. G., Yoon, S. J., Kim, O. J., Lee, Y. H., Kim, Y. J., & Chung, H. J. (2016). Digital panoramic radiographs are useful for diagnosis of osteoporosis in Korean postmenopausal women. Gerodontology, 33(2), 185–192. https://doi.org/10.1111/ger.12134
Koh, K. J., & Kim, K. A. (2011). Utility of the computed tomography indices on cone beam computed tomography images in the diagnosis of osteoporosis in women. Imaging science in dentistry, 41(3), 101–106. https://doi.org/10.5624/isd.2011.41.3.101
Klemetti, E., Kolmakov, S., & Kröger, H. (1994). Pantomography in assessment of the osteoporosis risk group. Scandinavian journal of dental research, 102(1), 68–72. https://doi.org/10.1111/j.1600-0722.1994.tb01156.x
Marques, L. M., Costa, A. L. F., Baeder, F. M., Corazza, P. F. L., Silva, D. F., Albuquerque, A. C. L. de, Junqueira, J. L. C., & Panzarella, F. K. (2021). Digital image filters are not necessarily related to improvement in diagnostic of degenerative bone changes in the temporomandibular joint on cone beam computed tomography . Research, Society and Development, 10(4), e44010414296. https://doi.org/10.33448/rsd-v10i4.14296
Mizukuchi, T., Naitoh, M., Hishikawa, T., Nishida, S., Mitani, A., Ariji, E., & Koyama, S. (2020). Automatic measurement of mandibular cortical bone width on cone-beam computed tomography images. Oral radiology, 10.1007/s11282-020-00469-4. Advance online publication. https://doi.org/10.1007/s11282-020-00469-4
Mostafa, R. A., Arnout, E. A., & Abo El-Fotouh, M. M. (2016). Feasibility of cone beam computed tomography radiomorphometric analysis and fractal dimension in assessment of postmenopausal osteoporosis in correlation with dual X-ray absorptiometry. Dento maxillo facial radiology, 45(7), 20160212. https://doi.org/10.1259/dmfr.20160212
Pêgo, M. de M. F., Corazza, P. F. L., Baeder, F. M., Silva, D.F., Albuquerque, A. C. L. de, Junqueira, J. L. C., & Panzarella, F. K. (2021). Development of the teeth, cervical vertebrae, hand and wrist combined for the estimation of the biological age. Research, Society and Development, 10(3), e8510312948. https://doi.org/10.33448/rsd-v10i3.12948
Singh, S. V., Aggarwal, H., Gupta, V., Kumar, P., & Tripathi, A. (2016). Measurements in Mandibular Pantomographic X-rays and Relation to Skeletal Mineral Densitometric Values. Journal of clinical densitometry : the official journal of the International Society for Clinical Densitometry, 19(2), 255–261. https://doi.org/10.1016/j.jocd.2015.03.004
Shokri, A., Ghanbari, M., Maleki, F. H., Ramezani, L., Amini, P., & Tapak, L. (2019). Relationship of gray values in cone beam computed tomography and bone mineral density obtained by dual energy X-ray absorptiometry. Oral surgery, oral medicine, oral pathology and oral radiology, 128(3), 319–331. https://doi.org/10.1016/j.oooo.2019.04.017
Syed, F. A., & Ng, A. C. (2010). The pathophysiology of the aging skeleton. Current osteoporosis reports, 8(4), 235–240. https://doi.org/10.1007/s11914-010-0035-y
Taguchi, A., Tanaka, R., Kakimoto, N., Morimoto, Y., Arai, Y., Hayashi, T., Kurabayashi, T., Katsumata, A., Asaumi, J., & Japanese Society for Oral and Maxillofacial Radiology (2021). Clinical guidelines for the application of panoramic radiographs in screening for osteoporosis. Oral radiology, 37(2), 189–208. https://doi.org/10.1007/s11282-021-00518-6
Tanaka, R., Tanaka, T., Yeung, A., Taguchi, A., Katsumata, A., & Bornstein, M. M. (2020). Mandibular Radiomorphometric Indices and Tooth Loss as Predictors for the Risk of Osteoporosis using Panoramic Radiographs. Oral health & preventive dentistry, 18(1), 773–782. https://doi.org/10.3290/j.ohpd.a45081
Yousefi, F., Shokri, A., Farhadian, M., Vafaei, F., & Forutan, F. (2021). Accuracy of maxillofacial prototypes fabricated by different 3-dimensional printing technologies using multi-slice and cone-beam computed tomography. Imaging science in dentistry, 51(1), 41–47. https://doi.org/10.5624/isd.20200175
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Copyright (c) 2021 Kelmara Arruda Pinho; Paola Fernanda Leal Corazza; Fernando Martins Baeder; Daniel Furtado Silva; Ana Carolina Lyra de Albuquerque; Luiz Roberto Coutinho Manhães Júnior; José Luiz Cintra Junqueira; Francine Kühl Panzarella
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