2019
DOI: 10.1007/s10856-019-6291-1
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Crestal module design optimization of dental implants: finite element analysis and in vivo studies

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Cited by 17 publications
(10 citation statements)
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“…Nevertheless, only a few studies to date were able to apply and compare the predictions that can be derived by simulating the tissues of the human body. Dávila et al [14] reported the stress generated at the marginal bone using 3D FEA models with varying implant neck design and analyzed how such predictions compared to in vivo animal studies by placing the implants with the different designs in New Zealand rabbits.…”
Section: Discussionmentioning
confidence: 99%
“…Nevertheless, only a few studies to date were able to apply and compare the predictions that can be derived by simulating the tissues of the human body. Dávila et al [14] reported the stress generated at the marginal bone using 3D FEA models with varying implant neck design and analyzed how such predictions compared to in vivo animal studies by placing the implants with the different designs in New Zealand rabbits.…”
Section: Discussionmentioning
confidence: 99%
“…In addition, the development of mathematical models to study bone mechanoregulatory processes helps to predict changes in bone morphology and density based on various mechanical stimuli [30]. Numerical simulations were compared with in vivo studies to indirectly correlate the stress level with apposed/reabsorbed bone tissue [31][32][33]. Some researchers, moving from the peri-implant density distribution, made an estimation of the bone remodelled tissue [34,35] and, in a recent study, only of internal bone remodelling, i.e., the change in the microstructure and density was taken into account as a remodelling process [36].…”
Section: Introductionmentioning
confidence: 99%
“…The macro design of a dental implant is made up of different features that could influence the primary stability. Therefore, the shape of the thread, the type of implant body, and even the shoulder design have been studied [21][22][23].…”
Section: Introductionmentioning
confidence: 99%