Biomechanical Factors in the Prognosis of Implants: A Clinical Study
Abstract
:1. Introduction
2. Materials and Methods
3. Results
4. Discussion
- Measurement of peri-implant health: History of periodontal disease, bleeding on probing, increased probing depth, orthopantomography, and standardized intraoral periapical radiographs, among other parameters, have been employed to evaluate the levels of supporting bone around the implants [25,26,27,28].Additionally, it should be considered that emerging adjuvant preventive treatments such as Ozone [29] and photobiomodulation [30] can have a significant influence on the oral environment and they could also have an impact on the long-term prognosis of dental implants. Therefore, future studies are needed to mix biomechanical considerations with biological variables and preventive treatments to obtain a complete overview.
- Measurement of mesial and distal bone loss: Clinically, an increase in the probing depth of the peri-implant pockets, both mesial and distal, was recorded using a calibrated probe with a force of 0.25 N. Radiographically, mesial and distal peri-implant bone height loss was measured using properly performed radiological projections. In fewer than five patients, statistically significant findings in cases of bone loss were difficult to achieve.
- Measurement of the mesial and distal cantilever: The mesial cantilever was significantly greater for the bilateral bone loss group (1833.5 ± 1531.4 µm) compared to the group without MBL (1029.5 ± 968.6 µm) (F = 2.77; p < 0.05). Concerning the effect of the mesial versus distal cantilever, although the mesial cantilever appears to be more favorable, the only article found in the literature regarding this finding is a study by Romeo et al. (2003), which showed that this effect is not always consistent, although the difference is minimal [31].
- Measurement of occlusal load using the PRESCALE® (Fujifilm, Japan) is the standard parameter to objectively evaluate masticatory function. This system is supported by several publications as it is reproducible, accurate, objective, internationally scientifically validated, easy to use, and does not increase the vertical dimension [32,33,34,35,36]. While it may not reveal the sequence and timing of dental contact, making it difficult to identify each individual tooth, PRESCALE® effectively integrated the occlusal analysis and provided the required information for this study. In this clinical study, it is evident that there is a higher occlusal load in the left anterior region, and there is a linear association between this load and MBL (r = 0.47; p < 0.01).
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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NO MBL (n = 5 Patients with a Total of 19 Implants) | UNILATERAL MBL (n = 10 Patients with a Total of 30 Implants) | BILATERAL MBL (n = 26 Patients with a Total of 86 Implants) | p-Value | ||||
---|---|---|---|---|---|---|---|
Clinical Profile | Mean | SD | Mean | SD | Mean | SD | |
Mesial cantilever (µm) | 1029.5 | 968.6 | 1521.0 | 1149.4 | 1833.5 | 1531.4 | F = 2.77; p < 0.05 |
Distal cantilever (µm) | 1645.8 | 1341.5 | 1592.7 | 2148.9 | 1483.1 | 1563.9 | F = 0.09; p = 0.90 |
Implant diameter (mm) | 3.80 | 0.5 | 3.90 | 0.5 | 3.8 | 0.4 | F = 0.16; p = 0.85 |
Implant length (mm) | 10.0 | 1.2 | 10.7 | 1.4 | 10.6 | 1.7 | F = 1.33; p = 0.268 |
Follow-up (months) | 45.1 | 18.8 | 45.1 | 19.6 | 48.9 | 22.0 | F = 0.50; p = 0.60 |
CLINICAL VARIABLES (Implant-Related) | MBL (p-Value) |
---|---|
Implant diameter | r = 0.27 (p = 0.001) |
Implant length | r = 0.20 (p = 0.021) |
Follow-up time | r = 0.29 (p = 0.001) |
Occlusal load in the anterior region | r = 0.47 (p = 0.002) |
NO MBL (n = 5 with 19 Implants) | UNILATERAL MBL (n = 10 Patients with 30 Implants) | BILATERAL MBL (n = 26 Patients with 86 Implants) | COMPARISON p-Value | ||||
---|---|---|---|---|---|---|---|
CLINICAL VARIABLES | n | % | n | % | n | % | % |
Periodontal disease | 1 | 20.0 | 1 | 10.0 | 4 | 15.4 | χ2 = 0.30; p = 0.861 |
Diabetes | 0 | 0 | 0 | 0 | 2 | 7.7 | χ2 = 1.21; p = 0.545 |
Other diseases | 1 | 20.0 | 0 | 0 | 4 | 15.4 | χ2 = 1.92; p = 0.383 |
SYMPTOMS | n | % | n | % | n | % | |
Asymptomatic | 19 | 100.0 | 30 | 100.0 | 84 | 97.7 | χ2 = 1.16; p = 0.56 |
Symptomatic | 0 | 0.0 | 0 | 0.0 | 2 | 2.3 | |
BEHAVIORAL VARIABLE | n | % | n | % | n | % | |
Regular maintenance visits | 5 | 100.0 | 9 | 90.0 | 20 | 76.9 | χ2 = 2.04; p = 0.36 |
PLAQUE INDEX | n | % | n | % | n | % | |
No plaque | 8 | 42.1 | 12 | 40.0 | 34 | 39.5 | χ2 = 5.18; p = 0.52 |
1/3 plaque | 8 | 42.1 | 15 | 50.0 | 33 | 38.4 | |
2/3 plaque | 2 | 10.5 | 1 | 3.3 | 16 | 18.6 | |
>2/3 plaque | 1 | 5.3 | 2 | 6.7 | 3 | 3.5 | |
BLEEDING ON PROBING | n | % | n | % | n | % | |
No | 12 | 63.2 | 18 | 60.0 | 47 | 54.7 | χ2 = 0.60; p = 0.74 |
Yes | 7 | 36.8 | 12 | 40.0 | 39 | 45.3 |
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Ceresuela, P.; Montero, J. Biomechanical Factors in the Prognosis of Implants: A Clinical Study. Prosthesis 2024, 6, 896-912. https://doi.org/10.3390/prosthesis6040065
Ceresuela P, Montero J. Biomechanical Factors in the Prognosis of Implants: A Clinical Study. Prosthesis. 2024; 6(4):896-912. https://doi.org/10.3390/prosthesis6040065
Chicago/Turabian StyleCeresuela, Paola, and Javier Montero. 2024. "Biomechanical Factors in the Prognosis of Implants: A Clinical Study" Prosthesis 6, no. 4: 896-912. https://doi.org/10.3390/prosthesis6040065
APA StyleCeresuela, P., & Montero, J. (2024). Biomechanical Factors in the Prognosis of Implants: A Clinical Study. Prosthesis, 6(4), 896-912. https://doi.org/10.3390/prosthesis6040065