| Literature DB >> 31666858 |
Mohamed Ali Ali Arakeeb1, Ahmed Abbas Zaky2, Tarek Abdel-Hamid Harhash2, Walid S Salem3, Mohamed El-Mofty4.
Abstract
BACKGROUND: The success of implants is associated first with their osseointegration, and later on with their survival rate. In recent years, many efforts have been exerted to develop implant design, geometry, materials and techniques to enhance the osseointegration process and also to increase the success rate of implant procedures. New techniques, like leukocyte and platelet-rich fibrin (L-PRF) and low-level laser treatment (LLLT), have been developed to enhance the osseointegration around dental implants. AIM: This study aims at accelerating bone osseointegration process around dental implant using new techniques to increase the success rate, to allow immediate or early loading of a dental implant, and to make a comparison between the various new techniques in dental implant procedures to figure out which technique will achieve the best results.Entities:
Keywords: Cone Beam Computed Tomography; Dental Implant; Diode Laser; Growth Factors; LLLT; PRF
Year: 2019 PMID: 31666858 PMCID: PMC6814472 DOI: 10.3889/oamjms.2019.672
Source DB: PubMed Journal: Open Access Maced J Med Sci ISSN: 1857-9655
Figure 1LLLT after implant insertion
Figure 2The venous blood was collected and centrifuged
Figure 3The formed L-PRF was cut into small pieces using scissors
Figure 4These small pieces of L-PRF were then placed inside the osteotomy site before the insertion of the fixture of the prepared implant
Figure 5The implant was then inserted into the osteotomy site
Figure 6Measuring the relative bone density around the simulated implants using the verification tool in OnDemand software
Figure 7Relative Bone Densities at different groups and times
Figure 8Efficiency of different treatment at 6 weeks
Figure 9Efficiency of different treatment at 12 weeks
The resultant data of the ANOVA test overall groups and measurement times
| ANOVA | ||||||
|---|---|---|---|---|---|---|
| Source of Variation | SS | df | MS | F | P-value | F crit |
| Rows | 10551.27 | 2 | 5275.63 | 9.975 | 0.012 | 5.143 |
| Columns | 171042.06 | 3 | 57014.02 | 107.795 | 0.000 | 4.757 |
| Error | 3173.47 | 6 | 528.91 | |||
| Total | 184766.79 | 11 |
P-Values of t-test
| Group A | |||
|---|---|---|---|
| 1 Week | 6 Weeks | 12 Weeks | |
| 1 Week | |||
| 6 Weeks | 1.48787E-05 | ||
| 12 Weeks | 1.26072E-08 | 1.90506E-07 | |
| Group B | |||
| 1 Week | 6 Weeks | 12 Weeks | |
| 1 Week | |||
| 6 Weeks | 1.98034E-06 | ||
| 12 Weeks | 8.0504E-09 | 2.75342E-08 | |
| Group C | |||
| 1 Week | 6 Weeks | 12 Weeks | |
| 1 Week | |||
| 6 Weeks | 1.13269E-06 | ||
| 12 Weeks | 1.41573E-06 | 3.56459E-06 | |
| Group D | |||
| 1 Week | 6 Weeks | 12 Weeks | |
| 1 Week | |||
| 6 Weeks | 1.8469E-08 | ||
| 12 Weeks | 2.49878E-10 | 5.706E-07 | |
P-Values of 6 weeks over different Groups
| 6 Weeks | A | B | C | D |
|---|---|---|---|---|
| A | ||||
| B | 0.81217 | |||
| C | 0.00413 | 0.0019 | ||
| D | 0.71282 | 0.9034 | 0.0166 | |
| 12 Weeks | A | B | C | D |
| A | ||||
| B | 0.5688 | |||
| C | 0.0022 | 0.0017 | ||
| D | 0.3938 | 0.8024 | 0.0211 | |
Correlation Factor between the L-PRF group and (L-PRF+LLLT) Group at 6 Weeks and 12 Weeks
| 6 Weeks | 12 Weeks | ||||
|---|---|---|---|---|---|
| C | D | C | D | ||
| C | 1 | C | 1 | ||
| D | -0.736209 | 1 | D | -0.778954 | 1 |