Dental Implants
Conditions
Keywords
Photofunctionalization, Ultraviyolet Light, Dental implant
Brief summary
Bacground: Implant failure may necessitate the need for another surgical procedure to improve implant survival. Photofunctionalization with UV is a practice that can positively affect dental implant success and osseointegration. The aim of this study is to evaluate the effect of the photofunctionalization process on the bone quality around the implant. Methods: In the study, 42 implants were evaluated using the Fractal Analysis method from the panoramic radiographs taken before and after the implant. The analysis of the data was done with the SPSS 26 program and worked with a 95% confidence level. In the test group, there was a statistically significant difference between the 1st panoramic measurement and the 2nd panoramic measurement (p=0.044\<0.05) and the bone fractal score increased.
Detailed description
Bacground: Implant failure may necessitate the need for another surgical procedure to improve implant survival. Photofunctionalization with UV is a practice that can positively affect dental implant success and osseointegration. The aim of this study is to evaluate the effect of the photofunctionalization process on the bone quality around the implant. Methods: In the study, 42 implants were evaluated using the Fractal Analysis method from the panoramic radiographs taken before and after the implant. The analysis of the data was done with the SPSS 26 program and worked with a 95% confidence level. In the test group, there was a statistically significant difference between the 1st panoramic measurement and the 2nd panoramic measurement (p=0.044\<0.05) and the bone fractal score increased.
Interventions
Dental implants subjected to photofunctionalization were placed in the experimental area of the mouth.
Dental implants not subjected to photofunctionalization were placed in the bone on the contralateral side of the mouth
Sponsors
Study design
Intervention model description
Splith mouth
Eligibility
Inclusion criteria
* Being over the age of 18 * Having bilateral edentulous areas in the posterior mandibular region
Exclusion criteria
* Individuals with any systemic disease, * Individuals using drugs that affect bone metabolism, * Patients with findings that could affect the study results such as bone cysts, tumors, lesions or fractures
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Bone fractal analysis | 1 month | The bone fractal dimension (FB) values were determined by sizing the ROI to 25x25 pixels using the box counting method. The area of interest to be examined in the image was cropped and saved in 8-bit format. Different image processing methods were applied. For the fractal dimension calculation the box counting method was used. The number of squares containing trabeculae and the total number of squares in the image were determined for various pixel sizes. These values were plotted on a logarithmic scale, and the slope of the line that best fit the points on the graph determined the bone FB. |
Countries
Turkey (Türkiye)