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.
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.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
NONE
Enrollment
21
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
Ankara University, Faculty of Dentistry
Ankara, Yenimahalle, Turkey (Türkiye)
Bone fractal analysis
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.
Time frame: 1 month
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