Background: The aim of this study was to apply texture analysis (TA) to cone-beam computed tomography (CBCT) scans of patients with grade C periodontitis for detection of non-visible changes in the image. Methods: TA was performed on CBCT scans of 34 patients with grade C periodontitis. Axial sections of CBCT were divided into three groups as follows: Group L (lesion) in which there is a furcal lesion with periodontal bone loss; Group I (intermediate) in which the border of the furcal lesion has normal characteristics; and Group C (control) in which the area is healthy. Eleven texture parameters were extracted from the region of interest. Mann-Whitney U test was used to assess the differences in the texture between the three groups as follows: L versus I; L versus C, and I versus C. Results: Statistically significant differences (P <0.05) were observed in almost all parameters in the intergroup analyses (i.e., L versus I and L versus C). However, statistical differences were smaller in groups I versus C in which only entropy of sum, entropy of difference, mean of sum, and variance of difference were statistically different (P < 0.05). Conclusion: TA can potentially provide prognostic information to improve the diagnostic accuracy in the grading of the tissue around the furcal lesion, thus potentially accelerating the treatment decision-making process.
|Number of pages||8|
|Journal||Journal of Periodontology|
|State||Published - Sep 1 2020|
Bibliographical noteFunding Information:
This study was supported by FAPESP (São Paulo Research Foundation) (grants 2018/17850‐0 and 2017/09550‐4). The authors report no conflicts of interest related to this study.
This study was supported by FAPESP (S?o Paulo Research Foundation) (grants 2018/17850-0 and 2017/09550-4). The authors report no conflicts of interest related to this study.
© 2020 American Academy of Periodontology
- aggressive periodontitis
- diagnostic imaging
- periodontal diseases
- texture analysis
ASJC Scopus subject areas