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. 2021 Oct 7:2021:3221448.
doi: 10.1155/2021/3221448. eCollection 2021.

Application of Fractal Analysis in Detecting Trabecular Bone Changes in Periapical Radiograph of Patients with Periodontitis

Parisa Soltani  1 , Sajad Sami  2 , Jaber Yaghini  3 , Ehsan Golkar  4 , Francesco Riccitiello  5 , Gianrico Spagnuolo  5   6
Affiliations

Application of Fractal Analysis in Detecting Trabecular Bone Changes in Periapical Radiograph of Patients with Periodontitis

Parisa Soltani et al. Int J Dent. .

Abstract

Introduction: Evaluation of detailed features of the supporting bone is an important step in diagnosis and treatment planning for teeth with clinical attachment loss. Fractal analysis can be used as a method for evaluating the complexity of trabecular bone structures. The aim of this study was to evaluate the trabecular bone changes in periapical radiographs of patients with different stages of periodontitis using fractal analysis.

Methods: This comparative cross-sectional study was performed on patients with and without clinical attachment loss in mandibular first molars. Teeth with clinical attachment loss were divided into mild, moderate, and severe periodontitis groups. Digital periapical radiographs were obtained from the mandibular first molars using the same exposure parameters. DICOM file of the radiographs was exported to ImageJ software for fractal analysis. Three regions of interest (ROIs) were considered in each radiograph: two proximal ROIs mesial and distal to the mandibular first molar and one apical ROI. Fractal dimension (FD) values were calculated using the fractal box counting approach. Statistical analysis was performed using the chi-square test, Mann-Whitney test, intraclass correlation coefficient, and ANOVA (α = 0.05).

Results: FD values were significantly different between moderate and severe periodontitis and healthy periodontal bone (P < 0.05), except for the distal ROI for moderate periodontitis cases (P=0.280). However, FD values of the supporting bone in periodontally healthy teeth and teeth with mild periodontitis did not show a statistically significant difference (P > 0.05).

Conclusion: Fractal analysis is a useful tool for evaluation of bone alterations in moderate and severe periodontitis, but was not able to detect the most initial radiographic bone signs of mild periodontitis.

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Conflict of interest statement

All authors declare that they have no conflicts of interest.

Figures

Figure 1
Figure 1
Selected regions of interest (ROIs) in periapical images: (a) mesial ROI, (b) distal ROI, and (c) apical ROI.
See this image and copyright information in PMC

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References

    1. Curtis M. A., Diaz P. I., Van Dyke T. E. The role of the microbiota in periodontal disease. Periodontology 2000 . 2020;83(1):14–25. doi: 10.1111/prd.12296. - DOI - PubMed
    1. Genco R. J., Graziani F., Hasturk H. Effects of periodontal disease on glycemic control, complications, and incidence of diabetes mellitus. Periodontology 2000 . 2020;83(1):59–65. doi: 10.1111/prd.12271. - DOI - PubMed
    1. Larvin H., Kang J., Aggarwal V. R., Pavitt S., Wu J. Risk of incident cardiovascular disease in people with periodontal disease: a systematic review and meta‐analysis. Clinical and Experimental Dental Research . 2021;7(1):109–122. doi: 10.1002/cre2.336. - DOI - PMC - PubMed
    1. Zhang Y., Leveille S. G., Edward J. Wisdom teeth, periodontal disease, and C-reactive protein in US adults. Public Health . 2020;187:97–102. doi: 10.1016/j.puhe.2020.07.039. - DOI - PubMed
    1. Kim H.-N. Investigation of the super-resolution algorithm for the prediction of periodontal disease in dental X-ray radiography. Journal of the Korean Society of Radiology . 2021;15:153–158.

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