Texture analysis of cone-beam computed tomography images assists the detection of furcal lesion

Bianca C. Gonçalves, Elaine C. de Araújo, Amanda D. Nussi, Naira Bechara, Dmitry Sarmento, Marcia S. Oliveira, Mauro P. Santamaria, Andre Luiz F. Costa, Sérgio Lopes

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)1159-1166
Number of pages8
JournalJournal of Periodontology
Volume91
Issue number9
DOIs
StatePublished - Sep 1 2020

Bibliographical note

Funding 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.

Funding Information:
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.

Publisher Copyright:
© 2020 American Academy of Periodontology

Keywords

  • aggressive periodontitis
  • diagnostic imaging
  • periodontal diseases
  • texture analysis

ASJC Scopus subject areas

  • Periodontics

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