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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

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Author(s):
Goncalves, Bianca C. [1] ; de Araujo, Elaine C. [1] ; Nussi, Amanda D. [2] ; Bechara, Naira [1] ; Sarmento, Dmitry [3] ; Oliveira, Marcia S. [4] ; Santamaria, Mauro P. [1] ; Costa, Andre Luiz F. [2] ; Lopes, Sergio [1]
Total Authors: 9
Affiliation:
[1] Sao Paulo State Univ UNESP, Sao Jose dos Campos Sch Dent, Dept Diag & Surg, Sao Jose Dos Campos, SP - Brazil
[2] Cruzeiro do Sul Univ UNICSUL, Postgrad Program Dent, Sao Paulo, SP - Brazil
[3] Univ Sao Paulo, Sch Dent, Dept Stomatol, Sao Paulo, SP - Brazil
[4] Paulista Univ UNIP, Inst Exact Sci & Technol, Dept Phys, Sao Paulo, SP - Brazil
Total Affiliations: 4
Document type: Journal article
Source: Journal of Periodontology; v. 91, n. 9 FEB 2020.
Web of Science Citations: 0
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. (AU)

FAPESP's process: 18/17850-0 - Caracterização tomográfica de lesões de furca em pacientes portadores de periodontite agressiva generalizada como meio preditor do sucesso do tratamento por regeneração periodontal
Grantee:Raquel Correia
Support Opportunities: Scholarships in Brazil - Scientific Initiation
FAPESP's process: 17/09550-4 - Investigation of feasibility to use computer aided texture analysis for detection and classification of ameloblastomas and keratocysts
Grantee:André Luiz Ferreira Costa
Support Opportunities: Regular Research Grants