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

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorSao Paulo-
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.creatorGonçalves, Bianca C. [UNESP]-
Autor(es): dc.creatorde Araújo, Elaine C. [UNESP]-
Autor(es): dc.creatorNussi, Amanda D.-
Autor(es): dc.creatorBechara, Naira [UNESP]-
Autor(es): dc.creatorSarmento, Dmitry-
Autor(es): dc.creatorOliveira, Marcia S.-
Autor(es): dc.creatorSantamaria, Mauro P. [UNESP]-
Autor(es): dc.creatorCosta, Andre Luiz F.-
Autor(es): dc.creatorLopes, Sérgio [UNESP]-
Data de aceite: dc.date.accessioned2022-02-22T00:27:13Z-
Data de disponibilização: dc.date.available2022-02-22T00:27:13Z-
Data de envio: dc.date.issued2020-12-11-
Data de envio: dc.date.issued2020-12-11-
Data de envio: dc.date.issued2020-09-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1002/JPER.19-0477-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/199384-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/199384-
Descrição: dc.descriptionBackground: 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.-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
Descrição: dc.descriptionDepartment of Diagnosis and Surgery São José dos Campos School of Dentistry São Paulo State University (UNESP)-
Descrição: dc.descriptionPostgraduate Program in Dentistry Cruzeiro do Sul University (UNICSUL) Sao Paulo-
Descrição: dc.descriptionDepartment of Stomatology School of Dentistry University of São Paulo Sao Paulo-
Descrição: dc.descriptionDepartment of Physics Institute of Exact Sciences and Technology Paulista University (UNIP) Sao Paulo-
Descrição: dc.descriptionDepartment of Diagnosis and Surgery São José dos Campos School of Dentistry São Paulo State University (UNESP)-
Descrição: dc.descriptionFAPESP: 2017/09550-4-
Descrição: dc.descriptionFAPESP: 2018/17850-0-
Formato: dc.format1159-1166-
Idioma: dc.languageen-
Relação: dc.relationJournal of Periodontology-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectaggressive periodontitis-
Palavras-chave: dc.subjectdiagnostic imaging-
Palavras-chave: dc.subjectperiodontal diseases-
Palavras-chave: dc.subjecttexture analysis-
Título: dc.titleTexture analysis of cone-beam computed tomography images assists the detection of furcal lesion-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

Não existem arquivos associados a este item.