Cone-beam computed tomography texture analysis can help differentiate odontogenic and non-odontogenic maxillary sinusitis

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorCruzeiro do Sul University-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.contributorAnkara University-
Autor(es): dc.creatorCosta, Andre Luiz Ferreira-
Autor(es): dc.creatorFardim, Karolina Aparecida Castilho-
Autor(es): dc.creatorRibeiro, Isabela Teixeira-
Autor(es): dc.creatorJardini, Maria Aparecida Neves-
Autor(es): dc.creatorBraz-Silva, Paulo Henrique-
Autor(es): dc.creatorOrhan, Kaan-
Autor(es): dc.creatorde Castro Lopes, Sérgio Lúcio Pereira-
Data de aceite: dc.date.accessioned2025-08-21T18:05:11Z-
Data de disponibilização: dc.date.available2025-08-21T18:05:11Z-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2022-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.5624/isd.20220166-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/249847-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/249847-
Descrição: dc.descriptionPurpose: This study aimed to assess texture analysis (TA) of cone-beam computed tomography (CBCT) images as a quantitative tool for the differential diagnosis of odontogenic and non-odontogenic maxillary sinusitis (OS and NOS, respectively). Materials and Methods: CBCT images of 40 patients diagnosed with OS (N=20) and NOS (N=20) were evaluated. The gray level co-occurrence (GLCM) matrix parameters, and gray level run length matrix texture (GLRLM) parameters were extracted using manually placed regions of interest on lesion images. Seven texture parameters were calculated using GLCM and 4 parameters using GLRLM. The Mann-Whitney test was used for comparisons between the groups, and the Levene test was performed to confirm the homogeneity of variance (α=5%). Results: The results showed statistically significant differences (P<0.05) between the OS and NOS patients regarding 3 TA parameters. NOS patients presented higher values for contrast, while OS patients presented higher values for correlation and inverse difference moment. Greater textural homogeneity was observed in the OS patients than in the NOS patients, with statistically significant differences in standard deviations between the groups for correlation, sum of squares, sum of entropy, and entropy. Conclusion: TA enabled quantitative differentiation between OS and NOS on CBCT images by using the parameters of contrast, correlation, and inverse difference moment.-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
Descrição: dc.descriptionPostgraduate Program in Dentistry Cruzeiro do Sul University, SP-
Descrição: dc.descriptionDepartment of Diagnosis and Surgery São José dos Campos School of Dentistry of the São Paulo State University, SP-
Descrição: dc.descriptionDivision of General Pathology School of Dentistry University of São Paulo, SP-
Descrição: dc.descriptionLaboratory of Virology Institute of Tropical Medicine of São Paulo School of Medicine University of São Paulo, SP-
Descrição: dc.descriptionDepartment of Dentomaxillofacial Radiology Faculty of Dentistry Ankara University-
Descrição: dc.descriptionDepartment of Diagnosis and Surgery São José dos Campos School of Dentistry of the São Paulo State University, SP-
Formato: dc.format43-51-
Idioma: dc.languageen-
Relação: dc.relationImaging Science in Dentistry-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectComputer-Assisted-
Palavras-chave: dc.subjectCone-Beam Computed Tomography-
Palavras-chave: dc.subjectDiagnosis-
Palavras-chave: dc.subjectDiagnostic Imaging-
Palavras-chave: dc.subjectParanasal Sinuses-
Título: dc.titleCone-beam computed tomography texture analysis can help differentiate odontogenic and non-odontogenic maxillary sinusitis-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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