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

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Citações na Scopus
1
Tipo de produção
article
Data de publicação
2023
DOI
Scopus
Web of Science
PubMed
Título da Revista
ISSN da Revista
Título do Volume
Editora
KOREAN ACAD ORAL & MAXILLOFACIAL RADIOLOGY
Autores
COSTA, Andre Luiz Ferreira
FARDIM, Karolina Aparecida Castilho
RIBEIRO, Isabela Teixeira
JARDINI, Maria Aparecida Neves
ORHAN, Kaan
LOPES, Sergio Lucio Pereira de Castro
Citação
IMAGING SCIENCE IN DENTISTRY, v.53, n.1, p.43-51, 2023
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
Purpose: 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 (alpha = 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. (Imaging Sci Dent 20220166)
Palavras-chave
WORDS, Cone-Beam Computed Tomography, Diagnosis, Computer-Assisted, Diagnostic Imaging, Paranasal Sinuses
URI
https://observatorio.fm.usp.br/handle/OPI/58293
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Coleções
Artigos e Materiais de Revistas Científicas - LIM/52