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

Autor:	Costa ALF; Postgraduate Program in Dentistry, Cruzeiro do Sul University, São Paulo, SP, Brazil., Fardim KAC; Department of Diagnosis and Surgery, São José dos Campos School of Dentistry of the São Paulo State University, São José dos Campos, SP, Brazil., Ribeiro IT; Department of Diagnosis and Surgery, São José dos Campos School of Dentistry of the São Paulo State University, São José dos Campos, SP, Brazil., Jardini MAN; Department of Diagnosis and Surgery, São José dos Campos School of Dentistry of the São Paulo State University, São José dos Campos, SP, Brazil., Braz-Silva PH; Division of General Pathology, School of Dentistry, University of São Paulo, São Paulo, SP, Brazil.; Laboratory of Virology, Institute of Tropical Medicine of São Paulo, School of Medicine, University of São Paulo, São Paulo, SP, Brazil., Orhan K; Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Ankara University, Ankara, Turkey., de Castro Lopes SLP; Department of Diagnosis and Surgery, São José dos Campos School of Dentistry of the São Paulo State University, São José dos Campos, SP, Brazil.
Jazyk:	angličtina
Zdroj:	Imaging science in dentistry [Imaging Sci Dent] 2023 Mar; Vol. 53 (1), pp. 43-51. Date of Electronic Publication: 2023 Jan 11.
DOI:	10.5624/isd.20220166
Abstrakt:	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 (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. Competing Interests: Conflicts of Interest: None (Copyright © 2023 by Korean Academy of Oral and Maxillofacial Radiology.)
Databáze:	MEDLINE
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