The texture analysis technique in cone beam computed tomography images as a tool for the improvement of the differential diagnosis between odontogenic and non-dontogenic synusitis

• Grant number: 20/08295-3
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: October 01, 2020
• End date: September 30, 2021
• Field of knowledge: Health Sciences - Dentistry - Dental Radiology
• Principal Investigator: Sérgio Lúcio Pereira de Castro Lopes
• Grantee: Isabela Teixeira Ribeiro
• Host Institution: Instituto de Ciência e Tecnologia (ICT). Universidade Estadual Paulista (UNESP). Campus de São José dos Campos. São José dos Campos , SP, Brazil

Abstract

The aim of this study will be to use the texture analysis (TA) technique in cone beam computed tomography (CBCT) images as a tool to improve the differential diagnosis between odontogenic (OS) and non-odontogenic sinuses (NOS), in the maxillary sinuses. From the database of CBCT exams in the Radiology Clinic file, 40 CBCT exams (40 maxillary sinuses) will be selected by a previously calibrated evaluator, being 20 OS and 20 NOS, according to the criteria of visual analysis based on those proposed by Maillet et al. (2011). The exams will be exported to the OnDemand3D software (Cybermed, Seoul, South Korea), where 03 cross-sections will be selected, covering different regions of the image corresponding to the sinusitis, they will be individually exported and identified in bitmap format (.bmp). Each cross-section will be exported to the MaZda 4.60 software (Institute of Electronics, Technical Universityof Lodz, Poland) and then, with the "draw rectangle" tool, a region of interest (ROI), of fixed dimensions (5.0x3.0mm), will be determined for all images, positioned in the central region of sinus opacification. The texture parameters will then be calculated using the co-occurrence matrix (COM). The results will be tabulated and, for each TA parameter obtained, an average of the three cuts analyzed will be made. Spearman's correlation coefficient will be used to assess the correlation between texture variables and select variables for analysis. The groups (OS and NOS) will be compared using the Mann-Whitney test and the p-values will be adjusted using the FDR (False Discovery Rate) method. The ROC (Receiver Operating Characteristic) curve will be used to assess the sensitivity and specificity of the texture variables to differentiate the two sinus groups (OS and NOS). The cluster analysis will be used to form the two groups of sinusitis based on the texture data and assess whether these two groups formed are equivalent to the two study groups (OS and SOS). The level and significance adopted will be 5%.

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

COSTA, ANDRE LUIZ FERREIRA; FARDIM, KAROLINA APARECIDA CASTILHO; RIBEIRO, ISABELA TEIXEIRA; JARDINI, MARIA APARECIDA NEVES; BRAZ-SILVA, PAULO HENRIQUE; ORHAN, KAAN; LOPES, SERGIO LUCIO PEREIRA DE CASTRO. Cone-beam computed tomography texture analysis can help differentiate odontogenic and non-odontogenic maxillary sinusitis. IMAGING SCIENCE IN DENTISTRY, v. N/A, p. 9-pg., 2023-01-11. (19/00495-6, 20/08295-3)