Magnetic resonance imaging texture analysis to differentiate ameloblastoma from odontogenic keratocyst

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Gomes, Joao Pedro Perez ; Ogawa, Celso Massahiro ; Silveira, Rafael V. ; Castellano, Gabriela ; De Rosa, Catharina Simioni ; Yasuda, Clarissa Lin ; Rocha, Andre Caroli ; Hasseus, Bengt ; Orhan, Kaan ; Braz-Silva, Paulo Henrique ; Costa, Andre Luiz Ferreira

• Document type: Journal article
• Source: SCIENTIFIC REPORTS; v. 12, n. 1, p. 9-pg., 2022-11-21.

Abstract

The differentiation between ameloblastoma (AB) and odontogenic keratocyst (OKC) is essential for the formulation of the surgical plan, especially considering the biological behavior of these two pathological entities. Therefore, developing means to increase the accuracy of the diagnostic process is extremely important for a safe treatment. The aim of this study was to use magnetic resonance imaging (MRI) based on texture analysis (TA) as an aid in differentiating AB from OKC. This study comprised 18 patients; eight patients with AB and ten with OKC. All diagnoses were determined through incisional biopsy and later through histological examination of the surgical specimen. MRI was performed using a 3 T scanner with a neurovascular coil according to a specific protocol. All images were exported to segmentation software in which the volume of interest (VOI) was determined by a radiologist, who was blind to the histopathological results. Next, the textural parameters were computed by using the MATLAB software. Spearman's correlation coefficient was used to assess the correlation between texture parameters and the selected variables. Differences in TA parameters were compared between AB and OKC by using the Mann-Whitney test. Mann-Whitney test showed a statistically significant difference between AB and OKC for the parameters entropy (P = 0.033) and sum average (P = 0.033). MRI texture analysis has the potential to discriminate between AB and OKC as a noninvasive method. MRI texture analysis can be an additional tool to differentiate ameloblastoma from odontogenic keratocyst. (AU)

• FAPESP's process: 17/09550-4 - Investigation of feasibility to use computer aided texture analysis for detection and classification of ameloblastomas and keratocysts
• Grantee: André Luiz Ferreira Costa
• Support Opportunities: Regular Research Grants
• FAPESP's process: 13/07559-3 - BRAINN - The Brazilian Institute of Neuroscience and Neurotechnology
• Grantee: Fernando Cendes
• Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC