Sistema FMUSP-HC: Faculdade de Medicina da Universidade de São Paulo (FMUSP) e Hospital das Clínicas da FMUSPROSA, Catharina Simioni DeBERGAMINI, Mariana LoboPALMIERI, MichelleSARMENTO, Dmitry Jose de SantanaCARVALHO, Marcia Oliveira deRICARDO, Ana Lucia FrancoHASSEUS, BengtJONASSON, PeterBRAZ-SILVA, Paulo HenriqueCOSTA, Andre Luiz Ferreira2021-02-182021-02-182020HELIYON, v.6, n.10, article ID e05194, 9p, 20202405-8440https://observatorio.fm.usp.br/handle/OPI/39610Objective: This study aimed to investigate the use of texture analysis for characterization of radicular cysts and periapical granulomas and to assess its efficacy to differentiate between both lesions with histological diagnosis. Methods: Cone beam computed tomography (CBCT) images were obtained from 19 patients with 25 periapical lesions (14 radicular cysts and 11 periapical granulomas) confirmed by biopsy. Regions of interest were created in the lesions from which 11 texture parameters were calculated. Spearman's correlation analysis was performed and adjusted with Benjamini-Hochberg false discovery rate procedure (FDR <0.005). Results: The texture parameters used to differentiate the lesions were assessed by using a receiver operating characteristic analysis. Five texture parameters were predictive of lesion differentiation for eight positions: angular second moment; sum of squares; sum of average; contrast; correlation. Conclusion: Texture analysis of CBCT scans distinguishes radicular cysts from periapical granulomas and can be a promising diagnostic tool for periapical lesions. Clinical significance: Texture analysis can be used in diagnostic and treatment monitoring to provide supple-mentary information.engopenAccessPathologyDentistryOral medicineEye-ear-nose-throatRadiologyMedical imagingL cone beam computed tomographyComputer-assisted diagnosisImage processingComputer-assistedPeriapical diseaseslesionsexpressiondiagnosisaccuracyfeaturesarticleCopyright ELSEVIER SCI LTD10.1016/j.heliyon.2020.e05194Multidisciplinary Sciences