Differentiation of periapical granuloma from radicular cyst using cone beam computed tomography images texture analysis

Autor(es)

De Rosa, Catharina Simioni ^[1] ; Bergamini, Mariana Lobo ^[1] ; Palmieri, Michelle ^[1] ; de Santana Sarmento, Dmitry Jose ^[1] ; de Carvalho, Marcia Oliveira ^[2] ; Franco Ricardo, Ana Lucia ^[3] ; Hasseus, Bengt ^[4] ; Jonasson, Peter ^[5] ; Braz-Silva, Paulo Henrique ^{[1, 6]} ; Ferreira Costa, Andre Luiz ^[3]

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Sch Dent, Dept Stomatol, Sao Paulo - Brazil

^[2] Paulista Univ UNIP, Inst Technol, Dept Phys, Sao Paulo - Brazil

^[3] Cruzeiro Do Sul Univ UNICSUL, Postgrad Program Dent, Sao Paulo - Brazil

^[4] Univ Gothenburg, Sahlgrenska Acad, Inst Odontol, Dept Oral Med & Pathol, Gothenburg - Sweden

^[5] Univ Gothenburg, Sahlgrenska Acad, Inst Odontol, Dept Endodontol, Gothenburg - Sweden

^[6] Univ Sao Paulo, Sch Med, Inst Trop Med Sao Paulo, Lab Virol, Sao Paulo - Brazil

• Tipo de documento: Artigo Científico
• Fonte: HELIYON; v. 6, n. 10 OCT 2020.
• Citações Web of Science: 0

Resumo

Objective: 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. (AU)

• Processo FAPESP: 17/09550-4 - Análise de textura em imagens de ressonância magnética como ferramenta de auxílio na caracterização e classificação de ameloblastomas e queratocistos
• Beneficiário: André Luiz Ferreira Costa
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• Processo FAPESP: 09/53982-0 - EMU: aquisição de aparelho de tomografia computadorizada de superalta resolução para avaliação e mensuração de estruturas ósseas e dentais em imagens tridimensionais em pesquisas clínicas na Odontologia
• Beneficiário: Marina Helena Cury Gallottini
• Modalidade de apoio: Auxílio à Pesquisa - Programa Equipamentos Multiusuários