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

Author(s)

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]

Affiliation

^[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

• Document type: Journal article
• Source: HELIYON; v. 6, n. 10 OCT 2020.
• Web of Science Citations: 0

Abstract

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)

• 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: 09/53982-0 - Acquisition of super high-resolution computed tomography equipment for evaluating and measuring bone structures and dental bone in three-dimensional images in clinical research in dentistry
• Grantee: Marina Helena Cury Gallottini
• Support Opportunities: Multi-user Equipment Program