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

Autor:	De Rosa CS; Department of Stomatology, School of Dentistry, University of São Paulo, São Paulo, Brazil., Bergamini ML; Department of Stomatology, School of Dentistry, University of São Paulo, São Paulo, Brazil., Palmieri M; Department of Stomatology, School of Dentistry, University of São Paulo, São Paulo, Brazil., Sarmento DJS; Department of Stomatology, School of Dentistry, University of São Paulo, São Paulo, Brazil., de Carvalho MO; Department of Physics, Institute of Technology, Paulista University (UNIP), São Paulo, Brazil., Ricardo ALF; Postgraduate Program in Dentistry, Cruzeiro do Sul University (UNICSUL), São Paulo, Brazil., Hasseus B; Department of Oral Medicine and Pathology, Institute of Odontology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden., Jonasson P; Department of Endodontology, Institute of Odontology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden., Braz-Silva PH; Department of Stomatology, School of Dentistry, University of São Paulo, São Paulo, Brazil.; Laboratory of Virology, Institute of Tropical Medicine of Sao Paulo, School of Medicine, University of São Paulo, São Paulo, Brazil., Ferreira Costa AL; Postgraduate Program in Dentistry, Cruzeiro do Sul University (UNICSUL), São Paulo, Brazil.
Jazyk:	angličtina
Zdroj:	Heliyon [Heliyon] 2020 Oct 09; Vol. 6 (10), pp. e05194. Date of Electronic Publication: 2020 Oct 09 (Print Publication: 2020).
DOI:	10.1016/j.heliyon.2020.e05194
Abstrakt:	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 supplementary information. (© 2020 The Authors. Published by Elsevier Ltd.)
Databáze:	MEDLINE
Externí odkaz:	Zobrazit plný text záznamu