1. Differentiation of periapical granuloma from radicular cyst using cone beam computed tomography images texture analysis
- Author
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Michelle Palmieri, Mariana Lobo Bergamini, Paulo Henrique Braz-Silva, Dmitry José de Santana Sarmento, André Luiz Ferreira Costa, Marcia Oliveira de Carvalho, Bengt Hasséus, Catharina Simioni De Rosa, Peter Jonasson, and Ana Lucia Franco Ricardo
- Subjects
0301 basic medicine ,Cone beam computed tomography ,Computer-assisted diagnosis ,Periapical Granuloma ,Oral medicine ,Texture (geology) ,03 medical and health sciences ,0302 clinical medicine ,Image processing ,Biopsy ,Medical imaging ,Pathology ,Medicine ,Clinical significance ,Periapical Diseases ,Computer-assisted ,lcsh:Social sciences (General) ,lcsh:Science (General) ,Radicular Cyst ,Multidisciplinary ,medicine.diagnostic_test ,Eye-ear-nose-throat ,business.industry ,030104 developmental biology ,Dentistry ,lcsh:H1-99 ,L cone beam computed tomography ,business ,Nuclear medicine ,Radiology ,030217 neurology & neurosurgery ,lcsh:Q1-390 ,Research Article ,Periapical diseases - 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, Pathology; Dentistry; Oral Medicine; Eye-Ear-Nose-Throat; Radiology; Medical Imaging; l cone beam computed tomography; computer-assisted diagnosis; image processing, computer-assisted; periapical diseases.
- Published
- 2020