Use of fractal analysis in dental images: a systematic review

• Autor(a) principal: Camila de Nazaré Alves de Oliveira Kato
• Data de Publicação: 2019
• Outros Autores: Sâmila Gonçalves Barra, Núbia Priscilla Kleperon Tavares, Tania Mara Pimenta Amaral, Cláudia Borges Brasileiro, Ricardo a. Mesquita, Lucas Guimarães de Abreu
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UFMG
• Texto Completo: https://doi.org/10.1259/dmfr.20180457; http://hdl.handle.net/1843/57747
• topic: Análise fractal; Imagens dentárias; Radiografia panorâmica; Tomografia Computadorizada de Feixe Cônico (TCFC); Implantes dentários; dental radiography; dentistry; fractal; jaws; panoramic.; Fractals; Radiography; Cone-beam computed tomography; Ultrasonography; Bone diseases, metabolic; Dental Implants

Objectives: This study reviewed the use of fractal analysis (FA) in dental images. Methods: A search was performed using PubMed, MEDLINE, LILACS, Web of Science and SCOPUS databases. The inclusion criteria were human studies in the English language, with no date restriction. Results: 78 articles were found in which FA was applied to panoramic radiographs (34), periapical radiographs (21), bitewing radiographs (4), cephalometric radiograph (1), cone beam CT (15), micro-CT (3), sialography (2), and ultrasound (2). Low bone mineral density (21) and systemic or local diseases (22) around the bone of dental implants were the main subjects of the study of FA. Various sizes and sites of the regions of interest were used to evaluate the bone structure. Different ways were used to treat the image and to calculate FA. FA of 43 articles showed significant differences in the comparison of groups, mainly between healthy and sick patients. Conclusions: FA in Dentistry has been widely applied to the study of images. Panoramic and periapical radiographs were those most frequently used. The Image J software and the box-counting method were extensively adopted in the studies reviewed herein. Further studies are encouraged to improve clarification of the parameters that directly influence FA.