Fractal analysis of fibrous dysplasia and ossifying fibroma in 2D and 3D CBCT images

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dc.creatorCamila de Nazaré Alves de Oliveira Kato
dc.creatorSâmila Gonçalves Barra
dc.creatorLucas Guimarães Abreu
dc.creatorVinícius Carvalho Machado
dc.creatorJoão de Jesus Viana Pinheiro
dc.creatorJonathas Antônio Souza Henriques
dc.creatorWagner Henriques Castro
dc.creatorCláudia Borges Brasileiro
dc.creatorRicardo Alves de Mesquita
dc.date.accessioned2024-11-04T19:30:42Z
dc.date.accessioned2025-09-09T00:07:25Z
dc.date.available2024-11-04T19:30:42Z
dc.date.issued2022-11
dc.description.sponsorshipCNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico
dc.description.sponsorshipFAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas Gerais
dc.description.sponsorshipCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
dc.format.mimetypepdf
dc.identifier.doihttps://doi.org/10.1016/j.ajoms.2022.03.001
dc.identifier.issn2212-5566
dc.identifier.urihttps://hdl.handle.net/1843/77801
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofJournal of Oral and Maxillofacial Surgery, Medicine, and Pathology
dc.rightsAcesso Restrito
dc.subjectFractals
dc.subjectCraniofacial fibrous dysplasia
dc.subjectFibroma, ossifying
dc.subjectCone-beam computed tomography
dc.subjectSystems analysis
dc.subject.otherFractals
dc.subject.otherCraniofacial fibrous dysplasia
dc.subject.otherOssifying fibroma
dc.subject.otherCone-beam computed tomography
dc.titleFractal analysis of fibrous dysplasia and ossifying fibroma in 2D and 3D CBCT images
dc.typeArtigo de periódico
local.citation.epage7
local.citation.issue3
local.citation.spage1
local.citation.volume34
local.description.resumoObjective To assess the complexity of fibrous dysplasia and ossifying fibroma lesions by fractal dimension (FD) in 2D and 3D cone-beam computed tomography (CBCT) images. Methods Six cases of fibrous dysplasia were compared with six cases of ossifying fibroma in different images, thicknesses and regions of interest (ROI) of 2D and 3D images. FD was determined separately in hypondense and hyperdense areas using the box-counting method. The Student t-test was applied to determine the difference in FD between lesion groups. Results FD of hypodense areas in 2D images ranged from 1.2566 to 1.4532 in fibrous dysplasia and from 1.1540 to 1.3601 in ossifying fibroma, while FD of hyperdense lesion areas ranged from 1.1755 to 1.4132 for fibrous dysplasia and from 1.0480 to 1.2769 for ossifying fibroma images. Panoramic reconstruction and axial images of 0.25 mm thickness revealed significant differences between lesion groups in all ROI shapes (p < 0.05). FD of 3D images was higher in fibrous dysplasia (2.4999–2.7417) than in ossifying fibroma (1.9283–2.4144) in both hyperdense and hypodense areas, with statistical difference in almost all ROIs (p < 0.05). Conclusions FD data suggest higher complexity of structures of fibrous dysplasia lesions than of structures of ossifying fibroma.
local.identifier.orcidhttps://orcid.org/0000-0002-0464-6429
local.identifier.orcidhttps://orcid.org/0000-0003-2258-8071
local.identifier.orcidhttps://orcid.org/0000-0002-3089-5138
local.identifier.orcidhttps://orcid.org/0000-0002-6914-6441
local.identifier.orcidhttps://orcid.org/0000-0003-0498-7351
local.identifier.orcidhttps://orcid.org/0000-0003-2745-2878
local.identifier.orcidhttps://orcid.org/0000-0001-6691-3943
local.identifier.orcidhttps://orcid.org/0000-0003-3207-4007
local.publisher.countryBrasil
local.publisher.departmentFAO - DEPARTAMENTO DE CLÍNICA
local.publisher.departmentFAO - DEPARTAMENTO DE ODONTOPEDIATRIA E ORTODONTIA
local.publisher.initialsUFMG
local.url.externahttps://www.sciencedirect.com/science/article/pii/S221255582200059X#keys0005

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