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dc.contributor.authorLurie, Alan
dc.contributor.authorTosoni, Guilherme Monteiro [UNESP]
dc.contributor.authorTsimikas, John
dc.contributor.authorWalker, Fitz
dc.identifier.citationOral Surgery Oral Medicine Oral Pathology Oral Radiology. New York: Elsevier B.V., v. 113, n. 4, p. 549-U1, 2012.
dc.description.abstractObjective. The aim of this study was to demonstrate that histogram analysis and mathematical modeling of digital panoramic images (DPIs) processed using recursive hierarchic segmentation (RHSEG) discriminates normal, osteopenic, and osteoporotic cancellous bone.Study Design. Forty-seven DPIs of postmenopausal women were grouped into normal, osteopenic, and osteoporotic; dual-energy x-ray absorptiometry was the reference standard. RHSEG of the mandibular angle and canine/premolar trabecular regions of interest was performed. After histogram and histogram bin analysis and generation of relative intensity functions, generalized linear mixed model analysis was used to model the data and likelihood ratio testing used to assess group differences.Results. Histogram analyses discriminated among the groups. Receiver operating characteristic analysis of the canine/premolar data yielded area-under-the-curve accuracies of 0.78 for osteoporosis and 0.74 for osteopenia. Discrimination of osteoporosis required cubic analysis, discrimination of osteopenia required quartic analysis, and neither model alone discriminated among all groups.Conclusions. Analyses and mathematical modeling of mandibular trabecular bone on RHSEG-processed DPIs discriminated normal, osteoporotic, and osteopenic patients. (Oral Surg Oral Med Oral Pathol Oral Radiol 2012;113:549-558)en
dc.description.sponsorshipNational Institutes of Health/National Institute of Dental and Craniofacial Research
dc.description.sponsorshipNational Aeronautics and Space Administration (NASA)
dc.description.sponsorshipUniversity of Connecticut General Clinical Research Center
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipUniversity of Connecticut General Clinical Research Center General Clinical Research Center
dc.description.sponsorshipBartron Medical Imaging
dc.description.sponsorshipMinistry of Education of Brazil
dc.publisherElsevier B.V.
dc.relation.ispartofOral Surgery Oral Medicine Oral Pathology Oral Radiology
dc.sourceWeb of Science
dc.titleRecursive hierarchic segmentation analysis of bone mineral density changes on digital panoramic imagesen
dcterms.rightsHolderElsevier B.V.
dc.contributor.institutionUniv Connecticut
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.description.affiliationUniv Connecticut, Sch Dent Med, Dept Oral Hlth & Diagnost Sci, Farmington, CT 06030 USA
dc.description.affiliationSão Paulo State Univ, Dept Oral Diag & Surg, Sch Dent, Araraquara, Brazil
dc.description.affiliationUniv Connecticut, Sch Med, Farmington, CT 06030 USA
dc.description.affiliationUnespSão Paulo State Univ, Dept Oral Diag & Surg, Sch Dent, Araraquara, Brazil
dc.rights.accessRightsAcesso restrito
dc.description.sponsorshipIdDHHS/NIH/NIDCR: T32 DE07302
dc.description.sponsorshipIdUniversity of Connecticut General Clinical Research Center General Clinical Research Center: M01RR06192
dc.description.sponsorshipIdMinistry of Education of Brazil: BEX0875/02-3
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Odontologia, Araraquarapt
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