Publication:
Detecting the shape differences of the corpus callosum in Behcet's disease by statistical shape analysis

dc.contributor.authorÇolak, Cemil
dc.contributor.authorDoğan, Metin
dc.contributor.authorŞener, Serpil
dc.contributor.authorAlkan, Alpay
dc.contributor.buuauthorErcan, İlker
dc.contributor.buuauthorTuran, Senem Özdemir
dc.contributor.departmentTıp Fakültesi
dc.contributor.departmentAnatomi Ana Bilim Dalı
dc.contributor.orcid0000-0002-2382-290Xtr_TR
dc.contributor.researcheridAAA-8734-2021tr_TR
dc.contributor.scopusid6603789069tr_TR
dc.contributor.scopusid18038353400tr_TR
dc.date.accessioned2022-01-06T10:25:56Z
dc.date.available2022-01-06T10:25:56Z
dc.date.issued2011-05
dc.description.abstractThe aim of this study was to assess the shape differences of the corpus callosum (CC) in patients with Behcet's disease using statistical shape analysis (SSA). Additionally, an attempt was made to investigate the changes in CC size according to disease duration. Twenty-five adults with clinically diagnosed Behcet's disease and 25 age-and gender-matched controls were examined by high-resolution structural magnetic resonance imaging. The data obtained from the coordinate of landmarks were analyzed with Euclidean distance matrix analysis and a thin-plate spline analysis. SSA and growth curve models were performed to investigate group differences and to fit the curves. A significant difference was determined between CC shape of Behcet patients and controls (P = 0.006). Based on the analysis, a decrease occurred in the CC size of the Behcet patients as the duration of disease increased. Maximum deformations were determined in the landmarks of interior notch of the splenium, inferior tip of the splenium, posterior-most point of the CC, and topmost point of the CC. Similarly, the landmark of anterior-most point of the CC was identified as having the minimum deformation. Behcet patients had significantly different CC shapes from control subjects. The results suggest that SSA is a promising tool for distinguishing Behcet patients from normal subjects, and that it can give useful information to assist clinicians. Additionally, SSA might be applied to detect shape differences in anatomical structures that are affected by a broad range of neurological diseases.en_US
dc.identifier.citationÇolak, C. vd. (2011). "Detecting the shape differences of the corpus callosum in Behcet's disease by statistical shape analysis". Anatomical Record-Advances in Integrative Anatomy and Evolutionary Biology, 294(5), 870-874.en_US
dc.identifier.endpage874tr_TR
dc.identifier.issn1932-8486
dc.identifier.issn1932-8494
dc.identifier.issue5tr_TR
dc.identifier.pubmed21455957tr_TR
dc.identifier.scopus2-s2.0-79955878199tr_TR
dc.identifier.startpage870tr_TR
dc.identifier.urihttps://doi.org/10.1002/ar.21373
dc.identifier.urihttps://anatomypubs.onlinelibrary.wiley.com/doi/full/10.1002/ar.21373
dc.identifier.urihttp://hdl.handle.net/11452/23899
dc.identifier.volume294tr_TR
dc.identifier.wos000289649300014
dc.indexed.pubmedPubmeden_US
dc.indexed.scopusScopusen_US
dc.indexed.wosSCIEen_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.collaborationYurt içitr_TR
dc.relation.journalAnatomical Record-Advances in Integrative Anatomy and Evolutionary Biologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergitr_TR
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAnatomy & morphologyen_US
dc.subjectBehcet's diseaseen_US
dc.subjectCorpus callosumen_US
dc.subjectGeometric morphometricsen_US
dc.subjectGrowth curve modelsen_US
dc.subjectStatistical shape analysisen_US
dc.subject.emtreeAdulten_US
dc.subject.emtreeArticleen_US
dc.subject.emtreeBehcet diseaseen_US
dc.subject.emtreeClinical articleen_US
dc.subject.emtreeControlled studyen_US
dc.subject.emtreeCorpus callosumen_US
dc.subject.emtreeDisease durationen_US
dc.subject.emtreeFemaleen_US
dc.subject.emtreeGrowth curveen_US
dc.subject.emtreeHumanen_US
dc.subject.emtreeMaleen_US
dc.subject.emtreeMorphometricsen_US
dc.subject.emtreeNuclear magnetic resonance imagingen_US
dc.subject.emtreePriority journalen_US
dc.subject.emtreeStatistical analysisen_US
dc.subject.emtreeStatistical shape analysisen_US
dc.subject.meshAdulten_US
dc.subject.meshAge factorsen_US
dc.subject.meshBehcet syndromeen_US
dc.subject.meshCase-control studiesen_US
dc.subject.meshCorpus callosumen_US
dc.subject.meshFemaleen_US
dc.subject.meshHumansen_US
dc.subject.meshImage processing, computer-assisteden_US
dc.subject.meshMagnetic resonance imagingen_US
dc.subject.meshMaleen_US
dc.subject.meshMiddle ageden_US
dc.subject.meshModels, statisticalen_US
dc.subject.meshSex factorsen_US
dc.subject.scopusCorpus Callosum; Cerebrum; Isthmusesen_US
dc.subject.wosAnatomy & morphogyen_US
dc.titleDetecting the shape differences of the corpus callosum in Behcet's disease by statistical shape analysisen_US
dc.typeArticle
dc.wos.quartileQ3en_US
dspace.entity.typePublication
local.contributor.departmentTıp Fakültesi/Biyoistatistik Ana Bilim Dalıtr_TR
local.contributor.departmentTıp Fakültesi/Anatomi Ana Bilim Dalıtr_TR

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