Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/22883
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dc.contributor.authorMeiburger, Kristen M.-
dc.contributor.authorZahnd, Guillaume-
dc.contributor.authorFaita, Francesco-
dc.contributor.authorLoizou, Christos P.-
dc.contributor.authorCarvalho, Catarina-
dc.contributor.authorSteinman, David A.-
dc.contributor.authorGibello, Lorenzo-
dc.contributor.authorBruno, Rosa Maria-
dc.contributor.authorMarzola, Francesco-
dc.contributor.authorClarenbach, Ricarda-
dc.contributor.authorFrancesconi, Martina-
dc.contributor.authorNicolaides, Andrew N.-
dc.contributor.authorCampilho, Aurelio-
dc.contributor.authorGhotbi, Reza-
dc.contributor.authorKyriacou, Efthyvoulos C.-
dc.contributor.authorNavab, Nassir-
dc.contributor.authorGriffin, Maura-
dc.contributor.authorPanayiotou, Andrie G.-
dc.contributor.authorGherardini, Rachele-
dc.contributor.authorVaretto, Gianfranco-
dc.contributor.authorBianchini, Elisabetta-
dc.contributor.authorPattichis, Constantinos S.-
dc.contributor.authorGhiadoni, Lorenzo-
dc.contributor.authorRouco, José-
dc.contributor.authorMolinari, Filippo-
dc.date.accessioned2021-08-26T05:07:08Z-
dc.date.available2021-08-26T05:07:08Z-
dc.date.issued2021-08-
dc.identifier.citationUltrasound in Medicine and Biology, vol. 47, no. 8, pp. 2442-2455en_US
dc.identifier.issn03015629-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/22883-
dc.description.abstractCommon carotid intima-media thickness (CIMT) is a commonly used marker for atherosclerosis and is often computed in carotid ultrasound images. An analysis of different computerized techniques for CIMT measurement and their clinical impacts on the same patient data set is lacking. Here we compared and assessed five computerized CIMT algorithms against three expert analysts' manual measurements on a data set of 1088 patients from two centers. Inter- and intra-observer variability was assessed, and the computerized CIMT values were compared with those manually obtained. The CIMT measurements were used to assess the correlation with clinical parameters, cardiovascular event prediction through a generalized linear model and the Kaplan-Meier hazard ratio. CIMT measurements obtained with a skilled analyst's segmentation and the computerized segmentation were comparable in statistical analyses, suggesting they can be used interchangeably for CIMT quantification and clinical outcome investigation. To facilitate future studies, the entire data set used is made publicly available for the community at http://dx.doi.org/10.17632/fpv535fss7.1.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofUltrasound in Medicine and Biologyen_US
dc.rightsThis is an open access article under the CC BY-NC-ND licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectAtherosclerosisen_US
dc.subjectCardiovascular eventsen_US
dc.subjectCarotid artery intima–media thicknessen_US
dc.subjectOpen-source databaseen_US
dc.subjectSegmentationen_US
dc.subjectUltrasound imagingen_US
dc.titleCarotid Ultrasound Boundary Study (CUBS): An Open Multicenter Analysis of Computerized Intima-Media Thickness Measurement Systems and Their Clinical Impacten_US
dc.typeArticleen_US
dc.collaborationPolitecnico di Torinoen_US
dc.collaborationTechnische Universität Münchenen_US
dc.collaborationCNR - National Research Council of Italyen_US
dc.collaborationUniversity of Cyprusen_US
dc.collaborationINESCen_US
dc.collaborationUniversity of Torontoen_US
dc.collaborationUniversity of Torinoen_US
dc.collaborationUniversity of Pisaen_US
dc.collaborationParis Cardiovascular Research Centreen_US
dc.collaborationUniversité de Parisen_US
dc.collaborationHelios Klinikum München Westen_US
dc.collaborationCyprus Cardiovascular Disease and Educational Research Trusten_US
dc.collaborationUniversity of Portoen_US
dc.collaborationFrederick Universityen_US
dc.collaborationJohns Hopkins Universityen_US
dc.collaborationVascular Screening and Diagnostic Centreen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationUniversity of Cyprusen_US
dc.collaborationResearch Center of Information and Communication Technologiesen_US
dc.collaborationUniversity of A Coruñaen_US
dc.subject.categoryClinical Medicineen_US
dc.journalsOpen Accessen_US
dc.countryItalyen_US
dc.countryGermanyen_US
dc.countryCyprusen_US
dc.countryPortugalen_US
dc.countryCanadaen_US
dc.countryUnited Statesen_US
dc.countrySpainen_US
dc.subject.fieldMedical and Health Sciencesen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1016/j.ultrasmedbio.2021.03.022en_US
dc.identifier.pmid33941415-
dc.identifier.scopus2-s2.0-85105039218-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85105039218-
dc.relation.issue8en_US
dc.relation.volume47en_US
cut.common.academicyear2020-2021en_US
dc.identifier.spage2442en_US
dc.identifier.epage2455en_US
item.fulltextWith Fulltext-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypearticle-
item.languageiso639-1en-
crisitem.journal.journalissn0301-5629-
crisitem.journal.publisherElsevier-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.deptDepartment of Rehabilitation Sciences-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.facultyFaculty of Health Sciences-
crisitem.author.orcid0000-0003-1247-8573-
crisitem.author.orcid0000-0002-4589-519X-
crisitem.author.orcid0000-0002-6085-568X-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Health Sciences-
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