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dc.contributor.authorGrue, Jahn Frederik
dc.contributor.authorStorve, Sigurd
dc.contributor.authorDalen, Håvard
dc.contributor.authorSalvesen, Øyvind
dc.contributor.authorMjølstad, Ole Christian
dc.contributor.authorSamstad, Stein
dc.contributor.authorTorp, Hans
dc.contributor.authorHaugen, Bjørn Olav
dc.date.accessioned2019-02-21T09:27:14Z
dc.date.available2019-02-21T09:27:14Z
dc.date.created2017-10-23T17:18:10Z
dc.date.issued2018
dc.identifier.citationUltrasound in Medicine and Biology. 2018, 44 (1), 168-176.nb_NO
dc.identifier.issn0301-5629
dc.identifier.urihttp://hdl.handle.net/11250/2586668
dc.description.abstractThe purpose of the study described here was to evaluate an automatic algorithm for detection of left ventricular dysfunction, based on measurements of mitral annular motion indices from color tissue Doppler apical four-chamber recordings. Two hundred twenty-one patients, among whom 49 had systolic and 11 had diastolic dysfunction, were included. Echocardiographic evaluation by cardiologists was the reference. Twenty patients were also examined by medical students. The ability of the indices to detect systolic and diastolic dysfunction were compared in receiver operating characteristic analyses, and the agreement between automatic and reference measurements was evaluated. Mitral annular plane systolic excursion ≤10 mm detected left ventricular dysfunction with 82% specificity, 76% specificity, 56% positive predictive value and 92% negative predictive value. The automatic measurements acquired from expert recordings better agreed better with the reference than those acquired from student recordings. We conclude that automatic measurements of systolic mitral annular motion indices can be helpful in detection of left ventricular dysfunction.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleAutomatic measurements of mitral annular plane systolic excursion and velocities to detect left ventricular dysfunctionnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber168-176nb_NO
dc.source.volume44nb_NO
dc.source.journalUltrasound in Medicine and Biologynb_NO
dc.source.issue1nb_NO
dc.identifier.doi10.1016/j.ultrasmedbio.2017.09.002
dc.identifier.cristin1507003
dc.relation.projectNorges forskningsråd: 237887nb_NO
dc.description.localcodeCopyright © 2018 The Author(s). Published by Elsevier Inc. on behalf of World Federation for Ultrasound in Medicine & Biology. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).nb_NO
cristin.unitcode194,65,25,0
cristin.unitcode194,65,20,0
cristin.unitnameInstitutt for sirkulasjon og bildediagnostikk
cristin.unitnameInstitutt for samfunnsmedisin og sykepleie
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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