{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T22:26:18Z","timestamp":1777587978648,"version":"3.51.4"},"reference-count":19,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2017,2,13]],"date-time":"2017-02-13T00:00:00Z","timestamp":1486944000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100003125","name":"Suomen Kulttuurirahasto","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003125","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005432","name":"Pohjois-Savon Rahasto","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100005432","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005744","name":"Lastentautien Tutkimuss\u00e4\u00e4ti\u00f6","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100005744","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005633","name":"Syd\u00e4ntutkimuss\u00e4\u00e4ti\u00f6","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100005633","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000272","name":"National Institute for Health Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000272","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100004440","name":"Wellcome Trust","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100004440","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000266","name":"Engineering and Physical Sciences Research Council","doi-asserted-by":"publisher","award":["WT 088641\/Z\/09\/Z"],"award-info":[{"award-number":["WT 088641\/Z\/09\/Z"]}],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000274","name":"British Heart Foundation","doi-asserted-by":"publisher","award":["RE\/08\/03"],"award-info":[{"award-number":["RE\/08\/03"]}],"id":[{"id":"10.13039\/501100000274","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004963","name":"Seventh Framework Programme","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004963","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Echocardiography"],"published-print":{"date-parts":[[2017,4]]},"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Quantitative echocardiographic assessment of right ventricular function is important in children with hypoplastic left heart syndrome (HLHS). The aim of this study was to examine the repeatability of different echocardiographic techniques, both manual and automated, to measure fractional area change (FAC) in patients with HLHS and to correlate these measurements with magnetic resonance imaging (MRI)\u2010derived ejection fraction (EF).<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Fifty\u2010one children with HLHS underwent transthoracic echocardiography and cardiac MRI under the same general anesthetic as part of routine inter\u2010stage assessment. FAC was measured from the apical four\u2010chamber view using three different techniques: velocity vector imaging (VVI) (Syngo USWP 3.0; Siemens Healthineers), QLAB (Q\u2010lab R 10.0; Philips Healthcare), and manual endocardial contour tracing (Xcelera, Philips Healthcare). Intra\u2010 and inter\u2010observer variability was calculated using intra\u2010class correlation coefficient (ICC). FAC was correlated with MRI EF calculated using a single standard method.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Fractional area change had a good correlation with MRI\u2010derived EF with an <jats:italic>R<\/jats:italic> value for VVI, QLAB, and manual methods of .7, .6, and .4, respectively. Intra\u2010 and inter\u2010observer variability for FAC was good for automated echocardiographic methods (ICC&gt;.85) but worse for manual method particularly inter\u2010observer variability of FAC and end\u2010systolic area. Both automated techniques tended to produce higher FAC values compared with manual measurements (<jats:italic>P<\/jats:italic>&lt;.001).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Automation improves the repeatability of FAC in HLHS. There are some differences between automated software in terms of correlation with MRI\u2010derived EF. Measurement bias and wide limits of agreement mean that the same echocardiographic technique should be used during the follow\u2010up of individual patients.<\/jats:p><\/jats:sec>","DOI":"10.1111\/echo.13470","type":"journal-article","created":{"date-parts":[[2017,2,13]],"date-time":"2017-02-13T05:26:52Z","timestamp":1486963612000},"page":"587-593","source":"Crossref","is-referenced-by-count":17,"title":["Right ventricular systolic function in hypoplastic left heart syndrome: A comparison of manual and automated software to measure fractional area change"],"prefix":"10.1111","volume":"34","author":[{"given":"Hanna K.","family":"Ruotsalainen","sequence":"first","affiliation":[{"name":"Department of Pediatric Cardiology Children's Hospital University Hospital of Helsinki and University of Helsinki  Helsinki Finland"},{"name":"Department of Pediatrics Kuopio University Hospital  Kuopio Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hannah 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University of Helsinki  Helsinki Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John M.","family":"Simpson","sequence":"additional","affiliation":[{"name":"Department of Congenital Heart Disease Evelina London Children's Hospital  London United 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