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dc.contributor.author
Miskinyte, Emilija
dc.contributor.author
Bucius, Paulius
dc.contributor.author
Erley, Jennifer
dc.contributor.author
Zamani, Seyedeh M.
dc.contributor.author
Tanacli, Radu
dc.contributor.author
Stehning, Christian
dc.contributor.author
Schneeweis, Christopher
dc.contributor.author
Lapinskas, Tomas
dc.contributor.author
Pieske, Burkert
dc.contributor.author
Falk, Volkmar
dc.contributor.author
Gebker, Rolf
dc.contributor.author
Pedrizzetti, Gianni
dc.contributor.author
Solowjowa, Natalia
dc.contributor.author
Kelle, Sebastian
dc.date.accessioned
2020-01-14T11:24:55Z
dc.date.available
2020-01-13T10:36:09Z
dc.date.available
2020-01-14T11:24:55Z
dc.date.issued
2019-09
dc.identifier.issn
2077-0383
dc.identifier.other
10.3390/jcm8091423
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/389645
dc.identifier.doi
10.3929/ethz-b-000389645
dc.description.abstract
In this study, we used a single commercially available software solution to assess global longitudinal (GLS) and global circumferential strain (GCS) using cardiac computed tomography (CT) and cardiac magnetic resonance (CMR) feature tracking (FT). We compared agreement and reproducibility between these two methods and the reference standard, CMR tagging (TAG). Twenty-seven patients with severe aortic stenosis underwent CMR and cardiac CT examinations. FT analysis was performed using Medis suite version 3.0 (Leiden, The Netherlands) software. Segment (Medviso) software was used for GCS assessment from tagged images. There was a trend towards the underestimation of GLS by CT-FT when compared to CMR-FT (19.4 ± 5.04 vs. 22.40 ± 5.69, respectively; p = 0.065). GCS values between TAG, CT-FT, and CMR-FT were similar (p = 0.233). CMR-FT and CT-FT correlated closely for GLS (r = 0.686, p < 0.001) and GCS (r = 0.707, p < 0.001), while both of these methods correlated moderately with TAG for GCS (r = 0.479, p < 0.001 for CMR-FT vs. TAG; r = 0.548 for CT-FT vs. TAG). Intraobserver and interobserver agreement was excellent in all techniques. Our findings show that, in elderly patients with severe aortic stenosis (AS), the FT algorithm performs equally well in CMR and cardiac CT datasets for the assessment of GLS and GCS, both in terms of reproducibility and agreement with the gold standard, TAG.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
MDPI
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Systemic disease
en_US
dc.subject
Cardiac computed tomography
en_US
dc.subject
Cardiac magnetic resonance
en_US
dc.subject
Feature tracking
en_US
dc.subject
Tagging
en_US
dc.subject
Myocardial deformation
en_US
dc.subject
Strain
en_US
dc.title
Assessment of Global Longitudinal and Circumferential Strain Using Computed Tomography Feature Tracking: Intra-Individual Comparison with CMR Feature Tracking and Myocardial Tagging in Patients with Severe Aortic Stenosis
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2019-09-10
ethz.journal.title
Journal of Clinical Medicine
ethz.journal.volume
8
en_US
ethz.journal.issue
9
en_US
ethz.journal.abbreviated
J Clin Med
ethz.pages.start
1423
en_US
ethz.size
12 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.pubmed
31509951
ethz.publication.place
Basel
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02070 - Dep. Gesundheitswiss. und Technologie / Dep. of Health Sciences and Technology::02540 - Institut für Translationale Medizin / Institute of Translational Medicine::09667 - Falk, Volkmar / Falk, Volkmar
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02070 - Dep. Gesundheitswiss. und Technologie / Dep. of Health Sciences and Technology::02540 - Institut für Translationale Medizin / Institute of Translational Medicine::09667 - Falk, Volkmar / Falk, Volkmar
en_US
ethz.identifier.orcidWorkCode
66892735
ethz.date.deposited
2020-01-13T10:36:17Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2020-01-14T11:25:07Z
ethz.rosetta.lastUpdated
2022-03-29T00:34:39Z
ethz.rosetta.versionExported
true
ethz.COinS
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