| Autor: |
Robert Heinke, Faraz Pathan, Melanie Le, Tommaso D’Angelo, Lea Winau, Christophe Arendt, Thomas J. Vogl, Andreas Zeiher, Eike Nagel, Valentina O. Puntmann |
| Jazyk: |
angličtina |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
BMC Cardiovascular Disorders, Vol 19, Iss 1, Pp 1-11 (2019) |
| Druh dokumentu: |
article |
| ISSN: |
1471-2261 |
| DOI: |
10.1186/s12872-019-1255-4 |
| Popis: |
Abstract Background Left ventricular global longitudinal strain (GLS) with cardiovascular magnetic resonance (CMR) is an important prognostic biomarker. Its everyday clinical use is limited due to methodological and postprocessing diversity among the users and vendors. Standardization of postprocessing approaches may reduce the random operator-dependent variability, allowing for comparability of measurements despite the systematic vendor-related differences. Methods We investigated the random component of variability in GLS measurements by optimization steps which incrementally improved observer reproducibility and agreement. Cine images in two-, three- and four-chamber-views were serially analysed by two independent observers using two different CMR-FT softwares. The disparity of outcomes after each series was systematically assessed after a number of stepwise adjustments which were shown to significantly reduce the inter-observer and intervendor bias, resulting standardized postprocessing approach. The final analysis was performed in 44 subjects (ischaemic heart disease n = 15, non-ischaemic dilated cardiomyopathy, n = 19, healthy controls, n = 10). All measurements were performed blind to the underlying group allocation and previous measurements. Inter- and intra-observer variability were tested using Bland-Altman analyses, intra-class correlation coefficients (ICCs) and coefficients of variation (CVs). Results Compared to controls, mean GLS was significantly lower in patients, as well as between the two subgroups (p |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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