Inter-vendor reproducibility of left and right ventricular cardiovascular magnetic resonance myocardial feature-tracking

2018 | journal article. A publication with affiliation to the University of Göttingen.

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​Inter-vendor reproducibility of left and right ventricular cardiovascular magnetic resonance myocardial feature-tracking​
Gertz, R. J.; Lange, T.; Kowallick, J. T.; Backhaus, S. J.; Steinmetz, M.; Staab, W. & Kutty, S. et al.​ (2018) 
PLOS ONE13(3) art. e0193746​.​ DOI: https://doi.org/10.1371/journal.pone.0193746 

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Authors
Gertz, Roman Johannes; Lange, Torben; Kowallick, Johannes Tammo; Backhaus, Sören Jan; Steinmetz, Michael; Staab, Wieland; Kutty, Shelby; Hasenfuß, Gerd ; Lotz, Joachim ; Schuster, Andreas
Abstract
AIM: Since cardiovascular magnetic resonance feature-tracking (CMR-FT) has been demonstrated to be of incremental clinical merit we investigated the interchangeability of global left and right ventricular strain parameters between different CMR-FT software solutions. MATERIAL AND METHODS: CMR-cine images of 10 patients without significant reduction in LVEF and RVEF and 10 patients with a significantly impaired systolic function were analyzed using two different types of FT-software (TomTec, Germany; QStrain, Netherlands). Global longitudinal strains (LV GLS, RV GLS), global left ventricular circumferential (GCS) and radial strains (GRS) were assessed. Differences in intra- and inter-observer variability within and between software types based on single and up to three repeated and subsequently averaged measurements were evaluated. RESULTS: Inter-vendor agreement was highest for GCS followed by LV GLS. GRS and RV GLS showed lower inter-vendor agreement. Variability was consistently higher in healthy volunteers as compared to the patient group. Intra-vendor reproducibility was excellent for GCS, LV GLS and RV GLS, but lower for GRS. The impact of repeated measurements was most pronounced for GRS and RV GLS on an intra-vendor level. CONCLUSION: Cardiac pathology has no influence on CMR-FT reproducibility. LV GLS and GCS qualify as the most robust parameters within and between individual software types. Since both parameters can be interchangeably assessed with different software solutions they may enter the clinical arena for optimized diagnostic and prognostic evaluation of cardiovascular morbidity and mortality in various pathologies.
Issue Date
2018
Journal
PLOS ONE 
Organization
Klinik für Kardiologie und Pneumologie ; Deutsches Zentrum für Herz-Kreislauf-Forschung e.V. ; Institut für Diagnostische und Interventionelle Radiologie ; Klinik für Pädiatrische Kardiologie, Intensivmedizin und Neonatologie 
ISSN
1932-6203
Language
English

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