Cardiovascular magnetic resonance imaging feature tracking: Impact of training on observer performance and reproducibility.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2019
Historique:
received: 30 09 2018
accepted: 16 12 2018
entrez: 26 1 2019
pubmed: 27 1 2019
medline: 29 9 2019
Statut: epublish

Résumé

Cardiovascular magnetic resonance feature tracking (CMR-FT) is increasingly used for myocardial deformation assessment including ventricular strain, showing prognostic value beyond established risk markers if used in experienced centres. Little is known about the impact of appropriate training on CMR-FT performance. Consequently, this study aimed to evaluate the impact of training on observer variance using different commercially available CMR-FT software. Intra- and inter-observer reproducibility was assessed prior to and after dedicated one-hour observer training. Employed FT software included 3 different commercially available platforms (TomTec, Medis, Circle). Left (LV) and right (RV) ventricular global longitudinal as well as LV circumferential and radial strains (GLS, GCS and GRS) were studied in 12 heart failure patients and 12 healthy volunteers. Training improved intra- and inter-observer reproducibility. GCS and LV GLS showed the highest reproducibility before (ICC >0.86 and >0.81) and after training (ICC >0.91 and >0.92). RV GLS and GRS were more susceptible to tracking inaccuracies and reproducibility was lower. Inter-observer reproducibility was lower than intra-observer reproducibility prior to training with more pronounced improvements after training. Before training, LV strain reproducibility was lower in healthy volunteers as compared to patients with no differences after training. Whilst LV strain reproducibility was sufficient within individual software solutions inter-software comparisons revealed considerable software related variance. Observer experience is an important source of variance in CMR-FT derived strain assessment. Dedicated observer training significantly improves reproducibility with most profound benefits in states of high myocardial contractility and potential to facilitate widespread clinical implementation due to optimized robustness and diagnostic performance.

Sections du résumé

BACKGROUND
Cardiovascular magnetic resonance feature tracking (CMR-FT) is increasingly used for myocardial deformation assessment including ventricular strain, showing prognostic value beyond established risk markers if used in experienced centres. Little is known about the impact of appropriate training on CMR-FT performance. Consequently, this study aimed to evaluate the impact of training on observer variance using different commercially available CMR-FT software.
METHODS
Intra- and inter-observer reproducibility was assessed prior to and after dedicated one-hour observer training. Employed FT software included 3 different commercially available platforms (TomTec, Medis, Circle). Left (LV) and right (RV) ventricular global longitudinal as well as LV circumferential and radial strains (GLS, GCS and GRS) were studied in 12 heart failure patients and 12 healthy volunteers.
RESULTS
Training improved intra- and inter-observer reproducibility. GCS and LV GLS showed the highest reproducibility before (ICC >0.86 and >0.81) and after training (ICC >0.91 and >0.92). RV GLS and GRS were more susceptible to tracking inaccuracies and reproducibility was lower. Inter-observer reproducibility was lower than intra-observer reproducibility prior to training with more pronounced improvements after training. Before training, LV strain reproducibility was lower in healthy volunteers as compared to patients with no differences after training. Whilst LV strain reproducibility was sufficient within individual software solutions inter-software comparisons revealed considerable software related variance.
CONCLUSION
Observer experience is an important source of variance in CMR-FT derived strain assessment. Dedicated observer training significantly improves reproducibility with most profound benefits in states of high myocardial contractility and potential to facilitate widespread clinical implementation due to optimized robustness and diagnostic performance.

Identifiants

pubmed: 30682045
doi: 10.1371/journal.pone.0210127
pii: PONE-D-18-28470
pmc: PMC6347155
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0210127

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Sören J Backhaus (SJ)

University Medical Center Göttingen, Department of Cardiology and Pneumology, Georg-August University, Göttingen, Germany.
German Center for Cardiovascular Research (DZHK), partner site Göttingen, Göttingen, Germany.

Georg Metschies (G)

University Medical Center Göttingen, Department of Cardiology and Pneumology, Georg-August University, Göttingen, Germany.
German Center for Cardiovascular Research (DZHK), partner site Göttingen, Göttingen, Germany.

Marcus Billing (M)

University Medical Center Göttingen, Department of Cardiology and Pneumology, Georg-August University, Göttingen, Germany.
German Center for Cardiovascular Research (DZHK), partner site Göttingen, Göttingen, Germany.

Johannes T Kowallick (JT)

German Center for Cardiovascular Research (DZHK), partner site Göttingen, Göttingen, Germany.
University Medical Center Göttingen, Institute for Diagnostic and Interventional Radiology, Georg-August University, Göttingen, Germany.

Roman J Gertz (RJ)

University Medical Center Göttingen, Department of Cardiology and Pneumology, Georg-August University, Göttingen, Germany.
German Center for Cardiovascular Research (DZHK), partner site Göttingen, Göttingen, Germany.

Tomas Lapinskas (T)

German Heart Center Berlin (DHZB), University of Berlin, Department of Internal Medicine / Cardiology, Charité Campus Virchow Clinic, Berlin, Germany.
DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Germany.

Burkert Pieske (B)

German Heart Center Berlin (DHZB), University of Berlin, Department of Internal Medicine / Cardiology, Charité Campus Virchow Clinic, Berlin, Germany.

Joachim Lotz (J)

German Center for Cardiovascular Research (DZHK), partner site Göttingen, Göttingen, Germany.
University Medical Center Göttingen, Institute for Diagnostic and Interventional Radiology, Georg-August University, Göttingen, Germany.

Boris Bigalke (B)

Charité Campus Benjamin Franklin, University Medical Center Berlin, Department of Cardiology and Pneumology, Berlin, Germany.

Shelby Kutty (S)

Children's Hospital and Medical Center, University of Nebraska College of Medicine, Omaha, United States of America.

Gerd Hasenfuß (G)

University Medical Center Göttingen, Department of Cardiology and Pneumology, Georg-August University, Göttingen, Germany.
German Center for Cardiovascular Research (DZHK), partner site Göttingen, Göttingen, Germany.

Philipp Beerbaum (P)

Hanover Medical School, Department of Pediatric Cardiology and Intensive Care, Hanover, Germany.

Sebastian Kelle (S)

German Heart Center Berlin (DHZB), University of Berlin, Department of Internal Medicine / Cardiology, Charité Campus Virchow Clinic, Berlin, Germany.
DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Germany.

Andreas Schuster (A)

University Medical Center Göttingen, Department of Cardiology and Pneumology, Georg-August University, Göttingen, Germany.
German Center for Cardiovascular Research (DZHK), partner site Göttingen, Göttingen, Germany.
Department of Cardiology, Royal North Shore Hospital, The Kolling Institute, Nothern Clinical School, University of Sydney, Sydney, Australia.

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