Comparison of feature tracking, fast-SENC, and myocardial tagging for global and segmental left ventricular strain

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Comparison of feature tracking, fast-SENC, and myocardial tagging for global and segmental left ventricular strain. / Bucius, Paulius; Erley, Jennifer; Tanacli, Radu; Zieschang, Victoria; Giusca, Sorin; Korosoglou, Grigorious; Steen, Henning; Stehning, Christian; Pieske, Burkert; Pieske-Kraigher, Elisabeth; Schuster, Andreas; Lapinskas, Tomas; Kelle, Sebastian.

In: ESC HEART FAIL, Vol. 7, No. 2, 04.2020, p. 523-532.

Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

Harvard

Bucius, P, Erley, J, Tanacli, R, Zieschang, V, Giusca, S, Korosoglou, G, Steen, H, Stehning, C, Pieske, B, Pieske-Kraigher, E, Schuster, A, Lapinskas, T & Kelle, S 2020, 'Comparison of feature tracking, fast-SENC, and myocardial tagging for global and segmental left ventricular strain', ESC HEART FAIL, vol. 7, no. 2, pp. 523-532. https://doi.org/10.1002/ehf2.12576

APA

Bucius, P., Erley, J., Tanacli, R., Zieschang, V., Giusca, S., Korosoglou, G., Steen, H., Stehning, C., Pieske, B., Pieske-Kraigher, E., Schuster, A., Lapinskas, T., & Kelle, S. (2020). Comparison of feature tracking, fast-SENC, and myocardial tagging for global and segmental left ventricular strain. ESC HEART FAIL, 7(2), 523-532. https://doi.org/10.1002/ehf2.12576

Vancouver

Bibtex

@article{3d8b9246fa49454db10ad7a3f4e44577,
title = "Comparison of feature tracking, fast-SENC, and myocardial tagging for global and segmental left ventricular strain",
abstract = "AIMS: A multitude of cardiac magnetic resonance (CMR) techniques are used for myocardial strain assessment; however, studies comparing them are limited. We sought to compare global longitudinal (GLS), circumferential (GCS), segmental longitudinal (SLS), and segmental circumferential (SCS) strain values, as well as reproducibility between CMR feature tracking (FT), tagging (TAG), and fast-strain-encoded (fast-SENC) CMR techniques.METHODS AND RESULTS: Eighteen subjects (11 healthy volunteers and seven patients with heart failure) underwent two CMR scans (1.5T, Philips) with identical parameters. Global and segmental strain values were measured using FT (Medis), TAG (Medviso), and fast-SENC (Myocardial Solutions). Friedman's test, linear regression, Pearson's correlation coefficient, and Bland-Altman analyses were used to assess differences and correlation in measured GLS and GCS between the techniques. Two-way mixed intra-class correlation coefficient (ICC), coefficient of variance (COV), and Bland-Altman analysis were used for reproducibility assessment. All techniques correlated closely for GLS (Pearson's r: 0.86-0.92) and GCS (Pearson's r: 0.85-0.94). Intra-observer and inter-observer reproducibility was excellent in all techniques for both GLS (ICC 0.92-0.99, CoV 2.6-10.1%) and GCS (ICC 0.89-0.99, CoV 4.3-10.1%). Inter-study reproducibility was similar for all techniques for GLS (ICC 0.91-0.96, CoV 9.1-10.8%) and GCS (ICC 0.95-0.97, CoV 7.6-10.4%). Combined segmental intra-observer reproducibility was good in all techniques for SLS (ICC 0.914-0.953, CoV 12.35-24.73%) and SCS (ICC 0.885-0.978, CoV 10.76-19.66%). Combined inter-study SLS reproducibility was the worst in FT (ICC 0.329, CoV 42.99%), while fast-SENC performed the best (ICC 0.844, CoV 21.92%). TAG had the best reproducibility for combined inter-study SCS (ICC 0.902, CoV 19.08%), while FT performed the worst (ICC 0.766, CoV 32.35%). Bland-Altman analysis revealed considerable inter-technique biases for GLS (FT vs. fast-SENC 3.71%; FT vs. TAG 8.35%; and TAG vs. fast-SENC 4.54%) and GCS (FT vs. fast-SENC 2.15%; FT vs. TAG 6.92%; and TAG vs. fast-SENC 2.15%). Limits of agreement for GLS ranged from ±3.1 (TAG vs. fast-SENC) to ±4.85 (FT vs. TAG) for GLS and ±2.98 (TAG vs. fast-SENC) to ±5.85 (FT vs. TAG) for GCS.CONCLUSIONS: We found significant differences in measured GLS and GCS between FT, TAG, and fast-SENC. Global strain reproducibility was excellent for all techniques. Acquisition-based techniques had better reproducibility than FT for segmental strain.",
keywords = "Case-Control Studies, Heart/diagnostic imaging, Heart Failure/diagnostic imaging, Humans, Magnetic Resonance Imaging/methods, Magnetic Resonance Imaging, Cine/methods, Ventricular Dysfunction, Left/diagnostic imaging",
author = "Paulius Bucius and Jennifer Erley and Radu Tanacli and Victoria Zieschang and Sorin Giusca and Grigorious Korosoglou and Henning Steen and Christian Stehning and Burkert Pieske and Elisabeth Pieske-Kraigher and Andreas Schuster and Tomas Lapinskas and Sebastian Kelle",
note = "{\textcopyright} 2019 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of the European Society of Cardiology.",
year = "2020",
month = apr,
doi = "10.1002/ehf2.12576",
language = "English",
volume = "7",
pages = "523--532",
journal = "ESC HEART FAIL",
issn = "2055-5822",
publisher = "The Heart Failure Association of the European Society of Cardiology",
number = "2",

}

RIS

TY - JOUR

T1 - Comparison of feature tracking, fast-SENC, and myocardial tagging for global and segmental left ventricular strain

AU - Bucius, Paulius

AU - Erley, Jennifer

AU - Tanacli, Radu

AU - Zieschang, Victoria

AU - Giusca, Sorin

AU - Korosoglou, Grigorious

AU - Steen, Henning

AU - Stehning, Christian

AU - Pieske, Burkert

AU - Pieske-Kraigher, Elisabeth

AU - Schuster, Andreas

AU - Lapinskas, Tomas

AU - Kelle, Sebastian

N1 - © 2019 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of the European Society of Cardiology.

PY - 2020/4

Y1 - 2020/4

N2 - AIMS: A multitude of cardiac magnetic resonance (CMR) techniques are used for myocardial strain assessment; however, studies comparing them are limited. We sought to compare global longitudinal (GLS), circumferential (GCS), segmental longitudinal (SLS), and segmental circumferential (SCS) strain values, as well as reproducibility between CMR feature tracking (FT), tagging (TAG), and fast-strain-encoded (fast-SENC) CMR techniques.METHODS AND RESULTS: Eighteen subjects (11 healthy volunteers and seven patients with heart failure) underwent two CMR scans (1.5T, Philips) with identical parameters. Global and segmental strain values were measured using FT (Medis), TAG (Medviso), and fast-SENC (Myocardial Solutions). Friedman's test, linear regression, Pearson's correlation coefficient, and Bland-Altman analyses were used to assess differences and correlation in measured GLS and GCS between the techniques. Two-way mixed intra-class correlation coefficient (ICC), coefficient of variance (COV), and Bland-Altman analysis were used for reproducibility assessment. All techniques correlated closely for GLS (Pearson's r: 0.86-0.92) and GCS (Pearson's r: 0.85-0.94). Intra-observer and inter-observer reproducibility was excellent in all techniques for both GLS (ICC 0.92-0.99, CoV 2.6-10.1%) and GCS (ICC 0.89-0.99, CoV 4.3-10.1%). Inter-study reproducibility was similar for all techniques for GLS (ICC 0.91-0.96, CoV 9.1-10.8%) and GCS (ICC 0.95-0.97, CoV 7.6-10.4%). Combined segmental intra-observer reproducibility was good in all techniques for SLS (ICC 0.914-0.953, CoV 12.35-24.73%) and SCS (ICC 0.885-0.978, CoV 10.76-19.66%). Combined inter-study SLS reproducibility was the worst in FT (ICC 0.329, CoV 42.99%), while fast-SENC performed the best (ICC 0.844, CoV 21.92%). TAG had the best reproducibility for combined inter-study SCS (ICC 0.902, CoV 19.08%), while FT performed the worst (ICC 0.766, CoV 32.35%). Bland-Altman analysis revealed considerable inter-technique biases for GLS (FT vs. fast-SENC 3.71%; FT vs. TAG 8.35%; and TAG vs. fast-SENC 4.54%) and GCS (FT vs. fast-SENC 2.15%; FT vs. TAG 6.92%; and TAG vs. fast-SENC 2.15%). Limits of agreement for GLS ranged from ±3.1 (TAG vs. fast-SENC) to ±4.85 (FT vs. TAG) for GLS and ±2.98 (TAG vs. fast-SENC) to ±5.85 (FT vs. TAG) for GCS.CONCLUSIONS: We found significant differences in measured GLS and GCS between FT, TAG, and fast-SENC. Global strain reproducibility was excellent for all techniques. Acquisition-based techniques had better reproducibility than FT for segmental strain.

AB - AIMS: A multitude of cardiac magnetic resonance (CMR) techniques are used for myocardial strain assessment; however, studies comparing them are limited. We sought to compare global longitudinal (GLS), circumferential (GCS), segmental longitudinal (SLS), and segmental circumferential (SCS) strain values, as well as reproducibility between CMR feature tracking (FT), tagging (TAG), and fast-strain-encoded (fast-SENC) CMR techniques.METHODS AND RESULTS: Eighteen subjects (11 healthy volunteers and seven patients with heart failure) underwent two CMR scans (1.5T, Philips) with identical parameters. Global and segmental strain values were measured using FT (Medis), TAG (Medviso), and fast-SENC (Myocardial Solutions). Friedman's test, linear regression, Pearson's correlation coefficient, and Bland-Altman analyses were used to assess differences and correlation in measured GLS and GCS between the techniques. Two-way mixed intra-class correlation coefficient (ICC), coefficient of variance (COV), and Bland-Altman analysis were used for reproducibility assessment. All techniques correlated closely for GLS (Pearson's r: 0.86-0.92) and GCS (Pearson's r: 0.85-0.94). Intra-observer and inter-observer reproducibility was excellent in all techniques for both GLS (ICC 0.92-0.99, CoV 2.6-10.1%) and GCS (ICC 0.89-0.99, CoV 4.3-10.1%). Inter-study reproducibility was similar for all techniques for GLS (ICC 0.91-0.96, CoV 9.1-10.8%) and GCS (ICC 0.95-0.97, CoV 7.6-10.4%). Combined segmental intra-observer reproducibility was good in all techniques for SLS (ICC 0.914-0.953, CoV 12.35-24.73%) and SCS (ICC 0.885-0.978, CoV 10.76-19.66%). Combined inter-study SLS reproducibility was the worst in FT (ICC 0.329, CoV 42.99%), while fast-SENC performed the best (ICC 0.844, CoV 21.92%). TAG had the best reproducibility for combined inter-study SCS (ICC 0.902, CoV 19.08%), while FT performed the worst (ICC 0.766, CoV 32.35%). Bland-Altman analysis revealed considerable inter-technique biases for GLS (FT vs. fast-SENC 3.71%; FT vs. TAG 8.35%; and TAG vs. fast-SENC 4.54%) and GCS (FT vs. fast-SENC 2.15%; FT vs. TAG 6.92%; and TAG vs. fast-SENC 2.15%). Limits of agreement for GLS ranged from ±3.1 (TAG vs. fast-SENC) to ±4.85 (FT vs. TAG) for GLS and ±2.98 (TAG vs. fast-SENC) to ±5.85 (FT vs. TAG) for GCS.CONCLUSIONS: We found significant differences in measured GLS and GCS between FT, TAG, and fast-SENC. Global strain reproducibility was excellent for all techniques. Acquisition-based techniques had better reproducibility than FT for segmental strain.

KW - Case-Control Studies

KW - Heart/diagnostic imaging

KW - Heart Failure/diagnostic imaging

KW - Humans

KW - Magnetic Resonance Imaging/methods

KW - Magnetic Resonance Imaging, Cine/methods

KW - Ventricular Dysfunction, Left/diagnostic imaging

U2 - 10.1002/ehf2.12576

DO - 10.1002/ehf2.12576

M3 - SCORING: Journal article

C2 - 31800152

VL - 7

SP - 523

EP - 532

JO - ESC HEART FAIL

JF - ESC HEART FAIL

SN - 2055-5822

IS - 2

ER -