Head-to-head comparison of cardiovascular MR feature tracking cine versus acquisition-based deformation strain imaging using myocardial tagging and strain encoding.
agreement
deformation imaging
fSENC
feature tracking
heart failure
tagging
Journal
Magnetic resonance in medicine
ISSN: 1522-2594
Titre abrégé: Magn Reson Med
Pays: United States
ID NLM: 8505245
Informations de publication
Date de publication:
01 2021
01 2021
Historique:
received:
06
04
2020
revised:
29
05
2020
accepted:
26
06
2020
pubmed:
28
8
2020
medline:
15
5
2021
entrez:
28
8
2020
Statut:
ppublish
Résumé
Myocardial feature-tracking (FT) deformation imaging is superior for risk stratification compared with volumetric approaches. Because there is no clear recommendation regarding FT postprocessing, we compared different FT-strain analyses with reference standard techniques, including tagging and strain-encoded (SENC) MRI. Feature-tracking software from four different vendors (TomTec, Medis, Circle [CVI], and Neosoft), tagging (Segment), and fastSENC (MyoStrain) were used to determine left ventricular global circumferential strains (GCS) and longitudinal strains (GLS) in 12 healthy volunteers and 12 patients with heart failure. Variability and agreements were assessed using intraclass correlation coefficients for absolute agreement (ICCa) and consistency (ICCc) as well as Pearson correlation coefficients. For FT-GCS, consistency was excellent comparing different FT vendors (ICCc = 0.84-0.97, r = 0.86-0.95) and in comparison to fast SENC (ICCc = 0.78-0.89, r = 0.73-0.81). FT-GCS consistency was excellent compared with tagging (ICCc = 0.79-0.85, r = 0.74-0.77) except for TomTec (ICCc = 0.68, r = 0.72). Absolute FT-GCS agreements among FT vendors were highest for CVI and Medis (ICCa = 0.96) and lowest for TomTec and Neosoft (ICCa = 0.32). Similarly, absolute FT-GCS agreements were excellent for CVI and Medis compared with both tagging and fast SENC (ICCa = 0.84-0.88), good to excellent for Neosoft (ICCa = 0.77 and 0.64), and lowest for TomTec (ICCa = 0.41 and 0.47). For FT-GLS, consistency was excellent (ICCc ≥ 0.86, r ≥ 0.76). Absolute agreements among FT vendors were excellent (ICCa = 0.91-0.93) or good to excellent for TomTec (ICCa = 0.69-0.85). Absolute agreements (ICCa) were good (CVI 0.70, Medis 0.60) and fair (TomTec 0.41, Neosoft 0.59) compared with tagging, but excellent compared with fast SENC (ICCa = 0.77-0.90). Although absolute agreements differ depending on deformation assessment approaches, consistency and correlation are consistently high regardless of the method chosen, thus indicating reliable strain assessment. Further standardisation and introduction of uniform references is warranted for routine clinical implementation.
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
357-368Informations de copyright
© 2020 International Society for Magnetic Resonance in Medicine.
Références
Buss SJ, Breuninger K, Lehrke S, et al. Assessment of myocardial deformation with cardiac magnetic resonance strain imaging improves risk stratification in patients with dilated cardiomyopathy. Eur Heart J Cardiovasc Imaging. 2015;16:307-315.
Romano S, Judd RM, Kim RJ, et al. Feature-tracking global longitudinal strain predicts death in a multicenter population of patients with ischemic and nonischemic dilated cardiomyopathy incremental to ejection fraction and late gadolinium enhancement. JACC Cardiovasc Imaging. 2018;11:1419-1429.
Eitel I, Stiermaier T, Lange T, et al. Cardiac magnetic resonance myocardial feature tracking for optimized prediction of cardiovascular events following myocardial infarction. JACC Cardiovasc Imaging. 2018;11:1433-1444.
Pennell DJ. Cardiovascular magnetic resonance. Circulation. 2010;121:692-705.
Axel L, Dougherty L. Improved method of spatial modulation of magnetization (SPAMM) for MRI of heart wall motion. Radiology. 1989;172:349-350.
Shehata ML, Cheng S, Osman NF, Bluemke DA, Lima JAC. Myocardial tissue tagging with cardiovascular magnetic resonance. J Cardiovasc Magn Reson. 2009;11:55.
Ibrahim E-SH. Myocardial tagging by cardiovascular magnetic resonance: Evolution of techniques-Pulse sequences, analysis algorithms, and applications. J Cardiovasc Magn Reson. 2011;13:36.
Castillo E, Osman N, Rosen B, et al. Quantitative assessment of regional myocardial function with MR-tagging in a multi-center study: Interobserver and intraobserver agreement of fast strain analysis with Harmonic Phase (HARP) MRI. J Cardiovasc Magn Reson. 2005;7:783-791.
Osman NF, Sampath S, Atalar E, Prince JL. Imaging longitudinal cardiac strain on short-axis images using strain-encoded MRI. Magn Reson Med. 2001;46:324-334.
Lapinskas T, Zieschang V, Erley J, et al. Strain-encoded cardiac magnetic resonance imaging: A new approach for fast estimation of left ventricular function. BMC Cardiovasc Disord. 2019;19:52.
Pan L, Stuber M, Kraitchman DL, Fritzges DL, Gilson WD, Osman NF. Real-time imaging of regional myocardial function using fast-SENC. Magn Reson Med. 2006;55:386-395.
Schuster A, Hor KN, Kowallick JT, Beerbaum P, Kutty S. Cardiovascular magnetic resonance myocardial feature tracking: Concepts and clinical applications. Circ Cardiovasc Imaging. 2016;9:e004077.
Schuster A, Morton G, Hussain ST, et al. The intra-observer reproducibility of cardiovascular magnetic resonance myocardial feature tracking strain assessment is independent of field strength. Eur J Radiol. 2013;82:296-301.
Schuster A, Paul M, Bettencourt N, et al. Myocardial feature tracking reduces observer-dependence in low-dose dobutamine stress cardiovascular magnetic resonance. PLoS One. 2015;10:e0122858.
Schuster A, Kutty S, Padiyath A, et al. Cardiovascular magnetic resonance myocardial feature tracking detects quantitative wall motion during dobutamine stress. J Cardiovasc Magn Reson. 2011;13:58.
Schuster A, Stahnke V-C, Unterberg-Buchwald C, et al. Cardiovascular magnetic resonance feature-tracking assessment of myocardial mechanics: Intervendor agreement and considerations regarding reproducibility. Clin Radiol. 2015;70:989-998.
Gertz RJ, Lange T, Kowallick JT, et al. Inter-vendor reproducibility of left and right ventricular cardiovascular magnetic resonance myocardial feature-tracking. PLoS One. 2018;13:e0193746.
Backhaus SJ, Metschies G, Billing M, et al. Cardiovascular magnetic resonance imaging feature tracking: Impact of training on observer performance and reproducibility. PLoS One. 2019;14:e0210127.
Wu L, Germans T, Güçlü A, Heymans MW, Allaart CP, van Rossum AC. Feature tracking compared with tissue tagging measurements of segmental strain by cardiovascular magnetic resonance. J Cardiovasc Magn Reson. 2014;16:10.
Hor KN, Gottliebson WM, Carson C, et al. Comparison of magnetic resonance feature tracking for strain calculation with harmonic phase imaging analysis. JACC Cardiovasc Imaging. 2010;3:144-151.
Feisst A, Kuetting DL, Dabir D, et al. Influence of observer experience on cardiac magnetic resonance strain measurements using feature tracking and conventional tagging. IJC Heart Vasculature. 2018;18:46-51.
McGraw KO, Wong SP. Forming inferences about some intraclass correlation coefficients. Psychol Methods. 1996;1:30-46.
Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med. 2016;15:155-163.
Kowallick JT, Morton G, Lamata P, et al. Inter-study reproducibility of left ventricular torsion and torsion rate quantification using MR myocardial feature tracking. J Magn Reson Imaging. 2016;43:128-137.
Bland M, Altman D. Statistical Methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;327:307-310.
Stanton T, Leano R, Marwick TH. Prediction of all-cause mortality from global longitudinal speckle strain: Comparison with ejection fraction and wall motion scoring. Circ Cardiovasc Imaging. 2009;2:356-364.
Biering-Sørensen T, Jensen JS, Pedersen SH, et al. Regional longitudinal myocardial deformation provides incremental prognostic information in patients with ST-segment elevation myocardial infarction. PLoS One. 2016;11:e0158280.
Ersbøll M, Valeur N, Mogensen UM, et al. Prediction of all-cause mortality and heart failure admissions from global left ventricular longitudinal strain in patients with acute myocardial infarction and preserved left ventricular ejection fraction. J Am Coll Cardiol. 2013;61:2365-2373.
Negishi T, Thavendiranathan P, Negishi K, et al. Rationale and design of the strain surveillance of chemotherapy for improving cardiovascular outcomes: The SUCCOUR trial. JACC Cardiovasc Imaging. 2018;11:1098-1105.
Gavara J, Rodriguez-Palomares JF, Valente F, et al. Prognostic value of strain by tissue tracking cardiac magnetic resonance after ST-segment elevation myocardial infarction. JACC Cardiovasc Imaging. 2018;11:1448-1457.
Motwani M, Dey D, Berman DS, et al. Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease: A 5-year multicentre prospective registry analysis. Eur Heart J. 2017;38:500-507.
Backhaus SJ, Staab W, Steinmetz M, et al. Fully automated quantification of biventricular volumes and function in cardiovascular magnetic resonance: Applicability to clinical routine settings. J Cardiovasc Magn Reson. 2019;21:692.
Cao JJ, Ngai N, Duncanson L, Cheng J, Gliganic K, Chen Q. A comparison of both DENSE and feature tracking techniques with tagging for the cardiovascular magnetic resonance assessment of myocardial strain. J Cardiovasc Magn Reson. 2018;20:26.
Nagata Y, Wu VC-C, Otsuji Y, Takeuchi M. Normal range of myocardial layer-specific strain using two-dimensional speckle tracking echocardiography. PLoS One. 2017;12:e0180584.
Kuetting DLR, Feisst A, Dabir D, et al. Comparison of magnetic resonance feature tracking with CSPAMM HARP for the assessment of global and regional layer specific strain. Int J Cardiol. 2017;244:340-346.
Heinke R, Pathan F, Le M, et al. Towards standardized postprocessing of global longitudinal strain by feature tracking-OptiStrain CMR-FT study. BMC Cardiovasc Disord. 2019;19:267.
Lambert J, Lamacie M, Thampinathan B, et al. Variability in echocardiography and MRI for detection of cancer therapy cardiotoxicity. Heart. 2020;106:817-823.
Amzulescu MS, Langet H, Saloux E, et al. Head-to-head comparison of global and regional two-dimensional speckle tracking strain versus cardiac magnetic resonance tagging in a multicenter validation study. Circ Cardiovasc Imaging. 2017;10:e006530.
von Knobelsdorff-Brenkenhoff F, Prothmann M, Dieringer MA, et al. Myocardial T1 and T2 mapping at 3 T: Reference values, influencing factors and implications. J Cardiovasc Magn Reson. 2013;15:53.
Voigt J-U, Pedrizzetti G, Lysyansky P, et al. Definitions for a common standard for 2D speckle tracking echocardiography: Consensus document of the EACVI/ASE/industry task force to standardize deformation imaging. Eur Heart J Cardiovasc Imaging. 2015;16:1-11.
Flachskampf FA, Blankstein R, Grayburn PA, et al. Global longitudinal shortening: A positive step towards reducing confusion surrounding global longitudinal strain. JACC Cardiovasc Imaging. 2019;12:1566-1567.
Scatteia A, Baritussio A, Bucciarelli-Ducci C. Strain imaging using cardiac magnetic resonance. Heart Fail Rev. 2017;22:465-476.
Vasan RS, Xanthakis V, Lyass A, et al. Epidemiology of left ventricular systolic dysfunction and heart failure in the Framingham study: An echocardiographic study over 3 decades. JACC Cardiovasc Imaging. 2018;11:1-11.
Nagueh SF, Smiseth OA, Appleton CP, et al. Recommendations for the evaluation of left ventricular diastolic function by echocardiography: An update from the American society of echocardiography and the European association of cardiovascular imaging. Eur Heart J Cardiovasc Imaging. 2016;17:1321-1360.
Pedrizzetti G, Claus P, Kilner PJ, Nagel E. Principles of cardiovascular magnetic resonance feature tracking and echocardiographic speckle tracking for informed clinical use. J Cardiovasc Magn Reson. 2016;18:51.
Erley J, Genovese D, Tapaskar N, et al. Echocardiography and cardiovascular magnetic resonance based evaluation of myocardial strain and relationship with late gadolinium enhancement. J Cardiovasc Magn Reson. 2019;21:46.