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Published in: The International Journal of Cardiovascular Imaging 2/2021

01-02-2021 | Original Paper

Strain analysis using feature tracking cardiac magnetic resonance (FT-CMR) in the assessment of myocardial viability in chronic ischemic patients

Authors: Sara W. Tantawy, Shaimaa Abdelsattar Mohammad, Ahmed M. Osman, Wesam El Mozy, Ahmed S. Ibrahim

Published in: The International Journal of Cardiovascular Imaging | Issue 2/2021

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Abstract

The purpose of this study is to test the capability of a commercially available feature tracking-cardiac magnetic resonance (FT-CMR) strain analysis software module in differentiating between viable and non-viable myocardium in chronic ischemic patients. Thirty chronic ischemic patients and 10 healthy volunteers were enrolled. Cine images were used for peak circumferential and radial strains quantification using dedicated FT-CMR software. Global strain was compared between patients and controls. In patients, segmental strain was compared in viable and non-viable myocardium determined by late gadolinium enhancement (LGE); and in segments with wall abnormalities. Among 480 myocardial segments analyzed in patients, 76 segments were non-viable on LGE. The mean left ventricular ejection fraction (LVEF) of the patients (87% males, mean age 55 ± 12 years) was 40 ± 12% vs. 61 ± 5% for the controls (80% males, mean age 39 ± 11 years). Peak global circumferential strain (GCS) and global radial strain (GRS) were significantly impaired in patients compared to controls (−13.89 ± 4.12% vs. −19.84 ± 1.47%), p < 0.001 and (23.11 ± 6.59% vs. 31.72 ± 5.52%), p = 0.001. Segmental circumferential strain (SCS) and segmental radial strain (SRS) were significantly impaired in non-viable compared to viable segments (-9.47 ± 7.26% vs. -14.72 ± 7.5%), p < 0.001 and (15.67 ± 12.11% vs. 24.51 ± 16.22%), p < 0.001. Cut-off points of -9.36% for the SCS (AUC = 0.7, 95% CI = 0.63–0.77) and 19.5% for the SRS (AUC = 0.67, 95%CI = 0.61–0.73) were attained above which the segment is considered viable.
SCS was able to discriminate between normokinetic, hypokinetic and akinetic segments (mean = 27.6 ± 17.13%, 18.66 ± 12.88% and 15.24 ± 10.70% respectively, p < 0.001). Circumferential and radial segmental strain analysis by FT-CMR was able to discriminate between viable and non-viable segments of the myocardium defined by LGE and between normokinetic, hypokinetic and akinetic segments, using routinely acquired cine images, and thus can provide a more objective metric for risk stratification in chronic ischemic patients.
Literature
2.
go back to reference Knuuti J, Wijns W, Saraste A, Capodanno D, Barbato E, Funck-Brentano C et al (2019) 2019 ESC Guidelines for the diagnosis and management of chronic coronary syndromes. Eur Heart J 41(3):407–477CrossRef Knuuti J, Wijns W, Saraste A, Capodanno D, Barbato E, Funck-Brentano C et al (2019) 2019 ESC Guidelines for the diagnosis and management of chronic coronary syndromes. Eur Heart J 41(3):407–477CrossRef
3.
go back to reference Roes SD, Mollema SA, Lamb HJ, van der Wall EE, de Roos A, Bax JJ (2009) Validation of echocardiographic two-dimensional speckle tracking longitudinal strain imaging for viability assessment in patients with chronic ischemic left ventricular dysfunction and comparison with contrast-enhanced magnetic resonance imaging. Am J Cardiol 104(3):312–317. https://doi.org/10.1016/j.amjcard.2009.03.040CrossRefPubMed Roes SD, Mollema SA, Lamb HJ, van der Wall EE, de Roos A, Bax JJ (2009) Validation of echocardiographic two-dimensional speckle tracking longitudinal strain imaging for viability assessment in patients with chronic ischemic left ventricular dysfunction and comparison with contrast-enhanced magnetic resonance imaging. Am J Cardiol 104(3):312–317. https://​doi.​org/​10.​1016/​j.​amjcard.​2009.​03.​040CrossRefPubMed
4.
go back to reference Wu KC (2012) Myocardial viability imaging: dead or alive? J Am Coll Cardiol 59(9):836–837CrossRef Wu KC (2012) Myocardial viability imaging: dead or alive? J Am Coll Cardiol 59(9):836–837CrossRef
8.
go back to reference Schuster A, Hor KN, Kowallick JT, Beerbaum P, Kutty S (2016) Cardiovascular magnetic resonance myocardial feature tracking: concepts and clinical applications. Circ Cardiovasc Imaging 9(4):1–9CrossRef Schuster A, Hor KN, Kowallick JT, Beerbaum P, Kutty S (2016) Cardiovascular magnetic resonance myocardial feature tracking: concepts and clinical applications. Circ Cardiovasc Imaging 9(4):1–9CrossRef
9.
go back to reference Rahman ZU, Sethi P, Murtaza G, Virk HUH, Rai A, Mahmod M et al (2017) Feature tracking cardiac magnetic resonance imaging: a review of a novel non-invasive cardiac imaging technique. World J Cardiol 9(4):312CrossRef Rahman ZU, Sethi P, Murtaza G, Virk HUH, Rai A, Mahmod M et al (2017) Feature tracking cardiac magnetic resonance imaging: a review of a novel non-invasive cardiac imaging technique. World J Cardiol 9(4):312CrossRef
10.
go back to reference Scatteia A, Baritussio A, Bucciarelli-Ducci C (2017) Strain imaging using cardiac magnetic resonance. Heart Fail Rev 22(4):465–476CrossRef Scatteia A, Baritussio A, Bucciarelli-Ducci C (2017) Strain imaging using cardiac magnetic resonance. Heart Fail Rev 22(4):465–476CrossRef
11.
go back to reference Cerqueira MD, Weissman NJ, Dilsizian V, Jacobs AK, Kaul S, Laskey WK et al (2002) Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart: a statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association. J Nucl Cardiol 9(2):240–245CrossRef Cerqueira MD, Weissman NJ, Dilsizian V, Jacobs AK, Kaul S, Laskey WK et al (2002) Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart: a statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association. J Nucl Cardiol 9(2):240–245CrossRef
12.
go back to reference Maret E, Todt T, Brudin L, Nylander E, Swahn E, Ohlsson JL et al (2009) Functional measurements based on feature tracking of cine magnetic resonance images identify left ventricular segments with myocardial scar. Cardiovasc Ultrasound 7(1):1–14CrossRef Maret E, Todt T, Brudin L, Nylander E, Swahn E, Ohlsson JL et al (2009) Functional measurements based on feature tracking of cine magnetic resonance images identify left ventricular segments with myocardial scar. Cardiovasc Ultrasound 7(1):1–14CrossRef
13.
go back to reference Muser D, Castro SA, Santangeli P, Nucifora G (2018) Clinical applications of feature-tracking cardiac magnetic resonance imaging. World J Cardiol 10(11):210–221CrossRef Muser D, Castro SA, Santangeli P, Nucifora G (2018) Clinical applications of feature-tracking cardiac magnetic resonance imaging. World J Cardiol 10(11):210–221CrossRef
14.
go back to reference Augustine D, Lewandowski AJ, Lazdam M, Rai A, Francis J, Myerson S et al (2013) Global and regional left ventricular myocardial deformation measures by magnetic resonance feature tracking in healthy volunteers: comparison with tagging and relevance of gender. J Cardiovasc Magn Reson 15(1):8CrossRef Augustine D, Lewandowski AJ, Lazdam M, Rai A, Francis J, Myerson S et al (2013) Global and regional left ventricular myocardial deformation measures by magnetic resonance feature tracking in healthy volunteers: comparison with tagging and relevance of gender. J Cardiovasc Magn Reson 15(1):8CrossRef
15.
go back to reference Taylor RJ, Moody WE, Umar F, Edwards NC, Taylor TJ, Stegemann B et al (2015) Myocardial strain measurement with feature-tracking cardiovascular magnetic resonance: normal values. Eur Heart J Cardiovasc Imaging 16(8):871–881CrossRef Taylor RJ, Moody WE, Umar F, Edwards NC, Taylor TJ, Stegemann B et al (2015) Myocardial strain measurement with feature-tracking cardiovascular magnetic resonance: normal values. Eur Heart J Cardiovasc Imaging 16(8):871–881CrossRef
20.
go back to reference Altiok E, Neizel M, Tiemann S, Krass V, Becker M, Zwicker C et al (2012) Layer-specific analysis of myocardial deformation for assessment of infarct transmurality: comparison of strain-encoded cardiovascular magnetic resonance with 2D speckle tracking echocardiography. Eur Hear J Cardiovasc Imaging 14(6):570–578. https://doi.org/10.1093/ehjci/jes229CrossRef Altiok E, Neizel M, Tiemann S, Krass V, Becker M, Zwicker C et al (2012) Layer-specific analysis of myocardial deformation for assessment of infarct transmurality: comparison of strain-encoded cardiovascular magnetic resonance with 2D speckle tracking echocardiography. Eur Hear J Cardiovasc Imaging 14(6):570–578. https://​doi.​org/​10.​1093/​ehjci/​jes229CrossRef
21.
go back to reference Oyama-Manabe N, Ishimori N, Sugimori H, Van Cauteren M, Kudo K, Manabe O et al (2011) Identification and further differentiation of subendocardial and transmural myocardial infarction by fast strain-encoded (SENC) magnetic resonance imaging at 3.0 Tesla. Eur Radiol 21(11):2362–2368CrossRef Oyama-Manabe N, Ishimori N, Sugimori H, Van Cauteren M, Kudo K, Manabe O et al (2011) Identification and further differentiation of subendocardial and transmural myocardial infarction by fast strain-encoded (SENC) magnetic resonance imaging at 3.0 Tesla. Eur Radiol 21(11):2362–2368CrossRef
23.
go back to reference Onishi T, Saha SK, Delgado-Montero A, Ludwig DR, Onishi T, Schelbert EB et al (2015) Global longitudinal strain and global circumferential strain by speckle-tracking echocardiography and feature-tracking cardiac magnetic resonance imaging: comparison with left ventricular ejection fraction. J Am Soc Echocardiogr 28(5):587–596. https://doi.org/10.1016/j.echo.2014.11.018CrossRefPubMed Onishi T, Saha SK, Delgado-Montero A, Ludwig DR, Onishi T, Schelbert EB et al (2015) Global longitudinal strain and global circumferential strain by speckle-tracking echocardiography and feature-tracking cardiac magnetic resonance imaging: comparison with left ventricular ejection fraction. J Am Soc Echocardiogr 28(5):587–596. https://​doi.​org/​10.​1016/​j.​echo.​2014.​11.​018CrossRefPubMed
25.
go back to reference Obokata M, Nagata Y, Wu VC-C, Kado Y, Kurabayashi M, Otsuji Y et al (2015) Direct comparison of cardiac magnetic resonance feature tracking and 2D/3D echocardiography speckle tracking for evaluation of global left ventricular strain. Eur Hear J Cardiovasc Imaging 17(5):525–532. https://doi.org/10.1093/ehjci/jev227CrossRefPubMed Obokata M, Nagata Y, Wu VC-C, Kado Y, Kurabayashi M, Otsuji Y et al (2015) Direct comparison of cardiac magnetic resonance feature tracking and 2D/3D echocardiography speckle tracking for evaluation of global left ventricular strain. Eur Hear J Cardiovasc Imaging 17(5):525–532. https://​doi.​org/​10.​1093/​ehjci/​jev227CrossRefPubMed
28.
go back to reference Chan J, Hanekom L, Wong C, Leano R, Cho GY, Marwick TH (2006) Differentiation of subendocardial and transmural infarction using two-dimensional strain rate imaging to assess short-axis and long-axis myocardial function. J Am Coll Cardiol 48(10):2026–2033CrossRef Chan J, Hanekom L, Wong C, Leano R, Cho GY, Marwick TH (2006) Differentiation of subendocardial and transmural infarction using two-dimensional strain rate imaging to assess short-axis and long-axis myocardial function. J Am Coll Cardiol 48(10):2026–2033CrossRef
Metadata
Title
Strain analysis using feature tracking cardiac magnetic resonance (FT-CMR) in the assessment of myocardial viability in chronic ischemic patients
Authors
Sara W. Tantawy
Shaimaa Abdelsattar Mohammad
Ahmed M. Osman
Wesam El Mozy
Ahmed S. Ibrahim
Publication date
01-02-2021
Publisher
Springer Netherlands
Published in
The International Journal of Cardiovascular Imaging / Issue 2/2021
Print ISSN: 1569-5794
Electronic ISSN: 1875-8312
DOI
https://doi.org/10.1007/s10554-020-02018-w

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