Correlation study of Myocardial strain imaging with angiographic findings in patients with chronic stable angina
Keywords:
coronary artery disease, global longitudinal strain, echocardiography, left ventricleAbstract
Background: Global Longitudinal Strain (GLS) measured by 2D speckle-tracking strain echocardiography (2D-STE) can detect impaired longitudinal left ventricle (LV) function at rest which is associated with significant coronary artery stenosis. Objective: Global longitudinal strain (GLS) may be used to predict the presence, extent and severity of CAD according to coronary angiographic findings in patients with chronic stable angina. Methods: 2D-STE and coronary angiography were performed on 100 individuals with suspected stable angina pectoris who had normal resting conventional echocardiography. Global longitudinal strain were assessed and were correlated with coronary angiography for each patient. Results: Statistically significant difference was found when comparing the mean GLS among patients with normal coronaries and different degrees of coronary artery disease (CAD).Mean GLS was – 20.76±1.39, -17.66±0.65, - 16.05±0.58 and -14.22±0.65 for normal/minor, single vessel, two vessels and three vessels respectively(p<0.001). Patients with significant left main (LM) stenosis had GLS of 14.41±1.27 compared with GLS of 17.1±1.91in patients without LM stenosis (p=<0.001). In our study cutoff value for detection of single vessel disease was -18.300 with good sensitivity and specificity (100% and 96.6%, respectively) with AUC (Area Under the Curve) 0.996 and p value< 0.001.
Downloads
References
Task Force M, Montalescot G, Sechtem U, Achenbach S, Andreotti F, Arden C, Budaj A, Bugiardini R, Crea F, Cuisset T, et al. 2013 ESC guidelines on the management of stable coronary artery disease: the task force on the management of stable coronary artery disease of the European Society of Cardiology.Eur Heart J. 2013;34(38):2949–3003.
Buechel RR, Kaufmann BA, Tobler D, Wild D, Zellweger MJ. Non-invasive nuclear myocardial perfusion imaging improves the diagnostic yield of invasive coronary angiography. Eur Heart J Cardiovasc Imaging. 2015;16(8):842–7.
Sicari R, Cortigiani L. The clinical use of stress echocardiography in ischemic heart disease.Cardiovasc Ultrasound. 2017;15(1):7.
Parato VM, Mehta A, Delfino D, et al. Resting echocardiography for the early detection of acute coronary syndromes in chest pain unit patients. Echocardiography 2010;27:597.
Tsai WC, Liu YW, Huang YY, et al. Diagnostic value ofsegmental longitudinal strain by automated function imaging incoronary artery disease without left ventricular dysfunction. J AmSocEchocardiogr 2010;23:1183–9.
Hoit BD. Strain and strain rate echocardiography and coronary artery disease. CirculCardiovascImag 2011;4:179–90.
Jasaityte R, Heyde B, D’hooge J. Current state of three-dimensional myocardial strain estimation using echocardiography. J Am SocEchocardiogr 2013;26:15–28.
Nesbitt GC, Mankad S, Oh JK. Strain imaging in echocardiography: methods and clinical applications. Int J Cardiovascu Imaging. 2009;25(Suppl 1):9–22.)
Ng AC, Sitges M, Pham PN, et al. Incremental value of 2-dimensional speckle tracking strain imaging to wall motion analysis for detection of coronary artery disease in patients undergoing dobutamine stress echocardiography. Am Heart J2009;158:836–44.
Smiseth OA, Torp H, Opdahl A, Haugaa KH, Urheim S. Myocardial strain imaging: how useful is it in clinical decision making?. (2016) European heart journal. 37 (15): 1196-207.
Lopez-Candales A, Hernandez-Suarez DF. Strain Imaging Echocardiography: What Imaging Cardiologists Should Know. (2017) Current cardiology reviews. 13 (2): 118-129.
Scatteia A, Baritussio A, Bucciarelli-Ducci C. Strain imaging using cardiac magnetic resonance. (2017) Heart failure reviews. 22 (4): 465-476.
Zuo H, Yan J, Zeng H, et al. Diagnostic power of longitudinal strain at rest for the detection of obstructive coronary artery disease in patients with type 2 diabetes mellitus. Ultrasound Med Biol. 2015;41:89–98.
ShaimaaMoustafa, Khalid Elrabat, FathySwailem, AlaaGalal. The correlation between speckle tracking echocardiography and coronary artery disease in patients with suspected stable angina pectoris.Indian Heart J. 70 (2018) 379–386
Radwan Hanan. Ekhlas Hussein Value of global longitudinal strain by two dimensional speckle tracking echocardiography in predicting coronary artery disease severity. Egyp Heart J. 2017;10.1016/j.ehj.2016.08.001.
Biering-Sorensen T, Hoffmann S, Mogelvang R, ZeebergIversen A, GalatiusS,Fritz-Hansen T, Bech J, Jensen JS. Myocardial strain analysis by 2-dimensional speckle tracking echocardiography improves diagnostics of coronary artery stenosis in stable angina pectoris. CircCardiovasc Imaging 2014;7:58_65.
Montgomery DE, Puthumana JJ, Fox JM, OgunyankinKO.Global longitudinal strain aids the detection of non-obstructive coronary artery disease in the resting echocardiogram. Euro HeartJCardiovascImag 2012;13:579–87.
Gaibazzi Nicola, Pigazzani Filippo, Reverberi Claudio, Porter Thomas R. Rest global longitudinal 2 D strain to detect coronary artery disease in patients undergoing stress echocardiography: a comparison with wall-motion and coronary flow reserve responses. Echo Res Pract. 2014;1:61–70.
Bakhoum Sameh W.G., TahaHesham S., Abdelmonem Yasser Y., Mirette A.S. Fahim Value of resting myocardial deformation assessment by two dimensional speckle tracking echocardiography to predict the presence, extent and localization of coronary artery affection in patients with suspected stable coronary artery disease. Egypt Heart J. 2016;68:171–179.
Vrettos A., Dawson D., N.Grigoratos C., Nihoyannopoulos P. Correlation between global longitudinal peak systolic strain and coronary artery disease severity as assessed by the angiographically derived SYNTAX score. Echo Res Pract. 2016;3:29–34.
Smedsrud MK, Sarvari S, Haugaa KH, Gjesdal O, Orn S, Aaberge L, Smiseth OA, Edvardsen T. Duration of myocardial early systolic lengthening predicts the presence of significant coronary artery disease. J Am CollCardiol 2012;60:1086_1093.
Shimoni S, Gendelman G, Ayzenberg O, Smirin N, Lysyansky P, Edri O, Deutsch L, Caspi A, Friedman Z. Differential effects of coronary artery stenosis on myocardial function: the value of myocardial strain analysis for the detection of coronary artery disease. J Am SocEchocardiogr. 2011;24:748–757.
Nucifora G, Schuijf JD, Delgado V, Bertini M, Scholte AJ, Ng AC, van Werkhoven JM, Jukema JW, Holman ER, van der Wall EE, Bax JJ. Incremental value of subclinical left ventricular systolic dysfunction for the identification of patients with obstructive coronary artery disease. Am Heart J. 2010;159:148–157.
Evensen K, Sarvari S, Rønning M, et al. Carotid artery intimamedia thickness is closely related to impaired left ventricular function in patients with coronary artery disease: a single-centre, blinded, non-randomized study. Cardiovas Ultrasound 2014;12:39.
Nyandra, M., Kartiko, B.H., Susanto, P.C., Supriyati, A., Suryasa, W. (2018). Education and training improve quality of life and decrease depression score in elderly population. Eurasian Journal of Analytical Chemistry, 13(2), 371-377.
Billehaug N, Vidar R, Edvardsen T, et al. Diagnostic accuracy of left ventricular longitudinal function by speckle tracking echocardiography to predict significant coronary artery stenosis. BMC Med Ima 2015;15:25.
Choi JO, Cho SW, Song YB, Cho SJ, Song BG, Lee SC, Park SW. Longitudinal 2D strain at rest predicts the presence of left main and three vessel coronary artery disease in patients without regional wall motion abnormality. Eur J Echocardiogr. 2009;10:695–701.
Xie MY, Yin JB, Lv Q, Wang J. Assessment of the left ventricular systolic function in multi-vessel coronary artery disease with normal wall motion by two dimensional speckle tracking echocardiography. Eur Rev Med Pharmacol Sci.2015;19:3928–3934.
Tanaka H, Chikamori T, Hida S, et al. Relationship of SYNTAX score to myocardial ischemia as assessed on myocardial perfusion imaging. Circ J. 2013;77:2772–2777.
Published
How to Cite
Issue
Section
Copyright (c) 2022 International journal of health sciences
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Articles published in the International Journal of Health Sciences (IJHS) are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJHS right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.
Articles published in IJHS can be copied, communicated and shared in their published form for non-commercial purposes provided full attribution is given to the author and the journal. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
This copyright notice applies to articles published in IJHS volumes 4 onwards. Please read about the copyright notices for previous volumes under Journal History.
