Impact of three-dimensional global longitudinal strain for patients with acute myocardial infarction

2020 ◽  
Author(s):  
Noriaki Iwahashi ◽  
Jin Kirigaya ◽  
Takeru Abe ◽  
Mutsuo Horii ◽  
Noriko Toya ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Heart Failure ◽  
Odds Ratio ◽  
Cardiac Death ◽  
Speckle Tracking ◽  
Longitudinal Strain ◽  
Speckle Tracking Echocardiography ◽  
Global Longitudinal Strain ◽  
Three Dimensional ◽  
Secondary Endpoint

Abstract Aims In patients with ST-segment elevation myocardial infarction (STEMI), predicting left ventricular (LV) remodelling (LVR) and prognosis is important. We explored the clinical usefulness of three-dimensional (3D) speckle-tracking echocardiography to predict LVR and prognosis in STEMI. Methods and results The study group comprised 255 first STEMI patients (65 years; 210 men) treated with primary percutaneous coronary intervention between April 2008 and May 2012 at Yokohama City University Medical Center. Baseline global longitudinal strain (GLS) was measured with two-dimensional (2D) and 3D speckle-tracking echocardiography. Within 48 of admission, standard 2D echocardiography and 3D full-volume imaging were performed, and 2D-GLS and 3D-GLS were calculated. Infarct size was estimated by 99mTc-sestamibi single-photon emission computed tomography. Echocardiography was performed at 1 year repeatedly in 239 patients. The primary endpoint was LVR, defined as an increase of 20% of LV end-diastolic volume index and major adverse cardiac and cerebrovascular events (MACE: cardiac death, non-fatal MI, heart failure, and ischaemic stroke) at 1 year, and the secondary endpoint was cardiac death and heart failure. Patients were followed for 1 year; 64, 25, and 16 patients experienced LVR, MACE, and the secondary endpoint, respectively. Multivariate analysis revealed that 3D-GLS was the strongest predictor of LVR (odds ratio = 1.437, 95% CI: 1.047–2.257, P = 0.02), MACE (odds ratio = 1.443, 95% CI: 1.240–1.743, P = 0.0002), and the secondary end point (odds ratio = 1.596, 95% CI: 1.17–1.56, P < 0.0001). Receiver-operating characteristic curve analysis showed that 3D-GLS was superior to 2D-GLS in predicting LVR and 1-year prognosis. Conclusion 3D-GLS obtained immediately after STEMI is independently associated with LVR and 1-year prognosis.

scholarly journals Assessment of left ventricular contractility in acute inferior wall myocardial infarction by speckle tracking echocardiography

2021 ◽  
Vol 5 (4) ◽  
pp. 169-175
Author(s):  
E.G. Akramova ◽  
◽  
Е.V. Vlasova ◽  
◽  
Keyword(s):  
Myocardial Infarction ◽  
Ejection Fraction ◽  
Speckle Tracking ◽  
Longitudinal Strain ◽  
Speckle Tracking Echocardiography ◽  
Global Longitudinal Strain ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Inferior Wall ◽  
Ventricular Ejection Fraction

Aim: to assess the results of speckle tracking echocardiography (STE) in patients of working age with acute inferior wall myocardial infarction (MI) in the early period after coronary stenting. Patients and Methods: STE was performed using EPIQ-7 Ultrasound Machine (Philips, USA) in 55 patients with acute inferior wall MI one week after percutaneous coronary intervention and 29 healthy individuals of working age. Patients with acute inferior wall MI were divided into two subgroups, i.e., with (n=45) or without (n=10) areas of local contractile impairment (dyskinesia, akinesia, hypokinesia). Results: the most common cause of MI was the occlusion of the right coronary artery (82.4% in subgroup 1 and 60% in subgroup 2) in multivascular involvement (84.4% and 90%. respectively). In patients with local contractile impairment, reduced left ventricular ejection fraction (EF) was reported in 28.9%, global longitudinal strain in 86.7%, and global circular strain in 76.7%. Meanwhile, in patients without local contractile impairment, left ventricular ejection fraction (LV EF) was within normal ranges, global longitudinal strain was reported in 100% and global circumferential strain in 70%. The presence and severity of local dysfunction did not affect the reduction in segmental strain (median varied from -9% to -15%). In inferior wall MI, the abnormal regional longitudinal strain of 6 LV segments (basal and mid inferoseptal, inferior, and inferolateral) was reported in both hypokinesia and normokinesia. Conclusions: ultrasound evaluation of systolic LV function using STE is characterized by greater diagnostic value compared to the measurement of EF only and objectifies the efficacy of surgery. Quantitative assessment of the recovery of both global and local systolic contractility is another advantage of STE allowing for personalized treatment. KEYWORDS: inferior wall myocardial infarction, echocardiography, speckle tracking technology, percutaneous coronary intervention, ejection fraction. FOR CITATION: Akramova E.G., Vlasova Е.V. Assessment of left ventricular contractility in acute inferior wall myocardial infarction by speckle tracking echocardiography. Russian Medical Inquiry. 2021;5(4):169–175 (in Russ.). DOI: 10.32364/2587-6821-2021-5-4-169-175.

scholarly journals 545 Deep learning/artificial intelligence for automatic measurement of global longitudinal strain by echocardiography

2020 ◽  
Vol 21 (Supplement_1) ◽  
Author(s):  
I M Salte ◽  
A Oestvik ◽  
E Smistad ◽  
D Melichova ◽  
T M Nguyen ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Heart Failure ◽  
Acute Myocardial Infarction ◽  
Deep Learning ◽  
Ejection Fraction ◽  
Speckle Tracking ◽  
Longitudinal Strain ◽  
Global Longitudinal Strain ◽  
Limits Of Agreement ◽  
Lv Ejection Fraction

Abstract Funding Acknowledgements The Norwegian Health Association, South-Eastern Norway regional health Authority and the national program for clinical therapy research (KLINBEFORSK). Background Global longitudinal strain (GLS) by echocardiography has incremental prognostic value in patients with acute myocardial infarction and heart failure compared to left ventricular (LV) ejection fraction and provides more reproducible measurements of LV function. Recent advances in machine learning for image analysis now open the possibility for robust fully automated tracing of the LV and measurement of global longitudinal strain (GLS), without any operator input. This could make real-time GLS possible and remove inter-reader variability, thus resulting in saved time and improved test-retest reliability. The aim of the present study was to investigate how measurements by this novel automatic method compares to conventional speckle tracking analyses of GLS. Methods 100 transthoracic echocardiographic examinations were included from a clinical database of patients with acute myocardial infarction or de-novo heart failure. Examinations were included consecutively and regardless of image quality. Simpson biplane LV ejection fraction ranged from 7 to 70%. Images of three standard apical planes from each examination were analysed using our novel and fully automated GLS method based on deep learning technology. The automated GLS measurements were compared to conventional speckle tracking GLS measurements of the same acquisitions using vendor specific format and software (EchoPAC, GE Healthcare), performed by a single experienced observer. Results GLS was -11.6 ± 4.5% and -12.8 ± 5.0% for the deep learning method and the conventional method, respectively. Bland-Altman analysis showed a bias of -0.7 ± 1,9% and 95% limits of agreement of -4,6 to 3.1. No clear value dependent bias was found by visual inspection (Figure A). Feasibility for measurement of GLS was 93% for the deep learning based method and 99% for the conventional method. The limits of agreement found in our study is comparable to findings in the intervendor comparison study by the EASCVI/ASE/Industry Task force to standardize deformation imaging. Conclusion This novel deep learning based method succeeds without any operator input to automatically identify and classify the three apical standard views, trace the myocardium, perform motion estimation and measure global longitudinal strain. This could further facilitate the clinical use of GLS as an important tool for enhancing clinical decision-making. Abstract 545 Figure.

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