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Background: A novel automated method for measuring left ventricular (LV) global longitudinal strain (GLS) along the endocardium has advantages in terms of its rapid application and excellent reproducibility. However, it remains unclear whether the available normal range for conventional GLS using the manual method is applicable to the automated GLS method. This study aimed to compare automated GLS head-to-head with manual layer-specific GLS, and to identify whether a specialized normal reference range for automated GLS is needed and explore the main determinants.
Methods: In total, 1683 healthy volunteers (men, 43%; age, 18-80 years) were prospectively enrolled from 55 collaborating laboratories. LV GLS was measured using both manual layer-specific and automated methods.
Results: Automated GLS was higher than endocardial, mid-myocardial, and epicardial GLS. Women had a higher automated GLS than men. GLS had no significant age dependency in men, but first increased and then decreased with age in women. Accordingly, sex- and age-specific normal ranges for automated GLS were proposed. Moreover, GLS appeared to have different burdens in relation to dominant determinants between the sexes. GLS in men showed no dominant determinants; however, GLS in women correlated with age, body mass index, and heart rate.
Conclusions: Using the novel automated method, was LV GLS higher than when using the manual GLS method. The normal ranges of automated GLS stratified according to sex and age were provided, with dominant determinants showing sex disparities that require full consideration in clinical practice.
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http://dx.doi.org/10.1016/j.ijcard.2024.131886 | DOI Listing |
J Am Soc Echocardiogr
August 2025
Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway; Clinic of Cardiology, St. Olavs University Hospital, Trondheim, Norway.
Background: Left ventricular (LV) global longitudinal strain (GLS) offers advantages over LV ejection fraction, including improved diagnostic sensitivity, reproducibility, and prognostic value. However, current semi-automatic analyses are time-consuming and operator-dependent, impeding widespread adoption of GLS in routine clinical practice.
Objectives: We aimed to assess the feasibility, precision, and time-efficiency of GLS measurements using a deep learning (DL) platform that performs real-time GLS analysis during image acquisition and incorporates DL tools to support standardization, to evaluate whether DL-assisted acquisitions can enhance image quality metrics relevant to strain analyses.
Eur Heart J Imaging Methods Pract
July 2025
Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, PO Box 8905, Trondheim 7491, Norway.
Aims: The low reproducibility of echocardiographic measurements challenges the identification of subtle changes in left ventricular (LV) function. Deep learning (DL) methods enable real-time analysis of acquisitions and may improve echocardiography. The aim of this study was to evaluate the impact of DL-based guidance and automated measurements on the reproducibility of LV global longitudinal strain (GLS), end-diastolic (EDV) and end-systolic (ESV) volume, and ejection fraction (EF).
View Article and Find Full Text PDFIndian Heart J
June 2025
From Department of Cardiology, Cardiothoracic and Neurosciences Center, All India Institute of Medical Sciences, New Delhi. Electronic address:
Background: Hypertrophic cardiomyopathy (HCM) is a prevalent genetic cardiac disorder with variable clinical expression. While global data are available, phenotypic characterization of Indian HCM patients remains limited. Speckle-tracking echocardiography (STE)-derived global longitudinal strain (GLS) may serve as a surrogate marker of myocardial fibrosis in settings with limited access to cardiac magnetic resonance (CMR).
View Article and Find Full Text PDFEchocardiography
June 2025
Department of Cardiology, Faculty of Medicine, Beni-Suef University, Beni-Suef, Egypt.
Background: Coronary artery disease (CAD) is one of the causes of morbidity and death worldwide. Recently, speckle tracking technologies allowed the assessment of the strain of each myocardial segment in an automated method that may decrease inter-operator variability.
Objective: To compare the effectiveness of two-dimensional speckle tracking global longitudinal strain (GLS) during dobutamine stress echocardiography (DSE) with myocardial perfusion imaging (MPI) using single photon emission computed tomography (MPI SPECT) in the diagnosis of CAD.
Animals (Basel)
May 2025
Department of Veterinary Clinical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Dyrlægevej 16, 1870 Frederiksberg, Denmark.
Two-dimensional speckle-tracking echocardiography (2D-STE) is an advanced imaging technique that offers quantitative insights into myocardial function by analyzing the motion of speckles created during ultrasound-tissue interactions. This study aims to evaluate the reliability of 2D-STE by examining the impact of key technical parameters on global longitudinal strain (GLS) measurement accuracy and comparing two speckle-tracking analysis methods provided by GE Healthcare: quantitative analysis of the 2D strain (2D strain) and automated function imaging (AFI). The prospective study consisted of two cohorts.
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