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      Assessment of left ventricular twist by 3D ballistocardiography and seismocardiography compared with 2D STI echocardiography in a context of enhanced inotropism in healthy subjects

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          Abstract

          Ballistocardiography (BCG) and Seismocardiography (SCG) assess the vibrations produced by cardiac contraction and blood flow, respectively, by means of micro-accelerometers and micro-gyroscopes. From the BCG and SCG signals, maximal velocities (V Max), integral of kinetic energy ( iK), and maximal power (P Max) can be computed as scalar parameters, both in linear and rotational dimensions. Standard echocardiography and 2-dimensional speckle tracking imaging echocardiography were performed on 34 healthy volunteers who were infused with increasing doses of dobutamine (5–10–20 μg/kg/min). Linear V Max of BCG predicts the rates of left ventricular (LV) twisting and untwisting (both p <  0.0001). The linear P Max of both SCG and BCG and the linear iK of BCG are the best predictors of the LV ejection fraction (LVEF) ( p <  0.0001). This result is further confirmed by mathematical models combining the metrics from SCG and BCG signals with heart rate, in which both linear P Max and iK strongly correlate with LVEF (R = 0.7, p <  0.0001). In this setting of enhanced inotropism, the linear V Max of BCG, rather than the V Max of SCG, is the metric which best explains the LV twist mechanics, in particular the rates of twisting and untwisting. P Max and iK metrics are strongly associated with the LVEF and account for 50% of the variance of the LVEF.

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          Most cited references42

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          Guidelines for Performing a Comprehensive Transthoracic Echocardiographic Examination in Adults: Recommendations from the American Society of Echocardiography

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            Definitions for a common standard for 2D speckle tracking echocardiography: consensus document of the EACVI/ASE/Industry Task Force to standardize deformation imaging.

            Recognizing the critical need for standardization in strain imaging, in 2010, the European Association of Echocardiography (now the European Association of Cardiovascular Imaging, EACVI) and the American Society of Echocardiography (ASE) invited technical representatives from all interested vendors to participate in a concerted effort to reduce intervendor variability of strain measurement. As an initial product of the work of the EACVI/ASE/Industry initiative to standardize deformation imaging, we prepared this technical document which is intended to provide definitions, names, abbreviations, formulas, and procedures for calculation of physical quantities derived from speckle tracking echocardiography and thus create a common standard.
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              Measurement of ventricular torsion by two-dimensional ultrasound speckle tracking imaging.

              We sought to examine the accuracy/consistency of a novel ultrasound speckle tracking imaging (STI) method for left ventricular torsion (LVtor) measurement in comparison with tagged magnetic resonance imaging (MRI) (a time-domain method similar to STI) and Doppler tissue imaging (DTI) (a velocity-based approach). Left ventricular torsion from helically oriented myofibers is a key parameter of cardiac performance but is difficult to measure. Ultrasound STI is potentially suitable for measurement of angular motion because of its angle-independence. We acquired basal and apical short-axis left ventricular (LV) images in 15 patients to estimate LVtor by STI and compare it with tagged MRI and DTI. Left ventricular torsion was defined as the net difference of LV rotation at the basal and apical planes. For the STI analysis, we used high-frame (104 +/- 12 frames/s) second harmonic two-dimensional images. Data on 13 of 15 patients were usable for STI analysis, and LVtor profile estimated by STI strongly correlated with those by tagged MRI (y = 0.95x + 0.19, r = 0.93, p < 0.0001, analyzed by repeated-measures regression models). The STI torsional velocity profile also correlated well with that by the DTI method (y = 0.79x + 2.4, r = 0.76, p < 0.0001, by repeated-measures regression models) with acceptable bias. The STI estimation of LVtor is concordant with those analyzed by tagged MRI (data derived from tissue displacement) and also showed good agreement with those by DTI (data derived from tissue velocity). Ultrasound STI is a promising new method to assess LV torsional deformation and may make the assessment more available in clinical and research cardiology.
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                Author and article information

                Contributors
                Sofia.Morra@erasme.ulb.ac.be
                Amin.Hossein@ulb.be
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                12 January 2021
                12 January 2021
                2021
                : 11
                : 683
                Affiliations
                [1 ]GRID grid.4989.c, ISNI 0000 0001 2348 0746, Department of Cardiovascular Diseases, Erasme Hospital, , Université Libre de Bruxelles (ULB), ; Brussels, Belgium
                [2 ]GRID grid.4989.c, ISNI 0000 0001 2348 0746, Laboratory of Physic and Physiology (LPHYS), , Université Libre de Bruxelles (ULB), ; Brussels, Belgium
                [3 ]GRID grid.4989.c, ISNI 0000 0001 2348 0746, Research Centre in Epidemiology, Biostatistics and Clinical Research, School of Public Health, , Université Libre de Bruxelles (ULB), ; Brussels, Belgium
                Article
                79933
                10.1038/s41598-020-79933-4
                7804966
                33436841
                136b8e8e-58bb-4c79-b4e1-844658ffb6dc
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 13 April 2020
                : 14 December 2020
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100002661, Fonds De La Recherche Scientifique-FNRS;
                Funded by: FundRef https://doi.org/10.13039/100015400, Fonds Erasme;
                Funded by: Prodexa
                Award ID: PEA 4000110826
                Funded by: INNOVIRIS
                Categories
                Article
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                © The Author(s) 2021

                Uncategorized
                physiology,cardiology
                Uncategorized
                physiology, cardiology

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