Accurate assessment of LV function using the first automated 2D-border detection algorithm for small animals - evaluation and application to models of LV dysfunction

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Abstract

Echocardiography is the most commonly applied technique for non-invasive assessment of cardiac function in small animals. Manual tracing of endocardial borders is time consuming and varies with operator experience. Therefore, we aimed to evaluate a novel automated two-dimensional software algorithm (Auto2DE) for small animals and compare it to the standard use of manual 2D-echocardiographic assessment (2DE). We hypothesized that novel Auto2DE will provide rapid and robust data sets, which are in agreement with manually assessed data of animals.

2DE and Auto2DE were carried out using a high-resolution imaging-system for small animals. First, validation cohorts of mouse and rat cine loops were used to compare Auto2DE against 2DE. These data were stratified for image quality by a blinded expert in small animal imaging. Second, we evaluated 2DE and Auto2DE in four mouse models and four rat models with different cardiac pathologies.

Automated assessment of LV function by 2DE was faster than conventional 2DE analysis and independent of operator experience levels. The accuracy of Auto2DE-assessed data in healthy mice was dependent on cine loop quality, with excellent agreement between Auto2DE and 2DE in cine loops with adequate quality. Auto2DE allowed for valid detection of impaired cardiac function in animal models with pronounced cardiac phenotypes, but yielded poor performance in diabetic animal models independent of image quality.

Auto2DE represents a novel automated analysis tool for rapid assessment of LV function, which is suitable for data acquisition in studies with good and very good echocardiographic image quality, but presents systematic problems in specific pathologies.

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Most cited references 26

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Selective Mineralocorticoid Receptor Cofactor Modulation as Molecular Basis for Finerenone’s Antifibrotic Activity

Jana Grune, Niklas Beyhoff, Elia Smeir … (2018)

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Performance of 3-dimensional echocardiography in measuring left ventricular volumes and ejection fraction: a systematic review and meta-analysis.

Jennifer L Dorosz, Dennis Lezotte, David A. Weitzenkamp … (2012)

The primary aim of this systematic review is to objectively evaluate the test performance characteristics of three-dimensional echocardiography (3DE) in measuring left ventricular (LV) volumes and ejection fraction (EF). Despite its growing use in clinical laboratories, the accuracy of 3DE has not been studied on a large scale. It is unclear if this technology offers an advantage over traditional two-dimensional (2D) methods. We searched for studies that compared LV volumes and EF measured by 3DE and cardiac magnetic resonance (CMR) imaging. A subset of those also compared standard 2D methods with CMR. We used meta-analyses to determine the overall bias and limits of agreement of LV end-diastolic volume (EDV), end-systolic volume (ESV), and EF measured by 3DE and 2D echocardiography (2DE). Twenty-three studies (1,638 echocardiograms) were included. The pooled biases ± 2 SDs for 3DE were -19.1 ± 34.2 ml, -10.1 ± 29.7 ml, and - 0.6 ± 11.8% for EDV, ESV, and EF, respectively. Nine studies also included data from 2DE, where the pooled biases were -48.2 ± 55.9 ml, -27.7 ± 45.7 ml, and 0.1 ± 13.9% for EDV, ESV, and EF, respectively. In this subset, the difference in bias between 3DE and 2D volumes was statistically significant (p = 0.01 for both EDV and ESV). The difference in variance was statistically significant (p < 0.001) for all 3 measurements. Three-dimensional echocardiography underestimates volumes and has wide limits of agreement, but compared with traditional 2D methods in these carefully performed studies, 3DE is more accurate for volumes and more precise in all 3 measurements. Copyright © 2012 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

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Fully Automated Versus Standard Tracking of Left Ventricular Ejection Fraction and Longitudinal Strain

Denisa Muraru, Sebastiaan Bekkers, Chirag Bavishi … (2015)

Echocardiographic determination of ejection fraction (EF) by manual tracing of endocardial borders is time consuming and operator dependent, whereas visual assessment is inherently subjective.

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Author and article information

Contributors

Wolfgang M. Kuebler: +49 (0)30 450 528 501 , wolfgang.kuebler@charite.de

Journal

Journal ID (nlm-ta): Cardiovasc Ultrasound

Journal ID (iso-abbrev): Cardiovasc Ultrasound

Title: Cardiovascular Ultrasound

Publisher: BioMed Central (London )

ISSN (Electronic): 1476-7120

Publication date (Electronic): 22 April 2019

Publication date PMC-release: 22 April 2019

Publication date Collection: 2019

Volume: 17

Electronic Location Identifier: 7

Affiliations

[1 ]ISNI 0000 0001 2218 4662, GRID grid.6363.0, Institute of Physiology, Charité-Universitätsmedizin Berlin, ; Charitéplatz 1, 10117 Berlin, Germany

[2 ]ISNI 0000 0004 5937 5237, GRID grid.452396.f, German Centre for Cardiovascular Research (DZHK), partner site Berlin, ; 10117 Berlin, Germany

[3 ]ISNI 0000 0001 2218 4662, GRID grid.6363.0, Institute of Pharmacology, , Center for Cardiovascular Research, Charité - Universitaetsmedizin Berlin, ; Hessische Straße 3-4, 10115 Berlin, Germany

[4 ]ISNI 0000 0001 1014 0849, GRID grid.419491.0, Experimental and Clinical Research Center, a joint cooperation of Max-Delbrück Center for Molecular Medicine and Charité - Universitätsmedizin Berlin, ; 13125 Berlin, Germany

[5 ]GRID grid.484013.a, Berlin Institute of Health (BIH), ; Berlin, Germany

[6 ]ISNI 0000 0001 1014 0849, GRID grid.419491.0, Max-Delbrück Center for Molecular Medicine, ; 13125 Berlin, Germany

[7 ]GRID grid.418434.e, Berlin – Brandenburger Center for Regenerative Therapies (BCRT), Charité – Universitätsmedizin Berlin, Campus Virchow Klinikum (CVK), ; Berlin, Germany

[8 ]ISNI 0000 0004 0390 0098, GRID grid.418213.d, Department of Molecular Toxicology, , German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), ; 14558 Nuthetal, Germany

[9 ]GRID grid.418434.e, Department of Internal Medicine and Cardiology, , Charité – Universitätsmedizin Berlin, Campus Virchow Klinikum (CVK), ; Berlin, Germany

[10 ]ISNI 0000 0001 0549 9953, GRID grid.418468.7, HELIOS-Klinikum, ; Berlin, Germany

[11 ]GRID grid.452622.5, German Center for Diabetes Research (DZD), ; 85764 Muenchen-Neuherberg, Germany

[12 ]ISNI 0000 0001 2248 7639, GRID grid.7468.d, Charité – Universitätsmedizin Berlin, Freie Universität Berlin, , Humboldt-Universität zu Berlin and BIH, ; Berlin, Germany

[13 ]ISNI 0000 0001 2157 2938, GRID grid.17063.33, Departments of Surgery and Physiology, , University of Toronto and Keenan Research Centre for Biomedical Science of St. Michael’s, ; Toronto, Canada

Article

Publisher ID: 156

DOI: 10.1186/s12947-019-0156-0

PMC ID: 6477743

PubMed ID: 31010431

SO-VID: c15336a6-5c71-4b61-81fc-f98bbf9a289c

License:

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

History

Date received : 14 February 2019

Date accepted : 26 March 2019

Custom metadata

ScienceOpen disciplines: Cardiovascular Medicine

Keywords: echocardiography,automated border detection,lv systolic function,small animals

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ScienceOpen disciplines: Cardiovascular Medicine

Keywords: echocardiography, automated border detection, lv systolic function, small animals

Accurate assessment of LV function using the first automated 2D-border detection algorithm for small animals - evaluation and application to models of LV dysfunction

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Karger: Cardiovascular System

Most cited references 26

Selective Mineralocorticoid Receptor Cofactor Modulation as Molecular Basis for Finerenone’s Antifibrotic Activity

Performance of 3-dimensional echocardiography in measuring left ventricular volumes and ejection fraction: a systematic review and meta-analysis.

Fully Automated Versus Standard Tracking of Left Ventricular Ejection Fraction and Longitudinal Strain

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