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Computer-assisted determination of left ventricular endocardial borders reduces variability in the echocardiographic assessment of ejection fraction

BACKGROUND: Left ventricular size and function are important prognostic factors in heart disease. Their measurement is the most frequent reason for sending patients to the echo lab. These measurements have important implications for therapy but are sensitive to the skill of the operator. Earlier aut...

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Autores principales: Maret, Eva, Brudin, Lars, Lindstrom, Lena, Nylander, Eva, Ohlsson, Jan L, Engvall, Jan E
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2596088/
https://www.ncbi.nlm.nih.gov/pubmed/19014461
http://dx.doi.org/10.1186/1476-7120-6-55
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author Maret, Eva
Brudin, Lars
Lindstrom, Lena
Nylander, Eva
Ohlsson, Jan L
Engvall, Jan E
author_facet Maret, Eva
Brudin, Lars
Lindstrom, Lena
Nylander, Eva
Ohlsson, Jan L
Engvall, Jan E
author_sort Maret, Eva
collection PubMed
description BACKGROUND: Left ventricular size and function are important prognostic factors in heart disease. Their measurement is the most frequent reason for sending patients to the echo lab. These measurements have important implications for therapy but are sensitive to the skill of the operator. Earlier automated echo-based methods have not become widely used. The aim of our study was to evaluate an automatic echocardiographic method (with manual correction if needed) for determining left ventricular ejection fraction (LVEF) based on an active appearance model of the left ventricle (syngo(®)AutoEF, Siemens Medical Solutions). Comparisons were made with manual planimetry (manual Simpson), visual assessment and automatically determined LVEF from quantitative myocardial gated single photon emission computed tomography (SPECT). METHODS: 60 consecutive patients referred for myocardial perfusion imaging (MPI) were included in the study. Two-dimensional echocardiography was performed within one hour of MPI at rest. Image quality did not constitute an exclusion criterion. Analysis was performed by five experienced observers and by two novices. RESULTS: LVEF (%), end-diastolic and end-systolic volume/BSA (ml/m(2)) were for uncorrected AutoEF 54 ± 10, 51 ± 16, 24 ± 13, for corrected AutoEF 53 ± 10, 53 ± 18, 26 ± 14, for manual Simpson 51 ± 11, 56 ± 20, 28 ± 15, and for MPI 52 ± 12, 67 ± 26, 35 ± 23. The required time for analysis was significantly different for all four echocardiographic methods and was for uncorrected AutoEF 79 ± 5 s, for corrected AutoEF 159 ± 46 s, for manual Simpson 177 ± 66 s, and for visual assessment 33 ± 14 s. Compared with the expert manual Simpson, limits of agreement for novice corrected AutoEF was lower than for novice manual Simpson (0.8 ± 10.5 vs. -3.2 ± 11.4 LVEF percentage points). Calculated for experts and with LVEF (%) categorized into < 30, 30–44, 45–54 and ≥ 55, kappa measure of agreement was moderate (0.44–0.53) for all method comparisons (uncorrected AutoEF not evaluated). CONCLUSION: Corrected AutoEF reduces the variation in measurements compared with manual planimetry, without increasing the time required. The method seems especially suited for unexperienced readers.
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spelling pubmed-25960882008-12-05 Computer-assisted determination of left ventricular endocardial borders reduces variability in the echocardiographic assessment of ejection fraction Maret, Eva Brudin, Lars Lindstrom, Lena Nylander, Eva Ohlsson, Jan L Engvall, Jan E Cardiovasc Ultrasound Research BACKGROUND: Left ventricular size and function are important prognostic factors in heart disease. Their measurement is the most frequent reason for sending patients to the echo lab. These measurements have important implications for therapy but are sensitive to the skill of the operator. Earlier automated echo-based methods have not become widely used. The aim of our study was to evaluate an automatic echocardiographic method (with manual correction if needed) for determining left ventricular ejection fraction (LVEF) based on an active appearance model of the left ventricle (syngo(®)AutoEF, Siemens Medical Solutions). Comparisons were made with manual planimetry (manual Simpson), visual assessment and automatically determined LVEF from quantitative myocardial gated single photon emission computed tomography (SPECT). METHODS: 60 consecutive patients referred for myocardial perfusion imaging (MPI) were included in the study. Two-dimensional echocardiography was performed within one hour of MPI at rest. Image quality did not constitute an exclusion criterion. Analysis was performed by five experienced observers and by two novices. RESULTS: LVEF (%), end-diastolic and end-systolic volume/BSA (ml/m(2)) were for uncorrected AutoEF 54 ± 10, 51 ± 16, 24 ± 13, for corrected AutoEF 53 ± 10, 53 ± 18, 26 ± 14, for manual Simpson 51 ± 11, 56 ± 20, 28 ± 15, and for MPI 52 ± 12, 67 ± 26, 35 ± 23. The required time for analysis was significantly different for all four echocardiographic methods and was for uncorrected AutoEF 79 ± 5 s, for corrected AutoEF 159 ± 46 s, for manual Simpson 177 ± 66 s, and for visual assessment 33 ± 14 s. Compared with the expert manual Simpson, limits of agreement for novice corrected AutoEF was lower than for novice manual Simpson (0.8 ± 10.5 vs. -3.2 ± 11.4 LVEF percentage points). Calculated for experts and with LVEF (%) categorized into < 30, 30–44, 45–54 and ≥ 55, kappa measure of agreement was moderate (0.44–0.53) for all method comparisons (uncorrected AutoEF not evaluated). CONCLUSION: Corrected AutoEF reduces the variation in measurements compared with manual planimetry, without increasing the time required. The method seems especially suited for unexperienced readers. BioMed Central 2008-11-11 /pmc/articles/PMC2596088/ /pubmed/19014461 http://dx.doi.org/10.1186/1476-7120-6-55 Text en Copyright © 2008 Maret et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Maret, Eva
Brudin, Lars
Lindstrom, Lena
Nylander, Eva
Ohlsson, Jan L
Engvall, Jan E
Computer-assisted determination of left ventricular endocardial borders reduces variability in the echocardiographic assessment of ejection fraction
title Computer-assisted determination of left ventricular endocardial borders reduces variability in the echocardiographic assessment of ejection fraction
title_full Computer-assisted determination of left ventricular endocardial borders reduces variability in the echocardiographic assessment of ejection fraction
title_fullStr Computer-assisted determination of left ventricular endocardial borders reduces variability in the echocardiographic assessment of ejection fraction
title_full_unstemmed Computer-assisted determination of left ventricular endocardial borders reduces variability in the echocardiographic assessment of ejection fraction
title_short Computer-assisted determination of left ventricular endocardial borders reduces variability in the echocardiographic assessment of ejection fraction
title_sort computer-assisted determination of left ventricular endocardial borders reduces variability in the echocardiographic assessment of ejection fraction
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2596088/
https://www.ncbi.nlm.nih.gov/pubmed/19014461
http://dx.doi.org/10.1186/1476-7120-6-55
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