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Fully automated quantification of biventricular volumes and function in cardiovascular magnetic resonance: applicability to clinical routine settings

BACKGROUND: Cardiovascular magnetic resonance (CMR) represents the clinical gold standard for the assessment of biventricular morphology and function. Since manual post-processing is time-consuming and prone to observer variability, efforts have been directed towards automated volumetric quantificat...

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Autores principales: Backhaus, Sören J., Staab, Wieland, Steinmetz, Michael, Ritter, Christian O., Lotz, Joachim, Hasenfuß, Gerd, Schuster, Andreas, Kowallick, Johannes T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8059518/
https://www.ncbi.nlm.nih.gov/pubmed/31023305
http://dx.doi.org/10.1186/s12968-019-0532-9
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author Backhaus, Sören J.
Staab, Wieland
Steinmetz, Michael
Ritter, Christian O.
Lotz, Joachim
Hasenfuß, Gerd
Schuster, Andreas
Kowallick, Johannes T.
author_facet Backhaus, Sören J.
Staab, Wieland
Steinmetz, Michael
Ritter, Christian O.
Lotz, Joachim
Hasenfuß, Gerd
Schuster, Andreas
Kowallick, Johannes T.
author_sort Backhaus, Sören J.
collection PubMed
description BACKGROUND: Cardiovascular magnetic resonance (CMR) represents the clinical gold standard for the assessment of biventricular morphology and function. Since manual post-processing is time-consuming and prone to observer variability, efforts have been directed towards automated volumetric quantification. In this study, we sought to validate the accuracy of a novel approach providing fully automated quantification of biventricular volumes and function in a “real-world” clinical setting. METHODS: Three-hundred CMR examinations were randomly selected from the local data base. Fully automated quantification of left ventricular (LV) mass, LV and right ventricular (RV) end-diastolic and end-systolic volumes (EDV/ESV), stroke volume (SV) and ejection fraction (EF) were performed overnight using commercially available software (suiteHEART®, Neosoft, Pewaukee, Wisconsin, USA). Parameters were compared to manual assessments (QMass®, Medis Medical Imaging Systems, Leiden, Netherlands). Sub-group analyses were further performed according to image quality, scanner field strength, the presence of implanted aortic valves and repaired Tetralogy of Fallot (ToF). RESULTS: Biventricular automated segmentation was feasible in all 300 cases. Overall agreement between fully automated and manually derived LV parameters was good (LV-EF: intra-class correlation coefficient [ICC] 0.95; bias − 2.5% [SD 5.9%]), whilst RV agreement was lower (RV-EF: ICC 0.72; bias 5.8% [SD 9.6%]). Lowest agreement was observed in case of severely altered anatomy, e.g. marked RV dilation but normal LV dimensions in repaired ToF (LV parameters ICC 0.73–0.91; RV parameters ICC 0.41–0.94) and/or reduced image quality (LV parameters ICC 0.86–0.95; RV parameters ICC 0.56–0.91), which was more common on 3.0 T than on 1.5 T. CONCLUSIONS: Fully automated assessments of biventricular morphology and function is robust and accurate in a clinical routine setting with good image quality and can be performed without any user interaction. However, in case of demanding anatomy (e.g. repaired ToF, severe LV hypertrophy) or reduced image quality, quality check and manual re-contouring are still required. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12968-019-0532-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-80595182021-04-22 Fully automated quantification of biventricular volumes and function in cardiovascular magnetic resonance: applicability to clinical routine settings Backhaus, Sören J. Staab, Wieland Steinmetz, Michael Ritter, Christian O. Lotz, Joachim Hasenfuß, Gerd Schuster, Andreas Kowallick, Johannes T. J Cardiovasc Magn Reson Research BACKGROUND: Cardiovascular magnetic resonance (CMR) represents the clinical gold standard for the assessment of biventricular morphology and function. Since manual post-processing is time-consuming and prone to observer variability, efforts have been directed towards automated volumetric quantification. In this study, we sought to validate the accuracy of a novel approach providing fully automated quantification of biventricular volumes and function in a “real-world” clinical setting. METHODS: Three-hundred CMR examinations were randomly selected from the local data base. Fully automated quantification of left ventricular (LV) mass, LV and right ventricular (RV) end-diastolic and end-systolic volumes (EDV/ESV), stroke volume (SV) and ejection fraction (EF) were performed overnight using commercially available software (suiteHEART®, Neosoft, Pewaukee, Wisconsin, USA). Parameters were compared to manual assessments (QMass®, Medis Medical Imaging Systems, Leiden, Netherlands). Sub-group analyses were further performed according to image quality, scanner field strength, the presence of implanted aortic valves and repaired Tetralogy of Fallot (ToF). RESULTS: Biventricular automated segmentation was feasible in all 300 cases. Overall agreement between fully automated and manually derived LV parameters was good (LV-EF: intra-class correlation coefficient [ICC] 0.95; bias − 2.5% [SD 5.9%]), whilst RV agreement was lower (RV-EF: ICC 0.72; bias 5.8% [SD 9.6%]). Lowest agreement was observed in case of severely altered anatomy, e.g. marked RV dilation but normal LV dimensions in repaired ToF (LV parameters ICC 0.73–0.91; RV parameters ICC 0.41–0.94) and/or reduced image quality (LV parameters ICC 0.86–0.95; RV parameters ICC 0.56–0.91), which was more common on 3.0 T than on 1.5 T. CONCLUSIONS: Fully automated assessments of biventricular morphology and function is robust and accurate in a clinical routine setting with good image quality and can be performed without any user interaction. However, in case of demanding anatomy (e.g. repaired ToF, severe LV hypertrophy) or reduced image quality, quality check and manual re-contouring are still required. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12968-019-0532-9) contains supplementary material, which is available to authorized users. BioMed Central 2019-04-25 /pmc/articles/PMC8059518/ /pubmed/31023305 http://dx.doi.org/10.1186/s12968-019-0532-9 Text en © The Author(s). 2019 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/ (https://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/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Backhaus, Sören J.
Staab, Wieland
Steinmetz, Michael
Ritter, Christian O.
Lotz, Joachim
Hasenfuß, Gerd
Schuster, Andreas
Kowallick, Johannes T.
Fully automated quantification of biventricular volumes and function in cardiovascular magnetic resonance: applicability to clinical routine settings
title Fully automated quantification of biventricular volumes and function in cardiovascular magnetic resonance: applicability to clinical routine settings
title_full Fully automated quantification of biventricular volumes and function in cardiovascular magnetic resonance: applicability to clinical routine settings
title_fullStr Fully automated quantification of biventricular volumes and function in cardiovascular magnetic resonance: applicability to clinical routine settings
title_full_unstemmed Fully automated quantification of biventricular volumes and function in cardiovascular magnetic resonance: applicability to clinical routine settings
title_short Fully automated quantification of biventricular volumes and function in cardiovascular magnetic resonance: applicability to clinical routine settings
title_sort fully automated quantification of biventricular volumes and function in cardiovascular magnetic resonance: applicability to clinical routine settings
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8059518/
https://www.ncbi.nlm.nih.gov/pubmed/31023305
http://dx.doi.org/10.1186/s12968-019-0532-9
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