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A diagnostic, monitoring, and predictive tool for patients with complex valvular, vascular and ventricular diseases

Hemodynamics quantification is critically useful for accurate and early diagnosis, but we still lack proper diagnosticmethods for many cardiovascular diseases. Furthermore, as most interventions intend to recover the healthy condition, the ability to monitor and predict hemodynamics following interv...

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Autor principal: Keshavarz-Motamed, Zahra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181740/
https://www.ncbi.nlm.nih.gov/pubmed/32327673
http://dx.doi.org/10.1038/s41598-020-63728-8
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author Keshavarz-Motamed, Zahra
author_facet Keshavarz-Motamed, Zahra
author_sort Keshavarz-Motamed, Zahra
collection PubMed
description Hemodynamics quantification is critically useful for accurate and early diagnosis, but we still lack proper diagnosticmethods for many cardiovascular diseases. Furthermore, as most interventions intend to recover the healthy condition, the ability to monitor and predict hemodynamics following interventions can have significant impacts on saving lives. Predictive methods are rare, enabling prediction of effects of interventions, allowing timely and personalized interventions and helping critical clinical decision making about life-threatening risks based on quantitative data. In this study, an innovative non-invasive imaged-based patient-specific diagnostic, monitoring and predictive tool (called C3VI-CMF) was developed, enabling quantifying (1) details of physiological flow and pressures through the heart and circulatory system; (2) heart function metrics. C3VI-CMF also predicts the breakdown of the effects of each disease constituents on the heart function. Presently, neither of these can be obtained noninvasively in patients and when invasive procedures are undertaken, the collected metrics cannot be by any means as complete as the ones C3VI-CMF provides. C3VI-CMF purposefully uses a limited number of noninvasive input parameters all of which can be measured using Doppler echocardiography and sphygmomanometer. Validation of C3VI-CMF, against cardiac catheterization in forty-nine patients with complex cardiovascular diseases, showed very good agreement with the measurements.
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spelling pubmed-71817402020-04-29 A diagnostic, monitoring, and predictive tool for patients with complex valvular, vascular and ventricular diseases Keshavarz-Motamed, Zahra Sci Rep Article Hemodynamics quantification is critically useful for accurate and early diagnosis, but we still lack proper diagnosticmethods for many cardiovascular diseases. Furthermore, as most interventions intend to recover the healthy condition, the ability to monitor and predict hemodynamics following interventions can have significant impacts on saving lives. Predictive methods are rare, enabling prediction of effects of interventions, allowing timely and personalized interventions and helping critical clinical decision making about life-threatening risks based on quantitative data. In this study, an innovative non-invasive imaged-based patient-specific diagnostic, monitoring and predictive tool (called C3VI-CMF) was developed, enabling quantifying (1) details of physiological flow and pressures through the heart and circulatory system; (2) heart function metrics. C3VI-CMF also predicts the breakdown of the effects of each disease constituents on the heart function. Presently, neither of these can be obtained noninvasively in patients and when invasive procedures are undertaken, the collected metrics cannot be by any means as complete as the ones C3VI-CMF provides. C3VI-CMF purposefully uses a limited number of noninvasive input parameters all of which can be measured using Doppler echocardiography and sphygmomanometer. Validation of C3VI-CMF, against cardiac catheterization in forty-nine patients with complex cardiovascular diseases, showed very good agreement with the measurements. Nature Publishing Group UK 2020-04-23 /pmc/articles/PMC7181740/ /pubmed/32327673 http://dx.doi.org/10.1038/s41598-020-63728-8 Text en © The Author(s) 2020 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Keshavarz-Motamed, Zahra
A diagnostic, monitoring, and predictive tool for patients with complex valvular, vascular and ventricular diseases
title A diagnostic, monitoring, and predictive tool for patients with complex valvular, vascular and ventricular diseases
title_full A diagnostic, monitoring, and predictive tool for patients with complex valvular, vascular and ventricular diseases
title_fullStr A diagnostic, monitoring, and predictive tool for patients with complex valvular, vascular and ventricular diseases
title_full_unstemmed A diagnostic, monitoring, and predictive tool for patients with complex valvular, vascular and ventricular diseases
title_short A diagnostic, monitoring, and predictive tool for patients with complex valvular, vascular and ventricular diseases
title_sort diagnostic, monitoring, and predictive tool for patients with complex valvular, vascular and ventricular diseases
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181740/
https://www.ncbi.nlm.nih.gov/pubmed/32327673
http://dx.doi.org/10.1038/s41598-020-63728-8
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