Non-invasive estimation of left ventricular chamber stiffness using cardiovascular magnetic resonance and echocardiography

Background: Preclinical studies exploring the underlying mechanisms of elevated left ventricular (LV) chamber stiffness play a crucial role in developing new therapeutic strategies. However, there is a lack of systematic evaluation of imaging biomarkers of diastolic function against gold standard as...

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Main Authors: Ida Marie Hauge-Iversen, Einar S. Nordén, Arne Olav Melleby, Linn Espeland, Lili Zhang, Ivar Sjaastad, Emil Knut Stenersen Espe
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Journal of Cardiovascular Magnetic Resonance
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Online Access:http://www.sciencedirect.com/science/article/pii/S1097664725000110
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author Ida Marie Hauge-Iversen
Einar S. Nordén
Arne Olav Melleby
Linn Espeland
Lili Zhang
Ivar Sjaastad
Emil Knut Stenersen Espe
author_facet Ida Marie Hauge-Iversen
Einar S. Nordén
Arne Olav Melleby
Linn Espeland
Lili Zhang
Ivar Sjaastad
Emil Knut Stenersen Espe
author_sort Ida Marie Hauge-Iversen
collection DOAJ
description Background: Preclinical studies exploring the underlying mechanisms of elevated left ventricular (LV) chamber stiffness play a crucial role in developing new therapeutic strategies. However, there is a lack of systematic evaluation of imaging biomarkers of diastolic function against gold standard assessment of LV chamber stiffness in rodents. Therefore, we aimed to evaluate imaging biomarkers of diastolic function from cardiovascular magnetic resonance (CMR) and echocardiography in predicting the slope of the end-diastolic pressure-volume relationship (EDPVR) in rats. Methods: Sprague Dawley rats with varying degrees of myocardial stiffness induced by aortic constriction (n=38) and healthy controls (n=9) underwent echocardiography and CMR at approximately 13 weeks post-operation. Imaging biomarkers of diastolic function were evaluated for their ability to predict the EDPVR slope from pressure-volume recordings using regression analysis and receiver operating characteristics analysis. Results: Both CMR and echocardiographic imaging biomarkers, in particular those related to the left atrium and mitral flow, were able to predict the EDPVR slope in a rat model with varying stiffness. From CMR, native T1 values, peak early diastolic longitudinal strain rate (SRe(long)) and E/SRe(long), left atrial (LA) ejection fraction, isovolumetric relaxation time (IVRT), E/A and peak LA strain, correlated best with the EDPVR slope (|r|=0.54–0.72). From echocardiography, E/A, E, LA diameter, e’/a’, E/SRe(long) and IVRT correlated with the EDPVR slope (|r|=0.49–0.67), while E/e’, e’ and E-wave deceleration time demonstrated poor correlation (|r|=0.17–0.27). Receiver operating characteristics analysis indicated better performance of CMR imaging biomarkers than echocardiography in predicting increased EDPVR slope. Conclusions: Several diastolic imaging biomarkers commonly employed in preclinical studies have poor ability to predict cardiac chamber stiffness. Our study identifies several imaging biomarkers obtained from both echocardiography and CMR that are able to estimate LV chamber stiffness non-invasively, providing an important tool for future mechanistic research on myocardial stiffness.
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spelling doaj-art-1a9197497cd6478ea1dc9fc3c365dbe72025-08-20T02:08:46ZengElsevierJournal of Cardiovascular Magnetic Resonance1097-66472025-01-0127110184910.1016/j.jocmr.2025.101849Non-invasive estimation of left ventricular chamber stiffness using cardiovascular magnetic resonance and echocardiographyIda Marie Hauge-Iversen0Einar S. Nordén1Arne Olav Melleby2Linn Espeland3Lili Zhang4Ivar Sjaastad5Emil Knut Stenersen Espe6Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, Norway; Correspondence to: Institute for Experimental Medical Research, Oslo University Hospital, Kirkeveien 166, 0450 Oslo, Norway.Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, NorwayInstitute of Basic Medical Sciences, University of Oslo, Oslo, NorwayInstitute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, NorwayInstitute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, NorwayInstitute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, NorwayInstitute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, NorwayBackground: Preclinical studies exploring the underlying mechanisms of elevated left ventricular (LV) chamber stiffness play a crucial role in developing new therapeutic strategies. However, there is a lack of systematic evaluation of imaging biomarkers of diastolic function against gold standard assessment of LV chamber stiffness in rodents. Therefore, we aimed to evaluate imaging biomarkers of diastolic function from cardiovascular magnetic resonance (CMR) and echocardiography in predicting the slope of the end-diastolic pressure-volume relationship (EDPVR) in rats. Methods: Sprague Dawley rats with varying degrees of myocardial stiffness induced by aortic constriction (n=38) and healthy controls (n=9) underwent echocardiography and CMR at approximately 13 weeks post-operation. Imaging biomarkers of diastolic function were evaluated for their ability to predict the EDPVR slope from pressure-volume recordings using regression analysis and receiver operating characteristics analysis. Results: Both CMR and echocardiographic imaging biomarkers, in particular those related to the left atrium and mitral flow, were able to predict the EDPVR slope in a rat model with varying stiffness. From CMR, native T1 values, peak early diastolic longitudinal strain rate (SRe(long)) and E/SRe(long), left atrial (LA) ejection fraction, isovolumetric relaxation time (IVRT), E/A and peak LA strain, correlated best with the EDPVR slope (|r|=0.54–0.72). From echocardiography, E/A, E, LA diameter, e’/a’, E/SRe(long) and IVRT correlated with the EDPVR slope (|r|=0.49–0.67), while E/e’, e’ and E-wave deceleration time demonstrated poor correlation (|r|=0.17–0.27). Receiver operating characteristics analysis indicated better performance of CMR imaging biomarkers than echocardiography in predicting increased EDPVR slope. Conclusions: Several diastolic imaging biomarkers commonly employed in preclinical studies have poor ability to predict cardiac chamber stiffness. Our study identifies several imaging biomarkers obtained from both echocardiography and CMR that are able to estimate LV chamber stiffness non-invasively, providing an important tool for future mechanistic research on myocardial stiffness.http://www.sciencedirect.com/science/article/pii/S1097664725000110Imaging biomarkersCardiac imagingPreclinical researchDiastolic functionChamber stiffness
spellingShingle Ida Marie Hauge-Iversen
Einar S. Nordén
Arne Olav Melleby
Linn Espeland
Lili Zhang
Ivar Sjaastad
Emil Knut Stenersen Espe
Non-invasive estimation of left ventricular chamber stiffness using cardiovascular magnetic resonance and echocardiography
Journal of Cardiovascular Magnetic Resonance
Imaging biomarkers
Cardiac imaging
Preclinical research
Diastolic function
Chamber stiffness
title Non-invasive estimation of left ventricular chamber stiffness using cardiovascular magnetic resonance and echocardiography
title_full Non-invasive estimation of left ventricular chamber stiffness using cardiovascular magnetic resonance and echocardiography
title_fullStr Non-invasive estimation of left ventricular chamber stiffness using cardiovascular magnetic resonance and echocardiography
title_full_unstemmed Non-invasive estimation of left ventricular chamber stiffness using cardiovascular magnetic resonance and echocardiography
title_short Non-invasive estimation of left ventricular chamber stiffness using cardiovascular magnetic resonance and echocardiography
title_sort non invasive estimation of left ventricular chamber stiffness using cardiovascular magnetic resonance and echocardiography
topic Imaging biomarkers
Cardiac imaging
Preclinical research
Diastolic function
Chamber stiffness
url http://www.sciencedirect.com/science/article/pii/S1097664725000110
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