Juliana S da Silveira1, Brian A Scansen2, Peter A Wassenaar1, Brian Raterman1, Chethan Eleswarpu3, Ning Jin4, Xiaokui Mo5, Richard D White6, John D Bonagura2, Arunark Kolipaka7. 1. Department of Radiology, OSU College of Medicine, The Ohio State University, Columbus, OH, USA. 2. Department of Veterinary Clinical Sciences, OSU College of Veterinary Medicine, The Ohio State University, Columbus, OH, USA. 3. College of Biomedical Engineering, The Ohio State University, Columbus, OH, UTSA. 4. Siemens Medical Solutions, Malvern, PA USA. 5. Center for Biostatistics, The Ohio State University, Columbus, OH, USA. 6. Department of Radiology, OSU College of Medicine, The Ohio State University, Columbus, OH, USA; Department of Internal Medicine/Division of Cardiovascular Medicine, OSU College of Medicine, The Ohio State University, Columbus, OH, USA. 7. Department of Radiology, OSU College of Medicine, The Ohio State University, Columbus, OH, USA; Department of Internal Medicine/Division of Cardiovascular Medicine, OSU College of Medicine, The Ohio State University, Columbus, OH, USA. Electronic address: Arunark.Kolipaka@osumc.edu.
Abstract
INTRODUCTION: Myocardial stiffness is an important determinant of cardiac function and is currently invasively and indirectly assessed by catheter angiography. This study aims to demonstrate the feasibility of quantifying right ventricular (RV) stiffness noninvasively using cardiac magnetic resonance elastography (CMRE) in dogs with severe congenital pulmonary valve stenosis (PVS) causing RV hypertrophy, and compare it to remote myocardium in the left ventricle (LV). Additionally, correlations between stiffness and selected pathophysiologic indicators from transthoracic echocardiography (TTE) and cardiac magnetic resonance imaging were explored. METHODS: In-vivo CMRE was performed on nine dogs presenting severe congenital PVS using a 1.5T MRI scanner. T1-MOLLI, T2-prepared-bSSFP, gated-cine GRE-MRE and LGE (PSIR) sequences were used to acquire a basal short-axis slice. RV and LV-free-wall (FW) stiffness measurements were compared against each other and also correlated to ventricular mass, RV and LV FW thickness, T1 and T2 relaxation times, and extracellular volume fraction (ECV). Peak transpulmonary pressure gradient and myocardial strain were also acquired on eight dogs by TTE and correlated to RV-FW systolic stiffness. Potential correlations were evaluated by Spearman's rho (rs). RESULTS: RV-FW stiffness was found to be significantly higher than the LV-FW stiffness both during end-systole (ES) (p=0.002) and end-diastole (ED) (p=0.029). Significant correlations were observed between RV-FW ES and LV-FW ED stiffness versus ECV (rs=0.75; p-value=0.05). Non-significant moderate correlations were found between LV-FW ES (rs=0.54) and RV-FW ED (rs=0.61) stiffness versus ECV. Furthermore, non-significant correlations were found between RV or LV-FW stiffness and the remaining variables (rs<0.54; p-value>0.05). CONCLUSION: This study demonstrates the feasibility of determining RV stiffness. The positive correlations between stiffness and ECV might indicate some interdependence between stiffness and myocardial extracellular matrix alterations. However, further studies are warranted to validate our initial observations.
INTRODUCTION:Myocardial stiffness is an important determinant of cardiac function and is currently invasively and indirectly assessed by catheter angiography. This study aims to demonstrate the feasibility of quantifying right ventricular (RV) stiffness noninvasively using cardiac magnetic resonance elastography (CMRE) in dogs with severe congenital pulmonary valve stenosis (PVS) causing RV hypertrophy, and compare it to remote myocardium in the left ventricle (LV). Additionally, correlations between stiffness and selected pathophysiologic indicators from transthoracic echocardiography (TTE) and cardiac magnetic resonance imaging were explored. METHODS: In-vivo CMRE was performed on nine dogs presenting severe congenital PVS using a 1.5T MRI scanner. T1-MOLLI, T2-prepared-bSSFP, gated-cine GRE-MRE and LGE (PSIR) sequences were used to acquire a basal short-axis slice. RV and LV-free-wall (FW) stiffness measurements were compared against each other and also correlated to ventricular mass, RV and LV FW thickness, T1 and T2 relaxation times, and extracellular volume fraction (ECV). Peak transpulmonary pressure gradient and myocardial strain were also acquired on eight dogs by TTE and correlated to RV-FW systolic stiffness. Potential correlations were evaluated by Spearman's rho (rs). RESULTS: RV-FW stiffness was found to be significantly higher than the LV-FW stiffness both during end-systole (ES) (p=0.002) and end-diastole (ED) (p=0.029). Significant correlations were observed between RV-FW ES and LV-FW ED stiffness versus ECV (rs=0.75; p-value=0.05). Non-significant moderate correlations were found between LV-FW ES (rs=0.54) and RV-FW ED (rs=0.61) stiffness versus ECV. Furthermore, non-significant correlations were found between RV or LV-FW stiffness and the remaining variables (rs<0.54; p-value>0.05). CONCLUSION: This study demonstrates the feasibility of determining RV stiffness. The positive correlations between stiffness and ECV might indicate some interdependence between stiffness and myocardial extracellular matrix alterations. However, further studies are warranted to validate our initial observations.
Authors: Martin L Tomov; Carmen J Gil; Alexander Cetnar; Andrea S Theus; Bryanna J Lima; Joy E Nish; Holly D Bauser-Heaton; Vahid Serpooshan Journal: Curr Cardiol Rep Date: 2019-08-01 Impact factor: 2.931
Authors: Ria Mazumder; Samuel Schroeder; Xiaokui Mo; Alan S Litsky; Bradley D Clymer; Richard D White; Arunark Kolipaka Journal: J Magn Reson Imaging Date: 2016-08-17 Impact factor: 4.813
Authors: Arunark Kolipaka; Samuel Schroeder; Xiaokui Mo; Zarine Shah; Phil A Hart; Darwin L Conwell Journal: Magn Reson Imaging Date: 2017-05-02 Impact factor: 2.546
Authors: Wiebke Neumann; Andreas Bichert; Jonas Fleischhauer; Antonia Stern; Roxana Figuli; Manfred Wilhelm; Lothar R Schad; Frank G Zöllner Journal: PLoS One Date: 2018-10-08 Impact factor: 3.240