Patient-specific biventricular computational models associated with a normal subject and a pulmonary arterial hypertension (PAH) patient were developed to investigate the disease effects on ventricular mechanics. These models were developed using geometry reconstructed from magnetic resonance (MR) images, and constitutive descriptors of passive and active mechanics in cardiac tissues. Model parameter values associated with ventricular mechanical properties and myofiber architecture were obtained by fitting the models with measured pressure–volume loops and circumferential strain calculated from MR images using a hyperelastic warping method. Results show that the peak right ventricle (RV) pressure was substantially higher in the PAH patient (65 mmHg versus 20 mmHg), who also has a significantly reduced ejection fraction (EF) in both ventricles (left ventricle (LV): 39% versus 66% and RV: 18% versus 64%). Peak systolic circumferential strain was comparatively lower in both the left ventricle (LV) and RV free wall (RVFW) of the PAH patient (LV: −6.8% versus −13.2% and RVFW: −2.1% versus −9.4%). Passive stiffness, contractility, and myofiber stress in the PAH patient were all found to be substantially increased in both ventricles, whereas septum wall in the PAH patient possessed a smaller curvature than that in the LV free wall. Simulations using the PAH model revealed an approximately linear relationship between the septum curvature and the transseptal pressure gradient at both early-diastole and end-systole. These findings suggest that PAH can induce LV remodeling, and septum curvature measurements may be useful in quantifying transseptal pressure gradient in PAH patients.
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November 2016
Research-Article
Patient-Specific Computational Analysis of Ventricular Mechanics in Pulmonary Arterial Hypertension
Ce Xi,
Ce Xi
Department of Mechanical Engineering,
Michigan State University,
East Lansing, MI 48824-1226
Michigan State University,
East Lansing, MI 48824-1226
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Candace Latnie,
Candace Latnie
Department of Mechanical Engineering,
Michigan State University,
East Lansing, MI 48824-1226
Michigan State University,
East Lansing, MI 48824-1226
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Xiaodan Zhao,
Xiaodan Zhao
National Heart Center Singapore,
Singapore, Singapore 169609
Singapore, Singapore 169609
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Ju Le Tan,
Ju Le Tan
National Heart Center Singapore,
Singapore, Singapore 169609
Singapore, Singapore 169609
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Samuel T. Wall,
Samuel T. Wall
Simula Research Laboratory,
Fornebu 1364, Norway
Fornebu 1364, Norway
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Martin Genet,
Martin Genet
LMS,
École Polytechnique,
CNRS,
Université Paris-Saclay;
Inria,
Université Paris-Saclay,
Palaiseau 91128, France
École Polytechnique,
CNRS,
Université Paris-Saclay;
Inria,
Université Paris-Saclay,
Palaiseau 91128, France
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Liang Zhong,
Liang Zhong
National Heart Center Singapore,
Singapore, Singapore 169609;
Singapore, Singapore 169609;
Duke-NUS Medical School,
Singapore, Singapore 169857
Singapore, Singapore 169857
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Lik Chuan Lee
Lik Chuan Lee
Department of Mechanical Engineering,
Michigan State University,
East Lansing, MI 48824-1226
e-mail: lclee@egr.msu.edu
Michigan State University,
East Lansing, MI 48824-1226
e-mail: lclee@egr.msu.edu
Search for other works by this author on:
Ce Xi
Department of Mechanical Engineering,
Michigan State University,
East Lansing, MI 48824-1226
Michigan State University,
East Lansing, MI 48824-1226
Candace Latnie
Department of Mechanical Engineering,
Michigan State University,
East Lansing, MI 48824-1226
Michigan State University,
East Lansing, MI 48824-1226
Xiaodan Zhao
National Heart Center Singapore,
Singapore, Singapore 169609
Singapore, Singapore 169609
Ju Le Tan
National Heart Center Singapore,
Singapore, Singapore 169609
Singapore, Singapore 169609
Samuel T. Wall
Simula Research Laboratory,
Fornebu 1364, Norway
Fornebu 1364, Norway
Martin Genet
LMS,
École Polytechnique,
CNRS,
Université Paris-Saclay;
Inria,
Université Paris-Saclay,
Palaiseau 91128, France
École Polytechnique,
CNRS,
Université Paris-Saclay;
Inria,
Université Paris-Saclay,
Palaiseau 91128, France
Liang Zhong
National Heart Center Singapore,
Singapore, Singapore 169609;
Singapore, Singapore 169609;
Duke-NUS Medical School,
Singapore, Singapore 169857
Singapore, Singapore 169857
Lik Chuan Lee
Department of Mechanical Engineering,
Michigan State University,
East Lansing, MI 48824-1226
e-mail: lclee@egr.msu.edu
Michigan State University,
East Lansing, MI 48824-1226
e-mail: lclee@egr.msu.edu
1Corresponding author.
Manuscript received May 14, 2016; final manuscript received August 12, 2016; published online October 21, 2016. Assoc. Editor: Jessica E. Wagenseil.
J Biomech Eng. Nov 2016, 138(11): 111001 (9 pages)
Published Online: October 21, 2016
Article history
Received:
May 14, 2016
Revised:
August 12, 2016
Citation
Xi, C., Latnie, C., Zhao, X., Tan, J. L., Wall, S. T., Genet, M., Zhong, L., and Lee, L. C. (October 21, 2016). "Patient-Specific Computational Analysis of Ventricular Mechanics in Pulmonary Arterial Hypertension." ASME. J Biomech Eng. November 2016; 138(11): 111001. https://doi.org/10.1115/1.4034559
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