Introduction. Over the last nine years, our laboratory has helped develop and validate the mathematical modeling capabilities that are necessary to clinically evaluate the function of the heart by assessing the systolic and diastolic stress-strain relationships of the in vivo myocardium. This proposal would extend the application of these clinical tools to the comprehensive evaluation of the pathological left ventricular (LV) remodeling associated with severe aortic valvular insufficiency and the time course, degree, durability and prognostic significance of the reversal of this remodeling that occurs after aortic valve replacement (AVR). The accurate characterization of left ventricular remodeling and its reversal would have direct clinical relevance to a large number of clinically significant disease processes. Brief Study Overview. Magnetic resonance imaging (MRI)-based, 3D biventricular geometrical data-sets can be combined with biventricular loading conditions and finite element analysis to construct accurate, patient-specific systolic and diastolic mathematical (stress-strain) models of the heart. Patients with severe aortic insufficiency will undergo MRI scanning and catheterization prior to surgery to characterize the degree of left ventricular pathological remodeling that is present upon clinical presentation. 3D LV end-systolic stress (finite element analysis) and systolic strains (with and without Dobutamine stimulation) will be quantified and compared to post-operative data obtained at appropriate intervals. The change in LV end-systolic stress following surgery will reflect the interval change in geometry (reverse remodeling) that has occurred as a result of elimination of the aortic insufficiency by AVR. The time course, degree and durability of reversal of remodeling that occurs that AVR will be analyzed with respect to clinical outcomes. Preoperative characterization of diastolic material properties will also be related to subsequent postoperative reversal of remodeling and clinical outcomes.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project (R01)
Project #
1R01HL064869-01
Application #
6091867
Study Section
Surgery and Bioengineering Study Section (SB)
Project Start
2000-04-10
Project End
2004-03-31
Budget Start
2000-04-10
Budget End
2001-03-31
Support Year
1
Fiscal Year
2000
Total Cost
$271,031
Indirect Cost
Name
Washington University
Department
Surgery
Type
Schools of Medicine
DUNS #
062761671
City
Saint Louis
State
MO
Country
United States
Zip Code
63130
Lindman, Brian R; Liu, Qi; Cupps, Brian P et al. (2017) Heterogeneity of systolic dysfunction in patients with severe aortic stenosis and preserved ejection fraction. J Card Surg 32:454-461
Henn, Matthew C; Lawrance, Christopher P; Kar, Julia et al. (2015) Dilated Cardiomyopathy: Normalized Multiparametric Myocardial Strain Predicts Contractile Recovery. Ann Thorac Surg 100:1284-91
Henn, Matthew C; Cupps, Brian P; Kar, Julia et al. (2015) Quantifying ""normalized"" regional left ventricular contractile function in ischemic coronary artery disease. J Thorac Cardiovasc Surg 150:240-6
Maniar, Hersh S; Brady, Beckah D; Lee, Urvi et al. (2014) Early left ventricular regional contractile impairment in chronic mitral regurgitation occurs in a consistent, heterogeneous pattern. J Thorac Cardiovasc Surg 148:1694-9
Brady, Beckah D; Knutsen, Andrew K; Ma, Ningning et al. (2012) MRI-based multiparametric strain analysis predicts contractile recovery after aortic valve replacement for aortic insufficiency. J Card Surg 27:415-22
Knutsen, Andrew K; Ma, Ningning; Taggar, Ajay K et al. (2012) Heterogeneous distribution of left ventricular contractile injury in chronic aortic insufficiency. Ann Thorac Surg 93:1121-7
Lawton, Jennifer S; Cupps, Brian P; Knutsen, Andrew K et al. (2011) Magnetic resonance imaging detects significant sex differences in human myocardial strain. Biomed Eng Online 10:76
Cupps, Brian P; Taggar, Ajay K; Reynolds, Lina M et al. (2010) Regional myocardial contractile function: multiparametric strain mapping. Interact Cardiovasc Thorac Surg 10:953-7
Joseph, Susan; Moazami, Nader; Cupps, Brian P et al. (2009) Magnetic resonance imaging-based multiparametric systolic strain analysis and regional contractile heterogeneity in patients with dilated cardiomyopathy. J Heart Lung Transplant 28:388-94
Cupps, Brian P; Bree, Douglas R; Wollmuth, Jason R et al. (2008) Myocardial viability mapping by magnetic resonance-based multiparametric systolic strain analysis. Ann Thorac Surg 86:1546-53

Showing the most recent 10 out of 14 publications