Right ventricular dysfunction developing late after congenital cardiac surgery is one of the most common causes of heart failure in adults with congenital heart disease. In tetra logy of Fallot (ToF), the most common cyanotic heart defect, initial repair in infancy involves an incision and patch in the RV outflow, including the pulmonary valve, which often results in late development of severe RV dilatation and dysfunction due to chronic pulmonary regurgitation and RV scarring/patch dilatation. Current surgical management of late RV dysfunction, consisting of pulmonary valve insertion and reduction of the RV outflow patch, reduces RV volume but does not result in a predictable improvement in RV function. A more radical procedure, which includes extensive removal of scar and outflow patch, is being evaluated in an NHLBI sponsored randomized prospective trial. However, there is no currently available method for predicting outcome after either procedure or what the optimal procedure is for a given pt., i.e. no clinically useful tools for determining patient-specific therapy. In this project, we propose to develop a computational modeling approach to determine the efficacy and suitability of the various reconstructive options to treat failing RV in ToF pts. We will use non-invasive cardiac magnetic resonance imaging (CMR) to provide patient-specific RV/LV morphology, deformation, and flow data for the construction and validation of computational models. 3D CMR-based RV/LV combination models will be constructed, which include fluid-structure interactions (RV/LV and RV patch), two-layer RV/LV structure, anisotropic material properties, fiber orientation, and active contraction to simulate blood flow, heart motion, and stress/strain distribution to evaluate the effect of different remodeling procedures on RV function, and to seek an optimal RV volume and patch design to improve post-operative RV function. Clinical imaging and hemodynamic data from an ongoing NHLBI-funded clinical trial will be used to build and validate the model. Our ultimate goal is to apply this methodology in patient- specific computer-aided cardiac surgery planning to reach optimal surgical procedure design and outcome in patients with RV dysfunction from congenital heart defects. A multidisciplinary group of experienced investigators in congenital cardiac surgery, cardiology and computational mathematics will conduct this project.

Public Health Relevance

This project aims to use MRI images obtained from patients with repair tetralogy of Fallot that are being evaluated for surgery to develop computational models of right ventricular function. The ultimate goal is to develop models that will predict outcomes and optimize right ventricular function after surgery. The MRI's to be used for this study are clinically indicated studies as part of the care of these patients and are currently obtained under an approved protocol where Dr. Tal Geva is the principal investigator.

National Institute of Health (NIH)
National Heart, Lung, and Blood Institute (NHLBI)
Research Project (R01)
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Bioengineering, Technology and Surgical Sciences Study Section (BTSS)
Program Officer
Evans, Frank
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Children's Hospital Boston
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Yu, Han; Del Nido, Pedro J; Geva, Tal et al. (2018) Patient-specific in vivo right ventricle material parameter estimation for patients with tetralogy of Fallot using MRI-based models with different zero-load diastole and systole morphologies. Int J Cardiol :
Deng, Long; Huang, Xueying; Yang, Chun et al. (2018) Patient-specific CT-based 3D passive FSI model for left ventricle in hypertrophic obstructive cardiomyopathy. Comput Methods Biomech Biomed Engin 21:255-263
Tang, Dalin; Zuo, Heng; Yang, Chun et al. (2017) Comparison of Right Ventricle Morphological and Mechanical Characteristics for Healthy and Patients with Tetralogy of Fallot: An In Vivo MRI-Based Modeling Study. Mol Cell Biomech 14:137-151
Fan, Longling; Yao, Jing; Yang, Chun et al. (2016) Material stiffness parameters as potential predictors of presence of left ventricle myocardial infarction: 3D echo-based computational modeling study. Biomed Eng Online 15:34
Fan, Longling; Yao, Jing; Yang, Chun et al. (2016) Modeling Active Contraction and Relaxation of Left Ventricle Using Different Zero-load Diastole and Systole Geometries for Better Material Parameter Estimation and Stress/Strain Calculations. Mol Cell Biomech 13:33-55
Tang, Dalin; Yang, Chun; Del Nido, Pedro J et al. (2016) Mechanical stress is associated with right ventricular response to pulmonary valve replacement in patients with repaired tetralogy of Fallot. J Thorac Cardiovasc Surg 151:687-694.e3
Fan, Longling; Yao, Jing; Yang, Chun et al. (2015) Infarcted Left Ventricles Have Stiffer Material Properties and Lower Stiffness Variation: Three-Dimensional Echo-Based Modeling to Quantify In Vivo Ventricle Material Properties. J Biomech Eng 137:081005
Fan, Rui; Tang, Dalin; Yao, Jing et al. (2014) 3D Echo-Based Patient-Specific Computational Left Ventricle Models to Quantify Material Properties and Stress/Strain Differences between Ventricles with and without Infarct. Comput Model Eng Sci 99:491-508
Geva, Tal (2014) Is MRI the preferred method for evaluating right ventricular size and function in patients with congenital heart disease?: MRI is the preferred method for evaluating right ventricular size and function in patients with congenital heart disease. Circ Cardiovasc Imaging 7:190-7
Tang, Dalin; Yang, Chun; Geva, Tal et al. (2014) Right ventricular local longitudinal curvature as a marker and predictor for pulmonary valve replacement surgery outcome: an initial study based on preoperative and postoperative cardiac magnetic resonance data from patients with repaired tetralogy of Fal J Thorac Cardiovasc Surg 147:537-8

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