Congenital Disorders Clinical Trial
Official title:
Computer Modeling of Congenital Heart Disease
This proposal is aimed at developing a novel method for modeling and analyzing clinical factors impacting RV function, which can lead to a more reliable, consistent, and comprehensive pre-operative treatment planning. In particular, the proposed work centers on the creation of an accurate and clinically useful heart model with which to quantify, visualize, and interpret several clinical findings that are central to the medical decision-making process. The hypothesis is that by providing clinicians with 3D models that capture numerous relevant patient findings in an integrated, quantitative manner they can make more consistent, reliable, and accurate clinical assessments and may also be able to predict factors complicit in RV dysfunction and impending failure.
The research proposed here is motivated by the need to support pediatric cardiologists in
making image-based decisions in the assessment and management of congenital heart disease
(CHD). In marked contrast to adult cardiology, which deals almost exclusively with the left
ventricle (LV), the function of the RV is associated with a number of life-threatening
conditions in pediatrics. These defects include Hypoplastic Left Heart Syndrome (HLHS),
Congenitally Corrected Transposition of Great Arteries, Post operative Tetralogy of Fallot,
and Double Outlet Right Ventricle.
In particular, a computer model that simulates both the myocardium and blood pool of the
right ventricle (RV) is being investigated that can be used to measure clinically useful but
diverse parameters of RV blood flow and wall behaviors that previously would require
multiple analysis tools to acquire. The model is based on data from MRI studies of patients.
Alternate measurement techniques such as ultrasound and catheter pressure measurements are
needed to verify the efficacy of the model.
Through a retrospective chart review of CHD patients with defects associated with RV
dysfunction, data will be obtained from CHOA over a five year period, June 1, 2001 through
May 31, 2006. It will be collected from 10 children aged 0-18 years. Magnetic Resonance
images, Ultrasound and catheterization measurements will be collected and analyzed.
Data from MR will be used primarily to determine RV volumetric data. This information will
be used to determine RV shape at the different stages of systole and through diastole. The
RV shapes are the input to the computer model. The computer model will determine relevant
clinical measures such as ejection fraction, pressure measurements, strain rate, and wall
thickening based solely on the MR image data. The ultrasound and catheter data will be used
as independent sources of verification against the data determined from the computer model.
Ultrasound data will be used to compare ejection fraction and wall behavior to the
predictive model and catheter data will be used to compare pressure measurements.
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Observational Model: Cohort, Time Perspective: Retrospective
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