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.
Description
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.
Status: Active, not recruiting (N/A). Started on June 1st, 2001. Ended on July 1st, 2006.
Enrollment: 10 subjects
Study Type: Observational
Study Design:
- Natural History
- Longitudinal
- Defined Population
- Retrospective Study
Conditions:
Interventions:
Eligibility
Inclusion Criteria:
Choa patients only. Data will be taken from the following patient groups:
Normal right ventricular (RV) EF with normal RV size and pulmonary insufficiency (PI)
Normal RV EF with dilated RV and PI
Reduced RV EF with dilated RV with PI
Normal RV EF (pre-operatively) dilated RV and pulmonary valve
replacement
Reduced RV EF (pre-op) dilated RV and pulmonary valve replacement
Exclusion Criteria:
- Those who do not conform with inclusion criteria
- Gender
Both
- Mininum Age
N/A
- Maximum Age
18 Years
- Healthy Volunteers
No
Resources
Source: Children's Healthcare of Atlanta
Authority: United States: Food and Drug Administration
Locations
-
Children's Healthcare of Atlanta
Atlanta
Georgia
30322
United States
Officials
Marijn E Brummer, PhD (Principal Investigator, Children's Healthcare of Atlanta)
Sponsors
Children's Healthcare of Atlanta (Lead Sponsor)
References
None.
Links
None.
- Date Verified
- July 1st, 2006
- First Received
- August 17th, 2006
- Last Changed
- August 17th, 2006
Information obtained from ClinicalTrials.gov on July 15, 2008. Link to the current ClinicalTrials.gov record.
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