Computer Modeling of Congenital Heart Disease

May 7, 2014 updated by: Children's Healthcare of Atlanta
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.

Study Overview

Status

Completed

Detailed 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.

Study Type

Observational

Enrollment (Anticipated)

50

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Georgia
      • Atlanta, Georgia, United States, 30322
        • Children's Healthcare of Atlanta

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

No older than 18 years (Child, Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

This is a chart review of patients with heart defects associated with Right Ventricle dysfunction who have received a cardiac MRI at Children's Healthcare of Atlanta between January 1, 1990 and March 14, 2007.

Description

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

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
RV Function
Time Frame: 1/1/1990- 3/14/2007
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.
1/1/1990- 3/14/2007

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Marijn E Brummer, PhD, Children's Healthcare of Atlanta

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

June 1, 2001

Primary Completion (Actual)

April 1, 2012

Study Completion (Actual)

April 1, 2012

Study Registration Dates

First Submitted

August 17, 2006

First Submitted That Met QC Criteria

August 17, 2006

First Posted (Estimate)

August 21, 2006

Study Record Updates

Last Update Posted (Estimate)

May 8, 2014

Last Update Submitted That Met QC Criteria

May 7, 2014

Last Verified

May 1, 2014

More Information

Terms related to this study

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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