Computer Modeling of Congenital Heart Disease
Studienübersicht
Status
Bedingungen
Detaillierte Beschreibung
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.
Studientyp
Einschreibung (Voraussichtlich)
Kontakte und Standorte
Studienorte
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Georgia
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Atlanta, Georgia, Vereinigte Staaten, 30322
- Children's Healthcare of Atlanta
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Teilnahmekriterien
Zulassungskriterien
Studienberechtigtes Alter
Akzeptiert gesunde Freiwillige
Studienberechtigte Geschlechter
Probenahmeverfahren
Studienpopulation
Beschreibung
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
Studienplan
Wie ist die Studie aufgebaut?
Designdetails
Was misst die Studie?
Primäre Ergebnismessungen
Ergebnis Maßnahme |
Maßnahmenbeschreibung |
Zeitfenster |
|---|---|---|
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RV Function
Zeitfenster: 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.
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1/1/1990- 3/14/2007
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Mitarbeiter und Ermittler
Sponsor
Ermittler
- Hauptermittler: Marijn E Brummer, PhD, Children's Healthcare of Atlanta
Studienaufzeichnungsdaten
Haupttermine studieren
Studienbeginn
Primärer Abschluss (Tatsächlich)
Studienabschluss (Tatsächlich)
Studienanmeldedaten
Zuerst eingereicht
Zuerst eingereicht, das die QC-Kriterien erfüllt hat
Zuerst gepostet (Schätzen)
Studienaufzeichnungsaktualisierungen
Letztes Update gepostet (Schätzen)
Letztes eingereichtes Update, das die QC-Kriterien erfüllt
Zuletzt verifiziert
Mehr Informationen
Begriffe im Zusammenhang mit dieser Studie
Zusätzliche relevante MeSH-Bedingungen
Andere Studien-ID-Nummern
- 06-149
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