Artificial Intelligence in New Cardiac MR Markers for Congenital Heart Disease
NCT05979870 · Status: ENROLLING_BY_INVITATION · Type: OBSERVATIONAL · Enrollment: 45
Last updated 2025-05-15
Summary
The goal of this study is to investigate children with aortic and pulmonary valve disease treated or untreated longitudinally. Established CMR measures with additional newly developped, promising, highly refined and clinically applicable quantitative imaging biomarkers, will be utilized as compared to the conventional CMR estimates.
The main question\[s\] it aims to answer are:
* \[question 1\]To evaluate risk stratification for surgery and intervention of the aortic- and pulmonary valve
* \[question 2\]Investigate the cardiac and vascular hemodynamic and morphological changes before and after interventional or surgical treatment of the aortic- and pulmonary valve at short and long term.
Participants will undergo cardiac MRI before and after interventional or surgical treatment of the aortic or pulmonary valve Researchers will compare MRI data to an age matched control group established at the department in another study.
Conditions
- Aortic Valve Disease
- Pulmonary Valve Disease
- Child, Only
- Magnetic Resonance Imaging
- Risk Stratification
Interventions
- PROCEDURE
-
Valvuloplasty,
Choice of type of intervention decided on a multidisciplinary conference
Sponsors & Collaborators
-
Sahlgrenska University Hospital
lead OTHER
Principal Investigators
-
Charlotte de Lange, MD, Assoc. Prof · Sahlgrenska University hospital, Queen Silvia Childrens' Hospital
Eligibility
- Min Age
- 1 Week
- Max Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2022-10-01
- Primary Completion
- 2028-12-31
- Completion
- 2028-12-31
Countries
- Sweden
Study Locations
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