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Artificial Intelligence in New Cardiac MR Markers for Congenital Heart Disease
Sponsor: Sahlgrenska University Hospital
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.
Official title: Artificial Intelligence in New Cardiac MR Markers for Congenital Heart Disease -Improving the Assessment, Monitoring and Prediction in Children
Key Details
Gender
All
Age Range
1 Week - 18 Years
Study Type
OBSERVATIONAL
Enrollment
45
Start Date
2022-10-01
Completion Date
2028-12-31
Last Updated
2025-05-15
Healthy Volunteers
No
Conditions
Interventions
Valvuloplasty,
Choice of type of intervention decided on a multidisciplinary conference
Locations (1)
Queen Silvia Children'sHospital, Sahlgrenska University Hospital
Gothenburg, Gothenburg, Sweden