Artificial Intelligence in New Cardiac MR Markers for Congenital Heart Disease
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Contact the study team: see the registry record → Contacts and Locations
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- Who runs it
- Sahlgrenska University Hospital
- Trial code
- NCT05979870
- Record updated
- 15 May 2025
- Original description
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.Read full original descriptionShow less
Artificial Intelligence in New Cardiac MR Markers for Congenital Heart Disease -Improving the Assessment, Monitoring and Prediction in Children
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.
Inclusion: aortic valve disease; or pulmonary valve disease; clinical indication for valvular surgery; or clinical indication for valvular intervention.
Exclusion: contraindications for MRI; need of sedation or general anesthesia, unless there is a clinical indication for a CMR.