About this trial
This non-interventional study aims to use artificial intelligence to improve the prediction of transcatheter heart valve interventions and optimize patient outcomes. It is based on the analysis of retrospective data from various specialized centers worldwide.
Eligibility criteria
Qualifiers
five to ten image volumes at cardiac phases from 5% to 95% R-R
0.625 mm slice thickness
0.625 mm spacing between slices
0.88 mm in-plane pixel spacing
Disqualifiers
For TAVI group: Valve-in-valve procedures
For TMVI group: Valve-in-valve and valve-in-ring procedures
For TTVI: Valve-in-valve and valve-in-ring procedures
For M-TEER: G3 or older MitraClip, G1 Pascal
Trial design
Treatments tested in this trial
- Medical imaging analysis via artificial intelligence algorithms
Treatment groups
Locations
15Sponsors and collaborators
Montreal Heart Institute
Lead sponsor
Centre Hospitalier Universitaire de Bordeaux, FRANCE
Collaborator
Materialise
Collaborator
Pie Medical Imaging
Collaborator
Clinique Pasteur Toulouse
Collaborator
Centre Cardiologique du Nord
Collaborator
Rennes University Hospital
Collaborator
San Raffaele University Hospital, Italy
Collaborator
Istituto clinico Città di Brescia
Collaborator
Unity Health Toronto
Collaborator
University Hospital, Marseille
Collaborator
University Hospital, Lille
Collaborator
Hospitaux Universitaires Paris Sud
Collaborator
Montefiore Medical Center
Collaborator
University Medical Center Mainz
Collaborator
Universitätsklinikum Hamburg-Eppendorf
Collaborator
Vancouver Hospital
Collaborator