Enhanced Valves Interventions and Safe AI Generated End Results
NCT ID: NCT07213531
Last Updated: 2025-10-09
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
21000 participants
OBSERVATIONAL
2024-05-01
2029-05-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
RETROSPECTIVE
Study Groups
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TAVI
All patients who have had TAVI with a third generation transcatheter heart valve (THV). Medical imaging data (CT, TEE) and preoperative clinical data will be collected for analysis.
Medical imaging analysis via artificial intelligence algorithms
Development of AI algorithms based on pre-procedural imaging annotations and clinical informations to predict the transcatheter procedural outcomes
TMVI
Patients who have had a TMVI with a dedicated transeptal device and screen failures. Medical imaging data (CT, TEE) and preoperative clinical data will be collected for analysis.
Medical imaging analysis via artificial intelligence algorithms
Development of AI algorithms based on pre-procedural imaging annotations and clinical informations to predict the transcatheter procedural outcomes
TTVI
Patients who have had a TTVI with a dedicated device and screen failures. Medical imaging data (CT, TEE) and preoperative clinical data will be collected for analysis.
Medical imaging analysis via artificial intelligence algorithms
Development of AI algorithms based on pre-procedural imaging annotations and clinical informations to predict the transcatheter procedural outcomes
M-TEER
All patients who have had a M-TEER with 1) G4 or newer iteration of MitraClip or 2) G2 or newer iteration of Pascal. Medical imaging data (CT, TEE) and preoperative clinical data will be collected for analysis.
Medical imaging analysis via artificial intelligence algorithms
Development of AI algorithms based on pre-procedural imaging annotations and clinical informations to predict the transcatheter procedural outcomes
T-TEER
All patients who have had a T-TEER with G4 or newer iteration of TriClip or 2) G2 or newer iteration of Pascal. Medical imaging data (CT, TEE) and preoperative clinical data will be collected for analysis.
Medical imaging analysis via artificial intelligence algorithms
Development of AI algorithms based on pre-procedural imaging annotations and clinical informations to predict the transcatheter procedural outcomes
Interventions
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Medical imaging analysis via artificial intelligence algorithms
Development of AI algorithms based on pre-procedural imaging annotations and clinical informations to predict the transcatheter procedural outcomes
Eligibility Criteria
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Inclusion Criteria
* For TAVI group: All patients who have had TAVI with a third generation transcatheter heart valve (THV), with an available pre-procedural optimal quality CT scan as defined by an ECG- gating CT with:
1. five to ten image volumes at cardiac phases from 5% to 95% R-R
2. 0.625 mm slice thickness
3. 0.625 mm spacing between slices
4. 0.88 mm in-plane pixel spacing
* For TMVI group: Patients who have had a TMVI with a dedicated device and screen failures, with an available optimal quality CT scan.
* For TTVI group: Patients who have had a TTVI with a dedicated device and screen failures, with an available optimal quality CT scan.
* For M-TEER: All patient who have had a M-TEER with 1) G4 or newer iteration of MitraClip or 2) G2 or newer iteration of Pascal, with available pre-procedural TEE videos images from one of two vendors: Phillips or GE, with clear identifiable views of the Mitral valve, frame per second equal or higher than 40 frames per second, acceptable 3D reconstructions.
* For T-TEER: All patient who have had a T-TEER with G4 or newer iteration of TriClip or 2) G2 or newer iteration of Pascal, with available pre-procedural TEE videos images from one of two vendors: Phillips or GE, with clear identifiable views of the Tricuspid valve, frame per second equal or higher than 40 frames per second, acceptable transgastric image with acceptable 3D reconstructions.
Exclusion Criteria
* 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
* For T-TEER: G3 Triclip, G1 Pascal
18 Years
ALL
No
Sponsors
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Centre Hospitalier Universitaire de Bordeaux, FRANCE
UNKNOWN
Materialise
INDUSTRY
Pie Medical Imaging
UNKNOWN
Clinique Pasteur Toulouse
OTHER
Centre Cardiologique du Nord
OTHER
CHU Rennes,France
UNKNOWN
San Raffaele University Hospital, Italy
OTHER
Istituto clinico Città di Brescia
UNKNOWN
Unity Health Toronto
OTHER
University Hospital, Marseille
OTHER
Lille University Hospital
UNKNOWN
Hospitaux Universitaires Paris Sud
UNKNOWN
Montefiore Medical Center
OTHER
University Medical Center Mainz
OTHER
Universitätsklinikum Hamburg-Eppendorf
OTHER
Vancouver Hospital
UNKNOWN
Montreal Heart Institute
OTHER
Responsible Party
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Principal Investigators
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Thomas Modine, MD, PhD
Role: PRINCIPAL_INVESTIGATOR
University Hospital Bordeaux, France
Walid Ben Ali, MD, PhD
Role: PRINCIPAL_INVESTIGATOR
Montreal Heart Institute
Locations
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Montefiore Medical Center New York
New York, New York, United States
Montreal Heart Institute, 5000 Rue Bélanger, Montréal
Montreal, Quebec, Canada
St Michael's Hospital Toronto
Toronto, , Canada
St Paul's Hospital Vancouver
Vancouver, , Canada
Centre Hospitalier Universitaire (CHU) de Bordeaux, 12 rue Dubernat 33404 Talence cedex
Bourdeaux, , France
CHU Lille
Lille, , France
CHU Marseille
Marseille, , France
Centre Cardiologique du Nord Paris
Paris, , France
Institut Cardiovasculaire Paris-Sud Paris
Paris, , France
Centre Hospitalier Universitaire Rennes
Rennes, , France
Clinque Pasteur Toulouse - France
Toulouse, , France
University Medical Center Hamburg-Eppendorf
Hamburg, , Germany
Heart Valve Center Mainz
Mainz, , Germany
Istituto Clinico Città di Brescia
Brescia, , Italy
San Raffaele Heart Valve Center Milan
Milan, , Italy
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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CHUBX2024/50
Identifier Type: -
Identifier Source: org_study_id
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