Enhanced Valves Interventions and Safe AI Generated End Results

NCT ID: NCT07213531

Last Updated: 2025-10-09

Study Results

Results pending

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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Recruitment Status

RECRUITING

Total Enrollment

21000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-05-01

Study Completion Date

2029-05-31

Brief Summary

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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.

Detailed Description

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The ENVISAGE study is a non-interventional, retrospective research study designed to validate an artificial intelligence (AI)-based framework for the automated analysis of cardiac imaging data, including multi-slice cardiac computed tomography (CT) and transesophageal echocardiography (TEE). The primary objective is to predict the success of transcatheter heart valve interventions, including aortic, mitral, and tricuspid valve interventions (TAVI, TMVI, M-TEER, T-TEER). The AI framework developed in this study will rely on deep learning algorithms, particularly convolutional neural networks (CNNs) and other advanced models, to automatically segment critical anatomical structures and perform accurate measurements of these structures from CT and TEE images. These measurements will then be combined with pre-interventional clinical data to optimize patient selection and intervention planning, as well as to predict surgical outcomes with high accuracy. AI will also aim to reduce human error and inter-observer variability in the interpretation of cardiac images, which could significantly improve clinical outcomes.

Conditions

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Heart Valve Disease TAVI M-TEER TTVI TMVI T-TEER Mitraclip TriClip

Study Design

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Observational Model Type

COHORT

Study Time Perspective

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

Intervention Type DIAGNOSTIC_TEST

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

Intervention Type DIAGNOSTIC_TEST

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

Intervention Type DIAGNOSTIC_TEST

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

Intervention Type DIAGNOSTIC_TEST

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

Intervention Type DIAGNOSTIC_TEST

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

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

Patients who have reached the age of legal majority under local laws.

* 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 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
* For T-TEER: G3 Triclip, G1 Pascal
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Centre Hospitalier Universitaire de Bordeaux, FRANCE

UNKNOWN

Sponsor Role collaborator

Materialise

INDUSTRY

Sponsor Role collaborator

Pie Medical Imaging

UNKNOWN

Sponsor Role collaborator

Clinique Pasteur Toulouse

OTHER

Sponsor Role collaborator

Centre Cardiologique du Nord

OTHER

Sponsor Role collaborator

CHU Rennes,France

UNKNOWN

Sponsor Role collaborator

San Raffaele University Hospital, Italy

OTHER

Sponsor Role collaborator

Istituto clinico Città di Brescia

UNKNOWN

Sponsor Role collaborator

Unity Health Toronto

OTHER

Sponsor Role collaborator

University Hospital, Marseille

OTHER

Sponsor Role collaborator

Lille University Hospital

UNKNOWN

Sponsor Role collaborator

Hospitaux Universitaires Paris Sud

UNKNOWN

Sponsor Role collaborator

Montefiore Medical Center

OTHER

Sponsor Role collaborator

University Medical Center Mainz

OTHER

Sponsor Role collaborator

Universitätsklinikum Hamburg-Eppendorf

OTHER

Sponsor Role collaborator

Vancouver Hospital

UNKNOWN

Sponsor Role collaborator

Montreal Heart Institute

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

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

Site Status RECRUITING

Montreal Heart Institute, 5000 Rue Bélanger, Montréal

Montreal, Quebec, Canada

Site Status RECRUITING

St Michael's Hospital Toronto

Toronto, , Canada

Site Status RECRUITING

St Paul's Hospital Vancouver

Vancouver, , Canada

Site Status RECRUITING

Centre Hospitalier Universitaire (CHU) de Bordeaux, 12 rue Dubernat 33404 Talence cedex

Bourdeaux, , France

Site Status RECRUITING

CHU Lille

Lille, , France

Site Status RECRUITING

CHU Marseille

Marseille, , France

Site Status RECRUITING

Centre Cardiologique du Nord Paris

Paris, , France

Site Status RECRUITING

Institut Cardiovasculaire Paris-Sud Paris

Paris, , France

Site Status RECRUITING

Centre Hospitalier Universitaire Rennes

Rennes, , France

Site Status RECRUITING

Clinque Pasteur Toulouse - France

Toulouse, , France

Site Status RECRUITING

University Medical Center Hamburg-Eppendorf

Hamburg, , Germany

Site Status RECRUITING

Heart Valve Center Mainz

Mainz, , Germany

Site Status RECRUITING

Istituto Clinico Città di Brescia

Brescia, , Italy

Site Status RECRUITING

San Raffaele Heart Valve Center Milan

Milan, , Italy

Site Status RECRUITING

Countries

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United States Canada France Germany Italy

Central Contacts

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Thomas Modine, MD, PhD

Role: CONTACT

+33(0)5 25 377541

Walid Ben Ali, MD, PhD

Role: CONTACT

+1 5145611037

Facility Contacts

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Andrea Scotti, MD, PhD

Role: primary

+1 718-920-4321

Walid Ben Ali, MD, PhD

Role: primary

+1 5145611037

Neil Fam, MD

Role: primary

+1 416-864-5939

John Webb, MD

Role: primary

+1-604-806-8804

Lionel Leroux, MD

Role: primary

+33(0)5 25 377541

Augustin Coisne, MD, PhD

Role: primary

+33 3 20 44 59 62

Thomas Cuisset, MD, PhD

Role: primary

+33 04 91 38 59 75

Julien Dreyfus, MD, PhD

Role: primary

+33 1 49 33 41 41

Myriam Akodad, MD

Role: primary

+33 1 60 13 46 02

Erwan Donal, MD, PhD

Role: primary

+33 (0)2 99 28 71 58

Didier Tchétché, MD

Role: primary

+33 5 62 21 31 31

Lenard Conradi, MD, PhD

Role: primary

+49 (0) 40 7410 - 58949

Ralph Stephan von Bardeleben, MD, PhD

Role: primary

06131 17-7342

Marianna Adamo, MD, PhD

Role: primary

+39 030 2988

Francesco Maisano, MD, PhD

Role: primary

+39 340 357 3125

Other Identifiers

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CHUBX2024/50

Identifier Type: -

Identifier Source: org_study_id

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