Artificial Intelligence to Assist the Echocardiographic Identification of Transthyretin Cardiac Amyloidosis
AI-ATTR-ECHO
2 other identifiers
observational
15,000
1 country
1
Brief Summary
The goal of this study is to develop an algorithm using artificial intelligence (AI) to assist identification of potential ATTR-CM cases using routine transthoracic echocardiography. The main questions it aims to answer are:
- is the algorithm able to diagnose ATTR-CM
- is the algorithm able to diagnose different types of ATTR-CM (ATTRv, ATTRwt) This is a non interventional study. Participant' echocardiographies will be, after deidentification, used to train, valid and test the algorithm.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jan 2022
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 1, 2022
CompletedFirst Submitted
Initial submission to the registry
March 12, 2024
CompletedFirst Posted
Study publicly available on registry
March 25, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 1, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
January 1, 2026
CompletedMarch 25, 2024
March 1, 2024
3 years
March 12, 2024
March 18, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Building and validating the diagnostic performance metrics curves of the AI algorithm to diagnose ATTR-CM :
To develop and validate a tool using artificial intelligence an algorithm that will improve the automatic detection on routinely acquired echocardiography images of aspects suggestive of transthyretin amyloidosis. A confusion matrix will be built and the following diagnostic performance metrics be computed: * receiver operating characteristic curve (ROC) and area under curve (AUC) of the ROC : AUROC * Precision recall curve (PR) and area under curve (AUC) of the PR curve : AUC-PR
year 1
Building and validating the diagnostic performance metrics of the AI algorithm to diagnose ATTR-CM :
To develop and validate a tool using artificial intelligence an algorithm that will improve the automatic detection on routinely acquired echocardiography images of aspects suggestive of transthyretin amyloidosis ATTR. A confusion matrix will be built and the following diagnostic performance metrics be computed: Accuracy, Sensitivity or Recall, Specificity, False positive rate, False Negative Rate, Precision (all are expressed as ratio)
year 1
Secondary Outcomes (8)
Building and validating the diagnostic performance metrics of the AI algorithm to diagnose ATTRwt-CM :
year 1
Building and validating the diagnostic performance metrics of the AI algorithm to diagnose ATTRv-V122I-CM :
year 1
Building and validating the diagnostic performance metrics of the AI algorithm to diagnose ATTRv-CM :
year 1
Building and validating the diagnostic performance metrics of the AI algorithm to differentiate ATTR-CM from LV hypertrophy (LVH) :
year 1
Building and validating the diagnostic performance metrics curves of the AI algorithm to diagnose ATTRwt-CM :
year 1
- +3 more secondary outcomes
Study Arms (2)
Transthyretin cardiac amyloidosis (ATTR-CM)
Patients with an ATTR-CM and undergoing a transthoracic echocardiography
Controls
Patients without cardiac amyloidosis undergoing transthoracic echocardiography as part of cardiological follow-up
Interventions
non interventional study
Eligibility Criteria
The ATTR-CM cohort will be recruited in referral tertiary centers for cardiac amyloidosis The Control cohort will be recruited in the same centers from patients presenting an indication for transthoracic echocardiography as part of cardiological follow-up
You may qualify if:
- Cardiac transthyretin amyloidosis diagnosed on the classic criteria:
- Absence of monoclonal immunoglobulin AND
- Presence of a bisphosphonate scintigraphy with enhancement in the cardiac area OR
- Presence of a cardiac biopsy showing transthyretin (Congo red positive) cardiac amyloidosis (demonstrated either by immunostaining or by mass spectrometry) OR 3-Presence of a peripheral biopsy showing transthyretin amyloidosis (see above) associated with cardiac infiltration (parietal thickness \>12mm without other cause of cardiac hypertrophy)
- No opposition to research
- Another cause of cardiac amyloidosis: AL AA amyloidosis…
- Mixed heart disease with associated presence of non-amyloid heart disease (ischemic heart disease, dilated, etc.)
- Control patients:
- Indication for transthoracic echocardiography as part of cardiological follow-up
- Patient affiliated with social security
- Patient's agreement to participate in the research and signature of the consent form.
- Technical conditions of the examination and echogenicity allowing acquisition of good quality echocardiographic images, allowing post processing
- Presence of cardiac amyloidosis as defined above
- Presence of transthyretin amyloidosis even without demonstrated cardiac involvement
- Patient monitored for asymptomatic transthyretin mutation
- +1 more criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Algalarrondo Vincentlead
- Bichat Hospitalcollaborator
- Bioquantiscollaborator
Study Sites (1)
Bichat
Paris, 75018, France
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY CHAIR
Gabriel Steg, MD, PhD
Bichat Hospital
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- CASE CONTROL
- Time Perspective
- OTHER
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- Principal Investigator, Director of the referral center CRMR -CERAMIC CARDIO
Study Record Dates
First Submitted
March 12, 2024
First Posted
March 25, 2024
Study Start
January 1, 2022
Primary Completion
January 1, 2025
Study Completion
January 1, 2026
Last Updated
March 25, 2024
Record last verified: 2024-03
Data Sharing
- IPD Sharing
- Will not share
Investigators will provide access to individual de-identified participant data and related study documents (e.g. protocol, Statistical Analysis Plan (SAP), Clinical Study Report (CSR)) upon reasonable request from qualified researchers, and subject to certain criteria, conditions, and exceptions.