Safety and Efficacy Study of AI LVEF (EchoNet-RCT)
Blinded Randomized Controlled Trial of Artificial Intelligence Guided Assessment of Cardiac Function
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
California
-
Los Angeles, California, United States, 90048
- Cedars-Sinai Medical Center
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- The study imaging studies will include patients who underwent imaging (limited or comprehensive transthoracic echocardiogram studies) and a LVEF was adjudicated in the echocardiography/non-invasive cardiac imaging laboratory.
- The study participants are cardiologists reading in the echocardiography/non-invasive cardiac imaging laboratory.
Exclusion Criteria:
- The study imaging studies will exclude transesophageal echocardiogram imaging.
- The study will exclude cardiologists who decline to participate
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: Randomized
- Interventional Model: Single Group Assignment
- Masking: Single
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Active Comparator: Sonographer Annotation
Currently, sonographer technicians provide preliminary interpretations prior to validation and overreading by cardiologists.
This staggered, stepwise evaluation allows for the introduction of AI decision support with minimal impact on patient care.
Physicians are already used to adjusting the preliminary report given the variable training of sonographers and on the lookout for changes, variation, or adjustments that need to be made.
|
Standard practice sonographer measurement of left ventricle and assessment of LVEF
|
|
Experimental: Artificial Intelligence Annotation
In preliminary work, a novel AI algorithm developed to assess LVEF was shown to be more precise than human interpretation in 10,030 echocardiograms done at Stanford University (Ouyang et al.
Nature, 2020).
With randomization, a proportion of the preliminary interpretations will be done by AI technology and the study team will assess how different this preliminary interpretation is from the final interpretation.
|
A semantic segmentation deep learning model will identify the left ventricle and label the left ventricle.
The AI model will produce an assessment of LVEF using video based features.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Frequency of >5% change in LVEF between preliminary and final report
Time Frame: 10 Minutes
|
Proportion of studies the LVEF is changed more than 5% in final report
|
10 Minutes
|
|
Average change in LVEF between preliminary and final report
Time Frame: 10 Minutes
|
Mean change in LVEF between preliminary and final report
|
10 Minutes
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Frequency cardiologist adjusts preliminary annotation
Time Frame: 10 Minutes
|
Proportion of studies the annotation is changed
|
10 Minutes
|
|
Average change in LVEF between prior clinical report and final report
Time Frame: 10 Minutes
|
Mean change in LVEF between prior clinical report and final report
|
10 Minutes
|
Collaborators and Investigators
Sponsor
Sponsor
Publications and helpful links
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- STUDY00001707
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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