- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03973762
A Blinded, Self-control Trial to Evaluate an Artificial Intelligence Based CAD System for Diabetic Retinography
November 2, 2020 updated by: Youxin Chen, Peking Union Medical College Hospital
To evaluate the safety and performance of an innovative artificial intelligence based Computer-Aided Diagnosis(CAD) system for diabetic retinography, Retinal images of patients with diabetes mellitus or diabetic retinopathy(DR) were collected retrospectively.
All images were graded by a retinal specialists expert panel and the CAD device using the International Clinical Diabetic Retinopathy severity scale criteria.
Investigator responsible for DR grading by CAD system is blinded to the DR grading results from the expert panel.
Finally, DR grading results of the CAD system and experts were compared using sensitivity and specificity.
Study Overview
Status
Completed
Conditions
Intervention / Treatment
Detailed Description
Retinal images were collected retrospectively according to the following inclusion/exclusion criterion:
Inclusion Criterion:
Clinical history of diabetes mellitus or diabetic retinopathy; Fully Gradable Images; around 45° field which covers optic disc and macula; complete patient identification information;
Exclusion Criterion:
incomplete patient identification information;
- DR grading by expert panel At first, retinal images are graded by three experts independently, then they met for a consensus meeting to discuss cases without initial agreement. If they can't achieve consensus, a final decision is made by the principal investigator. Experts give a grading of both DR and Diabetic Macular Edema (DME) for each image according to the International Clinical Diabetic Retinopathy severity scale criteria and hard exudates around optic disc.
- Blinding and DR grading by CAD system Before DR grading by CAD system, a randomized identification(ID) is assigned to each retinal image, which ensures that investigator responsible for CAD system operation is masked to the expert panel grading result. Both DR and DME grading is generated by the CAD system and the results are exported.
- Unblinding Finally, all data are unblinded and results of the CAD system are compared to the results of human grading, which is considered the gold standard, using measures as sensitivity and specificity;
Study Type
Interventional
Enrollment (Actual)
1081
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
-
Beijing
-
Peking, Beijing, China, 100005
- Peking Union Medical College Hospital
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- ADULT
- OLDER_ADULT
- CHILD
Accepts Healthy Volunteers
No
Genders Eligible for Study
All
Description
Inclusion Criteria:
- Clinical history of diabetes mellitus or diabetic retinopathy;
- Fully Gradable Images;
- around 45° field which covers optic disc and macula;
- complete patient identification information;
Exclusion Criteria:
- incomplete patient identification information
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: DIAGNOSTIC
- Allocation: NON_RANDOMIZED
- Interventional Model: PARALLEL
- Masking: SINGLE
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
EXPERIMENTAL: DR Grading with CAD
|
A CAD system is used to make DR grading.
|
OTHER: DR Grading by expert panel
|
DR Grading by expert panel
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Se and Sp under investigation target 3
Time Frame: through study completion,an average of four months
|
1.investigation target 3: Negative: DR grading of 0 or 1; Positive: DR grading of 2 or higher; After completion of DR grading by expert panel and CAD system, results of the CAD system were compared to the results of human grading, which is considered the gold standard, using measures as sensitivity(Se) and specificity(Sp).
|
through study completion,an average of four months
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Se and Sp under investigation target 1/2/4/5
Time Frame: through study completion,an average of four months
|
investigation target 1: Negative : DR grading of 0 ; Positive : DR grading of 1 or higher; investigation target 2: Negative : DR grading of 0,1 or 2 ; Positive : DR grading of 3 or higher; investigation target 4: Negative : no clinically significant DME; Positive : clinically significant DME; investigation target 5: Negative : no clinically significant DME and DR grading of 0, 1 or 2 ; Positive : clinically significant DME or DR grading of 3 or higher; After completion of DR grading by expert panel and CAD system, results of the CAD system were compared to the results of human grading, which is considered the gold standard, using measures as sensitivity(Se) and specificity(Sp).
|
through study completion,an average of four months
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Collaborators
Investigators
- Principal Investigator: Chen Youxin, Professor, Peking Union Medical College Hospital
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Xu Y, Wang L, He J, Bi Y, Li M, Wang T, Wang L, Jiang Y, Dai M, Lu J, Xu M, Li Y, Hu N, Li J, Mi S, Chen CS, Li G, Mu Y, Zhao J, Kong L, Chen J, Lai S, Wang W, Zhao W, Ning G; 2010 China Noncommunicable Disease Surveillance Group. Prevalence and control of diabetes in Chinese adults. JAMA. 2013 Sep 4;310(9):948-59. doi: 10.1001/jama.2013.168118.
- Williams GA, Scott IU, Haller JA, Maguire AM, Marcus D, McDonald HR. Single-field fundus photography for diabetic retinopathy screening: a report by the American Academy of Ophthalmology. Ophthalmology. 2004 May;111(5):1055-62. doi: 10.1016/j.ophtha.2004.02.004.
- Gulshan V, Peng L, Coram M, Stumpe MC, Wu D, Narayanaswamy A, Venugopalan S, Widner K, Madams T, Cuadros J, Kim R, Raman R, Nelson PC, Mega JL, Webster DR. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs. JAMA. 2016 Dec 13;316(22):2402-2410. doi: 10.1001/jama.2016.17216.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (ACTUAL)
May 31, 2019
Primary Completion (ACTUAL)
July 15, 2020
Study Completion (ACTUAL)
August 15, 2020
Study Registration Dates
First Submitted
May 27, 2019
First Submitted That Met QC Criteria
May 31, 2019
First Posted (ACTUAL)
June 4, 2019
Study Record Updates
Last Update Posted (ACTUAL)
November 3, 2020
Last Update Submitted That Met QC Criteria
November 2, 2020
Last Verified
November 1, 2020
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- GTR201-Clinical
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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