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Diabetic RetinopathyNCT06423274

Comparing Artificial Intelligence for Assisted Diagnosis of Diabetic Retinopathy

An observational study of Diabetic Retinopathy and Diabetic Macular Edema, run by Zhejiang University at 1 site in China.

Unknown status

Status not confirmed. The sponsor has not verified this record for over two years, so it may be out of date.

Official record
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Trial summary

This study plans to compare the accuracy of artificial intelligence (AI)-assisted fundus images with other ophthalmic devices such as optical coherence tomography (OCT) and fundus fluorescence angiography (FFA) in the diagnosis of diabetic retinopathy and diabetic macular edema. Read more about this study

Who is it for?
Ages 18 to 90 yearsHealthy volunteers can take part
Conditions the study is for
Diabetic Retinopathy, Diabetic Macular Edema
What is being tested?
fundus photography, optical coherence tomography and fundus fluorescence angiography
How many people
1,000 participants
Where
1 siteChina
Study dates
10 Jul 2024to 31 Dec 2025
Phase
Observational
Are there results?
None posted in the registry

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 18 to 90 years
  • All sexes
  • Healthy volunteers accepted
  • Adult, Older adult

Study population: It is planned to include 1,000 participants in the study, all of whom will undergo fundus photography, 500 additional patients will undergo fundus fluorescence angiography, and 500 additional patients will undergo optical coherence tomography. All participants met inclusion and exclusion criteria.

Who may be able to join

  • Diagnostic for diabetes: Type 1 diabetes of a lest 5 years of evolution; or Type 2 diabetes;
  • Obtaining informed consent;
  • Patient age 18 or above.

Who cannot join

  • Patients under 18 years of age;
  • Failure to Obtain informed consent;
  • Presence of other retinal diseases;
  • A patient who has already undergone the treatment.

Trial locations and contacts

1 site in 1 country.

Hongkang Wu, MMS contact

+8618969978676

wuhongkang@zju.edu.cn

China1 site
  • The Second Affiliated Hospital Zhejiang University School of Medicine

    Hangzhou, Zhejiang, 310000

    Hongkang Wu, MMS, 18969978676, wuhongkang@zju.edu.cn

Other trials in China

About this study

Official title: A Comparative Analysis of the Diagnostic Outcomes of Artificial Intelligence-assisted Fundus Photography for Diabetic Retinopathy and Diabetic Macular Edema Versus Other Imaging Devices in Ophthalmology: A Controlled Trial

This study plans to compare the accuracy of artificial intelligence (AI)-assisted fundus images with other ophthalmic devices such as optical coherence tomography (OCT) and fundus fluorescence angiography (FFA) in the diagnosis of diabetic retinopathy and diabetic macular edema.

Read the detailed description

This study plans to compare the accuracy of artificial intelligence (AI)-assisted fundus images with other ophthalmic devices such as optical coherence tomography (OCT) and fundus fluorescence angiography (FFA) in the diagnosis of diabetic retinopathy and diabetic macular edema.

This study was conducted as a prospective study. Participants meeting eligibility criteria will be recruited from sites staffed by trained photographers. After assessing eligibility and obtaining informed consent, fundus photographs will be taken using a non-dilated fundus camera. And optical coherence tomography or fundus fluorescence angiography will be performed.

Being tested
fundus photography, optical coherence tomography, fundus fluorescence angiography
Keywords
diabetic retinopathy, diabetic macular edema, artificial intelligence
Medical subject headings
Diabetic Retinopathy

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • fundus photographyDiagnostic test

    using artificial intelligence to identify diabetic retinopathy using fundus photography

  • optical coherence tomographyDiagnostic test

    detect diabetic retinopathy and diabetic macular edema by optical coherence tomography

  • fundus fluorescence angiographyDiagnostic test

    detect diabetic retinopathy by fundus fluorescence angiography

Study groups in NCT06423274
Study groupRoleWhat they receive
artificial intelligence-assisted fundus photographyArtificial intelligence-assisted fundus photography in patients with diabetic retinopathy
Receives: Diagnostic Test: fundus photography
optical coherence tomographyoptical coherence tomography in patients with diabetic retinopathy
Receives: Diagnostic Test: optical coherence tomography
fundus fluorescence angiographyfundus fluorescence angiography in patients with diabetic retinopathy
Receives: Diagnostic Test: fundus fluorescence angiography

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. The accuracy

    Detection of DR accuracy using fundus photography, optical coherence tomography, and fundus fluorescence angiography

    Measured: Baseline-Month 12

Secondary outcomes (1)
  1. The accuracy

    Detection of DME accuracy using fundus photography, optical coherence tomography, and fundus fluorescence angiography

    Measured: Baseline-Month 12

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted21 May 2024
  2. Study start10 Jul 2024 (estimated)
  3. Primary completion1 Sep 2025 (estimated)
  4. Study completion31 Dec 2025 (estimated)

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Observational
Observational model
Cohort
Time perspective
Prospective
Enrolment
1,000 participants (estimated)
IDs, dates and publications
ClinicalTrials.gov ID
NCT06423274
Sponsor's protocol ID
DR artificial intelligence
Status last verified
Jul 2024
First submitted
9 May 2024
Last updated
9 Jul 2024
Results posted
No
Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
No

Questions about this trial

What is this clinical trial studying?

An observational study of Diabetic Retinopathy and Diabetic Macular Edema, run by Zhejiang University at 1 site in China.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 3 inclusion and 4 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: status not confirmed, as of the sponsor's last update on 9 Jul 2024. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in China. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

Results are not available in the source record.

How can a doctor refer a patient or contact the research team?

Contact Hongkang Wu, MMS (+8618969978676, wuhongkang@zju.edu.cn), or a site near the patient. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

The accuracy (time frame: Baseline-Month 12). It is what the study was designed to measure, not a finding.

Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 9 Jul 2024.

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