Metaverse-assisted Diagnosis Imaging Model for Diabetic Retinopathy
Study Details
Study Description
Brief Summary
This is a prospective clinical study. At the Shaoguan Diabetic Eye Screening Programme, patients ages 30-80 will undergo the two diagnostic models: (1) in a remote diagnostic clinic site, patients undergo a self-testing device that provides both color retinal photography (CRP) and optical coherence tomography (OCT) imaging of nondilated pupils, and receive a Augmented Reality (AR)-assisted online consultation provided by virtual retinal specialist; (2) on a separate day, patients visit the tertiary hospital, undergo traditional imaging of dilated pupils acquired by a non-expert imager using a traditional CRP imaging device at the point of care, and receive a face-to-face consultation provided by a retinal specialist.
Within one week of receiving both diagnostic imaging services, patient preferences are assessed and they decide which diagnostic imaging model is preferred.
Condition or Disease | Intervention/Treatment | Phase |
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Study Design
Arms and Interventions
Arm | Intervention/Treatment |
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Shaoguan Diabetic cohort Patients with diabetes ages 30-80 were enrolled in Shaoguan Diabetic Eye Screening Programme, who will receive diabetic retinopathy screening both in a remote diagnostic imaging site and in a tertiary hospital |
Device: Full Self-Diagnostic device in a remote diagnostic imaging site
Full Self-Diagnostic CRP+OCT imaging, followed by AR-assisted online consultation
Device: Human imager operated diagnostic device in the hospital
Human imager operated CRP imaging with dilated pupils, followed by face-to-face consultation
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Outcome Measures
Primary Outcome Measures
- Accuracy in the diagnosis of referral retinal lesions [1 week]
Accuracy in the diagnosis of referral retinal lesions using the Metaverse-assisted diagnosis imaging
Secondary Outcome Measures
- The agreement between the two modalities [1 week]
kappa value to assess the agreement between the two modalities in the diagnosis of referral retinal lesions
- Feasibility of Metaverse-assisted diagnosis imaging model [1 week]
Feasibility is measured by examination completion rate
- Feasibility of Metaverse-assisted diagnosis imaging model [1 week]
Feasibility is measured by interpretable image rate
- Satisfaction of participants as measured by questionnaire [1 week]
Satisfaction is measured by a questionnaire between the two modalities
Eligibility Criteria
Criteria
Inclusion Criteria:
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who are enrolled in the Shaoguan Diabetic Eye Screening Programme for their eye check-up
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who are diagnosed with diabetes and aged between 30 years and 80 years
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be able to sit for an imaging device for image acquisition
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be capable of giving their own consent
Exclusion Criteria:
- who are pregnant or nursing women
Contacts and Locations
Locations
No locations specified.Sponsors and Collaborators
- Zhongshan Ophthalmic Center, Sun Yat-sen University
Investigators
None specified.Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- 2020KYPJ201