AI-powered fundus platform to detect posterior scleral staphyloma in high myopia
Official title: AI-Empowered Fundus Imaging: Building an Intelligent Platform for Diagnosis, Treatment, and Early Warning of Fundus Diseases
Run by Shanghai 10th People's Hospital · NCT07424755 · Data updated 2026-11-12
This project will test an AI platform that uses widefield photos, B-scan, and OCT to find posterior scleral staphyloma in people with high myopia and cataract.
Quick facts
| Study type | Observational |
|---|---|
| Sex | All |
| Enrollment | 1000 (estimated) |
| Sponsor | Shanghai 10th People's Hospital Academic / other |
| Locations | 1 site (Shanghai) |
| Status | Recruiting |
| Started | October 1, 2024 |
| Main results expected | March 2026 |
| Study ends | December 2026 |
| Registry record updated | February 20, 2026 |
| Trial ID | NCT07424755 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults with high myopia and cataract who have posterior scleral staphyloma and complete, good-quality ultra-widefield fundus photos, B-scan ultrasound, and OCT documented are ideal candidates.
✕Probably not a fit
Patients with poor-quality images, severe coexisting ocular diseases like advanced glaucoma or diabetic retinopathy, or serious systemic illnesses are unlikely to benefit or be eligible.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study collects multimodal eye images (ultra-widefield fundus photography, B-scan ultrasonography, and optical coherence tomography) and ocular biometry from patients with high myopia and posterior staphyloma. An artificial intelligence analysis pipeline is applied to those images to identify and characterize posterior scleral staphyloma. Clinical and imaging baseline data including demographics and ophthalmic history are used to train and validate the AI models. The approach aims to standardize detection from routine imaging without altering clinical care.
Why it matters
Potential benefit: If successful, the platform could help clinicians detect posterior scleral staphyloma earlier and monitor high myopia more consistently, which may reduce the risk of vision-threatening complications.
How similar studies have gone: AI-based retinal imaging tools have shown promise for detecting various retinal pathologies, but applying AI specifically for posterior scleral staphyloma in high myopia remains relatively novel.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: Patients with a diagnosis of cataract and high myopia and posterior staphyloma, who underwent comprehensive ophthalmic examinations including ultra-widefield fundus photography (Optos), B-scan ultrasonography, and optical coherence tomography (OCT). Baseline data, including demographics, health status, ophthalmic history, and ocular biometric parameters, were completely documented. Exclusion Criteria: Patients with poor-quality images affecting PSS identification, severe coexisting ocular diseases including glaucoma, diabetic retinopathy that cause media opacities, or severe systemic diseases that could interfere with the study outcomes.
Where it's running
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Shanghai 10th People's Hospital
Shanghai, China Recruiting
Study contacts
- Study coordinator: yiwen Hu
- Email: 1006108590@qq.com
- Phone: +86 18019320181
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.