AI-powered fundus platform to detect posterior scleral staphyloma in high myopia
AI-Empowered Fundus Imaging: Building an Intelligent Platform for Diagnosis, Treatment, and Early Warning of Fundus Diseases
Shanghai 10th People's Hospital · NCT07424755
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 |
|---|---|
| Enrollment | 1000 (estimated) |
| Sex | All |
| Sponsor | Shanghai 10th People's Hospital (other) |
| Locations | 1 site (Shanghai) |
| Trial ID | NCT07424755 on ClinicalTrials.gov |
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.
Who should consider this trial
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.
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.
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 performed: 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.
Eligibility criteria
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 this trial is running
Shanghai
- Shanghai 10th People's Hospital — Shanghai, China (RECRUITING)
Study contacts
- Study coordinator: yiwen Hu
- Email: 1006108590@qq.com
- Phone: +86 18019320181
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: High Myopia