NCT06727955

Prospective Cohort Study on Predicting the Progression of Diabetic Microangiopathy Using Multimodal Eye Imaging

• Status: Not Yet Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 250 (estimated)
• Sponsor: Peking University Third Hospital · Academic / Other
• Sex: All
• Age: 40 Years – 80 Years
• Healthy volunteers: Not accepted

Summary

To develop an artificial intelligence (AI) model to predict DR progression based on a prospective cohort database.With use of an innovative AI model and a validated machine learning algorithm, based on multimodal vascular and neuro imaging of the eye, the progression of diabetic microangiopathy especially the DR could successfully be predictse and fundamentally facilitate diabetes management.

Detailed description

To develop an artificial intelligence (AI) model to predict DR progression based on a prospective cohort database.This study will first conduct a prospective single-center cohort, which will enroll 250 type 2 diabetes mellitus patients with non-proliferative diabetic retinopathy (NPDR). The follow-up time points will be 3 months, 6 months, 1 year, 2 years, and 3 years after enrollment or reaching the endpoint (any condition that needs retinal photocoagulation, anti-vascular endothelial growth factor injections, and pars plana vitrectomy). The study will collect both patient clinical characteristics and multi-model eye imaging. With use of an innovative AI model and a validated machine learning algorithm, based on multimodal vascular and neuro imaging of the eye, the progression of diabetic microangiopathy especially the DR could successfully be predictse and fundamentally facilitate diabetes management.

Conditions

• Diabetic Retinopathy

Timeline

• Start date: 2025-01-01
• Primary completion: 2027-12-31
• Completion: 2028-12-31
• First posted: 2024-12-11
• Last updated: 2024-12-11

Locations

1 site across 1 country: China