NCT05809843

OCT and OCT-A Deep Learning in Diabetic Patients Wiht Artificial Pancreas Device

Deep Learning in Vascular and Structural Retinal Changes in Diabetic Patients Undergoing Artificial Pancreas Device

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 11 (actual)
• Sponsor: Federico II University · Academic / Other
• Sex: All
• Age: 18 Years – 80 Years
• Healthy volunteers: Accepted

Summary

This study evaluates the ability of deep learning to improve the knowledge about structural and vascular retinal changes in diabetic patients undergoing artificial pancreas device, using optical coherence tomography angiography.

Detailed description

hybrid artificial pancreas systems (CSII) are able to adjust the type 1 diabetic patient's glycemic levels with insulin doses appropriate to the patient's blood glucose. The optical coherence tomography angiography represents a novel and noninvasive diagnostic technique that allows a detailed and quantitative analysis of retinal and choriocapillary vascular features. The study evaluates the changes in optical coherence tomography angiography features in diabetic patients undergoing artificial pancreas device, elaborating these data with artificial intelligence.

Conditions

• Type 1 Diabetes Mellitus With Artificial Pancreas Device

Interventions

Type	Name	Description
DEVICE	hybrid artificial pancreas systems (CSII)	artificial device that adjust the patient's glycemic levels with insulin doses appropriate to the patient's blood glucose

Timeline

• Start date: 2023-01-30
• Primary completion: 2023-03-23
• Completion: 2023-03-23
• First posted: 2023-04-12
• Last updated: 2023-04-12

Locations

1 site across 1 country: Italy