OCT and OCT-A Deep Learning in Diabetic Patients Wiht Artificial Pancreas Device
NCT ID: NCT05809843
Last Updated: 2023-04-12
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
11 participants
OBSERVATIONAL
2023-01-30
2023-03-23
Brief Summary
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Detailed Description
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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
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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rype 1 diabetc patients with artificial pancreas 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
healthy patients matched age and sex without diabetes and ocular disease
No interventions assigned to this group
Interventions
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hybrid artificial pancreas systems (CSII)
artificial device that adjust the patient's glycemic levels with insulin doses appropriate to the patient's blood glucose
Eligibility Criteria
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Inclusion Criteria
* diagnosis of type 1 diabetes
* treatment with artificial pancreas device
* absence of previous ocular surgery and congenital eye diseases.
* absence of errors of refraction
* absence of lens opacities
* absence of low-quality OCT and OCTA images
Exclusion Criteria
* previous ocular surgery and congenital eye diseases
* errors of refraction
* lens opacities
* low-quality OCT and OCTA images
18 Years
80 Years
ALL
Yes
Sponsors
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Federico II University
OTHER
Responsible Party
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Ciro Costagliola
professor
Locations
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University of Naples "Federico II"
Naples, , Italy
Countries
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Other Identifiers
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2403/2023
Identifier Type: -
Identifier Source: org_study_id
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