Pediatric Artificial Intelligence for Retinopathy Screening in Children With Type 1 Diabetes

NCT ID: NCT07149142

Last Updated: 2025-09-17

Study Results

Results pending

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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Recruitment Status

NOT_YET_RECRUITING

Clinical Phase

NA

Total Enrollment

400 participants

Study Classification

INTERVENTIONAL

Study Start Date

2026-01-01

Study Completion Date

2029-12-31

Brief Summary

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The proposed project is a clinical intervention trial testing the feasibility and effectiveness of diabetic retinopathy screening evaluated by artificial intelligence (AI) based software in children with type 1 diabetes (CwD). Another novel method, the confocal microscopy of the retina will be used to assess the early stages of diabetic neuropathy. In parallel, we aim to assess the prevalence of diabetic retinopathy and neuropathy in a well-controlled population of CwD at a tertiary diabetes care center.

Each participant will undergo an examination of diabetic retinopathy using the non-mydriatic fundus camera. The resulting photography will be evaluated by AI driven software. The participant will then follow this examinaton with fundus ophtalmoscopy in arteficial mydriasis as a standard method of diabetic retinopathy assessment. Another method, the optic coherence tomography (OCT), which is considered as the most sensitive method for diabetic retinopathy assessment, will be performed after that. The results of these methods will be compared to assess the sensitivity of each. The examination-satisfaction questionnaire will be given to the participants.

In subjects over 18 years, a confocal microscopy of the retina examination will be performed to assess the status of the corneal sub-basal nerve plexus and the presence of diabetic neuropathy will be noted.

The prevalence of diabetic retinopathy and neuropathy in this group of children with diabetes will be assessed based on the results.

Detailed Description

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Conditions

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Type 1 Diabetes Mellitus

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

NONE

Study Groups

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Study arm

All participants will undergo 3 consecutive examinations - non-mydriatic fundus camera assessed by AI-driven software, fundus opthalmoscopy assessed by experienced opthalmologist and optic coherence tomography examination.

Group Type EXPERIMENTAL

Non-mydriatic fundus camera photography

Intervention Type DIAGNOSTIC_TEST

Non-mydriatic fundus camera photography assessed by artificial intelligence software

Fundus ophtalmoscopy

Intervention Type DIAGNOSTIC_TEST

Fundus opthalmoscopy assessed by an experienced ophtalmologist

Optic coherence tomography

Intervention Type DIAGNOSTIC_TEST

Optic coherence tomography assessed by an experienced ophtalmologist

Confocal microscopy of the retina

Intervention Type DIAGNOSTIC_TEST

In a subset of participants over 18 years of age, confocal microscopy of the retina will be performed to assess the presence of diabetic neuropathy

Interventions

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Non-mydriatic fundus camera photography

Non-mydriatic fundus camera photography assessed by artificial intelligence software

Intervention Type DIAGNOSTIC_TEST

Fundus ophtalmoscopy

Fundus opthalmoscopy assessed by an experienced ophtalmologist

Intervention Type DIAGNOSTIC_TEST

Optic coherence tomography

Optic coherence tomography assessed by an experienced ophtalmologist

Intervention Type DIAGNOSTIC_TEST

Confocal microscopy of the retina

In a subset of participants over 18 years of age, confocal microscopy of the retina will be performed to assess the presence of diabetic neuropathy

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

* Type 1 diabetes diagnosed according to the ADA criteria
* Age over 11.0 years or duration of diabetes over 2 years
* Signed written informed consent by both the CwD and their parent/caregiver

Exclusion Criteria

* Unwillingness to sign a written informed consent by both the CwD and their parent/caregiver
Minimum Eligible Age

11 Years

Maximum Eligible Age

19 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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University Hospital, Motol

OTHER

Sponsor Role lead

Responsible Party

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Vit Neuman

MD, PhD

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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University Hospital Motol

Prague, Prague 5, Czechia

Site Status

Countries

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Czechia

Central Contacts

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Vit Neuman, MD, PhD

Role: CONTACT

+420 224 432 090

Facility Contacts

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Vit Neuman, MD, PhD

Role: primary

+420224432090

Other Identifiers

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PAIRS

Identifier Type: -

Identifier Source: org_study_id

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