Detecting Dementia in the Retina Using Optical Coherence Tomography

NCT ID: NCT03631069

Last Updated: 2021-09-17

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

UNKNOWN

Total Enrollment

280000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2019-09-01

Study Completion Date

2022-08-01

Brief Summary

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This retrospective case control explores the retinal features of dementia associated with neurodegenerative diseases, particularly Alzheimer's disease. By linking a pseudonymised dataset of three-dimensional retinal scans, called optical coherence tomography, with nationally held data on dementia, corresponding characteristics will be evaluated through descriptive statistics and machine learning techniques.

Detailed Description

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By 2025, it is estimated that approximately 1 million people in the United Kingdom (UK) will suffer from dementia, a syndrome associated with progressive decline in brain function. While there is currently no cure for most types of dementia, early diagnosis can help patients receive the appropriate treatment and support to help maintain mental function.

The focus of this project is to identify changes in retinal structure associated with dementia. In collaboration with bioinformatics experts at University College London (UCL), the investigators propose to analyse our repository of \>1 million retinal scans, termed optical coherence tomography (OCT), performed regularly on patients since 2008. OCT scans will be linked at a patient level to data from the Hospital Episode Statistics (HES) database to identify those who have been diagnosed with dementia or went on the develop dementia. Thus, a pseudonymised classified dataset of retinal scans will be generated for qualitative and quantitative analysis. The primary objective is to characterise changes in the layers of the retina associated with dementia. Machine learning techniques may also be employed to identify novel patterns of retinal change associated with dementia.

Conditions

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Dementia Alzheimers Dementia Dementia, Vascular Dementia Senile

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Study Groups

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Dementia

People with hospital episode statistics labels of dementia

No interventions assigned to this group

Normal

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

All patients over the age of 40 who have undergone an optical coherence tomography scan at Moorfields Eye Hospital NHS Foundation Trust

Exclusion Criteria

Poor quality image
Minimum Eligible Age

40 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Moorfields Eye Hospital NHS Foundation Trust

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Pearse Keane, MD FRCOphth

Role: PRINCIPAL_INVESTIGATOR

University College, London

Locations

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Moorfields Eye Hospital NHS Foundation Trust

London, , United Kingdom

Site Status

Countries

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United Kingdom

Other Identifiers

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KEAP1004

Identifier Type: -

Identifier Source: org_study_id

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