NCT04901468

Brief Summary

This is a data collection study involving the gathering of clinical data and OCT (optical coherence tomography) scans from 350 patients. The purpose of this study is to gather data to help develop an AI algorithm to detect eye abnormalities specifically those related to certain cancer treatments. At the end of the study interviews will be held with expert ophthalmologists to assess the acceptability of implementing AI into clinical practice.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
350

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Jun 2021

Geographic Reach
1 country

1 active site

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

May 17, 2021

Completed
8 days until next milestone

First Posted

Study publicly available on registry

May 25, 2021

Completed
24 days until next milestone

Study Start

First participant enrolled

June 18, 2021

Completed
1.5 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2022

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2022

Completed
Last Updated

November 9, 2022

Status Verified

November 1, 2022

Enrollment Period

1.5 years

First QC Date

May 17, 2021

Last Update Submit

November 8, 2022

Conditions

Outcome Measures

Primary Outcomes (1)

  • Measure of the diagnostic accuracy of the AI algorithm against gold standard clinical assessment associated with cancer treatment.

    12 months

Secondary Outcomes (1)

  • Sensitivity of the AI in identifying clinically relevant lesions as defined by an ophthalmologist. Specificity of the AI in identifying clinically relevant lesions as defined by an ophthalmologist.

    12 months

Other Outcomes (3)

  • F1 score of the proposed algorithm compared against baseline algorithms.

    13 months

  • Recorded questionnaire/ interview with ophthalmologist and cancer specialists.

    9 months

  • Number of novel relationships identified

    12 months

Interventions

This is an observational study

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

Participants will be patients at the Manchester Royal Eye Hospital who meet the eligibility criteria.

You may qualify if:

  • Voluntary informed consent.
  • Aged at least 18 years.
  • Fully registered patient attending the Manchester Royal Eye Hospital
  • Patients are having an optical diagnostic imaging as part of their standard of care.

You may not qualify if:

  • Patients are excluded from the study if any of the following criteria apply:
  • \. Patient who are deemed clinically unable to be scanned by healthcare professional.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Manchester Royal Eye Hospital

Manchester, United Kingdom

RECRUITING

Central Study Contacts

Study Design

Study Type
observational
Observational Model
OTHER
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Professor Of Ophthalmology and Interface Technologies and Consultant Ophthalmologist

Study Record Dates

First Submitted

May 17, 2021

First Posted

May 25, 2021

Study Start

June 18, 2021

Primary Completion

December 31, 2022

Study Completion

December 31, 2022

Last Updated

November 9, 2022

Record last verified: 2022-11

Data Sharing

IPD Sharing
Will not share

Locations