Retinal Deep Phenotyping.TM

January 24, 2024 updated by: Optina Diagnostics Inc.

Retinal Deep PhenotypingTM by A Novel Mydriatic Hyperspectral Retinal Camera (MHRC) And Analysis by Deep Learning

This study aims to collect a baseline dataset of MHRC retinal scans that will be used for the pre-training of deep learning models from the hyperspectral retinal image phenotypic features that may form the basis for multiple future classification applications.

As an exploratory study, there are no endpoints per se, however, the following sub-objective will be evaluated for determining the success of this study:

  • Collection and characterization of MHRC retinal images from at least 250 participants that score at least 80 on the real-time Quality Index (included in the MHRC software).
  • Development of at least one (1) DL model of the retina. Models may be used for the development of novel classifier tests and potential use in a clinical setting.

Study Overview

Status

Withdrawn

Conditions

Detailed Description

This is an exploratory, observational, cross-sectional, multi-site study designed to collect a baseline dataset of MHRC retinal image scans for use in Deep Learning models. Subjects will be recruited from eye clinics where patients will undergo mydriasis (pupil dilation) as part of their clinical visit. Eligible participants will be provided information about the study and delegated site personnel will assist with the Informed Consent process. If a participant provides their Informed Consent, they will be enrolled in the study and undergo a single retinal imaging session with the Optina MHRC device, on one or both eyes.

Study Type

Observational

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Virginia
      • Norfolk, Virginia, United States, 23502
        • Wagner Macular & Retinal Center

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Probability Sample

Study Population

Adults ages 18 years and older who have undergone pupil dilation and are not contraindicated for mydriatic imaging with a fundus camera. Ideally, the study population will be reflective of the adult population with the following estimates for demographics.

TABLE 5.1: US population demographics

Gender* 49.5% Male 50.5% Female

Age* 55% 18-64 years old 17% 45+ years old

Ocular Health in adults 40+ yrsǂ 44% Normal ocular health 56% Eye symptoms

* based on US census data (accessed on 30-April-2023) ǂ based on CDC Fast Facts about Vision Loss

Of note, these are only guidelines to aid with recruiting a study population that is representative of the adult population in the United States.

Description

Inclusion Criteria:

  • Adults 18 years and older who will undergo mydriasis (pupil dilation) as part of their eye clinic visit.

Exclusion Criteria:

  • Contraindications for mydriatic fundus imaging.
  • Pupil dilation contraindicated (due to a pathology, or presence of 3 quadrants with Van Herick grading of 0 or 1 without iridotomy).
  • Inadequate pupil dilatation (< 6mm diameter) preventing uniform illumination of the retina with the MHRC.
  • Refractive error outside the range of -15 D to +15 D.
  • Deficient visual fixation (inability to fixate for at least 2 s)
  • Inability of obtaining at least 3 images of satisfactory quality with the MHRC per the Optina Diagnostics quality index software and /or per the eye specialists' evaluation.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Single group assignment
The participant will undergo a single retinal imaging session with the Optina MHRC device, on one or both eyes.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
At least one (1) Deep Learning (DL) model that characterizes the retina.
Time Frame: 12 months
12 months
Review of any safety events (AE, SAE, UADEs) that occur throughout the study.
Time Frame: 12 months
As an exploratory study, there are no acceptance criteria for these study outcomes, rather the study results will be summarized in a Final Clinical Study report that will document the study outcomes and any learnings/models that may be applied to new development project using the MHRC H5 images
12 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

November 30, 2023

Primary Completion (Estimated)

July 31, 2024

Study Completion (Estimated)

July 31, 2024

Study Registration Dates

First Submitted

June 5, 2023

First Submitted That Met QC Criteria

June 5, 2023

First Posted (Actual)

June 15, 2023

Study Record Updates

Last Update Posted (Estimated)

January 25, 2024

Last Update Submitted That Met QC Criteria

January 24, 2024

Last Verified

January 1, 2024

More Information

Terms related to this study

Other Study ID Numbers

  • 22-002A

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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