A new intelligent eye imaging method to detect diabetic nerve damage early

ISRCTN ISRCTN12967700
DOI https://doi.org/10.1186/ISRCTN12967700
Integrated Research Application System (IRAS) 365672
Central Portfolio Management System (CPMS) 73069
Engineering and Physical Sciences Research Council (EPSRC) Grant Codes EP/X01441X/1
Sponsor University of Liverpool
Funder Engineering and Physical Sciences Research Council
Submission date
11/05/2026
Registration date
20/05/2026
Last edited
20/05/2026
Recruitment status
Not yet recruiting
Overall study status
Ongoing
Condition category
Nutritional, Metabolic, Endocrine
Prospectively registered
Protocol
Statistical analysis plan
Results
Individual participant data
Record updated in last year

Plain English summary of protocol

Background and study aims
Diabetic peripheral neuropathy (DPN) is a common complication of diabetes. High blood sugar over time can damage the nerves, which are usually associated with changes in sensation or pain in the feet and hands. DPN is often only diagnosed once symptoms have become noticeable, and current tests look mainly at large nerve fibres or require invasive procedures such as skin biopsies. This means early nerve damage can be missed. There is a need for a simple, accurate and practical way to detect DPN earlier so treatment can start sooner and prevent further complications. The cornea, the clear curved surface at the front of the eye, contains small nerves. Research has shown that these nerves begin to change in early stages of DPN - even before symptoms appear - when using a technique called corneal confocal microscopy (CCM). However, CCM involves touching the eye with a camera for several minutes, which can be uncomfortable and is not suitable for everyone, especially for screening large numbers of people.

This study will test a new, contact-free eye imaging device called an optical coherence microscope (OCM), which can capture detailed images of corneal nerves without touching the eye. After an initial usability study with healthy volunteers, the study will invite participants into phase 1 and 2 clinical studies to assess how well the new device works. This device will also be integrated with artificial intelligence (AI), which can automatically analyse the images to detect signs of DPN. By combining quick, comfortable eye scanning with automated image analysis, this approach may offer a modern and widely accessible way to screen for DPN early.

Who can participate?
Adult patients aged 18 years or older with or without type 1 or 2 diabetes.

What does the study involve?
Participants will attend a study visit where several simple tests will be carried out to assess nerve and overall health. These include blood and urine tests, nerve conduction studies, cardiovascular autonomic reflex tests, and eye imaging scans (corneal confocal microscopy and optical coherence microscopy).

What are the possible benefits and risks of participating?
The knowledge gained from this study may affect the tests employed in the future to diagnose diabetic nerve damage. It may help to ensure that future patients are offered a more accurate diagnosis and receive the most effective treatment available. There are no recognised risks of any of the procedures proposed for this study. All tests are non-invasive except the routine blood tests taken at each visit. All tests will be carried out by trained clinical staff.

Where is the study run from?
The Clinical Sciences Centre at Aintree University Hospital in Liverpool, UK.

When is the study starting and how long is it expected to run for?
June 2026 to October 2027.

Who is funding the study?
The Engineering and Physical Sciences Research Council (EPSRC) has provided funding to the University of Liverpool for this research.

Who is the main contact?
Dr Kevin Shaji, Clinical Sciences Centre, Aintree University Hospital, Liverpool, kshaji2@liverpool.ac.uk.

Contact information

Dr Uazman Alam
Public, Scientific, Principal investigator

3rd Floor Clinical Sciences Centre, Aintree University Hospital, Lower Lane
Liverpool
L9 7AL
United Kingdom

ORCiD logoORCID ID 0000-0002-3190-1122
Phone +44 01515295918
Email ualam@liverpool.ac.uk

Study information

Primary study designObservational
Observational study designA prospective, multi-phase observational clinical study programme incorporating usability, longitudinal cohort, and cross-sectional case–control components.
Scientific titleDevelopment of an innovative intelligent EYE imaging solution for SCREENing of diabetic peripheral neuropathy
Study acronymEYE-SCREEN-4-DPN
Study objectives The study aims to assess the diagnostic performance of a novel optical coherence microscopy (OCM) device for identifying diabetic peripheral neuropathy, and to explore its suitability as a screening tool in clinical practice.
Ethics approval(s)

Approved 15/04/2026, North West - Greater Manchester South Research Ethics Committee (2 Redman Place, Stratford, London, E20 1JQ, United Kingdom; +44 0207 104 8014; gmsouth.rec@hra.nhs.uk), ref: 26/NW/0060

Health condition(s) or problem(s) studiedDiabetes mellitus, polyneuropathies and other disorders of the peripheral nervous system
Intervention(i) Usability study - 10 healthy volunteers
(ii) Phase 1 longitudinal clinical study - 50 participants, including patients with diabetes and age- and gender-matched healthy volunteers.
(iii) Phase 2 cross-sectional clinical study - 54 healthy volunteer participants and 116 patients with diabetes.

For the usability study, healthy volunteers will undergo imaging with the novel OCM device at the University of Liverpool. These volunteers will be recruited from the University of Liverpool, from health friends and family of patients at Aintree University Hospital of NHS University Hospitals of Liverpool Group.

For the phase 1 longitudinal study, 50 participants with diabetes and healthy age-gender matched volunteers will undergo routine diabetes-related blood and urine tests, standard-of-care clinical neuropathy tests, clinical questionnaires, autonomic neuropathy testing, corneal confocal microscope and the novel OCM. These participants will be followed up at 9-12 months to undergo the same tests from baseline.

For the phase 2 cross-sectional study, 54 healthy volunteers and 116 patients with diabetes will also undergo routine diabetes-related blood and urine tests, standard-of-care clinical neuropathy tests, clinical questionnaires, autonomic neuropathy testing, corneal confocal microscope and the novel OCM. For reproducibility, 10 participants among the 54 healthy volunteers and 20 from the 116 diabetic patients in the phase 2 cross-sectional study will be rescanned with the novel OCM only after 2-6 weeks.

Each visit in the clinical studies will include:

- Obtaining consent, reviewing medical history and concomitant medications
- Height, weight, resting heart rate and blood pressure
- Blood and urine tests
- Neurological examination with monofilament testing and vibration perception threshold
- Clinical questionnaires (Michigan Neuropathy Screening Instrument, Neuropathy Symptom Profile, painDETECT)
- Nerve conduction studies
- Autonomic neuropathy assessment (using VagusTM device)
- Corneal confocal microscopy (using HRT3 RCM confocal microscope, Heidelberg Engineering)
- Novel OCM device
- Participant experience of the assessment questionnaire
Intervention typeOther
Primary outcome measure(s)
  1. Diagnostic performance of the OCM device for detecting diabetic peripheral neuropathy, as defined by the Toronto criteria measured using various collected metrics, including sensitivity, specificity, precision (or positive predictive value), negative predictive value, F1 score and area under the curve, at one time point at baseline
Key secondary outcome measure(s)
  1. Sensitivity, specificity, and area under the curve of OCM for diagnosing DPN measured using OCM imaging at one time point at baseline
  2. Repeatability and reproducibility of the OCM in terms of corneal nerve parameters in a subset of 30 participants (10 healthy volunteers and 20 patients with diabetes) measured using OCM imaging at baseline and 2-6 weeks
  3. Agreement and correlation between OCM and corneal confocal microscopy using corneal nerve metrics (corneal nerve fibre density, corneal nerve fibre length, corneal nerve branching density and inferior whorl length) measured using OCM imaging and corneal confocal microscopy (CCM) at one time point at baseline
  4. Predictive ability of the OCM for DPN measured using OCM imaging at baseline and 9-12 months
  5. Usability and feasibility of the OCM device in a clinical research setting measured using task performance metrics (completion rate, scan time, error rates), operator reproducibility, image quality measures (signal-to-noise ratio, artefact prevalence), system reliability, and human factors engineering methods, complemented by participant experience questionnaires, structured observations of use-related errors, and qualitative user feedback, at one time point at baseline
  6. Image quality metrics of OCM imaging measured using data collected from OCM imaging at one time point at baseline
  7. Performance of AI-based corneal nerve analysis adapted from CCM to OCM measured using OCM imaging CCM at one time point at baseline
Completion date01/10/2027

Eligibility

Participant type(s)
Age groupAdult
Lower age limit18 Years
Upper age limit64 Years
SexAll
Target sample size at registration230
Key inclusion criteriaDiabetes Cohort
1. Male or female aged > = 18 years old
2. Diagnosis of type 1 or type 2 diabetes mellitus documented in medical records or HbA1C > = 48mmol/mol at screening


Healthy Volunteer Cohort
1. Male or female aged > = 18 years old
2. No history or presence of any systemic disorders that may affect nerve fibres or cornea
Key exclusion criteria1. Unable to provide informed consent
2. Previous corneal transplantation or ocular trauma
3. Ocular surgery or laser eye treatment within 12 months before screening visit
4. Presence of non-diabetic neuropathies
5. Presence or history of aphakia
6. Presence or history of epilepsy or photosensitive seizures
7. Active corneal disease – not limited to dry eye disease, keratitis, keratoconus, corneal dystrophies, corneal ulcers, Fuchs’ dystrophy, Sjogren’s-associated dry eye disease
8. Active ocular disease – not limited to herpes zoster ophthalmicus, glaucoma, nystagmus
9. Any contraindication to nerve conduction studies – pacemaker, implanted electronic devices
Date of first enrolment01/06/2026
Date of final enrolment01/10/2027

Locations

Countries of recruitment

  • United Kingdom
  • England

Study participating centre

Aintree University Hospital
Clinical Sciences Centre, Lower Lane
Liverpool
L9 7AL
England

Results and Publications

Individual participant data (IPD) Intention to shareYes
IPD sharing planThe datasets generated during and/or analysed during the current study will be available in anonymised format upon request.

Editorial Notes

11/05/2026: Study's existence confirmed by the National Institute for Health and Care Research (NIHR) (UK).