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PANDA-ASOCT: Paediatric Anterior Uveitis Detection With Automated Image Analysis Using ASOCT (PANDA)

10 september 2026 bijgewerkt door: Sheffield Children's NHS Foundation Trust

An Observational Longitudinal Cohort Study on the Clinical Application of Anterior Segment Ocular Coherence Tomography (AS-OCT) as an Imaging Tool in Detecting, Grading and Monitoring Non-infectious Anterior Uveitis, in Age 2 to 16 Years Old, in a Single Regional Multi-disciplinary Paediatric Uveitis Service, Comparing With the Standard Slit Lamp Examination, and Development of Deep Learning in Automated Analysis

Uveitis is an inflammation inside the eye. Although rare, it is an important auto-inflammatory eye condition that affect children and young people (CYP). If not identified and treated promptly, it can lead to permanent vision loss. Uveitis is estimated to affect around 4-5 in every 100,000 children, and up to 26% of those with childhood-onset disease may develop severe visual impairment. Because uveitis often causes no symptoms, even when it is advanced, it is sometimes described as a "silent blinding disease" Uveitis can occur on its own or together with other immune-related conditions. It is the most common non-joint (extra-articular) complication of Juvenile Idiopathic Arthritis (JIA), the most frequent childhood auto-inflammatory joint disorder, which affects about 5.6 per 100,000 children in the UK. National guidelines from the Royal Colleges recommend regular uveitis screening for all children and young people with JIA.

This study aims to assess whether a high-resolution, non-irradiating eye imaging system can accurately detect inflammatory cells inside the eye objectively. The scan is non-invasive, non-contact, painless, and well tolerated by children. It can take 50,000 images per second, allowing the front of the eye to be captured in seconds. These images will be analysed using validated automated algorithms to identify and measure signals from inflammatory cells objectively, without influence of human factor. The qualitative and quantitative information may help predict disease activity and monitor treatment response.

We aim to compare the imaging results with the current standard slit-lamp eye examination in 300 children and young people (600 eyes). Both the imaging operators and the senior clinical examiners will be not know what each other's findings. The primary aim is to determine how AS-OCT imaging system is in detecting uveitis in children and if the results is the same as the standard eye test. The measurement data will also support early-phase deep-learning development to create a cost-effective, automated tool for diagnosing, grading, and crucially monitoring uveitis over time, particularly during treatments that involve complex immunosuppressive medications.

Studie Overzicht

Toestand

Werving

Conditie

Interventie / Behandeling

Gedetailleerde beschrijving

Uveitis, an inflammation inside the eye, is a rare auto-inflammatory eye condition in children and young people (CYP). It is a potentially blinding disorder if left untreated. Uveitis is a preventable blindness in CYP, estimated 4-5 per 100,000 children developing it. Blindness was reported in 26% of childhood onset uveitis. Children with uveitis do not always have symptoms, even in the most severe end-stage, and often labelled as 'silent blinding disease'. Uveitis can occur in association with systemic auto-immune disorder and is the main extra-articular manifestation of juvenile idiopathic arthritis (JIA). JIA is the most common auto-inflammatory joints disease in children, affecting 5.6 per 100,000 children in the United Kingdom. Guidelines published by the Royal Colleges recommend uveitis screening for all CYP with JIA. This study aims to evaluate the clinical application of a high-resolution non-irradiating imaging system to detect inflammatory cells inside the eye. The camera is non-invasive, non-contact and well tolerated in children. It has a scan-speed of 50,000 images per second. The entire front of the eye can be scanned in 1.2 seconds. The images will be analysed using an appropriately calibrated automated algorithms to detect signals from inflammatory cells objectively. The qualitative and quantitative measurements can be used to predict disease and monitor treatment response. The imaging data will be compared with current standard eye examination in 300 children (600 eyes), masking both the scanner operators and the senior examiners in clinics. The primary objective is to assess sensitivity of the automated imaging system in detecting and predicting uveitis in children. The quantification data will contribute to early phase of deep learning in developing a cost-effective automated diagnostic tool in detecting, grading and most importantly monitoring of uveitis objectively during treatment(s) which often involve complex immunosuppressive agents.

Studietype

Observationeel

Inschrijving (Geschat)

300

Contacten en locaties

In dit gedeelte vindt u de contactgegevens van degenen die het onderzoek uitvoeren en informatie over waar dit onderzoek wordt uitgevoerd.

Studiecontact

Studie Locaties

  • Verenigd Koninkrijk
    • South Yorkshire
      • Sheffield, South Yorkshire, Verenigd Koninkrijk, S10 2TH
        • Werving
        • Sheffield Children's Hospital
        • Contact:

Deelname Criteria

Onderzoekers zoeken naar mensen die aan een bepaalde beschrijving voldoen, de zogenaamde geschiktheidscriteria. Enkele voorbeelden van deze criteria zijn iemands algemene gezondheidstoestand of eerdere behandelingen.

Geschiktheidscriteria

Leeftijden die in aanmerking komen voor studie

  • Kind

Accepteert gezonde vrijwilligers

Nee

Bemonsteringsmethode

Niet-waarschijnlijkheidssteekproef

Studie Bevolking

Paediatric patients at Sheffield Children's Hospital, who have been referred to the clinics for uveitis and JIA-uveitis.

Beschrijving

Inclusion Criteria:

  • Aged between 2 and 16 years
  • Attending uveitis and JIA-uveitis clinic at Sheffield Children's Hospital
  • Parents/carers give informed written consent and CYP give age-appropriate assent

Exclusion Criteria:

  • Unable to obtain parental/carer written consent
  • CYP does not want to be recruited

Studie plan

Dit gedeelte bevat details van het studieplan, inclusief hoe de studie is opgezet en wat de studie meet.

Hoe is de studie opgezet?

Ontwerpdetails

Cohorten en interventies

Groep / Cohort
Interventie / Behandeling
Patients attending uveitis clinic
Patients attending uveitis screening clinic, or those attending Jeuvenile Ideopathic Arthritis Uveitis screening clinic.
Diagnostische toets: Slit Lamp Examination
Standard of care slit lamp examination for Uveitis.
Diagnostische toets: Anterior segment ocular coherence tomography (ASOCT)
ASOCT provides high-resolution cross-sectional imaging of the anterior chamber of the eye.

Wat meet het onderzoek?

Primaire uitkomstmaten

Uitkomstmaat
Maatregel Beschrijving
Tijdsspanne
Index test (ASOCT) images
Tijdsspanne: At time of enrolment visit
The ASOCT device will be used to image the eyes of the patient. Pseudo-anonymised cross-sectional scans will be analysed using application Image J (National Institutes of Health, United States).
At time of enrolment visit
Reference Test (slit lamp examination)
Tijdsspanne: At time of enrolment visit.
The slit-lamp is the standard clinical examination with a bright light beam of 1x1mm, at high magnification by the ophthalmologists and screening optometrists. The number of visible cellular dots in the anterior chamber will be scored according to the international standard SUN criteria, as 0, ½+ (1-5 cells), 1+ (6-15 cells), 2+ (16-25 cells), 3+ (26-50 cells) and 4+ (> 50 cells).
At time of enrolment visit.

Secundaire uitkomstmaten

Uitkomstmaat
Maatregel Beschrijving
Tijdsspanne
Demographic data
Tijdsspanne: At time of enrolment visit.
Age, biological sex, ethnicity, co-morbidities, ocular history, systemic history, ocular diagnosis, visual acuity, intraocular pressure, current and previous treatments including topical and systemic medication.
At time of enrolment visit.
Iris colour
Tijdsspanne: At time of enrolment visit.
Iris colour as matched to a reference sheet.
At time of enrolment visit.

Medewerkers en onderzoekers

Hier vindt u mensen en organisaties die betrokken zijn bij dit onderzoek.

Sponsor

Sheffield Children's NHS Foundation Trust

Studie record data

Deze datums volgen de voortgang van het onderzoeksdossier en de samenvatting van de ingediende resultaten bij ClinicalTrials.gov. Studieverslagen en gerapporteerde resultaten worden beoordeeld door de National Library of Medicine (NLM) om er zeker van te zijn dat ze voldoen aan specifieke kwaliteitscontrolenormen voordat ze op de openbare website worden geplaatst.

Bestudeer belangrijke data

Studie start (Werkelijk)

9 september 2026

Primaire voltooiing (Geschat)

1 februari 2027

Studie voltooiing (Geschat)

1 februari 2027

Studieregistratiedata

Eerst ingediend

4 september 2026

Eerst ingediend dat voldeed aan de QC-criteria

4 september 2026

Eerst geplaatst (Werkelijk)

10 september 2026

Updates van studierecords

Laatste update geplaatst (Werkelijk)

15 september 2026

Laatste update ingediend die voldeed aan QC-criteria

10 september 2026

Laatst geverifieerd

1 september 2026

Meer informatie

Termen gerelateerd aan deze studie

Trefwoorden

Aanvullende relevante MeSH-voorwaarden

Andere studie-ID-nummers

  • SCH-2925
  • 351221 (Andere identificatie: IRAS Number)

Plan Individuele Deelnemersgegevens (IPD)

Bent u van plan om gegevens van individuele deelnemers (IPD) te delen?

NEE

Informatie over medicijnen en apparaten, studiedocumenten

Bestudeert een door de Amerikaanse FDA gereguleerd geneesmiddel

Nee

Bestudeert een door de Amerikaanse FDA gereguleerd apparaatproduct

Nee

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