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

10. september 2026 opdateret af: 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.

Studieoversigt

Status

Rekruttering

Betingelser

Intervention / Behandling

Detaljeret beskrivelse

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.

Undersøgelsestype

Observationel

Tilmelding (Anslået)

300

Kontakter og lokationer

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Studiekontakt

Studiesteder

    • South Yorkshire
      • Sheffield, South Yorkshire, Det Forenede Kongerige, S10 2TH
        • Rekruttering
        • Sheffield Children's Hospital
        • Kontakt:

Deltagelseskriterier

Forskere leder efter personer, der passer til en bestemt beskrivelse, kaldet berettigelseskriterier. Nogle eksempler på disse kriterier er en persons generelle helbredstilstand eller tidligere behandlinger.

Berettigelseskriterier

Aldre berettiget til at studere

  • Barn

Tager imod sunde frivillige

Ingen

Prøveudtagningsmetode

Ikke-sandsynlighedsprøve

Studiebefolkning

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

Beskrivelse

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

Studieplan

Dette afsnit indeholder detaljer om studieplanen, herunder hvordan undersøgelsen er designet, og hvad undersøgelsen måler.

Hvordan er undersøgelsen tilrettelagt?

Design detaljer

Kohorter og interventioner

Gruppe / kohorte
Intervention / Behandling
Patients attending uveitis clinic
Patients attending uveitis screening clinic, or those attending Jeuvenile Ideopathic Arthritis Uveitis screening clinic.
Standard of care slit lamp examination for Uveitis.
ASOCT provides high-resolution cross-sectional imaging of the anterior chamber of the eye.

Hvad måler undersøgelsen?

Primære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
Index test (ASOCT) images
Tidsramme: 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)
Tidsramme: 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.

Sekundære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
Demographic data
Tidsramme: 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
Tidsramme: At time of enrolment visit.
Iris colour as matched to a reference sheet.
At time of enrolment visit.

Samarbejdspartnere og efterforskere

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Sponsor

Datoer for undersøgelser

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Studer store datoer

Studiestart (Faktiske)

9. september 2026

Primær færdiggørelse (Anslået)

1. februar 2027

Studieafslutning (Anslået)

1. februar 2027

Datoer for studieregistrering

Først indsendt

4. september 2026

Først indsendt, der opfyldte QC-kriterier

4. september 2026

Først opslået (Faktiske)

10. september 2026

Opdateringer af undersøgelsesjournaler

Sidste opdatering sendt (Faktiske)

15. september 2026

Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier

10. september 2026

Sidst verificeret

1. september 2026

Mere information

Begreber relateret til denne undersøgelse

Andre undersøgelses-id-numre

  • SCH-2925
  • 351221 (Anden identifikator: IRAS Number)

Plan for individuelle deltagerdata (IPD)

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INGEN

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