Evidence map›Paper›PMID 41606255›Full record

ArticleAnnals of biomedical engineering2026

Validation of a Portable Tool for Conjunctival Ultraviolet Autofluorescence Imaging.

Priya Bahra, Lea Damnjanovic, Koko Faen, Ashish Agar, S Mojtaba Golzan, Minas T Coroneo

Abstract readValidation Study
In one paragraph

Article in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Priya Bahra *School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, Australia.
Lea Damnjanovic *Department of Ophthalmology, Prince of Wales Hospital, Sydney, Australia.
Koko FaenVision Science Group, Graduate School of Health (Orthoptics Discipline), University of Technology Sydney, 15 Broadway, Ultimo, NSW, 2007, Australia.
Ashish AgarDepartment of Ophthalmology, Prince of Wales Hospital, Sydney, Australia.
S Mojtaba GolzanVision Science Group, Graduate School of Health (Orthoptics Discipline), University of Technology Sydney, 15 Broadway, Ultimo, NSW, 2007, Australia. Mojtaba.golzan@uts.edu.au.ORCID http://orcid.org/0000-0002-4479-3917
Minas T CoroneoSchool of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeConjunctival ultraviolet autofluorescence (CUVAF) is an objective biomarker of ocular sun exposure, aiding in the assessment of ophthalmohelioses and other UV-related eye conditions. However, conventional CUVAF imaging requires a bulky and costly benchtop digital single-lens reflex (DSLR) camera system. This study evaluates the validity of a smartphone-based clip-on tool as a portable, affordable alternative for CUVAF imaging.

methods95 participants were recruited from an ophthalmology clinic in Sydney, Australia. Nasal and temporal conjunctival images were captured using both DSLR-based and smartphone-based systems. CUVAF was quantified using two parameters: area ratio (CUVAF area relative to visible sclera) and intensity ratio (CUVAF mean intensity relative to adjacent background). Agreement between systems were assessed using Bland-Altman analysis.

resultsThe mean age of participants was 58 ± 14 years, with 42% identifying as male. CUVAF area ratios were slightly higher in smartphone images (0.037 ± 0.03) compared to DSLR (0.022 ± 0.02, p < 0.01). Intensity ratios showed no significant difference between systems (smartphone: 1.35 ± 0.24, DSLR: 1.37 ± 0.28, p = 0.43). Bland-Altman plots demonstrated good agreement, with mean differences of - 0.014 for area and 0.041 for intensity.

conclusionsThe smartphone-based CUVAF imaging tool demonstrates strong agreement with the gold-standard DSLR system, supporting its potential for clinical and field-based assessment of ocular UV exposure. Slight differences in measured CUVAF area are likely attributable to inherent differences in optical geometry and magnification between the two devices, not underlying biological variation.

Indexed as

ConjunctivaOptical ImagingSmartphoneUltraviolet RaysAdultAgedFemaleHumansMaleMiddle AgedConjunctival ultraviolet autofluorescence (CUVAF)Ocular surface disordersPortable diagnosticsUV exposure

Identifiers

PMID41606255
PMCPMC13186899

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