ArticlePloS one2013
Colorimetric and longitudinal analysis of leukocoria in recreational photographs of children with retinoblastoma.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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Who cites it
9 citing papers in PubMed, 30 citations in OpenAlex.
- Smartphone applications for early screening of retinoblastoma: a scoping review.BMC ophthalmology · 2026Article
- Automatic diagnosis of retinoblastoma and quantitative analysis of retinal vascular morphology using deep learning.Frontiers in cell and developmental biology · 2026Article
- Detection and Diagnosis of Retinoblastoma: Can Mobile Devices Be the Next Step Toward Early Intervention?Cureus · 2022Review
- Smartphone photography for screening amblyogenic conditions in children.Indian journal of ophthalmology · 2019Article
- Autonomous early detection of eye disease in childhood photographs.Science advances · 2019Article
- Smartphone-based application improves the detection of retinoblastoma.Eye (London, England) · 2019Article
- Crowd-sourced Ontology for Photoleukocoria: Identifying Common Internet Search Terms for a Potentially Important Pediatric Ophthalmic Sign.Translational vision science & technology · 2018Article
- Retinoblastoma.Nature reviews. Disease primers · 2015Review
- Detection of leukocoria using a soft fusion of expert classifiers under non-clinical settings.BMC ophthalmology · 2014Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Retinoblastoma is the most common primary intraocular tumor in children. The first sign that is often reported by parents is the appearance of recurrent leukocoria (i.e., "white eye") in recreational photographs. A quantitative definition or scale of leukocoria--as it appears during recreational photography--has not been established, and the amount of clinical information contained in a leukocoric image (collected by a parent) remains unknown. Moreover, the hypothesis that photographic leukocoria can be a sign of early stage retinoblastoma has not been tested for even a single patient. This study used commercially available software (Adobe Photoshop®) and standard color space conversion algorithms (operable in Microsoft Excel®) to quantify leukocoria in actual "baby pictures" of 9 children with retinoblastoma (that were collected by parents during recreational activities i.e., in nonclinical settings). One particular patient with bilateral retinoblastoma ("Patient Zero") was photographed >7, 000 times by his parents (who are authors of this study) over three years: from birth, through diagnosis, treatment, and remission. This large set of photographs allowed us to determine the longitudinal and lateral frequency of leukocoria throughout the patient's life. This study establishes: (i) that leukocoria can emerge at a low frequency in early-stage retinoblastoma and increase in frequency during disease progression, but decrease upon disease regression, (ii) that Hue, Saturation and Value (i.e., HSV color space) are suitable metrics for quantifying the intensity of retinoblastoma-linked leukocoria; (iii) that different sets of intraocular retinoblastoma tumors can produce distinct leukocoric reflections; and (iv) the Saturation-Value plane of HSV color space represents a convenient scale for quantifying and classifying pupillary reflections as they appear during recreational photography.
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