ArticleTranslational vision science & technology2019
Smartphone-Based, Rapid, Wide-Field Fundus Photography for Diagnosis of Pediatric Retinal Diseases.
Article in Translational vision science & technology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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.
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.
Who cites it
26 citing papers in PubMed, 46 citations in OpenAlex.
- Evaluating Fundoscopy as a Screening Tool for Optic Nerve Atrophy in Multiple Sclerosis: An Optical Coherence Tomography (OCT) Comparative Study.Journal of clinical medicine · 2025Article
- Integrating artificial intelligence with smartphone-based imaging for cancer detection in vivo.Biosensors & bioelectronics · 2025Review
- Application of smartphone ophthalmoscope in ophthalmic clinical practice and teaching.International journal of ophthalmology · 2025Review
- Affordable ultra-widefield smartphone PedCam for comprehensive pediatric retinal examination.Biomedical optics express · 2024Article
- Optic disc characteristics on digital fundus photographs in Saudi children.Neurosciences (Riyadh, Saudi Arabia) · 2024Article
- Clinical Applications and Future Directions of Smartphone Fundus Imaging.Diagnostics (Basel, Switzerland) · 2024Review
- Advances in Structural and Functional Retinal Imaging and Biomarkers for Early Detection of Diabetic Retinopathy.Biomedicines · 2024Review
- Automated detection of nine infantile fundus diseases and conditions in retinal images using a deep learning system.The EPMA journal · 2024Article
- Diabetic Retinopathy Screening Using a Portable Retinal Camera in Vanuatu.Clinical ophthalmology (Auckland, N.Z.) · 2023Article
- Digital innovations for retinal care in diabetic retinopathy.Acta diabetologica · 2022Review
- Detection and Diagnosis of Retinoblastoma: Can Mobile Devices Be the Next Step Toward Early Intervention?Cureus · 2022Review
- [Smartphone-based fundus imaging: applications and adapters].Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft · 2022Review
- A Novel, Smartphone-Based, Teleophthalmology-Enabled, Widefield Fundus Imaging Device With an Autocapture Algorithm.Translational vision science & technology · 2021Article
- The Role of Telemedicine, In-Home Testing and Artificial Intelligence to Alleviate an Increasingly Burdened Healthcare System: Diabetic Retinopathy.Ophthalmology and therapy · 2021Review
- Learning curve evaluation upskilling retinal imaging using smartphones.Scientific reports · 2021Article
- Smartphone fundus photography: a narrative review.International journal of retina and vitreous · 2021Review
- Imaging the pediatric retina: An overview.Indian journal of ophthalmology · 2021Review
- Smartphone-based imaging systems for medical applications: a critical review.Journal of biomedical optics · 2021Review
- Clinically useful smartphone ophthalmic imaging techniques.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2021Review
- Comparison of automated and expert human grading of diabetic retinopathy using smartphone-based retinal photography.Eye (London, England) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
Abstract
purposeAn important, unmet clinical need is for cost-effective, reliable, easy-to-use, and portable retinal photography to evaluate preventable causes of vision loss in children. This study presents the feasibility of a novel smartphone-based retinal imaging device tailored to imaging the pediatric fundus.
methodsSeveral modifications for children were made to our previous device, including a child-friendly 3D printed housing of animals, attention-grabbing targets, enhanced image stitching, and video-recording capabilities. Retinal photographs were obtained in children undergoing routine dilated eye examination. Experienced masked retina-specialist graders determined photograph quality and made diagnoses based on the images, which were compared to the treating clinician's diagnosis.
resultsDilated fundus photographs were acquired in 43 patients with a mean age of 6.7 years. The diagnoses included retinoblastoma, Coats' disease, commotio retinae, and optic nerve hypoplasia, among others. Mean time to acquire five standard photographs totaling 90-degree field of vision was 2.3 ± 1.1 minutes. Patients rated their experience of image acquisition favorably, with a Likert score of 4.6 ± 0.8 out of 5. There was 96% agreement between image-based diagnosis and the treating clinician's diagnosis.
conclusionsWe report a handheld smartphone-based device with modifications tailored for wide-field fundus photography in pediatric patients that can rapidly acquire fundus photos while being well-tolerated. TRANSLATIONAL RELEVANCE: Advances in handheld smartphone-based fundus photography devices decrease the technical barrier for image acquisition in children and may potentially increase access to ophthalmic care in communities with limited resources.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.