ArticleCornea2017
Teleophthalmic Approach for Detection of Corneal Diseases: Accuracy and Reliability.
Article in Cornea, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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.
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
16 citing papers in PubMed, 38 citations in OpenAlex.
- Evaluating the Diagnostic Accuracy of a Portable, Motorized, and Remotely Controlled Slit Lamp Imaging Adaptor Prototype for Head-Mounted Displays.Translational vision science & technology · 2024Trial
- Telemedicine for Cornea and External Disease: A Scoping Review of Imaging Devices.Ophthalmology and therapy · 2023Article
- Ocular conditions and injuries, detection and management in spaceflight.NPJ microgravity · 2023Review
- Portable Anterior Eye Segment Imaging System for Teleophthalmology.Translational vision science & technology · 2023Article
- Smartphone-based Anterior Segment Imaging: A Comparative Diagnostic Accuracy Study of a Potential Tool for Blindness Prevalence Surveys.Ophthalmic epidemiology · 2022Article
- Tele-ophthalmology as an aid tool for primary care physicians in the IDF, during the Covid-19 lockdown.International ophthalmology · 2022Article
- Differentiation of Active Corneal Infections from Healed Scars Using Deep Learning.Ophthalmology · 2022Article
- Diagnostic armamentarium of infectious keratitis: A comprehensive review.The ocular surface · 2022Review
- Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective.Progress in retinal and eye research · 2021Review
- Ophthalmology Practice During the Coronavirus Disease 2019 Pandemic: The University of Pittsburgh Experience in Promoting Clinic Safety and Embracing Video Visits.Ophthalmology and therapy · 2020Article
- Tele-ophthalmology: Need of the hour.Indian journal of ophthalmology · 2020Review
- Could telehealth help eye care practitioners adapt contact lens services during the COVID-19 pandemic?Contact lens & anterior eye : the journal of the British Contact Lens Association · 2020Article
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- Accuracy and Reliability of a Handheld, Nonmydriatic Fundus Camera for the Remote Detection of Optic Disc Edema.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2018Article
- Evaluation of corneal infections using a smartphone macro lens for synchronous telemedicine.Saudi journal of ophthalmology : official journal of the Saudi Ophthalmological SocietyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
purposeCorneal and anterior segment diseases cause most of the urgent visits to eye care professionals. We evaluated the diagnostic accuracy of detecting corneal diseases using external photographs from 2 portable cameras for telemedicine purposes.
methodsThis is a prospective study of adults with a clinical diagnosis of corneal pathology including corneal abrasions, ulcers, scars, and pterygia. A cornea specialist provided the gold standard diagnosis by slit-lamp examination. Images of both eyes were obtained using iTouch 5S and Nidek VersaCam cameras in multiple gazes and interpreted by 3 cornea specialists for the presence of pathology. Accuracy to detect disease was compared with gold standard diagnosis, stratified by the camera and grader. Reliability was evaluated with weighted kappa statistics. Graders assessed image quality on a Likert scale from 1 (poor) to 9 (optimal).
resultsA total of 198 eyes (110 subjects) were photographed. By gold standard diagnosis, 59 eyes (30%) had corneal scars, 34 (17%) had ulcers, 13 (7%) had abrasions, 10 (5%) had pterygia, and 82 (41%) were normal. Sensitivity to detect AS pathology ranged from 54% to 71% for the iTouch and 66% to 75% for the Nidek, across graders; specificity ranged from 82% to 96% for the iTouch and 91% to 98% for the Nidek. The intergrader reliability was moderate to strong (kappa ranges: 0.54-0.71 for the iTouch; 0.75-0.76 for the Nidek). Quality ratings were variable between graders.
conclusionsExternal photographs taken by standard, nonenhanced portable cameras and interpreted remotely by ophthalmologist graders yielded sensitivity values that are not yet suitable for telemedicine applications. Additional work is needed to improve the ability to detect AS pathology remotely.
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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.