Ophthalmology. Retina · 2017
Telemedical Diagnosis of Stage 4 and Stage 5 Retinopathy of Prematurity.
СтатьяМногоцентровое исследованиеПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
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Patel Samir N, Singh Ranjodh, Jonas Karyn E, Ostmo Susan, Gupta Mrinali P, Campbell J Peter, Chiang Michael F, Chan R V Paul, Imaging and Informatics for Retinopathy of Prematurity Research Consortium
Аннотация
PURPOSE: To determine the accuracy of image-based diagnosis for stage 4 or worse retinopathy of prematurity (ROP) disease.
DESIGN: Prospective cohort study.
PARTICIPANTS: We prospectively obtained data, from 8 major ROP centers, for 1220 eye examinations from 230 infants.
METHODS: An ophthalmologist at each center provided a clinical diagnosis using indirect ophthalmoscopy. Wide-angle retinal images (RetCam; Clarity Medical Systems, Pleasanton, CA) were then obtained, and these were independently read by 2 ROP experts using a web-based system for an image-based diagnosis.
MAIN OUTCOME MEASURES: Sensitivity and specificity of image-based diagnosis from the ROP experts were calculated using the clinical diagnosis as the reference standard.
RESULTS: Of 1220 examinations, 28 (2%) had a clinical diagnosis of stage 4 or worse. Sensitivity and specificity for stage 4 or worse disease were 75% and 99% for expert 1, and 86% and 99% for expert 2. Sensitivity and specificity for the detection of stage 5 disease were 69% and 99% for both experts.
CONCLUSIONS: There are inconsistencies in the accuracy of image-based diagnosis of stage 4 and stage 5 ROP when compared with the clinical diagnosis.
DESIGN: Prospective cohort study.
PARTICIPANTS: We prospectively obtained data, from 8 major ROP centers, for 1220 eye examinations from 230 infants.
METHODS: An ophthalmologist at each center provided a clinical diagnosis using indirect ophthalmoscopy. Wide-angle retinal images (RetCam; Clarity Medical Systems, Pleasanton, CA) were then obtained, and these were independently read by 2 ROP experts using a web-based system for an image-based diagnosis.
MAIN OUTCOME MEASURES: Sensitivity and specificity of image-based diagnosis from the ROP experts were calculated using the clinical diagnosis as the reference standard.
RESULTS: Of 1220 examinations, 28 (2%) had a clinical diagnosis of stage 4 or worse. Sensitivity and specificity for stage 4 or worse disease were 75% and 99% for expert 1, and 86% and 99% for expert 2. Sensitivity and specificity for the detection of stage 5 disease were 69% and 99% for both experts.
CONCLUSIONS: There are inconsistencies in the accuracy of image-based diagnosis of stage 4 and stage 5 ROP when compared with the clinical diagnosis.