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Autonomous early detection of eye disease in childhood photographs

机译:在儿童照片中自主早期发现眼睛疾病

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摘要

The “red reflex test” is used to screen children for leukocoria (“white eye”) in a standard pediatric examination, but is ineffective at detecting many eye disorders. Leukocoria also presents in casual photographs. The clinical utility of screening photographs for leukocoria is unreported. Here, a free smartphone application (CRADLE: ComputeR-Assisted Detector of LEukocoria) was engineered to detect photographic leukocoria and is available for download under the name “White Eye Detector.” This study determined the sensitivity, specificity, and accuracy of CRADLE by retrospectively analyzing 52,982 longitudinal photographs of children, collected by parents before enrollment in this study. The cohort included 20 children with retinoblastoma, Coats’ disease, cataract, amblyopia, or hyperopia and 20 control children. For 80% of children with eye disorders, the application detected leukocoria in photographs taken before diagnosis by 1.3 years (95% confidence interval, 0.4 to 2.3 years). The CRADLE application allows parents to augment clinical leukocoria screening with photography.
机译:“红色反射测试”用于在标准的儿科检查中筛查儿童的白细胞增多症(“白眼”),但在检测许多眼疾方面无效。白细胞增多症还通过休闲照片呈现。没有报道筛选白斑病照片的临床用途。在这里,免费的智能手机应用程序(CRADLE:白细胞的ComputeR辅助检测器)经过工程设计,可以检测照相白斑,可以以“ White Eye Detector”的名称下载。本研究通过回顾性分析入选前父母收集的52,982张儿童纵向照片,确定了CRADLE的敏感性,特异性和准确性。该队列包括20名患有视网膜母细胞瘤,高士氏病,白内障,弱视或远视的儿童和20名对照儿童。对于80%的眼科疾病患儿,该应用在诊断前1.3年(95%置信区间为0.4至2.3年)中检测出白斑病。 CRADLE应用程序允许父母通过摄影增强临床白细胞筛选。

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