评估一款智能手机照片筛查应用程序,以检测1至6岁儿童屈光性弱视的风险因素。
Evaluation of a smartphone photoscreening app to detect refractive amblyopia risk factors in children aged 1-6 years.
作者信息
Arnold Robert W, O'Neil James W, Cooper Kim L, Silbert David I, Donahue Sean P
机构信息
Alaska Children's Eye & Strabismus, Anchorage, AK, USA,
Phoenix Children's Medical Group-Ophthalmology, Phoenix, AZ, USA.
出版信息
Clin Ophthalmol. 2018 Aug 23;12:1533-1537. doi: 10.2147/OPTH.S171935. eCollection 2018.
PURPOSE
To determine the specificity and sensitivity of a smartphone app (GoCheckKids [GCK] used as a photoscreening tool on the iPhone 7 to detect refractive amblyopia risk factors in children aged 1-6 years.
PARTICIPANTS AND METHODS
A prospective, multicenter, 10-month evaluation of children aged 1-6 years old who underwent photoscreening with the GCK app to detect amblyopia risk factors. The first acceptable quality photograph of each study subject was evaluated by trained technicians using GCK's proprietary automated image processing algorithm to analyze for amblyopia risk factors. Trained graders, masked to the cycloplegic clinical data, remotely reviewed photographs taken with the app and compared results to the gold standard pediatric ophthalmology examinations using the 2013 American Association for Pediatric Ophthalmology & Strabismus amblyopia risk factor guidelines. Primary outcome was the ability of the GCK app to identify amblyopia risk factors compared to the cycloplegic refraction.
RESULTS
There were 287 patient images analyzed. The overall sensitivity and specificity in detecting amblyopia risk factors were 76% and 85%, respectively using manual grading. The overall automated grading results had a sensitivity and sensitivity in detecting amblyopia risk factors of 65% and 83%, respectively.
CONCLUSION
The GCK smartphone app is a viable photoscreening device for the detection of amblyopia risk factors in children aged 1-6 years.
目的
确定一款智能手机应用程序(GoCheckKids [GCK],用于iPhone 7上的照片筛查工具)检测1至6岁儿童屈光性弱视危险因素的特异性和敏感性。
参与者与方法
对1至6岁儿童进行一项为期10个月的前瞻性多中心评估,这些儿童使用GCK应用程序进行照片筛查以检测弱视危险因素。由经过培训的技术人员使用GCK专有的自动图像处理算法对每个研究对象的第一张可接受质量照片进行评估,以分析弱视危险因素。经过培训的分级人员在不知道睫状肌麻痹临床数据的情况下,远程审查使用该应用程序拍摄的照片,并将结果与使用2013年美国小儿眼科与斜视协会弱视危险因素指南的小儿眼科金标准检查结果进行比较。主要结果是与睫状肌麻痹验光相比,GCK应用程序识别弱视危险因素的能力。
结果
共分析了287例患者图像。使用人工分级检测弱视危险因素的总体敏感性和特异性分别为76%和85%。总体自动分级结果检测弱视危险因素的敏感性和特异性分别为65%和83%。
结论
GCK智能手机应用程序是检测1至6岁儿童弱视危险因素的一种可行的照片筛查设备。