机构：[1]School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China[2]Beijing Tongren Hospital, Capital Medical University, Beijing Key Lab of Ophthalmology and Visual Science, Beijing 100005, China首都医科大学附属北京同仁医院首都医科大学附属同仁医院
Background and objective: To develop an automatic parapapillary atrophy (PPA) detection algorithm in retinal fundus images and discuss the association between PPA and myopia to facilitate diagnosis and prediction of children myopia. Methods: The proposed algorithm consists of PPA identification and segmentation, which are evaluated by comparing with ophthalmologist's annotation. The association between PPA parameters and myopia is analyzed via Spearman correlation. Results: The accuracy of PPA identification reaches 90.78%. The F1-score of PPA segmentation is 0.67, and the Pearson correlation between the automatic measurement and ground truths for the area of PPA (A(PPA)), the ratio (mu) of A(PPA) to the area of optic disc (OD) and the maximal width of PPA (W) are 0.74, 0.60, and 0.69 (all p < 0.001). All these parameter changes are significantly correlated with the change of ratio of axial length to corneal curvature (Delta ALCC), spherical equivalent (Delta SE), and axial length (Delta AL) (all p < 0.01), in which the highest association is 0.75 between Delta W (the change of W) and Delta ALCC. Conclusions: The proposed algorithm can provide accurate PPA measurement. Strong association between the changes of PPA and the progress of children myopia are observed and the width of PPA has the best association among three PPA parameters. (C) 2019 Elsevier B.V. All rights reserved.
基金：
Beijing Municipal Administration of Hospitals Youth Programme [QML 20170206]
语种：
外文
被引次数：
WOS：
PubmedID：
中科院(CAS)分区：
出版当年[2019]版：
大类|3 区医学
小类|2 区计算机：理论方法3 区计算机：跨学科应用3 区工程：生物医学3 区医学：信息
最新[2023]版：
大类|2 区医学
小类|2 区计算机：跨学科应用2 区计算机：理论方法2 区工程：生物医学2 区医学：信息
JCR分区：
出版当年[2018]版：
Q1COMPUTER SCIENCE, THEORY & METHODSQ1MEDICAL INFORMATICSQ1COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONSQ2ENGINEERING, BIOMEDICAL
最新[2023]版：
Q1COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONSQ1COMPUTER SCIENCE, THEORY & METHODSQ1ENGINEERING, BIOMEDICALQ1MEDICAL INFORMATICS
第一作者机构：[1]School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
通讯作者：
推荐引用方式(GB/T 7714)：
Li Hanxiang,Li Huiqi,Kang Jieliang,et al.Automatic detection of parapapillary atrophy and its association with children myopia[J].COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE.2020,183:doi:10.1016/j.cmpb.2019.105090.
APA：
Li, Hanxiang,Li, Huiqi,Kang, Jieliang,Feng, Yunlong&Xu, Jie.(2020).Automatic detection of parapapillary atrophy and its association with children myopia.COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE,183,
MLA：
Li, Hanxiang,et al."Automatic detection of parapapillary atrophy and its association with children myopia".COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 183.(2020)
医学