UNASSIGNED: Participants were enrolled from kindergartens, primary schools, and middle schools, with cluster sampling in Shanghai, China. A series of ophthalmic examinations was conducted. Based on fundus photograph, FTD was quantitatively assessed using an artificial intelligence algorithm, and tessellated fundus was diagnosed by well-trained ophthalmologists.
UNASSIGNED: A total of 14,234 participants aged four to 18 years were included, with 7421 boys (52.1%). Tessellated fundus was observed in 2200 (15.5%) participants. The median of FTD was 0.86% (range 0.0-42.1%). FTD increased with age and axial length. In the logistics regression, larger FTD was independently associated with tessellated fundus (P < 0.001). The area under curves of receiver operating characteristic curve for categorizing tessellated fundus using FTD was 0.774, and the cutoff point of FTD was 2.22%.
UNASSIGNED: The density of fundus tessellation was consistent with the severity of myopia. FTD could help diagnose the early stage of myopic maculopathy, tessellated fundus, providing a new pattern for myopia screening and detection of early myopic fundus changes.
UNASSIGNED: Quantification of fundus tessellation with artificial intelligence could help detect early myopic maculopathy.
■参与者从幼儿园注册,小学,和中学,在上海进行整群抽样,中国。进行了一系列的眼科检查。根据眼底照片,FTD使用人工智能算法进行定量评估,并且由训练有素的眼科医生诊断出镶嵌的眼底。
■总共14,234名4至18岁的参与者被包括在内,有7421名男孩(52.1%)。2200名(15.5%)参与者观察到镶嵌的眼底。FTD的中位数为0.86%(范围为0.0-42.1%)。FTD随年龄和轴向长度而增加。在物流回归中,较大的FTD与网格状眼底独立相关(P<0.001)。使用FTD对细分眼底进行分类的受试者工作特征曲线的曲线下面积为0.774,FTD的截止点为2.22%。
■眼底细分的密度与近视的严重程度一致。FTD可以帮助诊断近视性黄斑病变的早期阶段,镶嵌眼底,为近视筛查和早期发现近视眼底改变提供了新的模式。
■用人工智能量化眼底镶嵌可以帮助发现早期近视性黄斑病变。