{Reference Type}: Journal Article
{Title}: Quantification of Fundus Tessellation Reflects Early Myopic Maculopathy in a Large-Scale Population of Children and Adolescents.
{Author}: Gong W;Wang J;Deng J;Chen J;Zhu Z;Seth I;Zhang B;Wang X;Yang J;Du L;Xu X;He X;
{Journal}: Transl Vis Sci Technol
{Volume}: 13
{Issue}: 6
{Year}: 2024 Jun 3
{Factor}: 3.048
{DOI}: 10.1167/tvst.13.6.22
{Abstract}: <B>UNASSIGNED: </B>This study investigated the distribution of fundus tessellation density (FTD) in a Chinese pediatric population and its potential in reflecting early myopic maculopathy (tessellated fundus).<BR><B>UNASSIGNED: </B>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.<BR><B>UNASSIGNED: </B>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%.<BR><B>UNASSIGNED: </B>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.<BR><B>UNASSIGNED: </B>Quantification of fundus tessellation with artificial intelligence could help detect early myopic maculopathy.