The Associations Between Myopia and Fundus Tessellation in School Children: A Comparative Analysis of Macular and Peripapillary Regions Using Deep Learning.
Dan Huang, Xiao Lin, Hui Zhu, Saiguang Ling, Zhou Dong, Xin Ke, Tengfei Long, Yingxiao Qian, Qi Yan, Rui Li, Hua Zhong, Hu Liu
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引用次数: 0
Abstract
Purpose: To evaluate the refractive differences among school-aged children with macular or peripapillary fundus tessellation (FT) distribution patterns, using fundus tessellation density (FTD) quantified by deep learning (DL) technology.
Methods: The cross-sectional study included 1942 school children aged six to 15 years, undergoing ocular biometric parameters, cycloplegic refraction, and fundus photography. FTD was quantified for both the macular (6 mm) and peripapillary (4 mm) regions, using DL-based image processing applied to 45° color fundus photographs. Eyes exhibiting tessellation were classified into two groups: the macular distribution group had greater FTD in the macular area, while the peripapillary distribution group had higher FTD in the peripapillary area, allowing for a comparative analysis of axial length (AL), corneal radius, and refraction.
Results: Participants had a median age of 13 years and a median spherical equivalent (SE) of -0.75 D. The macular distribution group exhibited significantly larger AL (24.13 mm vs. 23.93 mm, P < 0.001) and more myopic refraction (-1.13 D vs. -0.75 D, P < 0.001) compared to the peripapillary group. A higher prevalence of macular-distributed FT was noted in the myopic groups (χ2 = 131.675, P < 0.001). SE negatively correlated with macular (r = -0.238) and peripapillary FTD (r = -0.195), while AL positively correlated with FTD in both regions (r = 0.308; r = 0.265) (all P < 0.001).
Conclusions: The macular FT distribution pattern is significantly associated with larger AL and greater myopic refraction in school-aged children, suggesting its potential as a marker for identifying children at risk of progressing myopia.
Translational relevance: DL analysis precisely identifies FT distribution patterns, potentially enhancing early detection of high-risk myopia in populations.
目的:利用深度学习(DL)技术量化眼底镶嵌密度(FTD),评价学龄儿童黄斑或乳头周围眼底镶嵌(FT)分布模式的屈光差异。方法:横断面研究包括1942名6至15岁的学龄儿童,接受眼部生物特征参数,睫状体麻痹性屈光和眼底摄影。使用基于dl的图像处理应用于45°彩色眼底照片,对黄斑(6mm)和乳头周围(4mm)区域的FTD进行量化。我们将出现嵌合的眼睛分为两组:黄斑分布组在黄斑区域有较大的FTD,而乳头周围分布组在乳头周围区域有较高的FTD,以便对轴长(AL)、角膜半径和屈光度进行比较分析。结果:参与者的中位年龄为13岁,中位球面等效(SE)为-0.75 D。与乳头周围组相比,黄斑分布组表现出更大的AL (24.13 mm vs. 23.93 mm, P < 0.001)和更多的近视屈光度(-1.13 D vs. -0.75 D, P < 0.001)。近视组黄斑分布性FT患病率较高(χ2 = 131.675, P < 0.001)。SE与黄斑FTD (r = -0.238)、乳头周围FTD (r = -0.195)呈负相关,AL与两个区域FTD呈正相关(r = 0.308;r = 0.265)(均P < 0.001)。结论:学龄儿童黄斑FT分布模式与AL大、近视屈光明显相关,提示其可能作为识别儿童进行性近视风险的标志。翻译相关性:DL分析精确识别FT分布模式,潜在地提高人群中高危近视的早期检测。
期刊介绍:
Translational Vision Science & Technology (TVST), an official journal of the Association for Research in Vision and Ophthalmology (ARVO), an international organization whose purpose is to advance research worldwide into understanding the visual system and preventing, treating and curing its disorders, is an online, open access, peer-reviewed journal emphasizing multidisciplinary research that bridges the gap between basic research and clinical care. A highly qualified and diverse group of Associate Editors and Editorial Board Members is led by Editor-in-Chief Marco Zarbin, MD, PhD, FARVO.
The journal covers a broad spectrum of work, including but not limited to:
Applications of stem cell technology for regenerative medicine,
Development of new animal models of human diseases,
Tissue bioengineering,
Chemical engineering to improve virus-based gene delivery,
Nanotechnology for drug delivery,
Design and synthesis of artificial extracellular matrices,
Development of a true microsurgical operating environment,
Refining data analysis algorithms to improve in vivo imaging technology,
Results of Phase 1 clinical trials,
Reverse translational ("bedside to bench") research.
TVST seeks manuscripts from scientists and clinicians with diverse backgrounds ranging from basic chemistry to ophthalmic surgery that will advance or change the way we understand and/or treat vision-threatening diseases. TVST encourages the use of color, multimedia, hyperlinks, program code and other digital enhancements.