Department of Ophthalmology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, 100045, China.
Beijing Key Laboratory for Pediatric Diseases of Otolaryngology, Head and Neck Surgery, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Methods. 2023 May;213:26-32. doi: 10.1016/j.ymeth.2023.03.003. Epub 2023 Mar 15.
Amblyopia is an abnormal visual processing-induced developmental disorder of the central nervous system that affects static and dynamic vision, as well as binocular visual function. Currently, changes in static vision in one eye are the gold standard for amblyopia diagnosis. However, there have been few comprehensive analyses of changes in dynamic vision, especially eye movement, among children with amblyopia. Here, we proposed an optimization scheme involving a video eye tracker combined with an "artificial eye" for comprehensive examination of eye movement in children with amblyopia; we sought to improve the diagnostic criteria for amblyopia and provide theoretical support for practical treatment. The resulting eye movement data were used to construct a deep learning approach for diagnostic and predictive applications. Through efforts to manage the uncooperativeness of children with strabismus who could not complete the eye movement assessment, this study quantitatively and objectively assessed the clinical implications of eye movement characteristics in children with amblyopia. Our results indicated that an amblyopic eye is always in a state of adjustment, and thus is not "lazy." Additionally, we found that the eye movement parameters of amblyopic eyes and eyes with normal vision are significantly different. Finally, we identified eye movement parameters that can be used to supplement and optimize the diagnostic criteria for amblyopia, providing a diagnostic basis for evaluation of binocular visual function.
弱视是一种中枢神经系统发育障碍性视觉异常，影响静态和动态视觉以及双眼视觉功能。目前，单眼静态视觉的变化是弱视诊断的金标准。然而，对于弱视儿童的动态视觉变化，特别是眼球运动，很少有全面的分析。在这里，我们提出了一种涉及视频眼动追踪仪和“人工眼”的优化方案，用于全面检查弱视儿童的眼球运动；我们旨在改进弱视的诊断标准，并为实际治疗提供理论支持。所得到的眼动数据用于构建一种用于诊断和预测应用的深度学习方法。通过努力管理无法完成眼动评估的斜视儿童的不配合，本研究从定量和客观的角度评估了弱视儿童眼球运动特征的临床意义。我们的结果表明，弱视眼总是处于调整状态，因此并不是“懒惰”的。此外，我们发现弱视眼和正常视力眼的眼动参数有显著差异。最后，我们确定了可以用于补充和优化弱视诊断标准的眼动参数，为评估双眼视觉功能提供了诊断依据。
