视网膜神经纤维层是视网膜的最内层，主要由来自视网膜神经节细胞的无髓鞘轴突组成，此外还有神经胶质细胞与视网膜血管，其厚度与年龄、眼球增长、眼底结构改变等因素相关。光学相干断层扫描可以清晰展示角膜、视网膜、脉络膜、视神经等高分辨率断层图像，可以在活体上显示生物学组织的细微结构，在临床与科研中已获得广泛应用。在青光眼视神经病变中，光学相干断层扫描可以发现视野异常前的视网膜神经纤维层损害，已成为青光眼早期诊断与视神经损伤程度检测的重要手段。除视神经病外，越来越多的研究表明许多视网膜血管疾病、神经元变性疾病等视网膜疾病也有视网膜神经纤维层的损伤。探讨视网膜疾病与神经纤维层的关系，将有利于进一步推进对视网膜疾病发病机制及病理改变的认识。本文就视网膜神经纤维层的定量评估与多种视网膜疾病的关系展开综述，为其在视网膜疾病中的应用提供参考。
The retinal nerve fiber layer, the innermost layer of the retina, consists mainly of unmyelinated axons from retinal ganglion cells, as well as glial cells and retinal blood vessels , the thickness of which is related to factors such as age, ocular growth and fundus structure changes. Optical coherence tomography (OCT) can clearly display the cornea, retina, choroid, optic nerve and other high-resolution tomography images. It can show the fine structure of biological tissues in vivo, which has been widely used in clinical and scientific research. In glaucomatous optic neuropathy, OCT can detect the damage of retinal nerve fiber layer before abnormal visual field, which has become an important means of early diagnosis of glaucoma and detection of the degree of optic ner ve damage. In addition to optic neuropathy, more studies have shown that many retinal diseases such as retinal vascular diseases and neurodegenerative diseases also have retinal nerve fiber layer injury. Exploring the relationship between retinal diseases and nerve fiber layer will be beneficial to further promote the understanding of the pathogenesis and pathological changes of retinal diseases. This paper reviews the relationship between the quantitative evaluation of retinal nerve fiber layer and various retinal diseases, and provides reference for its application in retinal diseases.
近年来，眼部电流刺激(electrical stimulation,ES)在不同方向的研究中逐渐揭示了其在多种视网膜疾病中的潜在治疗价值。其中，经角膜电刺激(transcorneal electrical stimulation,TES)作为一种非侵入性的治疗方法，能对视网膜、视神经、眼底血管及其相关结构产生积极的影响。TES能够改善视力，在保护感光细胞和减缓疾病进展方面显示出积极效果，提高患者的生存质量，还能够在不损伤眼球的情况下调节大脑中的神经元活动，为视网膜疾病的治疗提供一种新的选择。该文对近年来TES在视网膜色素变性(retinitis pigmentosa,RP)、年龄相关性黄斑变性(age-related macular degeneration,AMD)、视网膜血管病、青光眼以及视神经病变等疾病中的应用研究进行了综述。研究发现，TES治疗是一种安全且无需手术的辅助治疗工具，具有广泛的应用前景。该文旨在为临床医师提供一个全面的TES研究概述，并深入探讨其在眼科学领域的潜在应用价值。然而，TES治疗的具体机制仍需进一步探讨，以便更好地应用于临床实践。同时，未来研究还应关注TES与其他治疗方法相结合的效果，以期为患者提供更多有效的治疗选择。
In recent years, electrical stimulation of the eye (ES) has gradually revealed its potential therapeutic value in a variety of retinal diseasesin different directions. Among them, transcorneal electrical stimulation (TES), as a non-invasive treatment, can have a positive effect on the retina, optic nerve, fundus vessels and related structures. TES can improve vision, show positive effects in protecting photoreceptor cells and slowing disease progression, improve the quality of life of patients, and can regulate neuronal activity in the brain without damaging the eyeball, providing a new option for the treatment of retinal diseases. The research on the application on TES on retinitis pigementosa (RP), age-related macular degeneration (AMD), retinal angiopathy, glaucoma and optic neuropathy are reviewed in this article. It is found in the study that TES therapy is a safe and surgery-free adjuvant therapy tool, and has a wide application prospect. The purpose of this article is to provide clinicians with a comprehensive overview of TES research,and to explore its potential application value in the field of ophthalmology. However, the specific mechanism of TES therapy still needs to be further explored in order to better apply in clinical practice. At the same time, future studies should also focus on the effect of combining TES with other treatment methods, in order to provide more effective treatment options for patients.
目的：借助于人工智能(artificial intelligence,AI)眼底筛查远程接转诊系统，探索“患者-社区-医院”远程筛查模式，推进眼科分级诊疗和双向转诊实施，为地市级医疗机构开展眼底疾病人工智能筛查工作提供一定的经验借鉴。方法：通过AI辅助远程筛查基层医疗机构的4886例患者，完成眼科检查并经AI初判、人工复核形成眼底诊断结论。通过医联体和专科联盟模式，对基层医疗机构的4886例患者的AI诊断系统结果和上级医师审核结果进行对照分析，分析AI诊断系统在眼科常见病种筛查中的推广应用的可信度和可行性。结果：AI检出DR的灵敏度为94.70%，特异度96.06%；DME的灵敏度96.43%，特异度96.55%；AMD的灵敏度77.55%，特异度95.74%；同时，其在病理性近视、白内障、青光眼等常见病种眼底筛查中也有一定作用。结论：AI辅助远程筛查系统对于绝大多数眼底疾病有较高的敏感性和特异性，适用于眼底疾病的筛查工作，利于基层医院或社区医院对于眼底疾病的初步诊断，落实眼科分级诊疗，有借鉴推广意义。
Objective: With the help of artificial intelligence (AI) based fundus screening remote referral telemedicine system,it enables us to explore the remote screening mode of patient-community-hospital, and promote the two-way referral and ophthalmic graded diagnosis. This investigation provides certain practice experiences for prefecture-level medical institutions to carry out AI screening for fundus diseases. Methods: Ophthalmologic examination was performed on 4,886 patients in primary medical institutions through AI-aided remote screening, and the final fundus diagnosis conclusion was formed after AI preliminary judgment and manual review. Through the Medical Consortium and specialty alliance model, the results of the AI diagnosis system and the audit results of superior physicians for 4 886 patients in primary care institutions were compared and analyzed, and the credibility and feasibility of the AI diagnosis system application in the screening of common ophthalmic diseases were discussed. Results: The sensitivity and specificity of AI detection of diabetic retinopathy were 94.70% and 96.06%, respectively. In the diabetic macular edema classification, the sensitivity and specificity were 96.43% and 96.55%, respectively. In the age-related macular degeneration classification, the sensitivity and specificity were 77.55% and 95.74%, respectively. Meanwhile, it also plays a role in screening common fundus diseases such as pathological myopia, cataract and glaucoma. Conclusion: The AI-aided remote screening system has high sensitivity and specificity for most of fundus diseases, indicating it is promising for fundus diseases screening in primary medical institutions. It is conducive for primary hospitals or community hospitals to carry out the initial diagnosis of fundus diseases, as well as the implementation of graded diagnosis and treatment of ophthalmology, which has reference and promotion significance.
