Suppr超能文献

青光眼视野:我们现在在哪里?

Visual fields in glaucoma: Where are we now?

机构信息

City Eye Centre, Brisbane, Queensland, Australia.

University of Queensland, Herston, Queensland, Australia.

出版信息

Clin Exp Ophthalmol. 2023 Mar;51(2):162-169. doi: 10.1111/ceo.14210. Epub 2023 Feb 16.

Abstract

Visual fields are an integral part of glaucoma diagnosis and management. COVID has heightened the awareness of the potential for viral spread with the practice of visual fields modified. Mask artefacts can occur due to fogging of the inferior rim of the trail lens. Fortunately, the risk of airborne transmission when field testing is low. The 24-2c may be useful to detect early disease and the 10-2 more sensitive to detect advanced loss. The SITA faster test algorithm is able to reduce testing time thereby improving clinic efficiency, however, may show milder results for moderate or severe glaucoma. The technician has an important role of supervising the visual field performance to achieve reliable output. Home monitoring can provide earlier detection of progression and thus improve monitoring of glaucoma as well as reduce the burden of in-clinic assessments. Artificial Intelligence has been found to have high sensitivity and specificity compared to expert observers in detecting field abnormalities and progression as well as integrating structure with function. Although these advances will improve efficiency and guide accuracy, there will remain a need for clinicians to interpret the results and instigate management.

摘要

视野检查是青光眼诊断和管理的重要组成部分。随着视野检查方法的改变,COVID 提高了人们对病毒传播潜在风险的认识。由于试镜的下缘起雾,可能会出现面罩伪影。幸运的是,在进行视野测试时,空气传播的风险较低。24-2c 可能有助于早期发现疾病,而 10-2 则更能敏感地发现晚期损失。SITA 快速测试算法能够减少测试时间,从而提高诊所的效率,但对中度或重度青光眼可能显示出较轻的结果。技术员在监督视野表现以获得可靠的输出方面发挥着重要作用。家庭监测可以更早地发现疾病进展,从而改善青光眼监测,并减轻诊所评估的负担。与专家观察者相比,人工智能在检测视野异常和进展以及整合结构与功能方面具有较高的敏感性和特异性。尽管这些进展将提高效率和指导准确性,但临床医生仍需要解释结果并启动管理。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验