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通过光学一致性断层扫描早期诊断眼:系统性审查和网络元分析

Azadeh Doozandeh¹, Mohammadmehdi Hatami^1,2, Zahra Khorrami³

¹Ophthalmic Research Center, Research Institute for Ophthalmology and Vision Science, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Journal of ophthalmic & vision research

|March 12, 2026

概括

光学连贯性断层扫描 (OCT) 参数在早期发现青光眼时显示出可比的准确性. 将OCT指标与人工智能相结合可能会改善诊断性能,从而改善患者的治疗结果.

科学领域:

眼科医生眼科眼科
医疗成像医学成像
诊断技术诊断技术的使用

背景情况:

光学连贯断层扫描 (OCT) 是临床实践中快速发展的诊断技术.
对海外和海外国家的进步进行的元分析为临床医生和医疗保健决策者提供了宝贵的见解.
识别OCT在青光眼诊断方面的研究缺口至关重要.

研究的目的:

进行用于早期发现青光瘤的OCT衍生参数的系统审查和网络元分析 (NMA).
为了比较围状视网膜神经纤维层 (RNFL) 厚度,黄斑指标和视神经头部 (ONH) 特征的诊断准确性.
总结现有的证据,这些OCT参数的诊断性能.

主要方法:

在PubMed,Embase,Web of Science和Scopus的系统搜索 (2004年1月至2024年3月).
包括47项符合条件的研究,包括来自8177名参与者的12723只眼睛.
网络元分析 (NMA) 用于比较RNFL,黄斑和ONH参数的诊断准确度.

主要成果:

青光眼检测的最高诊断准确度:平均和较低的RNFL (0.77),黄斑GLV (0.76).
其他准确的参数是:内GCIPL,边缘面积和杯与盘的比率 (0.75).
在所有三个OCT参数类别中,整体诊断准确性是可比的.

结论:

OCT参数显示了可比的诊断准确性,用于早期发现青光瘤.
结合多个OCT参数和人工智能可以提高诊断准确度.
通过改进的OCT分析,通过及时干预,早期发现青光瘤可以带来更好的患者结果.

关键词:

早期的玻璃眼早期的玻璃眼.视神经的头部视神经的头部光学一致性断层扫描技术视网膜团细胞视网膜团细胞诊断诊断诊断诊断诊断

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