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Updated: Jul 28, 2025

Quantification of Vascular Parameters in Whole Mount Retinas of Mice with Non-Proliferative and Proliferative Retinopathies

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Published on: March 12, 2022

将普通视网膜血管口径测量软件与自动深度学习系统进行比较

Shuang He^1,2, Gabriella Bulloch^3,4, Liangxin Zhang⁵

¹State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China.

Current eye research

|May 29, 2023

概括

视网膜血管口径测量显示,IVAN和RMHAS软件之间对CRAE和AVR的协议中等,对CRVE的协议很好. 需要进一步验证临床互换性.

关键词:

一致性分析分析是一致性分析.伊万·伊万 (IVAN) 是一个人.深度学习系统深度学习系统视网膜血管口径测量测量一个半自动化分析软件.

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科学领域:

眼科医生眼科眼科
医疗成像医学成像
生物医学工程生物医学工程

背景情况:

视网膜微血管变化是系统血管健康的指标.
精确测量视网膜血管口径对于诊断和监测各种疾病至关重要.
现有的视网膜分析软件工具可能会产生不同的结果,影响临床可比性.

研究的目的:

为了比较基于视网膜的微血管健康评估系统 (RMHAS) 和整合性血管分析 (IVAN) 软件之间的视网膜血管口径测量的准确性和一致性.
评估从RMHAS和IVAN获得的测量的可互换性,用于临床应用.

主要方法:

来自Lingtou眼睛队列研究的视网膜底部照片使用IVAN和RMHAS软件进行了分析,用于自动测量血管直径.
通过使用类内相关系数 (ICC) 和布兰德-阿尔特曼图表来量化软件间的变化.
皮尔森的相关性评估了系统变量和视网膜口径之间的关联,并提出了测量转换算法.

主要成果:

在IVAN和RMHAS之间发现了中等的类内相关系数 (ICC) 中央视网膜动脉等价值 (CRAE) (0.62) 和动脉至静脉比率 (AVR) (0.42).
对于中枢视网膜静脉等效 (CRVE) (0.76) 观察到出色的ICC.
在两种软件系统之间,在系统参数与视网膜口径的相关性方面发现了显著的差异 (p < 0.05).

结论:

对CRAE和AVR的视网膜血管口径测量显示IVAN和RMHAS之间的一致性适度,而CRVE显示良好一致.
这些系统在临床实践中尚未完全互换.
需要进一步的大规模研究来确认这些视网膜分析软件工具的可接受性和可比性.