基于大微角膜特征的角膜瘤诊断通过光学连贯性断层扫描
Changyong Chen1, Fan Zhang2, Yun Tang1
1State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, International Research Center for Advanced Photonics, Zhejiang University, Hangzhou, Zhejiang 310027, China.
Biomedical optics express
|November 26, 2025
概括
一种新的定量方法结合了宏观和微观角膜数据,使用光学连贯断层扫描 (OCT) 来诊断角 (一种眼睛疾病). 这种方法通过分析原体微观结构,准确地识别了角质的早期迹象.
科学领域:
- 眼科和生物医学光学
- 角膜生物力学和成像技术
背景情况:
- 角膜是一种眼科病,由于中枢角膜变薄,导致不规则的眼和高近视.
- 目前的临床诊断依赖于宏观水平的角膜拓,缺乏既定的微观结构标准.
- 需要先进的诊断方法来检测形瘤中的微妙的原变化.
研究的目的:
- 通过整合宏观和微观角膜信息,开发一种对角膜的定量诊断方法.
- 用 in vivo 光学连贯断层扫描 (OCT) 来描述角膜层中微层原微结构的变化.
- 建立一个新的诊断工具,用于检测角和风险映射.
主要方法:
- 开发了一种量化诊断方法,将宏观 (角膜曲率,厚度) 和微观 (原纤维对齐) 变量结合起来.
- 在体内采用光学相干断层扫描 (OCT) 来评估角膜原组织.
- 根据104名参与者的加权宏观和微观变量计算了球潜在指数 (KPI).
主要成果:
- 使用OCT证明了用OCT来描述角膜原组织的可行性.
- 开发的定量方法显示了在检测角的诊断能力非常出色.
- 在区分角病例时,实现了0.991的曲线下的面积 (AUC).
结论:
- 综合的宏观微观定量方法为形的诊断提供了新的洞察力.
- 在体内OCT为评估角膜微观结构和诊断角膜提供了强大的工具.
- 角潜在指数 (KPI) 作为疾病检测和风险评估的可靠量化指标.
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