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在光学连贯性断层扫描 (en face image) 与底部摄影 (fundus photography) 之间对内硬排液量化的比较
Donghee Park1, Kyoung Lae Kim, Sung Pyo Park
1Department of Ophthalmology, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea.
Indian journal of ophthalmology
|January 25, 2024
概括
使用面对面的光学连贯断层扫描 (OCT) 或用机器学习的 fundus 摄影量化内硬液 (HE) 是可靠的. HE区域的变化落后于中央黄斑厚度 (CMT) 的变化,特别是在抗VEGF治疗后.
科学领域:
- 眼科医生 眼科 眼科
- 医疗成像医学成像
- 视网膜疾病 视网膜疾病
背景情况:
- 糖尿病视网膜病变和科茨病可以导致带有硬液 (HE) 的黄斑胀.
- 精确量化HE对于监测疾病进展和治疗疗效至关重要.
- 面对光学连贯性断层扫描 (OCT) 和底部摄影是用于视网膜诊断的成像方式.
研究的目的:
- 用面对面的OCT和 fundus摄影来比较内硬排泄物 (HE) 的量化.
- 评估基于机器学习的工具对高等教育量化的有用性.
主要方法:
- 面对面的OCT图像和10名患者13只眼睛的 fundus 照片的分析.
- 使用基于机器学习的图像分析工具"ilastik"进行量化.
- 患者患有与糖尿病视网膜病变或科茨病相关的斑点.
主要成果:
- 面对面的OCT测量了较大的HE面积 (0.49 ± 0.35 mm2) 与底部摄影 (0.34 ± 0.34 mm2) 相比 (P < 0.001).
- 在面对面的OCT和 fundus 照片测量之间发现了很好的相关性 (ICC = 0.844).
- HE区域的变化落后于中央黄斑厚度 (CMT) 的变化几个月,特别是在用抗VEGF治疗的眼睛中.
结论:
- 通过机器学习辅助的面对OCT或 fundus摄影,可以可靠地量化肠内HE.
- 这些发现表明HE区域对CMT变化的反应延迟,特别是在接受抗VEGF治疗的眼睛中.
- 机器学习工具提高了视网膜成像中HE量化的准确性和一致性.
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