病理近视的 fundus tessellated 密度 的近视
Hai-Long He1, Yi-Xin Liu1, Xuan-Yu Chen2
1Beijing Institute of Ophthalmology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
|December 11, 2023
概括
底部形密度 (FTD) 随着病理近视 (PM) 类别的增加而下降. 人工智能对 fundus 照片的分析量化了FTD,有助于PM分类和理解高近视并发症.
科学领域:
- 眼科医生 眼科 眼科
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 病态近视 (PM) 是不可逆转的视力丧失的主要原因.
- 准确的分类和了解PM进展对于患者管理至关重要.
- 底部形的外观,表明膜和胸膜稀薄,是PM的特征.
研究的目的:
- 在不同类型的病理近视 (PM) 中量化评估 fundus tessellated density (FTD).
- 应用人工智能 (AI) 来从底部照片中提取和计算FTD.
- 评估FTD与PM类别和临床参数的相关性.
主要方法:
- 对407个患有PM的眼睛 (2-4类) 的回顾性分析.
- 利用人工智能驱动的图像处理用于特定底部区域 (光盘和黄斑区域) 的FTD量化.
- 使用单变量和多变量回归分析来确定与FTD的关联.
主要成果:
- 平均FTD与PM类别呈负相关性,从2类降至4类.
- 年龄与FTD有显著的关联,而轴长度没有.
- "X"分区方法对黄斑区域显示出更好的适用性.
结论:
- 在PM类别中,FTD呈现下降趋势,不论缩.
- 量化FTD可以增强PM分类系统.
- FTD测量提供了对后部稳形瘤和高近视的视野缺陷的见解.
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