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区分多发性硬化和玻璃眼,通过对周周神经纤维层的部门模式分析来区分多发性硬化和玻璃眼

Po-Han Yeh^1,2, Ou Tan¹, Elizabeth Silbermann³

¹Casey Eye Institute, Oregon Health & Science University, Portland, OR, USA.

Translational vision science & technology

|November 13, 2024

概括

分析神经纤维层 (NFL) 稀薄模式可以帮助区分多发性硬化症 (MS) 和玻璃眼. 定量模式索引有效地区分这些光学神经病变使用光学连贯性断层扫描.

科学领域:

眼科医生眼科眼科
神经科学是一个神经科学.
医疗成像医学成像

背景情况:

多发性硬化症 (MS) 和玻璃眼是不同的视神经病变.
由于症状重叠,区分多发性多发性硬化和青光眼可能具有挑战性.
光学连贯性断层扫描 (OCT) 对于评估视神经健康至关重要.

研究的目的:

用特定的神经纤维层 (NFL) 稀薄模式来区分多发性硬化症 (MS) 和玻璃眼.
评估定量模式索引在区分这些条件中的有效性.

主要方法:

在8个部门分析了MS,玻璃眼和对照对象的周周NFL厚度.
与规范数据相比,计算了NFL厚度的百分比减少.
使用接收机操作特征 (ROC) 分析开发和评估了诊断指数.

主要成果:

多发性硬化眼睛在上部和下部的部门显示出明显的NFL稀薄.
玻璃眼睛的眼睛在下,下鼻和上的部分变薄.
一个时间模式指数在区分显著的NFL减少群体方面取得了高准确性 (92.6%).

结论:

将NFL的减少正常化为正常参考的百分比,突出显示了MS和玻璃眼的特征模式.
从OCT获得的定量模式指数在区分MS和玻璃眼病方面是有效的.
分析NFL的百分比减少模式提高了OCT在诊断视神经病变中的实用性.

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