Suppr超能文献

法恩斯沃思-芒塞尔100色调、法恩斯沃思D-15和L'安东尼D-15去饱和颜色测试的比较。

Comparison of the Farnsworth-Munsell 100-Hue, the Farnsworth D-15, and the L'Anthony D-15 desaturated color tests.

作者信息

Bassi C J, Galanis J C, Hoffman J

机构信息

University of Missouri-St Louis School of Optometry 63121.

出版信息

Arch Ophthalmol. 1993 May;111(5):639-41. doi: 10.1001/archopht.1993.01090050073032.

Abstract

OBJECTIVE

The Farnsworth-Munsell 100-Hue, the Farnsworth D-15, and the L'Anthony D-15 desaturated color tests were administered to patients with glaucoma to determine whether the D-15 or D-15 desaturated color tests could be used to predict performance on the 100-Hue test in clinical populations.

METHODS

The three color tests were administered to 35 patients with glaucoma. The results were analyzed using the method of Vingrys and King-Smith that calculates an angle (type of color loss) score, S-index (measure of the randomness of cap arrangement), and a C-index (a measure of the severity of color loss) based on the cap arrangement.

RESULTS

The 100-Hue error score was significantly related to the D-15 and D-15 desaturated C-indexes. Furthermore, the 100-Hue S-index could be predicted from the D-15 or D-15 desaturated S-indexes. The 100-Hue angle could not be predicted from the D-15 or D-15 desaturated color tests.

CONCLUSIONS

The D-15 desaturated color test (which requires significantly less time to administer) may be used to assess the severity of color vision deficit in some patient populations.

摘要

目的

对青光眼患者进行 Farnsworth - Munsell 100 - 色调、Farnsworth D - 15 及 L'Anthony D - 15 去饱和颜色测试,以确定 D - 15 或 D - 15 去饱和颜色测试能否用于预测临床人群在 100 - 色调测试中的表现。

方法

对 35 例青光眼患者进行这三种颜色测试。采用 Vingrys 和 King - Smith 的方法分析结果,该方法基于瓶盖排列计算角度(颜色损失类型)得分、S 指数(瓶盖排列随机性的度量)和 C 指数(颜色损失严重程度的度量)。

结果

100 - 色调误差得分与 D - 15 和 D - 15 去饱和 C 指数显著相关。此外,100 - 色调 S 指数可由 D - 15 或 D - 15 去饱和 S 指数预测得出。100 - 色调角度无法通过 D - 15 或 D - 15 去饱和颜色测试预测。

结论

D - 15 去饱和颜色测试(所需测试时间显著更少)可用于评估某些患者群体中色觉缺陷的严重程度。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验