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青光眼患者中央30度视野的分区

Sectorization of the central 30 degrees visual field in glaucoma.

作者信息

Suzuki Y, Araie M, Ohashi Y

机构信息

Department of Ophthalmology, Faculty of Medicine, University of Tokyo, Japan.

出版信息

Ophthalmology. 1993 Jan;100(1):69-75. doi: 10.1016/s0161-6420(93)31691-x.

DOI:10.1016/s0161-6420(93)31691-x
PMID:8433830
Abstract

PURPOSE

To determine an optimal sector pattern of the central 30 degrees visual field in glaucoma by mathematically analyzing the visual field data of primary open-angle glaucoma (POAG) without any assumption such as the retinal nerve fiber layer anatomy.

METHODS

One hundred three visual fields of the 30-2 program of the Humphrey Field Analyzer obtained from 103 POAG patients of early to moderately advanced stage were included. Based on the interpoint correlation of deviation of the measured threshold value from the age-corrected normal reference value (total deviation, STATPAC), test points of the 30-2 program were mathematically clustered using the VARCLUS procedure, a new clustering algorithm developed by the SAS Institute. The sector value, which summarizes the visual field performance of the clustered test points (sector), also was calculated.

RESULTS

The 30 degrees central visual field was divided into 15 sectors consisting of at least 3 points. The distribution of sectors was compatible with the projection of nerve fiber layers. There was no sector extending over the horizontal meridian, but the sector pattern was not completely symmetrical around it. Linear regression analysis of the sector values against the mean deviation (STATPAC) suggested that the index is useful in following visual field performance of each sector.

CONCLUSION

The sector pattern and sector values obtained were considered useful in studying the visual field data of glaucoma.

摘要

目的

通过对原发性开角型青光眼(POAG)视野数据进行数学分析,在不做任何诸如视网膜神经纤维层解剖结构等假设的情况下,确定青光眼中央30度视野的最佳扇形模式。

方法

纳入从103例早至中度进展期POAG患者获得的103份Humphrey视野分析仪30 - 2程序视野。基于测量阈值与年龄校正正常参考值偏差的点间相关性(总偏差,STATPAC),使用SAS研究所开发的新聚类算法VARCLUS程序对30 - 2程序的测试点进行数学聚类。还计算了总结聚类测试点(扇形)视野表现的扇形值。

结果

30度中央视野被分为15个扇形,每个扇形至少包含3个点。扇形分布与神经纤维层投影相符。没有扇形跨越水平子午线,但扇形模式在其周围并非完全对称。扇形值与平均偏差(STATPAC)的线性回归分析表明,该指标有助于跟踪每个扇形的视野表现。

结论

所获得的扇形模式和扇形值被认为对研究青光眼视野数据有用。

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