Suzuki Y, Kitazawa Y, Araie M, Yamagami J, Yamamoto T, Ishida K, Tsuji A, Abe H, Shirakashi M, Funaki S, Mishima H K, Tsukamoto H, Okada K, Shibata T
Department of Ophthalmology, University of Tokyo School of Medicine, Japan.
J Glaucoma. 2001 Apr;10(2):121-8. doi: 10.1097/00061198-200104000-00009.
To determine a mathematically optimal sector pattern of the central 30 degree visual field for the follow-up of glaucomatous visual field change based on a large number of actual visual field test data of patients with glaucoma.
Visual field test data obtained from 1,039 eyes of 1,039 patients with open-angle glaucoma (OAG) using the 30-2 program of the Humphrey Field Analyzer were used for sectorization of the central 30 degree visual field. Of the 1,039 visual field data, 698 (modeling data) were used for determining the sector pattern and 341 (testing data) for checking the sector pattern. The modeling data were further divided into three groups according to the mean deviation (MD) (MD > or = -10 dB, -20 < or = MD < -10 dB, and MD < -20 dB), and the sector pattern was constructed from visual field data of each group using a clustering procedure called VARCLUS. The testing data were used for determining the optimal sector pattern. In a separate set of repeated visual field data of 303 patients with OAG, the fluctuation of MD, sector values of each sector determined, and total deviation of each test point were calculated and compared.
The sector pattern constructed from visual field data of MD > or = -10 dB summarized the visual field performance most effectively. The fluctuation of the sector value of each sector was roughly 1.5 times smaller than the total deviation of each test point.
The sector pattern determined may be useful in analyses of the visual field data of patients with glaucoma.
基于大量青光眼患者的实际视野测试数据，确定用于青光眼视野变化随访的中央30度视野的数学最优扇形模式。
使用 Humphrey 视野分析仪的 30-2 程序从 1039 例开角型青光眼（OAG）患者的 1039 只眼中获得的视野测试数据用于中央 30 度视野的扇形划分。在这 1039 个视野数据中，698 个（建模数据）用于确定扇形模式，341 个（测试数据）用于检验扇形模式。建模数据根据平均偏差（MD）进一步分为三组（MD≥-10dB、-20≤MD＜-10dB 和 MD＜-20dB），并使用称为 VARCLUS 的聚类程序从每组的视野数据构建扇形模式。测试数据用于确定最优扇形模式。在另一组 303 例 OAG 患者的重复视野数据中，计算并比较了 MD 的波动、每个扇形确定的扇形值以及每个测试点的总偏差。
由 MD≥-10dB 的视野数据构建的扇形模式最有效地概括了视野表现。每个扇形的扇形值波动大致比每个测试点的总偏差小 1.5 倍。
确定的扇形模式可能有助于青光眼患者视野数据的分析。
