Customized, Automated Stimulus Location Choice for Assessment of Visual Field Defects
Customized, Automated Stimulus Location Choice for Assessment of Visual Field Defects
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DOI：
10.1167/iovs.13-13761
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发表时间：
2014-05-01
影响因子：
4.4
通讯作者：
Turpin, Andrew
中科院分区：
文献类型：
--
作者：
Chong, Luke X.;McKendrick, Allison M.;Turpin, Andrew
目的.介绍一种自动选择空间测试位置的视野算法（梯度导向的自动自然近邻法[GOANNA]），以改善视野（VF）损失的表征，而不增加测试时间。进行了计算机模拟，以评估GOANNA的性能。GOANNA在150个位置的3度网格上运行，并与用于24-2测试模式中的位置的顺序测试（ZEST）阈值化策略的快速估计进行比较，其余98个位置被内插。使用在所有150个位置测量的23只青光眼眼睛的经验数据进行模拟。通过比较输出阈值与输入阈值（准确度和精密度）并通过评价程序终止所需的演示次数（效率）来评估程序的性能。当在整个领域进行整理时，GOANNA和ZEST之间的准确度，精密度或效率没有显着差异。然而，GOANNA针对暗点边界的呈现;因此，在VF内灵敏度梯度较高的位置，GOANNA更精确和准确。与ZEST相比，GOANNA在具有空间均匀灵敏度的VF区域的精确度略低，但在暗点边缘周围区域的准确度和精确度有所提高。GOANNA提供了一个原则性的框架，用于自动放置额外的测试位置，以在VF丢失的边界周围提供空间上更密集的测试。
PURPOSE. To introduce a perimetric algorithm (gradient-oriented automated natural neighbor approach [GOANNA]) that automatically chooses spatial test locations to improve characterization of visual field (VF) loss without increasing test times.METHODS. Computer simulations were undertaken to assess the performance of GOANNA. GOANNA was run on a 3 degrees grid of 150 locations, and was compared with a zippy estimation by sequential testing (ZEST) thresholding strategy for locations in the 24-2 test pattern, with the remaining 98 locations being interpolated. Simulations were seeded using empirical data from 23 eyes with glaucoma that were measured at all 150 locations. The performance of the procedures was assessed by comparing the output thresholds to the input thresholds (accuracy and precision) and by evaluating the number of presentations required for the procedure to terminate (efficiency).RESULTS. When collated across whole-fields, there was no significant difference in accuracy, precision, or efficiency between GOANNA and ZEST. However, GOANNA targeted presentations on scotoma borders; hence it was more precise and accurate at locations where the sensitivity gradient within the VF was high.CONCLUSIONS. Compared with ZEST, GOANNA was marginally less precise in areas of the VF that had spatially uniform sensitivity, but improved accuracy and precision in regions surrounding scotoma edges. GOANNA provides a principled framework for automatic placement of additional test locations to provide spatially denser testing around the borders of VF loss.