Frisén L, Rossitti S
Department of Ophthalmology, University of Göteborg, Sweden.
Vision Res. 1996 Feb;36(3):491-7. doi: 10.1016/0042-6989(95)00127-1.
Objective identification of minor visual field defects is problematic. A possible solution is to examine spatial correlations by means of relative dispersion analysis, a tool of fractal analysis. We studied patients with glaucoma, previous optic neuritis, chiasmal compression and lesions of the brain hemispheres, using high-pass resolution perimetry. One-hundred visual field records were drawn consecutively for each category and ranked according to severity of defects. Records with scores ranking below the 35th percentile, i.e. those with the smallest field defects, were analysed. Relative dispersion analysis recognized 1.3-2.4 times more abnormal subjects than did pattern standard deviation. A previously described form index was intermediate in sensitivity. Specificity was 96%. Relative dispersion analysis appears to capture a novel aspect of visual field abnormality, with good sensitivity and specificity. The analysis is easily performed.
微小视野缺损的客观识别存在问题。一种可能的解决方法是通过相对离散度分析来检查空间相关性,这是分形分析的一种工具。我们使用高通分辨率视野检查法研究了青光眼、既往视神经炎、视交叉受压和脑半球病变的患者。为每个类别连续绘制100份视野记录,并根据缺损的严重程度进行排名。对得分低于第35百分位数的记录,即视野缺损最小的记录进行分析。相对离散度分析识别出的异常受试者比模式标准差多1.3 - 2.4倍。先前描述的形态指数在敏感性方面处于中间水平。特异性为96%。相对离散度分析似乎捕捉到了视野异常的一个新方面,具有良好的敏感性和特异性。该分析易于执行。