Zangwill Linda M, Jain Sonia, Racette Lyne, Ernstrom Karin B, Bowd Christopher, Medeiros Felipe A, Sample Pamela A, Weinreb Robert N
Hamilton Glaucoma Center, Department of Ophthalmology, University of California, San Diego, CA 92093-0946, USA.
Invest Ophthalmol Vis Sci. 2007 Jun;48(6):2653-60. doi: 10.1167/iovs.06-1314.
To compare the effect of disc size and disease severity on the Heidelberg Retina Tomograph (HRT) Glaucoma Probability Score (GPS) and the Moorfields Regression Analysis (MRA) for discriminating between glaucomatous and healthy eyes.
Ninety-nine eyes with repeatable standard automated perimetry results showing glaucomatous damage and 62 normal eyes were included from the longitudinal Diagnostic Innovations in Glaucoma Study (DIGS). The severity of glaucomatous visual field defects ranged from early to severe (average [95% CI] pattern standard deviation [PSD] was 5.7 [5.0-6.5] dB). The GPS (HRTII ver. 3.0; Heidelberg Engineering, Heidelberg, Germany) utilizes two measures of peripapillary retinal nerve fiber layer shape (horizontal and vertical retinal nerve fiber layer curvature) and three measures of optic nerve head shape (cup depth, rim steepness, and cup size) as input into a relevance vector machine learning classifier that estimates a probability of having glaucoma. The MRA compares measured rim area with predicted rim area adjusted for disc size to categorize eyes as outside normal limits, borderline, or within normal limits. The effect of disc size and severity of disease on the diagnostic accuracy of both GPS and MRA was evaluated using the generalized estimating equation marginal logistic regression analysis.
Using the manufacturers' suggested cutoffs for GPS global classification (>64% as outside normal limits), the sensitivity and specificity (95% CI) were 71.7% (62.2%-79.7%) and 82.3% (71.0%-89.8%), respectively. The sensitivity and specificity (95% CI) of the MRA result were 66.7% (58.0%-76.1%) and 88.7% (78.5%-94.34%), respectively. Likelihood ratios for regional GPS and MRA results outside normal limits ranged from 4.0 to 10.0, and 6.0 to infinity, respectively. Disc size and severity of disease were significantly associated with the sensitivity of both GPS and MRA.
GPS tended to have higher sensitivities and somewhat lower specificities and lower likelihood ratios than MRA. These results suggest that in this population, GPS and MRA differentiate between glaucomatous and healthy eyes with good sensitivity and specificity. In addition, the likelihood ratios suggest that GPS may be most useful for confirming a normal disc, whereas MRA may be most helpful in confirming a suspicion of glaucoma. Larger disc size and more severe field loss were associated with improved diagnostic accuracy for both GPS and MRA.
比较视盘大小和疾病严重程度对海德堡视网膜断层扫描仪(HRT)青光眼概率评分(GPS)以及摩尔菲尔兹回归分析(MRA)在鉴别青光眼性眼和健康眼方面的影响。
从青光眼纵向诊断创新研究(DIGS)中纳入了99只具有可重复的标准自动视野检查结果且显示青光眼性损害的眼睛以及62只正常眼睛。青光眼性视野缺损的严重程度从早期到重度不等(平均[95%CI]模式标准偏差[PSD]为5.7[5.0 - 6.5]dB)。GPS(HRTII版本3.0;德国海德堡海德堡工程公司)利用视乳头周围视网膜神经纤维层形状的两种测量指标(水平和垂直视网膜神经纤维层曲率)以及视神经乳头形状的三种测量指标(杯盘深度、边缘陡峭度和杯盘大小)作为输入,进入一个相关向量机学习分类器,该分类器估计患青光眼的概率。MRA将测量的视盘边缘面积与根据视盘大小调整后的预测视盘边缘面积进行比较,以将眼睛分类为超出正常范围、临界或在正常范围内。使用广义估计方程边际逻辑回归分析评估视盘大小和疾病严重程度对GPS和MRA诊断准确性的影响。
使用制造商建议的GPS总体分类临界值(>64%为超出正常范围),敏感性和特异性(95%CI)分别为71.7%(62.2% - 79.7%)和82.3%(71.0% - 89.8%)。MRA结果的敏感性和特异性(95%CI)分别为66.7%(58.0% - 76.1%)和88.7%(78.5% - 94.34%)。区域GPS和MRA结果超出正常范围的似然比分别为4.0至10.0和6.0至无穷大。视盘大小和疾病严重程度与GPS和MRA的敏感性均显著相关。
与MRA相比,GPS往往具有更高的敏感性、略低的特异性和更低的似然比。这些结果表明,在该人群中,GPS和MRA在鉴别青光眼性眼和健康眼方面具有良好的敏感性和特异性。此外,似然比表明GPS可能在确认正常视盘方面最有用,而MRA可能在确认青光眼疑似病例方面最有帮助。更大的视盘大小和更严重的视野缺损与GPS和MRA的诊断准确性提高相关。