O'Leary Neil, Crabb David P, Mansberger Steven L, Fortune Brad, Twa Michael D, Lloyd Michael J, Kotecha Aachal, Garway-Heath David F, Cioffi George A, Johnson Chris A
Department of Optometry and Visual Science, City University London, Northampton Square, London EC1V 0HB, United Kingdom.
Arch Ophthalmol. 2010 May;128(5):560-8. doi: 10.1001/archophthalmol.2010.52.
To compare optic disc changes using automated analysis of Heidelberg retina tomograph (HRT) images with assessments, by glaucoma specialists, of change in stereoscopic photographs.
Baseline and follow-up stereophotographs and corresponding HRT I series of 91 eyes from 56 patients were selected. The selection criteria were sufficiently long, good-quality HRT series (7 visits in > or =70 months of follow-up) and follow-up photographs contemporaneous with the final HRT image. Topographic change analysis (TCA), statistic image mapping (SIM), and linear regression of rim area (RALR) across time were applied to HRT series. Glaucomatous change determined from stereophotographs by expert observers was used as the reference standard.
Expert observers identified 33 eyes (36%) as exhibiting glaucomatous change. Altering HRT progression criteria such that 36% of eyes progressed according to each method resulted in concordance between HRT methods and stereophotograph assessment of 54% for TCA, 65% for SIM, and 67% for RALR (Cohen kappa = 0.05, 0.23, and 0.30, respectively). Receiver operating characteristic curves of the HRT analyses revealed poor precision of HRT analyses to predict stereophotograph-assessed change: areas under the curve were 0.61 for TCA, 0.62 for SIM, and 0.66 for RALR.
Statistical methods for detecting structural changes in HRT images exhibit only moderate agreement with each other and have poor agreement with expert-assessed change in optic disc stereophotographs.
通过对海德堡视网膜断层扫描(HRT)图像进行自动分析,并与青光眼专家对立体照片变化的评估进行比较,来对比视盘变化情况。
选取了56例患者91只眼的基线和随访立体照片以及相应的HRT I系列图像。选择标准为HRT系列图像足够长且质量良好(随访≥70个月中有7次检查),以及与最终HRT图像同期的随访照片。对HRT系列图像应用地形变化分析(TCA)、统计图像映射(SIM)以及沿时间的视盘边缘面积线性回归(RALR)。由专家观察者根据立体照片确定的青光眼性变化用作参考标准。
专家观察者确定33只眼(36%)有青光眼性变化。改变HRT进展标准,使每种方法有36%的眼出现进展,结果显示HRT方法与立体照片评估之间的一致性为:TCA为54%,SIM为65%,RALR为67%(Cohen卡方值分别为0.05、0.23和0.30)。HRT分析的受试者工作特征曲线显示,HRT分析预测立体照片评估变化的精度较差:曲线下面积TCA为0.61,SIM为0.62,RALR为0.66。
检测HRT图像结构变化的统计方法之间仅表现出中等程度的一致性,与专家评估的视盘立体照片变化的一致性较差。