Singapore Eye Research Institute and Singapore National Eye Center, Singapore.
Ophthalmology. 2010 Feb;117(2):290-7. doi: 10.1016/j.ophtha.2009.07.018. Epub 2009 Dec 14.
To evaluate the performance of the Heidelberg Retina Tomograph II (HRT II, Heidelberg Engineering, Heidelberg, Germany) in diagnosing glaucoma in a population setting.
Population-based cross-sectional study.
Of 3280 Malay persons aged 40 to 80 years who participated in the survey, 112 subjects (124 eyes) with glaucoma and a subset of 196 bilaterally normal subjects (392 eyes) were included for the evaluation of diagnostic ability of HRT II.
All glaucomatous and normal eyes underwent standardized ophthalmic assessment (including automated perimetry) and HRT II. Glaucoma was defined according to International Society for Geographical and Epidemiological Ophthalmology criteria. Area under the curve (AUC) receiver operating characteristic (ROC), sensitivity, and specificity were used to evaluate the diagnostic performance of HRT II algorithms. Marginal logistic regression models were used to evaluate the influence of optic disc size on the results of HRT II algorithms.
The HRT II algorithms: linear discriminant functions (LDFs) by Mikelberg et al (LDF1), Burk et al (LDF2), Bathija et al (LDF3), and Moorfields regression analysis (MRA). The MRA was subdivided into MRA1 with "borderline" outcomes as positive and MRA2 with "borderline" outcomes as negative.
Subjects with cataract, visual impairment, astigmatism, and greater negative spherical equivalent, and of older age were more likely to yield lower quality images. For analyses by eye, AUCs were 0.789, 0.704, 0.755, 0.754, and 0.762 for MRA1, MRA2, LDF1, LDF2, and LDF3, respectively. At 85% specificity, sensitivities were 62.1%, 65.3%, and 66.9% for LDF1, LDF2, and LDF3, respectively. At 95% specificity, these figures decreased to 31.5%, 42.7%, and 45.2%, respectively. The sensitivity and specificity were 71.0% and 86.7% for MRA1 and 43.6% and 97.2% for MRA2, respectively. Similar estimates were found for analyses by person. Larger optic disc size was associated with increased sensitivity and false-positive rate for MRA1, LDF1, and LDF2. LDF1 and LDF3 were least affected by optic disc area, but the sensitivities were moderate and the false-positive rates were high across different optic disc areas.
The current HRT II algorithms are of limited value for population-based glaucoma screening in the Malay population and do not account adequately for optic disc size.
评估海德堡视网膜断层扫描仪 II (HRT II,海德堡工程公司,海德堡,德国)在人群中诊断青光眼的性能。
基于人群的横断面研究。
在参加调查的 3280 名 40 至 80 岁的马来人中,纳入了 112 名(124 只眼)青光眼患者和 196 名双侧正常的亚组(392 只眼),用于评估 HRT II 的诊断能力。
所有青光眼和正常眼均接受标准化眼科评估(包括自动视野检查)和 HRT II。根据国际地理和流行病学眼科协会的标准定义青光眼。曲线下面积(AUC)接收器操作特征(ROC)、敏感性和特异性用于评估 HRT II 算法的诊断性能。边际逻辑回归模型用于评估视盘大小对 HRT II 算法结果的影响。
HRT II 算法:Mikelberg 等人的线性判别函数(LDF)(LDF1)、Burk 等人(LDF2)、Bathija 等人(LDF3)和 Moorfields 回归分析(MRA)。MRA 分为“边界”结果为阳性的 MRA1 和“边界”结果为阴性的 MRA2。
患有白内障、视力障碍、散光和更大负球镜的患者,以及年龄较大的患者,更有可能获得质量较低的图像。对于每只眼睛的分析,MRA1、MRA2、LDF1、LDF2 和 LDF3 的 AUC 分别为 0.789、0.704、0.755、0.754 和 0.762。在 85%特异性时,LDF1、LDF2 和 LDF3 的敏感性分别为 62.1%、65.3%和 66.9%。在 95%特异性时,这些数字分别降至 31.5%、42.7%和 45.2%。MRA1 的敏感性和特异性分别为 71.0%和 86.7%,MRA2 的敏感性和特异性分别为 43.6%和 97.2%。在个人分析中也发现了类似的估计值。较大的视盘大小与 MRA1、LDF1 和 LDF2 的敏感性和假阳性率增加有关。LDF1 和 LDF3 受视盘面积影响最小,但敏感性适中,假阳性率在不同视盘面积下较高。
目前的 HRT II 算法对于马来人群的基于人群的青光眼筛查没有太大价值,并且不能充分考虑视盘大小。