Glaucoma Service, Rotterdam Eye Hospital, Rotterdam, The Netherlands.
Ophthalmology. 2010 Apr;117(4):717-23. doi: 10.1016/j.ophtha.2009.09.026. Epub 2010 Jan 4.
To determine the diagnostic accuracy of judging optic disc photographs for glaucoma by ophthalmologists.
Evaluation of diagnostic test and technology.
A total of 243 of 875 invited ophthalmologists in 11 European countries.
We determined how well each participant classified 40 healthy eyes and 48 glaucomatous eyes with varying severity of the disease on stereoscopic slides. Duplicate slides were provided for determining intraobserver agreement. All eyes were also imaged with the GDx with variable corneal compensation (GDx-VCC) (Carl Zeiss Meditec AG, Jena, Germany) and the Heidelberg Retina Tomograph (HRT) I (Heidelberg Engineering GmbH, Heidelberg, Germany). Diagnostic accuracies of clinicians were compared with those of the best machine classifiers.
Accuracy of classification, expressed as sensitivity, specificity, and overall accuracy. Intraobserver agreement (kappa).
The overall diagnostic accuracy of ophthalmologists was 80.5% (standard deviation [SD], 6.8; range, 61.4%-94.3%). The machine classifiers outperformed most observers in diagnostic accuracy; the GDx-VCC nerve fiber indicator and the HRT's best classifier correctly classified 93.2% and 89.8% of eyes, respectively. The intraobserver agreement (kappa) varied between -0.13 and 1.0 and was on average good (0.7).
In general, ophthalmologists classify optic disc photographs moderately well for detecting glaucoma. There is, however, large variability in diagnostic accuracy among and agreement within clinicians. Common imaging devices outperform most clinicians in classifying optic discs.
FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found after the references.
评估眼科医生判断青光眼视盘照片的诊断准确性。
诊断测试和技术的评估。
来自 11 个欧洲国家的 875 名受邀眼科医生中共有 243 名参加。
我们评估了每位参与者对 40 只健康眼和 48 只不同严重程度青光眼眼的立体幻灯片分类能力。为了确定观察者内的一致性,还提供了重复的幻灯片。所有的眼睛都使用 GDx 进行了成像,具有可变的角膜补偿(GDx-VCC)(德国卡尔蔡司 Meditec AG,耶拿)和 Heidelberg Retina Tomograph(HRT)I(德国海德堡工程有限公司,海德堡)。临床医生的诊断准确性与最佳机器分类器进行了比较。
分类准确性,以敏感性、特异性和总体准确性表示。观察者内一致性(kappa)。
眼科医生的总体诊断准确性为 80.5%(标准差[SD],6.8;范围,61.4%-94.3%)。机器分类器在诊断准确性方面优于大多数观察者;GDx-VCC 神经纤维指标和 HRT 的最佳分类器分别正确分类了 93.2%和 89.8%的眼睛。观察者内一致性(kappa)在-0.13 到 1.0 之间,平均较好(0.7)。
一般来说,眼科医生对检测青光眼的视盘照片的分类能力中等。然而,临床医生之间的诊断准确性存在很大差异,且观察者内的一致性也存在差异。常见的成像设备在对视盘进行分类方面优于大多数临床医生。
参考文献后可能有专有或商业披露。