Krebs Ilse, Falkner-Radler Christiane, Hagen Stefan, Haas Paulina, Brannath Werner, Lie Shilla, Ansari-Shahrezaei Siamak, Binder Susanne
Ludwig Boltzmann Institute for Retinology and Biomicroscopic Laser Surgery, Vienna, Austria.
Invest Ophthalmol Vis Sci. 2009 Mar;50(3):995-1000. doi: 10.1167/iovs.08-2617. Epub 2008 Nov 21.
Automatically generated measurements of the retinal volume or the central retinal thickness are based on correctly set threshold lines on the retinal surface and the retinal pigment epithelium. The purpose of this study was to compare the accuracy of threshold algorithm lines of Stratus optical coherence tomography (OCT) with those of Cirrus OCT.
A consecutive series of patients at least 50 years of age with exudative age-related macular degeneration was included. Stratus OCT (retinal thickness program) and Cirrus OCT (macular cube 512 x 128) were performed by the same examiner, the sequence of the examinations was randomized. Two independent examiners evaluated the positioning of the threshold algorithm lines and performed a grading of the failures. Logistic regression analysis was applied for evaluation of the failure rate.
One hundred four patients were included. For the entire OCT examination (6 scans Stratus OCT, 128 scans Cirrus OCT) algorithm line failures were detected in 69.2% of the Stratus OCT and in 25% of the Cirrus OCT examinations, with the difference reaching statistical significance (P < 0.001). The median failure grade was 1 (0-6) for Stratus and 0 (0-5.15) for Cirrus OCT. Age, measurement sequence, and investigator did not influence the error rates.
With Cirrus OCT automatically performed and therefore objective measurements of central retinal thickness and retinal volume were provided correctly in 69.2% of the scans. Furthermore, this latest software version offers the possibility of manual correction of false positioned algorithm lines (ClinicalTrials.gov number, NCT00568191).
视网膜体积或视网膜中央厚度的自动生成测量值基于视网膜表面和视网膜色素上皮上正确设置的阈值线。本研究的目的是比较Stratus光学相干断层扫描（OCT）与Cirrus OCT阈值算法线的准确性。
纳入一系列连续的年龄至少50岁的渗出性年龄相关性黄斑变性患者。由同一名检查者进行Stratus OCT（视网膜厚度程序）和Cirrus OCT（黄斑立方体512×128）检查，检查顺序随机。两名独立的检查者评估阈值算法线的定位并对失败情况进行分级。应用逻辑回归分析评估失败率。
纳入104例患者。在整个OCT检查中（Stratus OCT扫描6次，Cirrus OCT扫描128次），Stratus OCT检查中有69.2%检测到算法线失败，Cirrus OCT检查中有25%检测到算法线失败，差异具有统计学意义（P<0.001）。Stratus OCT的失败分级中位数为1（0 - 6），Cirrus OCT为0（0 - 5.15）。年龄、测量顺序和检查者均未影响错误率。
使用Cirrus OCT自动进行检查时，69.2%的扫描能正确提供视网膜中央厚度和视网膜体积的客观测量值。此外，该最新软件版本提供了手动校正算法线错误定位的可能性（ClinicalTrials.gov编号，NCT00568191）。
