Department of Ophthalmology and Optometry, Medical University, Vienna, Austria.
Invest Ophthalmol Vis Sci. 2011 Jun 28;52(7):4571-9. doi: 10.1167/iovs.10-6846.
To estimate the potential of polarization-sensitive optical coherence tomography (PS-OCT) for quantitative assessment of drusen in patients with early age-related macular degeneration (AMD).
Fifteen eyes from 13 patients presenting drusen consistent with Age-Related Eye Disease Study classifications (grades 2 and 3) were examined ophthalmoscopically, followed by fundus photography, autofluorescence imaging, and three-dimensional scanning using a PS-OCT. For the automated evaluation of drusen location, area, and volume, a novel segmentation algorithm was developed based on the polarization scrambling characteristics of the retinal pigment epithelium (RPE) and applied to each complete data set. Subsequently, the drusen in each individual B-scan were identified by two independent expert graders. Concordance between manual and automated segmentation results was analyzed. Errors in the automated segmentation performance were classified as nonsignificant, moderate, or severe. RESULTS. In all, 2355 individual drusen, with a mean of 157 drusen per eye, were analyzed. Of drusen seen in the individual B-scans, 91.4% were detected manually by both expert graders. The automated segmentation algorithm identified 96.5% of all drusen without significant error. The mean difference in manual and automated drusen area (mean, 4.65 mm(2)) was 0.150. The number of detected drusen was significantly higher with automated than that with manual segmentation. PS-OCT segmentation was generally superior to fundus photography (P < 0.001). Particularly in nondetected drusen, a large variability in drusen morphology was noted.
Automated drusen detection based on PS-OCT technology allows a fast and accurate determination of drusen location, number, and total area.
评估偏振敏感光学相干断层扫描（PS-OCT）在定量评估早期年龄相关性黄斑变性（AMD）患者中玻璃膜疣的潜力。
13 例患者的 15 只眼表现出与年龄相关性眼病研究分类一致的玻璃膜疣（2 级和 3 级），对这些眼进行了眼科检查，然后进行了眼底照相、自发荧光成像和基于 PS-OCT 的三维扫描。为了自动评估玻璃膜疣的位置、面积和体积，基于视网膜色素上皮（RPE）的偏振混乱特性开发了一种新的分割算法，并应用于每个完整的数据集合。随后，由两位独立的专家分级员在每个单独的 B 扫描中识别玻璃膜疣。分析手动和自动分割结果的一致性。自动分割性能的误差分为不显著、中度或严重。
总共分析了 2355 个单独的玻璃膜疣，每个眼平均有 157 个玻璃膜疣。在单个 B 扫描中看到的玻璃膜疣中，91.4%被两位专家分级员手动检测到。自动分割算法识别了 96.5%的所有玻璃膜疣，没有显著的错误。手动和自动玻璃膜疣面积的平均差异（平均值，4.65mm²）为 0.150。与手动分割相比，自动分割检测到的玻璃膜疣数量明显更高。PS-OCT 分割通常优于眼底照相（P<0.001）。特别是在未检测到的玻璃膜疣中，玻璃膜疣形态的变异性很大。
基于 PS-OCT 技术的自动玻璃膜疣检测可以快速、准确地确定玻璃膜疣的位置、数量和总面积。
