Accuracy and Reproducibility of Automated Drusen Segmentation in Eyes with Non-Neovascular Age-Related Macular Degeneration
Accuracy and Reproducibility of Automated Drusen Segmentation in Eyes with Non-Neovascular Age-Related Macular Degeneration
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DOI：
10.1167/iovs.12-10582
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发表时间：
2012-12-01
影响因子：
4.4
通讯作者：
Sadda, SriniVas R.
中科院分区：
文献类型：
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作者：
Nittala, Muneeswar Gupta;Ruiz-Garcia, Humberto;Sadda, SriniVas R.
目的.目的评价在非新生血管性年龄相关性黄斑变性（AMD）患者的光谱域光学相干断层扫描（SD-OCT）图像中，采用自动玻璃疣分割算法进行玻璃疣定量的准确性和可重复性。使用商业自动化算法（Cirrus OCT RPE分析工具）和手动分割在30名接受体积OCT扫描的干性AMD受试者的44只眼睛中进行玻璃疣分割。玻璃疣（外部RPE层和布鲁赫膜之间的空间）使用自动化RPE工具自动分割并通过3D-OCTOR软件手动分割。计算所有患眼的玻璃疣面积和体积。还收集了年龄和视力数据。通过组内相关（ICC）评估手动和自动测量的重现性。受试者的平均年龄为78.24岁（± 9.4岁;范围：56-97岁）。平均logMAR（最小分辨角的对数）视力为0.4（Snellen等效，类似于20/50）（标准差，0.40;范围，0-1.3）。玻璃疣面积的平均值（标准差）为5.05（3.67）mm（2），手动分割和4.66（3.51）mm（2），自动RPE工具;绝对差异为2.63（2.5）mm（2）。手动分割的平均玻璃疣体积为1.49（0.42）mm（3），自动RPE工具为1.42（0.43）mm（3）;绝对差异为1.42（0.43）mm（3）。玻璃疣体积的手动和自动测量之间的一致性（最高ICC = 0.95）优于玻璃疣面积的一致性（ICC = 0.65）。与人类专家手动分割相比，使用自动化RPE对玻璃疣面积和体积进行量化，体积比面积更一致。使用该软件，玻璃疣体积测量可能是在临床试验和临床实践中量化玻璃疣负担的有用工具。（Invest Ophthalmol维斯科学。2012;53：8319-8324）DOI：10.1167/iovs.12-10582
PURPOSE. To evaluate the accuracy and reproducibility of drusen quantification by an automated drusen segmentation algorithm in spectral domain optical coherence tomography (SD-OCT) images of eyes with non-neovascular age-related macular degeneration (AMD).METHODS. Drusen segmentation was performed using both a commercial automated algorithm (Cirrus OCT RPE analysis tool) and manual segmentation in 44 eyes of 30 subjects with dry AMD who underwent volume OCT scanning. The drusen (space between outer RPE layer and Bruch's membrane) was segmented automatically using an automated RPE tool and manually by 3D-OCTOR software. Drusen area and volume were calculated in all eyes. Age and visual acuity data were also collected. Reproducibility of manual and automated measurements was assessed by intraclass correlation (ICC).RESULTS. The mean age of subjects was 78.24 (+/- 9.4; range, 56-97 years). The mean logMAR (logarithm of the minimum angle of resolution) visual acuity was 0.4 (Snellen equivalent, similar to 20/50) (standard deviation, 0.40; range, 0-1.3). The mean (standard deviation) drusen area was 5.05 (3.67) mm(2) with manual segmentation and 4.66 (3.51) mm(2) with the automated RPE tool; the absolute difference was 2.63 (2.5) mm(2). The mean drusen volume was 1.49 (0.42) mm(3) with manual segmentation and 1.42 (0.43) mm(3) with the automated RPE tool; the absolute difference was 1.42 (0.43) mm(3). The agreement between manual and automated measurements of drusen volume (highest ICC = 0.95) was better than the agreement for drusen area (ICC = 0.65).CONCLUSIONS. The quantification of drusen area and volume using an automated RPE yielded better agreement for volume than for area when compared with human expert manual segmentation. Using this software, drusen volume measurements may be a useful tool for quantifying drusen burden in clinical trials and clinical practice. (Invest Ophthalmol Vis Sci. 2012;53:8319-8324) DOI:10.1167/iovs.12-10582