*Doheny Eye Institute, Los Angeles, California; †Department of Ophthalmology, Federal University of Sao Paulo, São Paulo, Brazil; ‡Department of Ophthalmology, Evangelical Hospital of Curitiba, Curitiba, Brazil; and §Department of Ophthalmology, Keck School of Medicine of the University of Southern California, Los Angeles, California.
Retina. 2014 Jan;34(1):55-62. doi: 10.1097/IAE.0b013e31829d0015.
To compare drusen measurements obtained from color fundus and infrared retromode photographs with those derived from spectral-domain optical coherence tomography.
Drusen lesions identified on the planar (color and infrared) imaging modalities were manually segmented by two independent graders using previously described reading center software to produce quantitative measurements of drusen area and number. The corresponding volume Cirrus OCT datasets were analyzed using commercial retinal pigment epithelium analysis algorithms to segment the retinal pigment epithelium band and estimated the drusen area. Drusen numbers were extracted from retinal pigment epithelium elevation maps. Intraclass correlation coefficients assessed agreement between graders; graders' average measurements were compared with optical coherence tomography (OCT) using paired T-tests.
Excellent agreement between graders was observed (r = 0.951-0.974). No statistical difference was found in the area values obtained by color (0.85 ± 0.26 mm(2), P = 0.43) or retromode (1.15 ± 0.32 mm(2), P = 0.35) compared with those obtained by OCT (0.98 ± 0.28 mm). The number of drusen identified by OCT (13.15 ± 3.19) was significantly lower than that determined by manual segmentation of color (53.7 ± 13.18) and retromode (100.13 ± 16.18) images.
Although the number of drusen individualized by commercial OCT algorithms is significantly lower than by planar fundus imaging modalities, the OCT-measured drusen area is not affected, suggesting that the algorithm counts confluent drusen as a single drusen.
比较彩色眼底和红外反转模式照片与光谱域光相干断层扫描(OCT)获得的玻璃膜疣(drusen)测量值。
通过两个独立的评分员使用之前描述的阅读中心软件对平面(彩色和红外)成像方式识别的玻璃膜疣病变进行手动分割,以产生玻璃膜疣面积和数量的定量测量。使用商用视网膜色素上皮(RPE)分析算法分析相应的 Cirrus OCT 数据集,以分割 RPE 带并估计玻璃膜疣面积。从视网膜色素上皮抬高图中提取玻璃膜疣数量。使用组内相关系数评估评分员之间的一致性;使用配对 t 检验比较评分员的平均测量值与 OCT。
评分员之间观察到极好的一致性(r = 0.951-0.974)。与 OCT 相比,彩色(0.85 ± 0.26mm2,P = 0.43)或反转模式(1.15 ± 0.32mm2,P = 0.35)获得的面积值没有统计学差异。OCT 识别的玻璃膜疣数量(13.15 ± 3.19)明显低于彩色(53.7 ± 13.18)和反转模式(100.13 ± 16.18)图像手动分割的玻璃膜疣数量。
尽管商用 OCT 算法个体化的玻璃膜疣数量明显低于平面眼底成像方式,但 OCT 测量的玻璃膜疣面积不受影响,表明该算法将融合的玻璃膜疣计为单个玻璃膜疣。