Enhanced Detection of Reticular Pseudodrusen on Color Fundus Photos by Image Embossing.
Enhanced Detection of Reticular Pseudodrusen on Color Fundus Photos by Image Embossing.
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DOI：
10.1080/02713683.2022.2126860
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发表时间：
2022-11
影响因子：
2
通讯作者：
中科院分区：
文献类型：
--
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评估使用图像压印技术处理彩色眼底照片（CFP）是否可以提高网状假性玻璃疣（RPD）的检测。该事后分析包括入组Amish眼科研究的患有早期或中期年龄相关性黄斑变性（AMD）和RPD证据的受试者的眼睛。所有患者均接受CFP、近红外反射（NIR）和眼底自发荧光（FAF）成像。RPD的地面真实存在是通过NIR和FAF成像的组合建立的。通过用表示原始CFP图像中的亮和暗边界的高光或阴影替换CFP图像的每个像素来创建压花处理（EP）图像。由两名分级员以掩蔽方式评估CFP和EP图像中RPD的存在，并评估CFP和EP检测RPD的灵敏度。科恩的kappa（k）被用来测试年级间的协议CFP和EP。共分析了62例RPD患者的106只眼。CFP和EP检测RPD的敏感性分别为63.2%（95%CI：52.0%~ 74.4%）和91.5%（95%CI：85.0%~ 98.0%）。CFP和EP检测RPD的评定者间信度分别为0.81和0.84。CFP的压印可以提高RPD检测的灵敏度。压花技术可以是一个有用的工具，更好地评估真实频率的RPD数据集，只有CFP图像。
To evaluate whether processing a color fundus photo (CFP) using an image embossing technique can improve the detection of reticular pseudodrusen (RPD). This post-hoc analysis included the eyes of subjects enrolled in the Amish Eye Study with early or intermediate age-related macular degeneration (AMD) and evidence of RPD. All patients underwent CFP, near-infrared reflectance (NIR), and fundus autofluorescence (FAF) imaging. The ground truth presence of RPD was established with a combination of NIR and FAF imaging. An embossing processed (EP) image was created by replacing each pixel of the CFP image with a highlight or a shadow representing light and dark boundaries in the original CFP image. The presence of RPD in CFP and EP images was assessed by two graders in a masked fashion and the sensitivity of CFP and EP for detection of RPD was evaluated. Cohen’s kappa (k) was used to test inter-grader agreement for CFP and EP. A total of 106 eyes from 62 patients with RPDs were analyzed. The sensitivity for detection of RPD on CFP and EP was 63.2% (95%CI: 52.0%-74.4%) and 91.5% (95%CI: 85.0%-98.0%), respectively. The inter-rater reliabilities of CFP and EP for RPD detection were 0.81 and 0.84, respectively. Embossing of CFP can improve the sensitivity for detection of RPD. The embossing technique can be a useful tool for better assessment of the true frequency of RPD in datasets where only CFP images are available.
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影响因子：
13.7
作者：
Finger, Robert P.;Chong, Elaine;Guymer, Robyn H.
通讯作者：
Guymer, Robyn H.
影响因子：
4.2
作者：
Klein, Ronald;Meuer, Stacy M.;Klein, Barbara E. K.
通讯作者：
Klein, Barbara E. K.
影响因子：
4.5
作者：
Cozzi, Mariano;Monteduro, Davide;Staurenghi, Giovanni
通讯作者：
Staurenghi, Giovanni
影响因子：
13.7
作者：
Pumariega NM;Smith RT;Sohrab MA;Letien V;Souied EH
通讯作者：
Souied EH
影响因子：
13.7
作者：
Hogg, Ruth E.;Silva, Rufino;Chakravarthy, Usha
通讯作者：
Chakravarthy, Usha