Prediction of OCT contours of short-term response to anti-VEGF treatment for diabetic macular edema using generative adversarial networks

被引：0

作者：

Yang, Xueying ^{[1
]}

Xu, Fabao ^{[1
]}

Yu, Han ^{[1
]}

Li, Zhongwen ^{[2
]}

Yu, Xuechen ^{[1
]}

Li, Zhiwen ^{[1
]}

Zhang, Li ^{[3
]}

Liu, Jie ^{[4
]}

Wang, Shaopeng ^{[5
]}

Liu, Shaopeng ^{[6
]}

Hong, Jiaming ^{[7
]}

Li, Jianqiao ^{[1
]}

机构：

[1] Shandong Univ, Qilu Hosp, Cheeloo Coll Med, Dept Ophthalmol, Jinan, Peoples R China

[2] Wenzhou Med Univ, Ningbo Eye Hosp, Ningbo, Peoples R China

[3] Huazhong Univ Sci & Technol, Cent Hosp Wuhan, Tongji Med Coll, Dept Ophthalmol, Wuhan, Hubei, Peoples R China

[4] Peoples Hosp Zoucheng, Dept Endocrinol, Jining, Peoples R China

[5] Binzhou Med Univ, Zibo Cent Hosp, Zibo, Shandong, Peoples R China

[6] Guangdong Polytech Normal Univ, Sch Comp Sci, Guangzhou, Peoples R China

[7] Guangzhou Univ Chinese Med, Sch Med Informat Engn, Guangzhou, Guangdong, Peoples R China

来源：

PHOTODIAGNOSIS AND PHOTODYNAMIC THERAPY | 2025年 / 52卷

关键词：

Diabetic macular edema; Generative adversarial networks; Deep neural networks; Anti-vascular endothelial growth factor; Optical coherence tomography; OPTICAL COHERENCE TOMOGRAPHY; INTRAVITREAL BEVACIZUMAB; VISUAL-ACUITY; RANIBIZUMAB; CONBERCEPT; ASSOCIATION; RETINOPATHY; PATTERNS; EFFICACY; SAFETY;

D O I：

10.1016/j.pdpdt.2025.104482

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

Diabetic macular edema (DME) stands as a leading cause for vision loss among the working-age population. Antivascular endothelial growth factor (VEGF) agents are currently recognized as the first-line treatment. However, a significant portion of patients remain insensitive to anti-VEGF, resulting in sustained visual impairment. Therefore, it's imperative to predict prognosis and formulate personalized therapeutic regimens. Generative adversarial networks (GANs) have demonstrated remarkably in forecasting prognosis of diseases, yet their performance is still constrained by the limited availability of real-world data and suboptimal image quality, which subsequently impacts the model's outputs. We endeavor to employ preoperative images along with postoperative OCT contours annotated and extracted via LabelMe and OpenCV to train the model in generating postoperative contours of critical OCT structures instead of previous whole retinal morphology, considerably alleviating the difficulty of output phase and diminishing the requisite quantity of training datasets. Our study reveals that the GAN could serve as an auxiliary instrument for ophthalmologists in determining the prognosis of individuals and screening patients with poor responses to anti-VEGF therapy.

引用

页数：11

共 66 条

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