作者
A Yasin Alibhai, Lucas R De Pretto, Eric M Moult, Chris Or, Malvika Arya, Mitchell McGowan, Oscar Carrasco-Zevallos, ByungKun Lee, Siyu Chen, Caroline R Baumal, Andre J Witkin, Elias Reichel, Anderson Zanardi de Freitas, Jay S Duker, James G Fujimoto, Nadia K Waheed
发表日期
2020/3/1
期刊
Retina
卷号
40
期号
3
页码范围
412-420
出版商
LWW
简介
Purpose:
To combine advances in high-speed, wide-field optical coherence tomography angiography (OCTA) with image processing methods for semiautomatic quantitative analysis of capillary nonperfusion in patients with diabetic retinopathy (DR).
Methods:
Sixty-eight diabetic patients (73 eyes), either without retinopathy or with different degrees of retinopathy, were prospectively recruited for volumetric swept-source OCTA imaging using 12 mm× 12 mm fields centered at the fovea. A custom, semiautomatic software algorithm was used to quantify areas of capillary nonperfusion.
Results:
The mean percentage of nonperfused area was 0.1%(95% confidence interval: 0.0–0.4) in the eyes without DR; 2.1%(95% confidence interval: 1.2–3.7) in the nonproliferative DR eyes (mild, moderate, and severe), and 8.5%(95% confidence interval: 5.0–14.3) in the proliferative DR eyes. The percentage of nonperfused area …
学术搜索中的文章
AY Alibhai, LR De Pretto, EM Moult, C Or, M Arya… - Retina, 2020