Ophthalmic Surg Lasers Imaging Retina. 2020 Feb 1;51(2):95-100. doi: 10.3928/23258160-20200129-05.
To quantitatively evaluate diabetic retinopathy (DR) lesions using the authors' validated machine learning algorithms and provide physicians with an automated and precise method to follow the progression of DR and outcome of interventions.
Retrospective analyses were conducted of 3,496 color fundus photography images from 19 patients with clinically significant diabetic macular edema receiving conbercept treatment. The modified seven-field fundus images were obtained at baseline and at the third, sixth, and twelfth month visit, whereas the modified two-field fundus images were obtained at the other monthly visits. The area of intraretinal hemorrhage and hard exudate lesions was traced by the authors' validated algorithms.
The mean central foveal thickness at baseline was 459.9 μm ± 127.5 μm. Mean central foveal thickness was 316.5 μm ± 53.0 μm at the twelfth month visit, which decreased by 143.4 μm when compared with the baseline optical coherence tomography. The mean total area of intraretinal hemorrhage in the study eye in seven fields was 5.656 ± 1.176 mm at baseline, 2.438 ± 0.976 mm at the third month, 2.901 ± 0.521 mm at the sixth month, and 2.122 ± 0.582 mm at the end of the study. The area of intraretinal hemorrhage was reduced by 62.49% from baseline to the end of study (P < .0001). The mean total area of hard exudates in the study eye was 2.549 ± 0.776 mm at baseline, 2.233 ± 0.576 mm at the third month, 2.710 ± 0.621 mm at the sixth month, and 1.473 ± 0.564 mm at the end of the study. The mean total area of hard exudates decreased by 41.1% at the twelfth month (P < .0001) compared with the first visit. Significant decrease was observed in the area of intraretinal hemorrhage during conbercept treatment. The hard exudates area fluctuated during loading then subsequently decreased at the twelfth month.
The present study quantitatively analyzed the change in the area change of intraretinal hemorrhage and hard exudate lesions during the course of conbercept treatment. The automated system is promising to be a precise and objective method for monitoring the progression of DR and outcomes of interventions in clinical settings. [Ophthalmic Surg Lasers Imaging Retina. 2020;51:95-100.].
使用作者验证的机器学习算法定量评估糖尿病性视网膜病变（DR）病变，并为医生提供一种自动且精确的方法来跟踪 DR 的进展和干预的结果。
对 19 名患有临床显著糖尿病性黄斑水肿并接受康柏西普治疗的患者的 3496 张彩色眼底摄影图像进行回顾性分析。在基线以及第 3、6 和 12 个月就诊时获得改良的 7 视野眼底图像，而在其他每月就诊时获得改良的 2 视野眼底图像。作者验证的算法用于追踪视网膜内出血和硬性渗出病变的区域。
基线时的平均中央黄斑中心凹厚度为 459.9μm±127.5μm。在第 12 个月就诊时，平均中央黄斑中心凹厚度为 316.5μm±53.0μm，与光学相干断层扫描相比减少了 143.4μm。研究眼中 7 个视野的视网膜内出血总面积在基线时为 5.656±1.176mm，在第 3 个月时为 2.438±0.976mm，在第 6 个月时为 2.901±0.521mm，在研究结束时为 2.122±0.582mm。从基线到研究结束，视网膜内出血面积减少了 62.49%（P<0.0001）。研究眼中硬性渗出物的总面积在基线时为 2.549±0.776mm，在第 3 个月时为 2.233±0.576mm，在第 6 个月时为 2.710±0.621mm，在研究结束时为 1.473±0.564mm。与首次就诊相比，第 12 个月（P<0.0001）时硬性渗出物的总面积减少了 41.1%。在康柏西普治疗期间观察到视网膜内出血面积显著减少。硬性渗出物的面积在加载时波动，然后在第 12 个月时减少。
本研究定量分析了康柏西普治疗过程中视网膜内出血和硬性渗出病变面积的变化。自动化系统有望成为一种精确和客观的方法，用于监测 DR 的进展和临床环境中干预的结果。
