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脉络膜血管密度在预测糖尿病视网膜病变进展中的诊断价值

Diagnostic value of choroidal vascular density in predicting the progression of diabetic retinopathy.

作者信息

Yin Chuanjie, Zhang Shanshan, Guo Dong, Qin Jianmin, Lou Huadong, Zhang Guowen

机构信息

Department of Ophthalmology, Qingdao Eighth People's Hospital, Shandong Second Medical University, Qingdao, 266100, Shandong Province, China.

Department of Ophthalmology, Weifang Aier Eye Hospital, Weifang, 261000, Shandong Province, China.

出版信息

Sci Rep. 2025 May 5;15(1):15671. doi: 10.1038/s41598-025-00528-y.

Abstract

By utilizing widefield swept-source optical coherence tomography angiography (WSS-OCTA) to quantify choroidal vascular density (VD) in order to identify early fundus changes in diabetic patients and to predict the progression of diabetic retinopathy (DR). A total of 101 eyes, including patients with type 2 diabetes mellitus and controls, were included in the cross-sectional study. Diabetic patients were stratified into three groups based on disease severity: non-DR (NDR), nonproliferative DR (NPDR), and proliferative DR (PDR). Fundus images obtained through WSS-OCTA were segmented into nine 2 mm × 2 mm regions centered on the macula: supratemporal (ST), superior (S), supranasal (SN), temporal (T), central macular area (C), nasal (N), inferotemporal (IT), inferior (I), and inferonasal (IN). Changes in choroidal VD in the choriocapillaris (CC) and mid-large choroidal vasculature (MLCV) layers were evaluated in each region among patients with DR. Additionally, the diagnostic value of choroidal VD in distinguishing different stages of DR was assessed using the area under the receiver operating characteristic (ROC) curve. In comparison to the NDR group, the VD of MLCV (S) was found to decrease significantly in the NPDR group. Furthermore, the VD of CC (S) was significantly lower in the PDR group compared to the NPDR group. The VD of MLCV (IN) demonstrated potential in distinguishing between healthy eyes and those with NDR. Additionally, the VD of CC (SN) and MLCV (S, SN, C, I) showed relatively high area under the curve (AUC) values in discriminating between NDR and NPDR. Lastly, the VD of CC (S) exhibited good diagnostic accuracy in distinguishing between NPDR and PDR patients. As DR advances, MLCV and CC are sequentially compromised to varying degrees. In clinical diagnosis, the VD of the IN region in the MLCV layer serves as a more sensitive early imaging biomarker for detecting preclinical DR, while a decrease in the VD of the S region in the CC layer indicates the onset of PDR.

摘要

通过利用宽场扫频源光学相干断层扫描血管造影术(WSS-OCTA)来量化脉络膜血管密度(VD),以识别糖尿病患者的早期眼底变化并预测糖尿病视网膜病变(DR)的进展。这项横断面研究共纳入了101只眼睛,包括2型糖尿病患者和对照组。糖尿病患者根据疾病严重程度分为三组:非糖尿病性视网膜病变(NDR)、非增殖性糖尿病性视网膜病变(NPDR)和增殖性糖尿病性视网膜病变(PDR)。通过WSS-OCTA获得的眼底图像被分割为以黄斑为中心的九个2毫米×2毫米区域:颞上(ST)、上方(S)、鼻上(SN)、颞侧(T)、黄斑中心区(C)、鼻侧(N)、颞下(IT)、下方(I)和鼻下(IN)。在DR患者的每个区域中评估脉络膜毛细血管(CC)层和中大型脉络膜血管(MLCV)层中脉络膜VD的变化。此外,使用受试者操作特征(ROC)曲线下面积评估脉络膜VD在区分DR不同阶段中的诊断价值。与NDR组相比,发现NPDR组中MLCV(S)的VD显著降低。此外,与NPDR组相比,PDR组中CC(S)的VD显著更低。MLCV(IN)的VD在区分健康眼睛和NDR眼睛方面显示出潜力。此外,CC(SN)和MLCV(S、SN、C、I)的VD在区分NDR和NPDR方面显示出相对较高的曲线下面积(AUC)值。最后,CC(S)的VD在区分NPDR和PDR患者方面表现出良好的诊断准确性。随着DR的进展,MLCV和CC会依次受到不同程度的损害。在临床诊断中,MLCV层中IN区域的VD作为检测临床前DR的更敏感的早期成像生物标志物,而CC层中S区域的VD降低表明PDR的开始。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f6e/12053639/14b1bc18de19/41598_2025_528_Fig1_HTML.jpg

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