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Quantitative analysis of vascular complexity in OCTA of diabetic retinopathy

机译:糖尿病性视网膜病变OCTA中血管复杂性的定量分析

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Diabetic retinopathy (DR) is a major ocular manifestation of diabetes. DR can cause irreversible damage to the retina if not intervened timely. Therefore, early detection and reliable classification are essential for effective management of DR. As DR progresses into the proliferative stage (PDR), manifestation of localized neovascularization and complex capillary meshes are observed in the retina. These vascular complex structures can be quantified as biomarkers of transition of DR from no-proliferative to proliferative stage (NPDR). This study investigates four optical coherence tomography angiography (OCTA) features, i.e. vessel complexity index (VCI), fractal dimension (FD), four-point crossover (FCO), and blood vessel tortuosity (BVT), to quantify vascular complexity to distinguish NPDR from PDR eyes. OCTA images from 20 control, 60 NPDR and 56 PDR patients were analyzed. The univariate analysis showed that, with the progression of DR, all four complexity features increased with statistical significance (ANOVA, P < 0.05). A post-hoc study showed that, only VCI and BVT were able to distinguish between NPDR and PDR. A multivariate logistic regression identified VCI and BVT as the most significant feature combination for NPDR vs PDR classification.
机译:糖尿病性视网膜病(DR)是糖尿病的主要眼部表现。如果不及时干预,DR会对视网膜造成不可挽回的损害。因此,早期发现和可靠分类对于有效管理灾难恢复至关重要。随着DR进入增生阶段(PDR),在视网膜中观察到局部新血管形成和复杂的毛细血管网的表现。这些血管复合物结构可以被量化为DR从无增殖阶段向增殖阶段(NPDR)转变的生物标记。这项研究调查了四个光学相干断层扫描血管造影(OCTA)功能,即血管复杂度指数(VCI),分形维数(FD),四点交叉(FCO)和血管曲折度(BVT),以量化血管复杂度以区分NPDR从PDR的眼睛。分析了来自20名对照,60名NPDR和56名PDR患者的OCTA图像。单因素分析表明,随着DR的发展,所有四个复杂性特征均具有统计学意义(ANOVA,P <0.05)。事后研究表明,只有VCI和BVT能够区分NPDR和PDR。多元Logistic回归确定VCI和BVT是NPDR与PDR分类的最重要特征组合。

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