Anna Theresa Lorenz, Andreas Pollreisz, Ursula Schmidt-Erfurth, Peter Szurman, Boris Stanzel
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引用次数: 0
Abstract
Diabetes mellitus is a chronic disease the microvascular complications of which include diabetic retinopathy and maculopathy. Diabetic macular edema, proliferative diabetic retinopathy, and diabetic macular ischemia pose a threat to visual acuity. Artificial intelligence can play an increasingly more important role in making the diagnosis and the treatment regimen of maculopathies in everyday clinical practice in the future. It can be used to automatically detect and quantify pathological parameters of the retina. The aim is to improve patient care in the clinical routine using so-called clinical decision support systems with personalized treatment algorithms. This review article outlines the current research regarding new biomarkers in diabetic maculopathy using optical coherence tomography (OCT) and OCT angiography (OCT-A).
糖尿病是一种慢性疾病，其微血管并发症包括糖尿病视网膜病变和黄斑病变。糖尿病黄斑水肿、增殖性糖尿病视网膜病变和糖尿病黄斑缺血对视力构成威胁。在未来的日常临床实践中，人工智能可以在黄斑病变的诊断和治疗方案中发挥越来越重要的作用。它可用于自动检测和量化视网膜的病理参数。其目的是利用所谓的临床决策支持系统和个性化治疗算法来改善临床常规的病人护理。这篇综述文章概述了目前利用光学相干断层扫描（OCT）和 OCT 血管造影术（OCT-A）对糖尿病黄斑病变的新生物标志物进行的研究。
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