Artificial intelligence and hemodynamic studies in optical coherence tomography angiography for diabetic retinopathy evaluation: A review.

IF 1.7 4区 医学 Q3 ENGINEERING, BIOMEDICAL
K Pradeep, Vijay Jeyakumar, Muna Bhende, Areeba Shakeel, Shriraam Mahadevan
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引用次数: 0

Abstract

Diabetic retinopathy (DR) is a rapidly emerging retinal abnormality worldwide, which can cause significant vision loss by disrupting the vascular structure in the retina. Recently, optical coherence tomography angiography (OCTA) has emerged as an effective imaging tool for diagnosing and monitoring DR. OCTA produces high-quality 3-dimensional images and provides deeper visualization of retinal vessel capillaries and plexuses. The clinical relevance of OCTA in detecting, classifying, and planning therapeutic procedures for DR patients has been highlighted in various studies. Quantitative indicators obtained from OCTA, such as blood vessel segmentation of the retina, foveal avascular zone (FAZ) extraction, retinal blood vessel density, blood velocity, flow rate, capillary vessel pressure, and retinal oxygen extraction, have been identified as crucial hemodynamic features for screening DR using computer-aided systems in artificial intelligence (AI). AI has the potential to assist physicians and ophthalmologists in developing new treatment options. In this review, we explore how OCTA has impacted the future of DR screening and early diagnosis. It also focuses on how analysis methods have evolved over time in clinical trials. The future of OCTA imaging and its continued use in AI-assisted analysis is promising and will undoubtedly enhance the clinical management of DR.

人工智能和血流动力学研究在光学相干断层扫描血管造影评估糖尿病视网膜病变:综述。
糖尿病视网膜病变(Diabetic retinopathy, DR)是一种新兴的视网膜病变,可通过破坏视网膜血管结构导致严重的视力丧失。最近,光学相干断层血管造影(OCTA)已成为诊断和监测dr的有效成像工具。OCTA产生高质量的三维图像,并提供视网膜血管毛细血管和神经丛的更深入的可视化。各种研究都强调了OCTA在DR患者的检测、分类和治疗方案规划中的临床意义。从OCTA获得的定量指标,如视网膜血管分割、中央凹无血管区(FAZ)提取、视网膜血管密度、血流速度、流速、毛细血管压力和视网膜氧提取,已被确定为使用人工智能(AI)计算机辅助系统筛查DR的关键血流动力学特征。人工智能有可能帮助医生和眼科医生开发新的治疗方案。在这篇综述中,我们探讨OCTA如何影响DR筛查和早期诊断的未来。它还侧重于分析方法如何随着时间的推移在临床试验中演变。OCTA成像及其在人工智能辅助分析中的持续应用前景广阔,无疑将增强DR的临床管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.60
自引率
5.60%
发文量
122
审稿时长
6 months
期刊介绍: The Journal of Engineering in Medicine is an interdisciplinary journal encompassing all aspects of engineering in medicine. The Journal is a vital tool for maintaining an understanding of the newest techniques and research in medical engineering.
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