OCT Angiography of Type 1 Macular Neovascularization in AMD: A Morphometric Evaluation.

IF 2.6 3区医学 Q2 OPHTHALMOLOGY

Translational Vision Science & Technology Pub Date : 2025-02-03 DOI:10.1167/tvst.14.2.23

Maria Cristina Savastano, Claudia Fossataro, Matteo Mario Carlà, Valentina Cestrone, Ilaria Biagini, Clara Rizzo, Raphael Kilian, Sandrine A Zweifel, Daniel R Muth, Francesco Faraldi, Stanislao Rizzo, David Sarraf

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引用次数: 0

Abstract

Purpose: To determine biomarkers of macular neovascularization (MNV) in neovascular age-related macular degeneration through the application of an automatic algorithm based optical coherence tomography angiography (OCTA) analysis.

Methods: In this retrospective, observational, single-center, cross-sectional study, patients with a diagnosis of age-related macular degeneration complicated by type 1 MNV were included. MNV was detected with OCTA and scans were analyzed with a qualitative and quantitative open-source image processing package. For each analyzed image, we automatically acquired the following data: Total MNV area, vessel area, vessel density (VD), total number of branches, total number of vascular junctions, mean vessel length, mean vessel diameter, fractal dimension (FD), junction density, and vessel tortuosity.

Results: The following morphological parameters revealed a significant negative correlation with best-corrected visual acuity: MNV area - Spearman ρ = -0.309 (P = 0.002); vessel area - Spearman ρ = -0.315 (P = 0.002); total number of vascular junctions - Spearman ρ = -0.285 (P = 0.005), and VL - Spearman ρ = -0.304 (P = 0.003). Immature MNV lesions were significantly associated with better vessel area than mature and hypermature lesions.

Conclusions: Several automated MNV-associated morphological parameters can correlate with the best-corrected visual acuity. Further studies are warranted to determine if these OCTA biomarkers can be applied to guide anti-vascular endothelial growth factor therapy and predict response to treatment.

Translational relevance: The analysis of MNV biomarkers may have prognostic value in terms of visual function.

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黄斑变性患者1型黄斑新生血管的OCT血管造影：形态计量学评价。

目的：通过应用基于自动算法的光学相干断层血管成像（OCTA）分析，确定新生血管性年龄相关性黄斑变性中黄斑新生血管（MNV）的生物标志物。方法：在这项回顾性、观察性、单中心、横断面研究中，纳入了诊断为年龄相关性黄斑变性合并1型MNV的患者。用OCTA检测MNV，用一个定性和定量的开源图像处理包对扫描结果进行分析。对于每张分析图像，我们自动获取以下数据：总MNV面积、血管面积、血管密度（VD）、总分支数、血管连接总数、平均血管长度、平均血管直径、分形维数（FD）、连接密度和血管弯曲度。结果：形态学参数与最佳矫正视力呈显著负相关：MNV面积- Spearman ρ = -0.309 (P = 0.002)；血管面积- Spearman ρ = -0.315 (P = 0.002)；血管连接总数- Spearman ρ = -0.285 (P = 0.005), VL - Spearman ρ = -0.304 （P = 0.003）。未成熟的MNV病变比成熟和过度成熟的病变血管面积更好。结论：几个自动化的mnv相关形态学参数与最佳矫正视力相关。需要进一步的研究来确定这些OCTA生物标志物是否可以用于指导抗血管内皮生长因子治疗和预测治疗反应。翻译相关性：MNV生物标志物的分析可能在视觉功能方面具有预后价值。

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

Translational Vision Science & Technology Engineering-Biomedical Engineering

CiteScore

5.70

自引率

3.30%

发文量

346

审稿时长

25 weeks

期刊介绍： Translational Vision Science & Technology (TVST), an official journal of the Association for Research in Vision and Ophthalmology (ARVO), an international organization whose purpose is to advance research worldwide into understanding the visual system and preventing, treating and curing its disorders, is an online, open access, peer-reviewed journal emphasizing multidisciplinary research that bridges the gap between basic research and clinical care. A highly qualified and diverse group of Associate Editors and Editorial Board Members is led by Editor-in-Chief Marco Zarbin, MD, PhD, FARVO. The journal covers a broad spectrum of work, including but not limited to: Applications of stem cell technology for regenerative medicine, Development of new animal models of human diseases, Tissue bioengineering, Chemical engineering to improve virus-based gene delivery, Nanotechnology for drug delivery, Design and synthesis of artificial extracellular matrices, Development of a true microsurgical operating environment, Refining data analysis algorithms to improve in vivo imaging technology, Results of Phase 1 clinical trials, Reverse translational ("bedside to bench") research. TVST seeks manuscripts from scientists and clinicians with diverse backgrounds ranging from basic chemistry to ophthalmic surgery that will advance or change the way we understand and/or treat vision-threatening diseases. TVST encourages the use of color, multimedia, hyperlinks, program code and other digital enhancements.