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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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.