Correlation of vascular and fluid-related parameters in neovascular age-related macular degeneration using deep learning

被引:7
|
作者
Schranz, Markus [1 ,2 ]
Told, Reinhard [2 ]
Hacker, Valentin [1 ]
Reiter, Gregor S. [2 ,3 ]
Reumueller, Adrian [2 ]
Vogl, Wolf-Dieter [3 ]
Bogunovic, Hrvoje [3 ]
Sacu, Stefan [1 ,2 ]
Schmidt-Erfurth, Ursula [1 ,2 ,3 ]
Roberts, Philipp K. [2 ]
机构
[1] Med Univ Vienna, Vienna Clin Trial Ctr VTC, Dept Ophthalmol & Optometry, Vienna, Austria
[2] Med Univ Vienna, Dept Ophthalmol & Optometry, Wahringer Gurtel 18-20, A-1090 Vienna, Austria
[3] Med Univ Vienna, Dept Ophthalmol & Optometry, Christian Doppler Lab, OPTIMA, Vienna, Austria
基金
奥地利科学基金会;
关键词
COHERENCE TOMOGRAPHY ANGIOGRAPHY; CHOROIDAL NEOVASCULARIZATION; QUANTIFICATION; PROJECTION; THERAPY; VOLUMES; RETINA;
D O I
10.1111/aos.15219
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
Purpose To identify correlations between the vascular characteristics of macular neovascularization (MNV) obtained by optical coherence tomography angiography (OCTA) and distinct retinal fluid volumes in neovascular age-related macular degeneration (nAMD). Methods In this prospective interventional study, 54 patients with treatment-naive type 1 or 2 nAMD were included and treated with intravitreal aflibercept. At baseline and month 1, each patient underwent a SD-OCT volume scan and volumetric flow scan using a swept-source OCTA. A deep learning algorithm was used to automatically detect and quantify fluid in OCT scans. Angio Tool, a National Cancer Institute algorithm, was used to skeletonize MNV properties and quantify lesion size (LS), vessel area (VA), vessel density (VD), total number of endpoints (TNE), total number of junctions (TNJ), junction density (JD), total vessel length (TVL), average vessel length (AVL) and mean-e-lacunarity (MEL). Subsequently, linear regression models were used to investigate a correlation between OCTA parameters and fluid quantifications. Results The median amount of fluid within the central 6-mm EDTRS ring was 173.7 nl at baseline, consisting of 156.6 nl of subretinal fluid (SRF) and 2.3 nl of intraretinal fluid (IRF). Fluid decreased significantly in all compartments to 1.76 nl (SRF) and 0.64 nl (IRF). The investigated MNV parameters did not change significantly after the first treatment. There was no significant correlation between MNV parameters and relative fluid decrease after anti-VEGF treatment. Baseline fluid correlated statistically significant but weakly with TNE (p = 0.002, R-2 = 0.17), SRF with TVL (p = 0.04, R-2 = 0.08), VD (p = 0.046, R-2 = 0.08), TNE (p = 0.001, R-2 = 0.20) and LS (p = 0.033, R-2 = 0.09). IRF correlated with VA (p = 0.042, R-2 = 0.08).The amount of IRF at month 1 correlated significantly but weakly with VD (p = 0.036, R-2 = 0.08), JD (p = 0.019, R-2 = 0.10) and MEL (p = 0.005, R-2 = 0.14). Conclusion Macular neovascularization parameters at baseline and month 1 played only a minor role in the exudation process in nAMD. None of the MNV parameters were correlated with the treatment response.
引用
收藏
页码:E95 / E105
页数:11
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