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
相关论文
共 50 条
  • [31] Detecting conversion to exudative neovascular age-related macular degeneration using machine learning
    Zweifel, Sandrine
    Wiest, Maximilian
    Mislevics, Anton
    Peremot, Daryna
    Bondarenko, Andrey
    Fasler, Katrin
    Hamann, Timothy
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2021, 62 (08)
  • [32] Preliminary analysis of predicting the first recurrence in patients with neovascular age-related macular degeneration using deep learning
    Jang, Boa
    Lee, Sang-Yoon
    Kim, Chaea
    Park, Un Chul
    Kim, Young-Gon
    Lee, Eun Kyoung
    BMC OPHTHALMOLOGY, 2023, 23 (01)
  • [33] Sociodemographic Factors in Neovascular Age-Related Macular Degeneration
    Patel, Samir N.
    Wu, Connie
    Obeid, Anthony
    Sivalingam, Meera
    Gervasio, Kalla
    Wibbelsman, Turner D.
    Levin, Hannah
    Xu, David
    Regillo, Carl D.
    Hsu, Jason
    Ho, Allen C.
    OPHTHALMOLOGY, 2020, 127 (02) : 280 - 282
  • [34] Radiation therapy for neovascular age-related macular degeneration
    Petrarca, Robert
    Jackson, Timothy L.
    CLINICAL OPHTHALMOLOGY, 2011, 5 : 57 - 63
  • [35] Gene Therapies for Neovascular Age-Related Macular Degeneration
    Pechan, Peter
    Wadsworth, Samuel
    Scaria, Abraham
    COLD SPRING HARBOR PERSPECTIVES IN MEDICINE, 2015, 5 (07):
  • [36] Preliminary analysis of predicting the first recurrence in patients with neovascular age-related macular degeneration using deep learning
    Boa Jang
    Sang-Yoon Lee
    Chaea Kim
    Un Chul Park
    Young-Gon Kim
    Eun Kyoung Lee
    BMC Ophthalmology, 23
  • [37] Innovative therapies for neovascular age-related macular degeneration
    Al-Khersan, Hasenin
    Hussain, Rehan M.
    Ciulla, Thomas A.
    Dugel, Pravin U.
    EXPERT OPINION ON PHARMACOTHERAPY, 2019, 20 (15) : 1879 - 1891
  • [38] SUBFOVEAL NEOVASCULAR LESIONS IN AGE-RELATED MACULAR DEGENERATION
    BLOOM, SM
    ARCHIVES OF OPHTHALMOLOGY, 1993, 111 (07) : 900 - 901
  • [39] Vitreomacular Adhesion and Neovascular Age-Related Macular Degeneration
    Simpson, Andrew R. H.
    Petrarca, Robert
    Jackson, Timothy L.
    SURVEY OF OPHTHALMOLOGY, 2012, 57 (06) : 498 - 509
  • [40] Preferred therapies for neovascular age-related macular degeneration
    Chiang, Allen
    Regillo, Carl D.
    CURRENT OPINION IN OPHTHALMOLOGY, 2011, 22 (03) : 199 - 204