Literature DB >> 31226248

Differentiating Veins From Arteries on Optical Coherence Tomography Angiography by Identifying Deep Capillary Plexus Vortices.

Xiaoyu Xu1, Nicolas A Yannuzzi2, Pedro Fernández-Avellaneda3, Jose J Echegaray2, Kimberly D Tran2, Jonathan F Russell2, Nimesh A Patel2, Rehan M Hussain2, David Sarraf4, K Bailey Freund5.   

Abstract

PURPOSE: To introduce a simple method for differentiating retinal veins from arteries on optical coherence tomography angiography (OCTA).
DESIGN: Cross-sectional pilot study.
METHODS: Four default en face slabs including color depth encoded, grayscale full-thickness retina, superficial plexus, and deep capillary plexus (DCP) from nine 3×3-mm and nine 6×6-mm OCTA scans were exported and aligned. Nine ophthalmologists with minimum OCTA experience from 2 eye institutions were instructed to classify labeled vessels as arteries or veins in 3 stages. Classification was performed based on graders' own assessment at stage 1. Graders were taught that a capillary-free zone was an anatomic feature of arteries at stage 2 and were trained to identify veins originating from vortices within the DCP at stage 3. Grading accuracy was analyzed and correlated with grading time and graders' years in practice.
RESULTS: Overall grading accuracy in stages 1, 2, and 3 was (50.4% ± 17.0%), (75.4% ± 6.0%), and (94.7% ± 2.6%), respectively. Grading accuracy for 3×3-mm scans in stages 1, 2, and 3 was (49.9% ± 16.3%), (79.2% ± 9.6%), and (96.9% ± 3.1%), respectively. Accuracy for 6×6-mm scans in stages 1, 2, and 3 was (51.4% ± 20.8%), (72.3% ± 7.9%), and (93.2% ± 3.3%), respectively. Grading performance improved significantly at each stage (all P < .001). No significant correlation was found between accuracy and time spent grading or between accuracy and years in practice (r = -0.164 to 0.617, all P ≥ .077).
CONCLUSIONS: We describe a simple method for accurately distinguishing retinal arteries from veins on OCTA, which incorporates the use of vortices in the DCP to identify venous origin.
Copyright © 2019 Elsevier Inc. All rights reserved.

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Mesh:

Year:  2019        PMID: 31226248     DOI: 10.1016/j.ajo.2019.06.009

Source DB:  PubMed          Journal:  Am J Ophthalmol        ISSN: 0002-9394            Impact factor:   5.258


  8 in total

1.  Vascular morphology and blood flow signatures for differential artery-vein analysis in optical coherence tomography of the retina.

Authors:  Tae-Hoon Kim; David Le; Taeyoon Son; Xincheng Yao
Journal:  Biomed Opt Express       Date:  2020-12-15       Impact factor: 3.732

Review 2.  In depth understanding of retinitis pigmentosa pathogenesis through optical coherence tomography angiography analysis: a narrative review.

Authors:  Bing-Wen Lu; Guo-Jun Chao; Gai-Ping Wu; Li-Ke Xie
Journal:  Int J Ophthalmol       Date:  2021-12-18       Impact factor: 1.779

3.  Depth-resolved vascular profile features for artery-vein classification in OCT and OCT angiography of human retina.

Authors:  Tobiloba Adejumo; Tae-Hoon Kim; David Le; Taeyoon Son; Guangying Ma; Xincheng Yao
Journal:  Biomed Opt Express       Date:  2022-02-01       Impact factor: 3.732

4.  MF-AV-Net: an open-source deep learning network with multimodal fusion options for artery-vein segmentation in OCT angiography.

Authors:  Mansour Abtahi; David Le; Jennifer I Lim; Xincheng Yao
Journal:  Biomed Opt Express       Date:  2022-08-22       Impact factor: 3.562

5.  Correlation of Optical Coherence Tomography Angiography of Type 3 Macular Neovascularization With Corresponding Histology.

Authors:  Andreas Berlin; Diogo Cabral; Ling Chen; Jeffrey D Messinger; Chandrakumar Balaratnasingam; Randev Mendis; Daniela Ferrara; K Bailey Freund; Christine A Curcio
Journal:  JAMA Ophthalmol       Date:  2022-06-01       Impact factor: 8.253

6.  Volume Rendering of Dense B-Scan Optical Coherence Tomography Angiography to Evaluate the Connectivity of Macular Blood Flow.

Authors:  Diogo Cabral; Telmo Pereira; Gerardo Ledesma-Gil; Catarina Rodrigues; Florence Coscas; David Sarraf; K Bailey Freund
Journal:  Invest Ophthalmol Vis Sci       Date:  2020-06-03       Impact factor: 4.799

7.  Peripapillary and Macular Flow Changes in Nonarteritic Anterior Ischemic Optic Neuropathy (NAION) by Optical Coherence Tomography Angiography (OCT-A).

Authors:  Juejun Liu; Changzheng Chen; Lu Li; Zuohuizi Yi; Hongmei Zheng
Journal:  J Ophthalmol       Date:  2020-11-02       Impact factor: 1.909

8.  Perivenular Capillary Loss: An Early, Quantifiable Change in Macular Telangiectasia Type 2.

Authors:  Paul S Micevych; Brian T Soetikno; Amani A Fawzi
Journal:  Transl Vis Sci Technol       Date:  2020-03-09       Impact factor: 3.283

  8 in total

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