Literature DB >> 29625447

Imaging of Corneal Neovascularization: Optical Coherence Tomography Angiography and Fluorescence Angiography.

Matthias Brunner1,2, Vito Romano1,2, Bernhard Steger3, Riccardo Vinciguerra1,2, Samuel Lawman2, Bryan Williams2, Nicholas Hicks1, Gabriela Czanner2,4, Yalin Zheng2, Colin E Willoughby1,2, Stephen B Kaye1,2.   

Abstract

Purpose: The purpose of this study was to compare optical coherence tomography angiography (OCTA) and indocyanine green angiography (ICGA) for the assessment of corneal neovascularization (CoNV).
Methods: Patients with CoNV extending at least 3 mm into the cornea were included. All patients underwent corneal imaging at the same visit. Images were recorded using the AngioVue OCTA system (Optovue, Inc.) with the long corneal adaptor module (CAM-L). ICGA images were recorded with fluorescent filters using the Heidelberg system (HRA2 Scanning Laser Ophthalmoscope; Heidelberg Engineering). Images were graded for quality by two independent observers. Vessel parameters: area, number, diameter, branch and end points, and tortuosity, were compared between devices. Bland-Altman plots were used to assess differences between parameters.
Results: Fifteen patients with CoNV predominantly associated with microbial keratitis were included. Mean subjective image quality score was better for ICGA (3.3 ± 0.9) than for OCTA (2.1 ± 1.2, P = 0.002), with almost perfect interobserver agreement for ICGA images (κ = 0.83) and substantial agreement for OCTA images (κ = 0.69). Agreement of grading of all investigated vessel parameters between ICGA and OCT images was slight to moderate, with significant differences found for vessel diameter (-8.98 μm, P = 0.01, 95% limits of agreement [LOA]: -15.89 to -2.07), number of branch (25.93, P = 0.09, 95% LOA: -4.31 to 56.17), and terminal points (49, P = 0.05, 95% LOA: 0.78 to 97.22).
Conclusion: Compared with ICGA, current OCTA systems are less precise in capturing small vessels in CoNV complexes, and validation studies are needed for OCTA segmentation software. OCTA, however, complements ICGA by providing evidence of red blood cell flow, which together with depth information, may be helpful when planning treatment of CoNV.

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Year:  2018        PMID: 29625447     DOI: 10.1167/iovs.17-22035

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  15 in total

1.  Optical coherence tomography angiography in the evaluation of vascular patterns of ocular surface squamous neoplasia during topical medical treatment.

Authors:  Despoina Theotoka; Zhiping Liu; Sarah Wall; Anat Galor; Ghada J Al Bayyat; William Feuer; Wang Jianhua; Carol L Karp
Journal:  Ocul Surf       Date:  2022-03-29       Impact factor: 6.268

2.  Persistent loss of marginal corneal arcades after chemical injury.

Authors:  Carlos Rocha de Lossada; Luca Pagano; Kunal A Gadhvi; Davide Borroni; Gustavo Figueiredo; Stephen Kaye; Vito Romano
Journal:  Indian J Ophthalmol       Date:  2020-11       Impact factor: 1.848

Review 3.  Quantitative optical coherence tomography angiography: A review.

Authors:  Xincheng Yao; Minhaj N Alam; David Le; Devrim Toslak
Journal:  Exp Biol Med (Maywood)       Date:  2020-01-20

4.  Multimodal Photoacoustic Imaging-Guided Regression of Corneal Neovascularization: A Non-Invasive and Safe Strategy.

Authors:  Chengchao Chu; Jingwen Yu; En Ren; Shangkun Ou; Yunming Zhang; Yiming Wu; Han Wu; Yang Zhang; Jing Zhu; Qixuan Dai; Xiaoyong Wang; Qingliang Zhao; Wei Li; Zuguo Liu; Xiaoyuan Chen; Gang Liu
Journal:  Adv Sci (Weinh)       Date:  2020-05-29       Impact factor: 16.806

5.  Functional Staging of Corneal Neovascularization Using Fluorescein and Indocyanine Green Angiography.

Authors:  Christoph Palme; Vito Romano; Matthias Brunner; Riccardo Vinciguerra; Stephen B Kaye; Bernhard Steger
Journal:  Transl Vis Sci Technol       Date:  2018-10-01       Impact factor: 3.283

6.  Vessel density and En-face segmentation of optical coherence tomography angiography to analyse corneal vascularisation in an animal model.

Authors:  Kavya Devarajan; Wen Di Lee; Hon Shing Ong; Nyein C Lwin; Jacqueline Chua; Leopold Schmetterer; Jodhbir S Mehta; Marcus Ang
Journal:  Eye Vis (Lond)       Date:  2019-01-08

7.  An artificial intelligence-based deep learning algorithm for the diagnosis of diabetic neuropathy using corneal confocal microscopy: a development and validation study.

Authors:  Bryan M Williams; Davide Borroni; Rongjun Liu; Yitian Zhao; Jiong Zhang; Jonathan Lim; Baikai Ma; Vito Romano; Hong Qi; Maryam Ferdousi; Ioannis N Petropoulos; Georgios Ponirakis; Stephen Kaye; Rayaz A Malik; Uazman Alam; Yalin Zheng
Journal:  Diabetologia       Date:  2019-11-12       Impact factor: 10.122

8.  Longitudinal Assessment of Alkali Injury on Mouse Cornea Using Anterior Segment Optical Coherence Tomography.

Authors:  Jonathan Luisi; Edward R Kraft; Steven A Giannos; Krishna Patel; Mary E Schmitz-Brown; Valentina Reffatto; Kevin H Merkley; Praveena K Gupta
Journal:  Transl Vis Sci Technol       Date:  2021-03-01       Impact factor: 3.283

Review 9.  A Review of Imaging Biomarkers of the Ocular Surface.

Authors:  William W Binotti; Betul Bayraktutar; M Cuneyt Ozmen; Stephanie M Cox; Pedram Hamrah
Journal:  Eye Contact Lens       Date:  2020-03       Impact factor: 3.152

Review 10.  Optical coherence tomography angiography in diabetic retinopathy: a review of current applications.

Authors:  Kai Yuan Tey; Kelvin Teo; Anna C S Tan; Kavya Devarajan; Bingyao Tan; Jacqueline Tan; Leopold Schmetterer; Marcus Ang
Journal:  Eye Vis (Lond)       Date:  2019-11-18
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