Imaging of Corneal Neovascularization: Optical Coherence Tomography Angiography and Fluorescence Angiography
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). Patients with CoNV extending at least 3 mm into the cornea were included. All patients underwent corneal imaging...
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| Published in: | Investigative ophthalmology & visual science Vol. 59; no. 3; p. 1263 |
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| Main Authors: | , , , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
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United States
01.03.2018
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| ISSN: | 1552-5783, 1552-5783 |
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| Abstract | 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).
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.
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).
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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| AbstractList | 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).PurposeThe purpose of this study was to compare optical coherence tomography angiography (OCTA) and indocyanine green angiography (ICGA) for the assessment of corneal neovascularization (CoNV).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.MethodsPatients 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.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).ResultsFifteen 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).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.ConclusionCompared 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. 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). 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. 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). 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. |
| Author | Vinciguerra, Riccardo Williams, Bryan Brunner, Matthias Czanner, Gabriela Hicks, Nicholas Steger, Bernhard Willoughby, Colin E. Romano, Vito Lawman, Samuel Zheng, Yalin Kaye, Stephen B. |
| Author_xml | – sequence: 1 givenname: Matthias surname: Brunner fullname: Brunner, Matthias organization: Department of Corneal and External Eye Diseases, St. Paul's Eye Unit, Royal Liverpool University Hospital, Liverpool, United Kingdom, Department of Eye and Vision Science, Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, United Kingdom – sequence: 2 givenname: Vito surname: Romano fullname: Romano, Vito organization: Department of Corneal and External Eye Diseases, St. Paul's Eye Unit, Royal Liverpool University Hospital, Liverpool, United Kingdom, Department of Eye and Vision Science, Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, United Kingdom – sequence: 3 givenname: Bernhard surname: Steger fullname: Steger, Bernhard organization: Department of Ophthalmology, Medical University of Innsbruck, Innsbruck, Austria – sequence: 4 givenname: Riccardo surname: Vinciguerra fullname: Vinciguerra, Riccardo organization: Department of Corneal and External Eye Diseases, St. Paul's Eye Unit, Royal Liverpool University Hospital, Liverpool, United Kingdom, Department of Eye and Vision Science, Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, United Kingdom – sequence: 5 givenname: Samuel surname: Lawman fullname: Lawman, Samuel organization: Department of Eye and Vision Science, Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, United Kingdom – sequence: 6 givenname: Bryan surname: Williams fullname: Williams, Bryan organization: Department of Eye and Vision Science, Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, United Kingdom – sequence: 7 givenname: Nicholas surname: Hicks fullname: Hicks, Nicholas organization: Department of Corneal and External Eye Diseases, St. Paul's Eye Unit, Royal Liverpool University Hospital, Liverpool, United Kingdom – sequence: 8 givenname: Gabriela surname: Czanner fullname: Czanner, Gabriela organization: Department of Eye and Vision Science, Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, United Kingdom, Department of Biostatistics, Institute of Translational Medicine, University of Liverpool, United Kingdom – sequence: 9 givenname: Yalin surname: Zheng fullname: Zheng, Yalin organization: Department of Eye and Vision Science, Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, United Kingdom – sequence: 10 givenname: Colin E. surname: Willoughby fullname: Willoughby, Colin E. organization: Department of Corneal and External Eye Diseases, St. Paul's Eye Unit, Royal Liverpool University Hospital, Liverpool, United Kingdom, Department of Eye and Vision Science, Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, United Kingdom – sequence: 11 givenname: Stephen B. surname: Kaye fullname: Kaye, Stephen B. organization: Department of Corneal and External Eye Diseases, St. Paul's Eye Unit, Royal Liverpool University Hospital, Liverpool, United Kingdom, Department of Eye and Vision Science, Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, United Kingdom |
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| SubjectTerms | Adult Aged Coloring Agents - administration & dosage Cornea - blood supply Cornea - pathology Corneal Neovascularization - diagnostic imaging Female Fluorescein Angiography - methods Humans Indocyanine Green - administration & dosage Male Middle Aged Optical Imaging - methods Tomography, Optical Coherence - methods |
| Title | Imaging of Corneal Neovascularization: Optical Coherence Tomography Angiography and Fluorescence Angiography |
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