Inês Laíns1, Jay Wang2, Joana Providência3, Steven Mach2, Pedro Gil4, João Gil4, Marco Marques3, Grayson Armstrong2, Shady Garas2, Patrícia Barreto5, Ivana K Kim2, Demetrios G Vavvas2, Joan W Miller2, Deeba Husain2, Rufino Silva4, John B Miller6. 1. Retina Service, Massachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts; Faculty of Medicine, University of Coimbra, Coimbra, Portugal; Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal; Association for Innovation and Biomedical Research on Light, Coimbra, Portugal. 2. Retina Service, Massachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts. 3. Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal; Association for Innovation and Biomedical Research on Light, Coimbra, Portugal. 4. Faculty of Medicine, University of Coimbra, Coimbra, Portugal; Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal; Association for Innovation and Biomedical Research on Light, Coimbra, Portugal. 5. Association for Innovation and Biomedical Research on Light, Coimbra, Portugal. 6. Retina Service, Massachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts. Electronic address: john_miller@meei.harvard.edu.
Abstract
PURPOSE: To compare choroidal vascular features of eyes with and without subretinal drusenoid deposits (SDD), using swept-source optical coherence tomography (SS OCT). DESIGN: Multicenter, cross-sectional study. METHODS: We prospectively recruited patients with intermediate age-related macular degeneration (AMD), without other vitreoretinal pathology. All participants underwent complete ophthalmic examination, color fundus photography (used for AMD staging), and spectral-domain OCT (to evaluate the presence of SDD). SS OCT was used to obtain automatic macular choroidal thickness (CT) maps, according to the Early Treatment Diabetic Retinopathy Study (ETDRS) sectors. For data analysis, we considered mean choroidal thickness as the arithmetic mean value of the 9 ETDRS sectors. SS OCT en face images of choroidal vasculature were also captured and converted to binary images. Choroidal vascular density (CVD) was calculated as a percent area occupied by choroidal vessels in a 6-mm-diameter submacular circular. Choroidal vessel volume was calculated by multiplying the average CVD by macular area and CT. Multilevel mixed linear models (to account for the inclusion of 2 eyes of same subject) were performed for analysis. RESULTS: We included 186 eyes (n = 118 subjects), 94 (50.5%) presenting SDD. Multiple regression analysis revealed that, controlling for age, eyes with SDD presented a statistically thinner mean CT (ß = -21.9, P = .006) and CT in all the individual ETDRS fields (ß ≤ -18.79, P ≤ .026). Mean choroidal vessel volume was also significantly reduced in eyes with SDD (ß = -0.003, P = .007). No significant associations were observed with mean CVD. CONCLUSION: In subjects with intermediate AMD, choroidal thickness and vessel volume are reduced in the presence of subretinal drusenoid deposits.
PURPOSE: To compare choroidal vascular features of eyes with and without subretinal drusenoid deposits (SDD), using swept-source optical coherence tomography (SS OCT). DESIGN: Multicenter, cross-sectional study. METHODS: We prospectively recruited patients with intermediate age-related macular degeneration (AMD), without other vitreoretinal pathology. All participants underwent complete ophthalmic examination, color fundus photography (used for AMD staging), and spectral-domain OCT (to evaluate the presence of SDD). SS OCT was used to obtain automatic macular choroidal thickness (CT) maps, according to the Early Treatment Diabetic Retinopathy Study (ETDRS) sectors. For data analysis, we considered mean choroidal thickness as the arithmetic mean value of the 9 ETDRS sectors. SS OCT en face images of choroidal vasculature were also captured and converted to binary images. Choroidal vascular density (CVD) was calculated as a percent area occupied by choroidal vessels in a 6-mm-diameter submacular circular. Choroidal vessel volume was calculated by multiplying the average CVD by macular area and CT. Multilevel mixed linear models (to account for the inclusion of 2 eyes of same subject) were performed for analysis. RESULTS: We included 186 eyes (n = 118 subjects), 94 (50.5%) presenting SDD. Multiple regression analysis revealed that, controlling for age, eyes with SDD presented a statistically thinner mean CT (ß = -21.9, P = .006) and CT in all the individual ETDRS fields (ß ≤ -18.79, P ≤ .026). Mean choroidal vessel volume was also significantly reduced in eyes with SDD (ß = -0.003, P = .007). No significant associations were observed with mean CVD. CONCLUSION: In subjects with intermediate AMD, choroidal thickness and vessel volume are reduced in the presence of subretinal drusenoid deposits.
Authors: Jia Qin; Nicholas Rinella; Qinqin Zhang; Hao Zhou; Jessica Wong; Michael Deiner; Austin Roorda; Travis C Porco; Ruikang K Wang; Daniel M Schwartz; Jacque L Duncan Journal: Invest Ophthalmol Vis Sci Date: 2018-12-03 Impact factor: 4.799
Authors: Kevin J McHugh; Dian Li; Jay C Wang; Leon Kwark; Jessica Loo; Venkata Macha; Sina Farsiu; Leo A Kim; Magali Saint-Geniez Journal: PLoS One Date: 2019-06-11 Impact factor: 3.240
Authors: Tiarnan D Keenan; Brandon Klein; Elvira Agrón; Emily Y Chew; Catherine A Cukras; Wai T Wong Journal: Retina Date: 2020-04 Impact factor: 3.975
Authors: Jay C Wang; Inês Laíns; Rebecca F Silverman; Lucia Sobrin; Demetrios G Vavvas; Joan W Miller; John B Miller Journal: Transl Vis Sci Technol Date: 2018-12-20 Impact factor: 3.283