Quantifying Retinal Microvascular Changes in Uveitis Using Spectral-Domain Optical Coherence Tomography Angiography
To quantify retinal capillary density and morphology in uveitis using spectral-domain optical coherence tomography angiography (SD-OCTA). Cross-sectional, observational study. Healthy and uveitic subjects were recruited from 2 tertiary care eye centers. Prototype SD-OCTA devices (Cirrus; Carl Zeiss...
Saved in:
Published in | American journal of ophthalmology Vol. 171; pp. 101 - 112 |
---|---|
Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Inc
01.11.2016
Elsevier Limited |
Subjects | |
Online Access | Get full text |
ISSN | 0002-9394 1879-1891 1879-1891 |
DOI | 10.1016/j.ajo.2016.08.035 |
Cover
Abstract | To quantify retinal capillary density and morphology in uveitis using spectral-domain optical coherence tomography angiography (SD-OCTA).
Cross-sectional, observational study.
Healthy and uveitic subjects were recruited from 2 tertiary care eye centers. Prototype SD-OCTA devices (Cirrus; Carl Zeiss Meditec, Inc, Dublin, California, USA) were used to generate 3 × 3-mm2 OCTA images centered on the fovea. Subjects were placed into 3 groups based on the type of optical microangiography (OMAG) algorithm used for image processing (intensity and/or phase) and type of retinal segmentation (automatic or manual). A semi-automated method was used to calculate skeleton density (SD), vessel density (VD), fractal dimension (FD), and vessel diameter index (VDI). Retinal vasculature was assessed in the superficial retinal layer (SRL), deep retinal layer (DRL), and nonsegmented retinal layer (NS-RL). A generalized estimating equations model was used to analyze associations between the OCTA measures and disease status within each retinal layer. A P value < .05 was accepted as significant. Reproducibility and repeatability were assessed using the intraclass correlation coefficient (ICC).
The SD, VD, and FD of the parafoveal capillaries were lower in uveitic eyes compared with healthy eyes in all retinal segments. In addition, SD and VD were significantly lower in the DRL of subjects with uveitic macular edema. There was no correlation in any capillary parameters and anatomic classification of uveitis.
Quantitative analysis of parafoveal capillary density and morphology in uveitis demonstrates significantly lower capillary density and complexity. SD-OCTA algorithms are robust enough to detect these changes and can provide a novel diagnostic index of disease for uveitis subjects. |
---|---|
AbstractList | To quantify retinal capillary density and morphology in uveitis using spectral-domain optical coherence tomography angiography (SD-OCTA).
Cross-sectional, observational study.
Healthy and uveitic subjects were recruited from 2 tertiary care eye centers. Prototype SD-OCTA devices (Cirrus; Carl Zeiss Meditec, Inc, Dublin, California, USA) were used to generate 3 × 3-mm
OCTA images centered on the fovea. Subjects were placed into 3 groups based on the type of optical microangiography (OMAG) algorithm used for image processing (intensity and/or phase) and type of retinal segmentation (automatic or manual). A semi-automated method was used to calculate skeleton density (SD), vessel density (VD), fractal dimension (FD), and vessel diameter index (VDI). Retinal vasculature was assessed in the superficial retinal layer (SRL), deep retinal layer (DRL), and nonsegmented retinal layer (NS-RL). A generalized estimating equations model was used to analyze associations between the OCTA measures and disease status within each retinal layer. A P value < .05 was accepted as significant. Reproducibility and repeatability were assessed using the intraclass correlation coefficient (ICC).
The SD, VD, and FD of the parafoveal capillaries were lower in uveitic eyes compared with healthy eyes in all retinal segments. In addition, SD and VD were significantly lower in the DRL of subjects with uveitic macular edema. There was no correlation in any capillary parameters and anatomic classification of uveitis.
Quantitative analysis of parafoveal capillary density and morphology in uveitis demonstrates significantly lower capillary density and complexity. SD-OCTA algorithms are robust enough to detect these changes and can provide a novel diagnostic index of disease for uveitis subjects. To quantify retinal capillary density and morphology in uveitis using spectral-domain optical coherence tomography angiography (SD-OCTA). Cross-sectional, observational study. Healthy and uveitic subjects were recruited from 2 tertiary care eye centers. Prototype SD-OCTA devices (Cirrus; Carl Zeiss Meditec, Inc, Dublin, California, USA) were used to generate 3 × 3-mm2 OCTA images centered on the fovea. Subjects were placed into 3 groups based on the type of optical microangiography (OMAG) algorithm used for image processing (intensity and/or phase) and type of retinal segmentation (automatic or manual). A semi-automated method was used to calculate skeleton density (SD), vessel density (VD), fractal dimension (FD), and vessel diameter index (VDI). Retinal vasculature was assessed in the superficial retinal layer (SRL), deep retinal layer (DRL), and nonsegmented retinal layer (NS-RL). A generalized estimating equations model was used to analyze associations between the OCTA measures and disease status within each retinal layer. A P value < .05 was accepted as significant. Reproducibility and repeatability were assessed using the intraclass correlation coefficient (ICC). The SD, VD, and FD of the parafoveal capillaries were lower in uveitic eyes compared with healthy eyes in all retinal segments. In addition, SD and VD were significantly lower in the DRL of subjects with uveitic macular edema. There was no correlation in any capillary parameters and anatomic classification of uveitis. Quantitative analysis of parafoveal capillary density and morphology in uveitis demonstrates significantly lower capillary density and complexity. SD-OCTA algorithms are robust enough to detect these changes and can provide a novel diagnostic index of disease for uveitis subjects. Abstract Purpose To quantify retinal capillary density and morphology in uveitis using SD-OCTA. Design Cross-sectional, observational study Methods Healthy and uveitic subjects were recruited from two tertiary care eye centers. Prototype SD-OCTA devices (Cirrus, Carl Zeiss Meditec, Inc., Dublin, CA) were used to generate 3x3 mm2 OCTA images centered on the fovea. Subjects were placed into 3 groups based on the type of optical microangiography (OMAG) algorithm used for image processing (intensity- and/or phase) and type of retinal segmentation (automatic or manual). A semi-automated method was used to calculate skeleton density (SD), vessel density (VD), fractal dimension (FD), and vessel diameter index (VDI). Retinal vasculature was assessed in the superficial retinal layer (SRL), deep retinal layer (DRL), and non-segmented retinal layer (NS-RL). A generalized estimating equations model was used to analyze associations between the OCTA measures and disease status within each retinal layer. A P value < 0.05 was accepted as significant. Reproducibility and repeatability were assessed using the Intraclass Correlation Coefficient (ICC). Results The SD, VD, and FD of the parafoveal capillaries were lower in uveitic eyes compared to healthy eyes in all retinal segments. In addition, SD and VD were significantly lower in the DRL of subjects with uveitic macular edema. There was no correlation in any capillary parameters and anatomic classification of uveitis. Conclusions Quantitative analysis of parafoveal capillary density and morphology in uveitis demonstrates significantly lower capillary density and complexity. SD-OCTA algorithms are robust enough to detect these changes and can provide a novel diagnostic index of disease for uveitis subjects. Purpose To quantify retinal capillary density and morphology in uveitis using spectral-domain optical coherence tomography angiography (SD-OCTA). Design Cross-sectional, observational study. Methods Healthy and uveitic subjects were recruited from 2 tertiary care eye centers. Prototype SD-OCTA devices (Cirrus; Carl Zeiss Meditec, Inc, Dublin, California, USA) were used to generate 3 x 3-mm2OCTA images centered on the fovea. Subjects were placed into 3 groups based on the type of optical microangiography (OMAG) algorithm used for image processing (intensity and/or phase) and type of retinal segmentation (automatic or manual). A semi-automated method was used to calculate skeleton density (SD), vessel density (VD), fractal dimension (FD), and vessel diameter index (VDI). Retinal vasculature was assessed in the superficial retinal layer (SRL), deep retinal layer (DRL), and nonsegmented retinal layer (NS-RL). A generalized estimating equations model was used to analyze associations between the OCTA measures and disease status within each retinal layer. APvalue < .05 was accepted as significant. Reproducibility and repeatability were assessed using the intraclass correlation coefficient (ICC). Results The SD, VD, and FD of the parafoveal capillaries were lower in uveitic eyes compared with healthy eyes in all retinal segments. In addition, SD and VD were significantly lower in the DRL of subjects with uveitic macular edema. There was no correlation in any capillary parameters and anatomic classification of uveitis. Conclusions Quantitative analysis of parafoveal capillary density and morphology in uveitis demonstrates significantly lower capillary density and complexity. SD-OCTA algorithms are robust enough to detect these changes and can provide a novel diagnostic index of disease for uveitis subjects. To quantify retinal capillary density and morphology in uveitis using spectral-domain optical coherence tomography angiography (SD-OCTA).PURPOSETo quantify retinal capillary density and morphology in uveitis using spectral-domain optical coherence tomography angiography (SD-OCTA).Cross-sectional, observational study.DESIGNCross-sectional, observational study.Healthy and uveitic subjects were recruited from 2 tertiary care eye centers. Prototype SD-OCTA devices (Cirrus; Carl Zeiss Meditec, Inc, Dublin, California, USA) were used to generate 3 × 3-mm2 OCTA images centered on the fovea. Subjects were placed into 3 groups based on the type of optical microangiography (OMAG) algorithm used for image processing (intensity and/or phase) and type of retinal segmentation (automatic or manual). A semi-automated method was used to calculate skeleton density (SD), vessel density (VD), fractal dimension (FD), and vessel diameter index (VDI). Retinal vasculature was assessed in the superficial retinal layer (SRL), deep retinal layer (DRL), and nonsegmented retinal layer (NS-RL). A generalized estimating equations model was used to analyze associations between the OCTA measures and disease status within each retinal layer. A P value < .05 was accepted as significant. Reproducibility and repeatability were assessed using the intraclass correlation coefficient (ICC).METHODSHealthy and uveitic subjects were recruited from 2 tertiary care eye centers. Prototype SD-OCTA devices (Cirrus; Carl Zeiss Meditec, Inc, Dublin, California, USA) were used to generate 3 × 3-mm2 OCTA images centered on the fovea. Subjects were placed into 3 groups based on the type of optical microangiography (OMAG) algorithm used for image processing (intensity and/or phase) and type of retinal segmentation (automatic or manual). A semi-automated method was used to calculate skeleton density (SD), vessel density (VD), fractal dimension (FD), and vessel diameter index (VDI). Retinal vasculature was assessed in the superficial retinal layer (SRL), deep retinal layer (DRL), and nonsegmented retinal layer (NS-RL). A generalized estimating equations model was used to analyze associations between the OCTA measures and disease status within each retinal layer. A P value < .05 was accepted as significant. Reproducibility and repeatability were assessed using the intraclass correlation coefficient (ICC).The SD, VD, and FD of the parafoveal capillaries were lower in uveitic eyes compared with healthy eyes in all retinal segments. In addition, SD and VD were significantly lower in the DRL of subjects with uveitic macular edema. There was no correlation in any capillary parameters and anatomic classification of uveitis.RESULTSThe SD, VD, and FD of the parafoveal capillaries were lower in uveitic eyes compared with healthy eyes in all retinal segments. In addition, SD and VD were significantly lower in the DRL of subjects with uveitic macular edema. There was no correlation in any capillary parameters and anatomic classification of uveitis.Quantitative analysis of parafoveal capillary density and morphology in uveitis demonstrates significantly lower capillary density and complexity. SD-OCTA algorithms are robust enough to detect these changes and can provide a novel diagnostic index of disease for uveitis subjects.CONCLUSIONSQuantitative analysis of parafoveal capillary density and morphology in uveitis demonstrates significantly lower capillary density and complexity. SD-OCTA algorithms are robust enough to detect these changes and can provide a novel diagnostic index of disease for uveitis subjects. |
Author | Kim, Alice Y. Rodger, Damien C. Jiang, Xuejuan Shahidzadeh, Anoush Puliafito, Carmen A. Chu, Zhongdi Pepple, Kathryn L. Kashani, Amir H. Burkemper, Bruce Koulisis, Nicole Rao, Narsing A. Wang, Ruikang K. |
AuthorAffiliation | 1 Department of Ophthalmology, USC Roski Eye Institute, Keck School of Medicine of the University of Southern California, 1450 San Pablo St., Suite 4700, Los Angeles, CA 90033, United States 3 Department of Ophthalmology, University of Washington, Box 359608, 325 9th Ave. Seattle, WA 98104, United States 2 Departments of Bioengineering and Ophthalmology, University of Washington, Box 355061, 3720 15th Ave. NE, Seattle, WA 98195-5061, United States |
AuthorAffiliation_xml | – name: 1 Department of Ophthalmology, USC Roski Eye Institute, Keck School of Medicine of the University of Southern California, 1450 San Pablo St., Suite 4700, Los Angeles, CA 90033, United States – name: 2 Departments of Bioengineering and Ophthalmology, University of Washington, Box 355061, 3720 15th Ave. NE, Seattle, WA 98195-5061, United States – name: 3 Department of Ophthalmology, University of Washington, Box 359608, 325 9th Ave. Seattle, WA 98104, United States |
Author_xml | – sequence: 1 givenname: Alice Y. surname: Kim fullname: Kim, Alice Y. organization: Department of Ophthalmology, USC Roski Eye Institute, Keck School of Medicine of the University of Southern California, Los Angeles, California – sequence: 2 givenname: Damien C. surname: Rodger fullname: Rodger, Damien C. organization: Department of Ophthalmology, USC Roski Eye Institute, Keck School of Medicine of the University of Southern California, Los Angeles, California – sequence: 3 givenname: Anoush orcidid: 0000-0003-2269-9257 surname: Shahidzadeh fullname: Shahidzadeh, Anoush organization: Department of Ophthalmology, USC Roski Eye Institute, Keck School of Medicine of the University of Southern California, Los Angeles, California – sequence: 4 givenname: Zhongdi orcidid: 0000-0001-7430-5032 surname: Chu fullname: Chu, Zhongdi organization: Department of Bioengineering, University of Washington, Seattle, Washington – sequence: 5 givenname: Nicole surname: Koulisis fullname: Koulisis, Nicole organization: Department of Ophthalmology, USC Roski Eye Institute, Keck School of Medicine of the University of Southern California, Los Angeles, California – sequence: 6 givenname: Bruce orcidid: 0000-0003-3689-7481 surname: Burkemper fullname: Burkemper, Bruce organization: Department of Ophthalmology, USC Roski Eye Institute, Keck School of Medicine of the University of Southern California, Los Angeles, California – sequence: 7 givenname: Xuejuan orcidid: 0000-0002-5637-666X surname: Jiang fullname: Jiang, Xuejuan organization: Department of Ophthalmology, USC Roski Eye Institute, Keck School of Medicine of the University of Southern California, Los Angeles, California – sequence: 8 givenname: Kathryn L. surname: Pepple fullname: Pepple, Kathryn L. organization: Department of Ophthalmology, University of Washington, Seattle, Washington – sequence: 9 givenname: Ruikang K. surname: Wang fullname: Wang, Ruikang K. organization: Department of Bioengineering, University of Washington, Seattle, Washington – sequence: 10 givenname: Carmen A. surname: Puliafito fullname: Puliafito, Carmen A. organization: Department of Ophthalmology, USC Roski Eye Institute, Keck School of Medicine of the University of Southern California, Los Angeles, California – sequence: 11 givenname: Narsing A. surname: Rao fullname: Rao, Narsing A. organization: Department of Ophthalmology, USC Roski Eye Institute, Keck School of Medicine of the University of Southern California, Los Angeles, California – sequence: 12 givenname: Amir H. surname: Kashani fullname: Kashani, Amir H. email: ahkashan@usc.edu organization: Department of Ophthalmology, USC Roski Eye Institute, Keck School of Medicine of the University of Southern California, Los Angeles, California |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/27594138$$D View this record in MEDLINE/PubMed |
BookMark | eNqFklFv0zAUhS00xLrBD-AFReKFlwQ7dmJbSJOmwgBpaIKtEm-W69y0Lqld7KRS__0ctQyoxJAf4sjnHN_r756hE-cdIPSS4IJgUr9dFXrlizJtCywKTKsnaEIElzkRkpygCca4zCWV7BSdxbhKvzVn_Bk6LXklGaFiguLXQbvetjvrFtk36K3TXfbFmuC3Opqh0yGbLrVbQMysy2ZbsL2N2SyO8tsNmD7oLn_v1zqd3mx6a5J96pcQwBnI7vzaL4LeLHfZpVvYw_45etrqLsKLw_ccza4-3E0_5dc3Hz9PL69zU1e4z0VlJJEVp2mVpJW8bKgwdN7MASpZN6mDlnPcmjkIBmJOK8yoES3WRotK1_QcXexzN8N8DY0BN1arNsGuddgpr636-8TZpVr4raoISRfIFPDmEBD8zwFir9Y2Gug67cAPURHBCJeU41H6-ki68kNIj3lQ1YwxmlSv_qzooZRfPJKA7AUJQIwB2gcJwWpkrlYqMVcjc4WFSsyThx95jO11b_3YlO0edb7bOyFR2FoIKho7gmtsSGhV4-2j7osjt-msGyfgB-wg_u5fxVJhdTtO4ziMpKaYlex7CpD_DvjP5fc7N_Aa |
CODEN | AJOPAA |
CitedBy_id | crossref_primary_10_1080_17434440_2021_1902301 crossref_primary_10_1167_tvst_8_3_57 crossref_primary_10_1016_j_ajo_2020_05_027 crossref_primary_10_1186_s12348_019_0190_y crossref_primary_10_3390_diagnostics14030336 crossref_primary_10_1016_j_preteyeres_2017_07_002 crossref_primary_10_1111_ene_15378 crossref_primary_10_1364_OSAC_402623 crossref_primary_10_21516_2072_0076_2020_13_4_91_98 crossref_primary_10_1080_09273948_2019_1612452 crossref_primary_10_3390_healthcare12161589 crossref_primary_10_1007_s10792_024_03114_9 crossref_primary_10_1080_09273948_2022_2084421 crossref_primary_10_1097_APO_0000000000000354 crossref_primary_10_1016_j_jcjo_2019_06_005 crossref_primary_10_1007_s10384_024_01080_4 crossref_primary_10_3928_23258160_20231107_01 crossref_primary_10_1111_ceo_13470 crossref_primary_10_1016_j_ajo_2019_07_003 crossref_primary_10_1007_s10792_022_02299_1 crossref_primary_10_1038_s41598_022_08781_1 crossref_primary_10_1007_s10792_022_02327_0 crossref_primary_10_1007_s10792_019_01080_1 crossref_primary_10_1016_j_oret_2019_02_013 crossref_primary_10_1038_s41598_023_44234_z crossref_primary_10_1167_iovs_19_27055 crossref_primary_10_1136_bjophthalmol_2021_320021 crossref_primary_10_3390_diagnostics14070750 crossref_primary_10_1155_2023_9479183 crossref_primary_10_2337_dbi24_0036 crossref_primary_10_1177_1535370219899893 crossref_primary_10_1001_jamaophthalmol_2018_1319 crossref_primary_10_1016_j_ajo_2020_05_006 crossref_primary_10_1080_09273948_2022_2054433 crossref_primary_10_1016_j_yaoo_2017_03_018 crossref_primary_10_1167_iovs_64_2_9 crossref_primary_10_1038_eye_2017_181 crossref_primary_10_3390_jcm13102835 crossref_primary_10_1080_09273948_2023_2279683 crossref_primary_10_1016_j_jfo_2019_10_004 crossref_primary_10_1136_bjophthalmol_2016_309837 crossref_primary_10_1186_s12348_017_0138_z crossref_primary_10_1371_journal_pone_0230260 crossref_primary_10_1007_s10792_021_02129_w crossref_primary_10_1016_j_oret_2017_11_001 crossref_primary_10_1080_08820538_2019_1620797 crossref_primary_10_1080_09273948_2022_2049316 crossref_primary_10_1007_s00417_020_04676_x crossref_primary_10_1016_j_cyto_2023_156407 crossref_primary_10_1038_s41598_024_54306_3 crossref_primary_10_3389_fimmu_2021_630022 crossref_primary_10_1111_aos_14024 crossref_primary_10_1080_09273948_2019_1603313 crossref_primary_10_1007_s00417_022_05763_x crossref_primary_10_1364_OE_465255 crossref_primary_10_1016_j_mvr_2019_103882 crossref_primary_10_1097_IAE_0000000000003891 crossref_primary_10_1016_j_survophthal_2021_11_002 crossref_primary_10_1016_j_oret_2021_02_007 crossref_primary_10_1136_bjophthalmol_2020_316881 crossref_primary_10_1364_BOE_439625 crossref_primary_10_1177_2474126419833590 crossref_primary_10_1186_s12886_020_01692_7 crossref_primary_10_1007_s10792_020_01561_8 crossref_primary_10_1109_JBHI_2020_3023308 crossref_primary_10_1038_s41598_024_67801_4 crossref_primary_10_1007_s00417_020_04687_8 crossref_primary_10_1016_j_jcjo_2020_06_016 crossref_primary_10_1159_000526487 crossref_primary_10_1016_j_ophtha_2019_06_028 crossref_primary_10_1186_s40942_024_00599_5 crossref_primary_10_1177_2515841419840249 crossref_primary_10_1159_000517521 crossref_primary_10_1109_TMI_2019_2948867 crossref_primary_10_1016_j_ajo_2020_04_019 crossref_primary_10_1186_s12886_018_1007_8 crossref_primary_10_1111_aos_14087 crossref_primary_10_1186_s12348_017_0134_3 crossref_primary_10_1186_s12348_019_0176_9 crossref_primary_10_1167_tvst_9_8_42 crossref_primary_10_1167_tvst_8_6_17 crossref_primary_10_1159_000539608 crossref_primary_10_1167_tvst_8_3_28 crossref_primary_10_1038_s41433_020_1063_1 crossref_primary_10_1038_s41598_020_80697_0 crossref_primary_10_1007_s10792_021_01892_0 crossref_primary_10_1136_bjophthalmol_2018_311874 crossref_primary_10_1097_MCP_0000000000000409 crossref_primary_10_1080_08820538_2021_1896753 crossref_primary_10_1159_000527957 crossref_primary_10_21561_jor_2022_7_1_59 crossref_primary_10_1177_2474126420936199 crossref_primary_10_1080_09273948_2020_1803923 crossref_primary_10_1371_journal_pone_0262996 crossref_primary_10_1016_j_ejr_2022_11_010 crossref_primary_10_4103_sjopt_sjopt_69_22 crossref_primary_10_1080_02713683_2024_2323520 crossref_primary_10_1080_09273948_2020_1797112 crossref_primary_10_1007_s00417_022_05699_2 crossref_primary_10_1167_iovs_61_3_50 crossref_primary_10_1186_s12348_023_00331_8 crossref_primary_10_1016_j_xops_2024_100696 crossref_primary_10_1186_s12348_022_00291_5 crossref_primary_10_1002_dad2_12181 crossref_primary_10_3389_fmed_2021_696447 crossref_primary_10_3389_fnins_2024_1361413 crossref_primary_10_1080_09273948_2020_1860231 crossref_primary_10_1167_tvst_10_9_5 crossref_primary_10_1177_1120672120920214 crossref_primary_10_1371_journal_pone_0197588 crossref_primary_10_1016_j_preteyeres_2017_04_005 crossref_primary_10_1177_24741264221080376 crossref_primary_10_1007_s00417_018_4057_y crossref_primary_10_1080_02713683_2024_2327054 crossref_primary_10_1186_s40942_020_00255_8 crossref_primary_10_1007_s00717_024_00575_2 crossref_primary_10_1016_j_ajo_2018_06_023 crossref_primary_10_1186_s12886_022_02638_x crossref_primary_10_1007_s10792_022_02464_6 crossref_primary_10_1080_09273948_2025_2464716 crossref_primary_10_22608_APO_201812 crossref_primary_10_1364_OE_382369 crossref_primary_10_1038_s41598_023_41054_z crossref_primary_10_1016_j_preteyeres_2020_100938 crossref_primary_10_3390_app8122441 crossref_primary_10_1016_j_autrev_2018_09_011 crossref_primary_10_1136_bjophthalmol_2018_313078 crossref_primary_10_4103_ijo_IJO_1298_22 crossref_primary_10_1080_09273948_2018_1530364 crossref_primary_10_1167_tvst_9_4_8 crossref_primary_10_1364_BOE_8_001056 crossref_primary_10_1080_09273948_2023_2211161 crossref_primary_10_1186_s40942_020_00262_9 |
Cites_doi | 10.1097/OPX.0000000000000645 10.3928/23258160-20140909-08 10.1136/bjo.2007.136846 10.1136/bjo.71.11.826 10.1016/S0161-6420(99)00087-1 10.1364/BOE.6.004130 10.1038/eye.2001.5 10.3928/23258160-20141118-04 10.2147/OPTH.S4033 10.1016/j.jcjo.2013.05.009 10.1001/archopht.1978.03910060294024 10.1016/j.ajo.2012.01.032 10.1016/j.ajo.2005.03.057 10.1167/iovs.10-5333 10.1001/archopht.1995.01100080071031 10.1016/j.ajo.2015.02.009 10.1136/bjo.2003.037226 10.1155/2012/509783 10.1001/jamaophthalmol.2014.3616 10.1364/OE.20.004710 10.1016/j.ophtha.2003.08.037 10.1097/IAE.0000000000000811 10.1167/iovs.15-18904 10.3760/cma.j.issn.0366-6999.20130282 10.1364/OL.35.001467 10.3928/23258160-20150909-03 |
ContentType | Journal Article |
Copyright | 2016 Elsevier Inc. Elsevier Inc. Copyright © 2016 Elsevier Inc. All rights reserved. Copyright Elsevier Limited Nov 01, 2016 |
Copyright_xml | – notice: 2016 Elsevier Inc. – notice: Elsevier Inc. – notice: Copyright © 2016 Elsevier Inc. All rights reserved. – notice: Copyright Elsevier Limited Nov 01, 2016 |
DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM K9. NAPCQ 7X8 5PM |
DOI | 10.1016/j.ajo.2016.08.035 |
DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed ProQuest Health & Medical Complete (Alumni) Nursing & Allied Health Premium MEDLINE - Academic PubMed Central (Full Participant titles) |
DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) ProQuest Health & Medical Complete (Alumni) Nursing & Allied Health Premium MEDLINE - Academic |
DatabaseTitleList | MEDLINE ProQuest Health & Medical Complete (Alumni) MEDLINE - Academic |
Database_xml | – sequence: 1 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Medicine |
EISSN | 1879-1891 |
EndPage | 112 |
ExternalDocumentID | PMC5115969 4256423871 27594138 10_1016_j_ajo_2016_08_035 S000293941630424X 1_s2_0_S000293941630424X |
Genre | Multicenter Study Journal Article Observational Study |
GrantInformation_xml | – fundername: NEI NIH HHS grantid: K08 EY023998 – fundername: NEI NIH HHS grantid: R01 EY024158 – fundername: NEI NIH HHS grantid: K08 EY027006 |
GroupedDBID | --- --K --M -~X .1- .55 .FO .GJ .~1 0R~ 1B1 1CY 1P~ 1~. 1~5 23M 4.4 457 4G. 53G 5GY 5RE 5VS 6J9 7-5 71M 8P~ AABNK AAEDT AAEDW AAHTB AAIKJ AAKOC AALRI AAOAW AAQFI AAQQT AAQXK AATTM AAWTL AAXKI AAXUO AAYWO ABBQC ABCQX ABDPE ABFNM ABFRF ABJNI ABLJU ABMAC ABMZM ABOCM ABPEJ ABWVN ABXDB ACDAQ ACGFO ACGFS ACIEU ACIUM ACNCT ACRLP ACRPL ACVFH ADBBV ADCNI ADEZE ADFRT ADMUD ADNMO AEBSH AEFWE AEIPS AEKER AENEX AEUPX AEVXI AFFNX AFJKZ AFPUW AFRHN AFTJW AFXIZ AGCQF AGHFR AGQPQ AGUBO AGYEJ AHMBA AI. AIEXJ AIGII AIIUN AIKHN AITUG AJRQY AJUYK AKBMS AKRWK AKYEP ALMA_UNASSIGNED_HOLDINGS AMRAJ ANKPU ANZVX APXCP ASPBG AVWKF AXJTR AZFZN BKEYQ BKOJK BLXMC BNPGV BPHCQ BVXVI CS3 EBS EFJIC EFKBS EJD EMOBN EO8 EO9 EP2 EP3 EX3 F5P FDB FEDTE FGOYB FIRID FNPLU FYGXN G-Q GBLVA HVGLF HZ~ IHE J1W J5H K-O KOM L7B M41 MO0 N4W N9A O-L O9- OAUVE OF- OPF OQ~ OZT P-8 P-9 P2P PC. PQQKQ PROAC Q38 R2- ROL RPZ SCC SDF SDG SDP SEL SES SPCBC SSH SSZ SV3 T5K UNMZH UV1 VH1 WH7 WOW X7M XPP Z5R ZGI ZXP ~G- 3V. 7RV 7X7 8FI AACTN AFCTW AFKRA AFKWA AJOXV AMFUW AZQEC BENPR FYUFA GUQSH M1P M2O PKN RIG AAIAV ABLVK ABYKQ AHPSJ AJBFU EFLBG G8K LCYCR ZA5 AAYXX CITATION ~HD CGR CUY CVF ECM EIF NPM AGRNS K9. NAPCQ 7X8 ACLOT 5PM |
ID | FETCH-LOGICAL-c650t-85c91957373721f972d38c3bdbee596d941f770fcbe84e8b35043c8f0aca85a63 |
IEDL.DBID | AIKHN |
ISSN | 0002-9394 1879-1891 |
IngestDate | Thu Aug 21 18:13:12 EDT 2025 Sun Sep 28 10:27:47 EDT 2025 Sat Jul 26 02:10:16 EDT 2025 Wed Feb 19 01:57:49 EST 2025 Thu Apr 24 23:07:05 EDT 2025 Thu Sep 18 00:18:44 EDT 2025 Fri Feb 23 02:32:59 EST 2024 Tue Feb 25 19:57:50 EST 2025 Tue Aug 26 17:24:35 EDT 2025 |
IsDoiOpenAccess | false |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Language | English |
License | Copyright © 2016 Elsevier Inc. All rights reserved. |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c650t-85c91957373721f972d38c3bdbee596d941f770fcbe84e8b35043c8f0aca85a63 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 ObjectType-Undefined-3 |
ORCID | 0000-0003-3689-7481 0000-0003-2269-9257 0000-0001-7430-5032 0000-0002-5637-666X |
OpenAccessLink | https://www.ncbi.nlm.nih.gov/pmc/articles/5115969 |
PMID | 27594138 |
PQID | 1841764443 |
PQPubID | 41749 |
PageCount | 12 |
ParticipantIDs | pubmedcentral_primary_oai_pubmedcentral_nih_gov_5115969 proquest_miscellaneous_1841793709 proquest_journals_1841764443 pubmed_primary_27594138 crossref_primary_10_1016_j_ajo_2016_08_035 crossref_citationtrail_10_1016_j_ajo_2016_08_035 elsevier_sciencedirect_doi_10_1016_j_ajo_2016_08_035 elsevier_clinicalkeyesjournals_1_s2_0_S000293941630424X elsevier_clinicalkey_doi_10_1016_j_ajo_2016_08_035 |
PublicationCentury | 2000 |
PublicationDate | 2016-11-01 |
PublicationDateYYYYMMDD | 2016-11-01 |
PublicationDate_xml | – month: 11 year: 2016 text: 2016-11-01 day: 01 |
PublicationDecade | 2010 |
PublicationPlace | United States |
PublicationPlace_xml | – name: United States – name: Chicago |
PublicationTitle | American journal of ophthalmology |
PublicationTitleAlternate | Am J Ophthalmol |
PublicationYear | 2016 |
Publisher | Elsevier Inc Elsevier Limited |
Publisher_xml | – name: Elsevier Inc – name: Elsevier Limited |
References | Markomichelakis, Halkiadakis, Pantelia (bib12) 2004; 111 Tran, de Smet, Bodaghi, Fardeau, Cassoux, Lehoang (bib11) 2008; 92 Zhang, Zhang, Wang (bib22) 2015; 6 Jabs, Nussenblatt, Rosenbaum (bib5) 2005; 140 Huang, Zhang, Thorell (bib20) 2014; 45 Nazari, Dustin, Heussen, Sadda, Rao (bib7) 2012; 154 Howes, Cruse (bib24) 1978; 96 Matsunaga, Yi, De Koo, Ameri, Puliafito, Kashani (bib16) 2015; 46 Jia, Tan, Tokayer (bib21) 2012; 20 Reif, Qin, An, Zhi, Dziennis, Wang (bib18) 2012; 2012 Antcliff, Stanford, Chauhan (bib4) 2000; 107 Hong, Nazari Khanamiri, Rao (bib6) 2013; 48 Feng, Kedhar, Bhoomibunchoo (bib14) 2013; 126 Freeman, Matos, Pavesio (bib3) 2001; 15 Matsunaga, Yi, Puliafito, Kashani (bib8) 2014; 45 Spaide, Klancnik, Cooney (bib9) 2015; 133 Graham, Stanford, Shilling, Sanders (bib23) 1987; 71 Rotsos, Moschos (bib25) 2008; 2 Kim, Chu, Shahidzadeh, Wang, Puliafito, Kashani (bib26) 2016; 57 Kashani, Lee, Moshfeghi, Durbin, Puliafito (bib17) 2015; 35 Hee, Puliafito, Wong (bib13) 1995; 113 Wang, An, Francis, Wilson (bib19) 2010; 35 Durrani, Tehrani, Marr, Moradi, Stavrou, Murray (bib2) 2004; 88 Karampelas, Sim, Chu (bib15) 2015; 159 Liu, Bi, Wang, Gao, Wang, Ma (bib1) 2015; 92 Mendis, Balaratnasingam, Yu (bib10) 2010; 51 Mendis (10.1016/j.ajo.2016.08.035_bib10) 2010; 51 Wang (10.1016/j.ajo.2016.08.035_bib19) 2010; 35 Jabs (10.1016/j.ajo.2016.08.035_bib5) 2005; 140 Rotsos (10.1016/j.ajo.2016.08.035_bib25) 2008; 2 Feng (10.1016/j.ajo.2016.08.035_bib14) 2013; 126 Antcliff (10.1016/j.ajo.2016.08.035_bib4) 2000; 107 Zhang (10.1016/j.ajo.2016.08.035_bib22) 2015; 6 Tran (10.1016/j.ajo.2016.08.035_bib11) 2008; 92 Matsunaga (10.1016/j.ajo.2016.08.035_bib16) 2015; 46 Durrani (10.1016/j.ajo.2016.08.035_bib2) 2004; 88 Nazari (10.1016/j.ajo.2016.08.035_bib7) 2012; 154 Liu (10.1016/j.ajo.2016.08.035_bib1) 2015; 92 Hee (10.1016/j.ajo.2016.08.035_bib13) 1995; 113 Kim (10.1016/j.ajo.2016.08.035_bib26) 2016; 57 Huang (10.1016/j.ajo.2016.08.035_bib20) 2014; 45 Jia (10.1016/j.ajo.2016.08.035_bib21) 2012; 20 Markomichelakis (10.1016/j.ajo.2016.08.035_bib12) 2004; 111 Matsunaga (10.1016/j.ajo.2016.08.035_bib8) 2014; 45 Kashani (10.1016/j.ajo.2016.08.035_bib17) 2015; 35 Howes (10.1016/j.ajo.2016.08.035_bib24) 1978; 96 Karampelas (10.1016/j.ajo.2016.08.035_bib15) 2015; 159 Hong (10.1016/j.ajo.2016.08.035_bib6) 2013; 48 Graham (10.1016/j.ajo.2016.08.035_bib23) 1987; 71 Freeman (10.1016/j.ajo.2016.08.035_bib3) 2001; 15 Reif (10.1016/j.ajo.2016.08.035_bib18) 2012; 2012 Spaide (10.1016/j.ajo.2016.08.035_bib9) 2015; 133 25230403 - Ophthalmic Surg Lasers Imaging Retina. 2014 Sep-Oct;45(5):382-9 25317632 - JAMA Ophthalmol. 2015 Jan;133(1):45-50 687212 - Arch Ophthalmol. 1978 Sep;96(9):1668-76 15121373 - Ophthalmology. 2004 May;111(5):946-53 25423629 - Ophthalmic Surg Lasers Imaging Retina. 2014 Nov-Dec;45(6):510-5 19668445 - Clin Ophthalmol. 2008 Dec;2(4):919-30 24314409 - Can J Ophthalmol. 2013 Dec;48(6):489-93 26457395 - Retina. 2015 Nov;35(11):2323-31 25709064 - Am J Ophthalmol. 2015 Jun;159(6):1161-1168.e1 23673115 - Chin Med J (Engl). 2013;126(10):1944-7 2446653 - Br J Ophthalmol. 1987 Nov;71(11):826-33 16196117 - Am J Ophthalmol. 2005 Sep;140(3):509-16 7639652 - Arch Ophthalmol. 1995 Aug;113(8):1019-29 15317708 - Br J Ophthalmol. 2004 Sep;88(9):1159-62 22541930 - Am J Ophthalmol. 2012 Jul;154(1):78-86.e1 26107024 - Optom Vis Sci. 2015 Aug;92(8):858-62 20436605 - Opt Lett. 2010 May 1;35(9):1467-9 26431294 - Ophthalmic Surg Lasers Imaging Retina. 2015 Sep;46(8):796-805 26504660 - Biomed Opt Express. 2015 Sep 28;6(10):4130-43 10711901 - Ophthalmology. 2000 Mar;107(3):593-9 18577643 - Br J Ophthalmol. 2008 Jul;92(7):922-7 20505200 - Invest Ophthalmol Vis Sci. 2010 Nov;51(11):5864-9 22792084 - Int J Biomed Imaging. 2012;2012:509783 22418228 - Opt Express. 2012 Feb 13;20(4):4710-25 11318279 - Eye (Lond). 2001 Feb;15(Pt 1):12-7 27409494 - Invest Ophthalmol Vis Sci. 2016 Jul 1;57(9):OCT362-70 |
References_xml | – volume: 92 start-page: 858 year: 2015 end-page: 862 ident: bib1 article-title: Macular abnormalities in Chinese patients with uveitis publication-title: Optom Vis Sci – volume: 140 start-page: 509 year: 2005 end-page: 516 ident: bib5 article-title: Standardization of uveitis nomenclature for reporting clinical data. Results of the First International Workshop publication-title: Am J Ophthalmol – volume: 133 start-page: 45 year: 2015 end-page: 50 ident: bib9 article-title: Retinal vascular layers imaged by fluorescein angiography and optical coherence tomography angiography publication-title: JAMA Ophthalmol – volume: 6 start-page: 4130 year: 2015 end-page: 4143 ident: bib22 article-title: Minimizing projection artifacts for accurate presentation of choroidal neovascularization in OCT micro-angiography publication-title: Biomed Opt Express – volume: 51 start-page: 5864 year: 2010 end-page: 5869 ident: bib10 article-title: Correlation of histologic and clinical images to determine the diagnostic value of fluorescein angiography for studying retinal capillary detail publication-title: Invest Ophthalmol Vis Sci – volume: 113 start-page: 1019 year: 1995 end-page: 1029 ident: bib13 article-title: Quantitative assessment of macular edema with optical coherence tomography publication-title: Arch Ophthalmol – volume: 15 start-page: 12 year: 2001 end-page: 17 ident: bib3 article-title: Cystoid macular oedema in uveitis: an unsolved problem publication-title: Eye (Lond) – volume: 57 start-page: OCT362 year: 2016 end-page: OCT370 ident: bib26 article-title: Quantifying microvascular density and morphology in diabetic retinopathy using spectral domain optical coherence tomography angiography publication-title: Invest Ophthalmol Vis Sci – volume: 159 start-page: 1161 year: 2015 end-page: 1168e1 ident: bib15 article-title: Quantitative analysis of peripheral vasculitis, ischemia, and vascular leakage in uveitis using ultra-widefield fluorescein angiography publication-title: Am J Ophthalmol – volume: 111 start-page: 946 year: 2004 end-page: 953 ident: bib12 article-title: Patterns of macular edema in patients with uveitis: qualitative and quantitative assessment using optical coherence tomography publication-title: Ophthalmology – volume: 96 start-page: 1668 year: 1978 end-page: 1676 ident: bib24 article-title: The structural basis of altered vascular permeability following intraocular inflammation publication-title: Arch Ophthalmol – volume: 107 start-page: 593 year: 2000 end-page: 599 ident: bib4 article-title: Comparison between optical coherence tomography and fundus fluorescein angiography for the detection of cystoid macular edema in patients with uveitis publication-title: Ophthalmology – volume: 92 start-page: 922 year: 2008 end-page: 927 ident: bib11 article-title: Uveitic macular oedema: correlation between optical coherence tomography patterns with visual acuity and fluorescein angiography publication-title: Br J Ophthalmol – volume: 126 start-page: 1944 year: 2013 end-page: 1947 ident: bib14 article-title: Retinal blood flow velocity in patients with active uveitis using the retinal function imager publication-title: Chin Med J (Engl) – volume: 48 start-page: 489 year: 2013 end-page: 493 ident: bib6 article-title: Role of ultra-widefield fluorescein angiography in the management of uveitis publication-title: Can J Ophthalmol – volume: 2012 start-page: 509783 year: 2012 ident: bib18 article-title: Quantifying optical microangiography images obtained from a spectral domain optical coherence tomography system publication-title: Int J Biomed Imaging – volume: 35 start-page: 2323 year: 2015 end-page: 2331 ident: bib17 article-title: Optical coherence tomography angiography of retinal venous occlusion publication-title: Retina – volume: 71 start-page: 826 year: 1987 end-page: 833 ident: bib23 article-title: Neovascularisation associated with posterior uveitis publication-title: Br J Ophthalmol – volume: 20 start-page: 4710 year: 2012 end-page: 4725 ident: bib21 article-title: Split-spectrum amplitude-decorrelation angiography with optical coherence tomography publication-title: Opt Express – volume: 45 start-page: 510 year: 2014 end-page: 515 ident: bib8 article-title: OCT angiography in healthy human subjects publication-title: Ophthalmic Surg Lasers Imaging Retina – volume: 45 start-page: 382 year: 2014 end-page: 389 ident: bib20 article-title: Swept-source OCT angiography of the retinal vasculature using intensity differentiation-based optical microangiography algorithms publication-title: Ophthalmic Surg Lasers Imaging Retina – volume: 35 start-page: 1467 year: 2010 end-page: 1469 ident: bib19 article-title: Depth-resolved imaging of capillary networks in retina and choroid using ultrahigh sensitive optical microangiography publication-title: Opt Lett – volume: 2 start-page: 919 year: 2008 end-page: 930 ident: bib25 article-title: Cystoid macular edema publication-title: Clin Ophthalmol – volume: 88 start-page: 1159 year: 2004 end-page: 1162 ident: bib2 article-title: Degree, duration, and causes of visual loss in uveitis publication-title: Br J Ophthalmol – volume: 154 start-page: 78 year: 2012 end-page: 86e1 ident: bib7 article-title: Morphometric spectral-domain optical coherence tomography features of epiretinal membrane correlate with visual acuity in patients with uveitis publication-title: Am J Ophthalmol – volume: 46 start-page: 796 year: 2015 end-page: 805 ident: bib16 article-title: Optical coherence tomography angiography of diabetic retinopathy in human subjects publication-title: Ophthalmic Surg Lasers Imaging Retina – volume: 92 start-page: 858 issue: 8 year: 2015 ident: 10.1016/j.ajo.2016.08.035_bib1 article-title: Macular abnormalities in Chinese patients with uveitis publication-title: Optom Vis Sci doi: 10.1097/OPX.0000000000000645 – volume: 45 start-page: 382 issue: 5 year: 2014 ident: 10.1016/j.ajo.2016.08.035_bib20 article-title: Swept-source OCT angiography of the retinal vasculature using intensity differentiation-based optical microangiography algorithms publication-title: Ophthalmic Surg Lasers Imaging Retina doi: 10.3928/23258160-20140909-08 – volume: 92 start-page: 922 issue: 7 year: 2008 ident: 10.1016/j.ajo.2016.08.035_bib11 article-title: Uveitic macular oedema: correlation between optical coherence tomography patterns with visual acuity and fluorescein angiography publication-title: Br J Ophthalmol doi: 10.1136/bjo.2007.136846 – volume: 71 start-page: 826 issue: 11 year: 1987 ident: 10.1016/j.ajo.2016.08.035_bib23 article-title: Neovascularisation associated with posterior uveitis publication-title: Br J Ophthalmol doi: 10.1136/bjo.71.11.826 – volume: 107 start-page: 593 issue: 3 year: 2000 ident: 10.1016/j.ajo.2016.08.035_bib4 article-title: Comparison between optical coherence tomography and fundus fluorescein angiography for the detection of cystoid macular edema in patients with uveitis publication-title: Ophthalmology doi: 10.1016/S0161-6420(99)00087-1 – volume: 6 start-page: 4130 issue: 10 year: 2015 ident: 10.1016/j.ajo.2016.08.035_bib22 article-title: Minimizing projection artifacts for accurate presentation of choroidal neovascularization in OCT micro-angiography publication-title: Biomed Opt Express doi: 10.1364/BOE.6.004130 – volume: 15 start-page: 12 issue: Pt 1 year: 2001 ident: 10.1016/j.ajo.2016.08.035_bib3 article-title: Cystoid macular oedema in uveitis: an unsolved problem publication-title: Eye (Lond) doi: 10.1038/eye.2001.5 – volume: 45 start-page: 510 issue: 6 year: 2014 ident: 10.1016/j.ajo.2016.08.035_bib8 article-title: OCT angiography in healthy human subjects publication-title: Ophthalmic Surg Lasers Imaging Retina doi: 10.3928/23258160-20141118-04 – volume: 2 start-page: 919 issue: 4 year: 2008 ident: 10.1016/j.ajo.2016.08.035_bib25 article-title: Cystoid macular edema publication-title: Clin Ophthalmol doi: 10.2147/OPTH.S4033 – volume: 48 start-page: 489 issue: 6 year: 2013 ident: 10.1016/j.ajo.2016.08.035_bib6 article-title: Role of ultra-widefield fluorescein angiography in the management of uveitis publication-title: Can J Ophthalmol doi: 10.1016/j.jcjo.2013.05.009 – volume: 96 start-page: 1668 issue: 9 year: 1978 ident: 10.1016/j.ajo.2016.08.035_bib24 article-title: The structural basis of altered vascular permeability following intraocular inflammation publication-title: Arch Ophthalmol doi: 10.1001/archopht.1978.03910060294024 – volume: 154 start-page: 78 issue: 1 year: 2012 ident: 10.1016/j.ajo.2016.08.035_bib7 article-title: Morphometric spectral-domain optical coherence tomography features of epiretinal membrane correlate with visual acuity in patients with uveitis publication-title: Am J Ophthalmol doi: 10.1016/j.ajo.2012.01.032 – volume: 140 start-page: 509 issue: 3 year: 2005 ident: 10.1016/j.ajo.2016.08.035_bib5 article-title: Standardization of uveitis nomenclature for reporting clinical data. Results of the First International Workshop publication-title: Am J Ophthalmol doi: 10.1016/j.ajo.2005.03.057 – volume: 51 start-page: 5864 issue: 11 year: 2010 ident: 10.1016/j.ajo.2016.08.035_bib10 article-title: Correlation of histologic and clinical images to determine the diagnostic value of fluorescein angiography for studying retinal capillary detail publication-title: Invest Ophthalmol Vis Sci doi: 10.1167/iovs.10-5333 – volume: 113 start-page: 1019 issue: 8 year: 1995 ident: 10.1016/j.ajo.2016.08.035_bib13 article-title: Quantitative assessment of macular edema with optical coherence tomography publication-title: Arch Ophthalmol doi: 10.1001/archopht.1995.01100080071031 – volume: 159 start-page: 1161 issue: 6 year: 2015 ident: 10.1016/j.ajo.2016.08.035_bib15 article-title: Quantitative analysis of peripheral vasculitis, ischemia, and vascular leakage in uveitis using ultra-widefield fluorescein angiography publication-title: Am J Ophthalmol doi: 10.1016/j.ajo.2015.02.009 – volume: 88 start-page: 1159 issue: 9 year: 2004 ident: 10.1016/j.ajo.2016.08.035_bib2 article-title: Degree, duration, and causes of visual loss in uveitis publication-title: Br J Ophthalmol doi: 10.1136/bjo.2003.037226 – volume: 2012 start-page: 509783 year: 2012 ident: 10.1016/j.ajo.2016.08.035_bib18 article-title: Quantifying optical microangiography images obtained from a spectral domain optical coherence tomography system publication-title: Int J Biomed Imaging doi: 10.1155/2012/509783 – volume: 133 start-page: 45 issue: 1 year: 2015 ident: 10.1016/j.ajo.2016.08.035_bib9 article-title: Retinal vascular layers imaged by fluorescein angiography and optical coherence tomography angiography publication-title: JAMA Ophthalmol doi: 10.1001/jamaophthalmol.2014.3616 – volume: 20 start-page: 4710 issue: 4 year: 2012 ident: 10.1016/j.ajo.2016.08.035_bib21 article-title: Split-spectrum amplitude-decorrelation angiography with optical coherence tomography publication-title: Opt Express doi: 10.1364/OE.20.004710 – volume: 111 start-page: 946 issue: 5 year: 2004 ident: 10.1016/j.ajo.2016.08.035_bib12 article-title: Patterns of macular edema in patients with uveitis: qualitative and quantitative assessment using optical coherence tomography publication-title: Ophthalmology doi: 10.1016/j.ophtha.2003.08.037 – volume: 35 start-page: 2323 issue: 11 year: 2015 ident: 10.1016/j.ajo.2016.08.035_bib17 article-title: Optical coherence tomography angiography of retinal venous occlusion publication-title: Retina doi: 10.1097/IAE.0000000000000811 – volume: 57 start-page: OCT362 issue: 9 year: 2016 ident: 10.1016/j.ajo.2016.08.035_bib26 article-title: Quantifying microvascular density and morphology in diabetic retinopathy using spectral domain optical coherence tomography angiography publication-title: Invest Ophthalmol Vis Sci doi: 10.1167/iovs.15-18904 – volume: 126 start-page: 1944 issue: 10 year: 2013 ident: 10.1016/j.ajo.2016.08.035_bib14 article-title: Retinal blood flow velocity in patients with active uveitis using the retinal function imager publication-title: Chin Med J (Engl) doi: 10.3760/cma.j.issn.0366-6999.20130282 – volume: 35 start-page: 1467 issue: 9 year: 2010 ident: 10.1016/j.ajo.2016.08.035_bib19 article-title: Depth-resolved imaging of capillary networks in retina and choroid using ultrahigh sensitive optical microangiography publication-title: Opt Lett doi: 10.1364/OL.35.001467 – volume: 46 start-page: 796 issue: 8 year: 2015 ident: 10.1016/j.ajo.2016.08.035_bib16 article-title: Optical coherence tomography angiography of diabetic retinopathy in human subjects publication-title: Ophthalmic Surg Lasers Imaging Retina doi: 10.3928/23258160-20150909-03 – reference: 16196117 - Am J Ophthalmol. 2005 Sep;140(3):509-16 – reference: 10711901 - Ophthalmology. 2000 Mar;107(3):593-9 – reference: 25423629 - Ophthalmic Surg Lasers Imaging Retina. 2014 Nov-Dec;45(6):510-5 – reference: 26107024 - Optom Vis Sci. 2015 Aug;92(8):858-62 – reference: 26457395 - Retina. 2015 Nov;35(11):2323-31 – reference: 22541930 - Am J Ophthalmol. 2012 Jul;154(1):78-86.e1 – reference: 687212 - Arch Ophthalmol. 1978 Sep;96(9):1668-76 – reference: 15121373 - Ophthalmology. 2004 May;111(5):946-53 – reference: 25709064 - Am J Ophthalmol. 2015 Jun;159(6):1161-1168.e1 – reference: 22792084 - Int J Biomed Imaging. 2012;2012:509783 – reference: 26431294 - Ophthalmic Surg Lasers Imaging Retina. 2015 Sep;46(8):796-805 – reference: 20436605 - Opt Lett. 2010 May 1;35(9):1467-9 – reference: 25230403 - Ophthalmic Surg Lasers Imaging Retina. 2014 Sep-Oct;45(5):382-9 – reference: 2446653 - Br J Ophthalmol. 1987 Nov;71(11):826-33 – reference: 22418228 - Opt Express. 2012 Feb 13;20(4):4710-25 – reference: 27409494 - Invest Ophthalmol Vis Sci. 2016 Jul 1;57(9):OCT362-70 – reference: 23673115 - Chin Med J (Engl). 2013;126(10):1944-7 – reference: 20505200 - Invest Ophthalmol Vis Sci. 2010 Nov;51(11):5864-9 – reference: 25317632 - JAMA Ophthalmol. 2015 Jan;133(1):45-50 – reference: 19668445 - Clin Ophthalmol. 2008 Dec;2(4):919-30 – reference: 26504660 - Biomed Opt Express. 2015 Sep 28;6(10):4130-43 – reference: 15317708 - Br J Ophthalmol. 2004 Sep;88(9):1159-62 – reference: 7639652 - Arch Ophthalmol. 1995 Aug;113(8):1019-29 – reference: 24314409 - Can J Ophthalmol. 2013 Dec;48(6):489-93 – reference: 11318279 - Eye (Lond). 2001 Feb;15(Pt 1):12-7 – reference: 18577643 - Br J Ophthalmol. 2008 Jul;92(7):922-7 |
SSID | ssj0006747 |
Score | 2.5696356 |
Snippet | To quantify retinal capillary density and morphology in uveitis using spectral-domain optical coherence tomography angiography (SD-OCTA).
Cross-sectional,... Abstract Purpose To quantify retinal capillary density and morphology in uveitis using SD-OCTA. Design Cross-sectional, observational study Methods Healthy and... Purpose To quantify retinal capillary density and morphology in uveitis using spectral-domain optical coherence tomography angiography (SD-OCTA). Design... To quantify retinal capillary density and morphology in uveitis using spectral-domain optical coherence tomography angiography (SD-OCTA).PURPOSETo quantify... |
SourceID | pubmedcentral proquest pubmed crossref elsevier |
SourceType | Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
StartPage | 101 |
SubjectTerms | Adult Aged Algorithms Automation Confidence intervals Cross-Sectional Studies Diabetes Diabetic retinopathy Disease Edema Family medical history Female Fluorescein Angiography - methods Fundus Oculi Humans Image Processing, Computer-Assisted Ischemia Male Medical imaging Microcirculation Microvessels - diagnostic imaging Middle Aged Morphology Ophthalmology Pathology Reproducibility of Results Retinal Vessels - diagnostic imaging Retrospective Studies Standard deviation Studies Tomography, Optical Coherence - methods Uveitis - diagnosis Uveitis - physiopathology Young Adult |
Title | Quantifying Retinal Microvascular Changes in Uveitis Using Spectral-Domain Optical Coherence Tomography Angiography |
URI | https://www.clinicalkey.com/#!/content/1-s2.0-S000293941630424X https://www.clinicalkey.es/playcontent/1-s2.0-S000293941630424X https://dx.doi.org/10.1016/j.ajo.2016.08.035 https://www.ncbi.nlm.nih.gov/pubmed/27594138 https://www.proquest.com/docview/1841764443 https://www.proquest.com/docview/1841793709 https://pubmed.ncbi.nlm.nih.gov/PMC5115969 |
Volume | 171 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3db9MwED9tnYR4QXxTGJOReEIKS-Ikth-rfaiAOgRapb5ZduJAJpZWpOVxf_vuEidQNg2JtyT2yYnvfHeO73cH8FYUpbEZDwOVFRluUHIeqNjaIOZOOmNszEvaKM7Osuk8-bhIFztw1GNhKKzS6_5Op7fa2j859LN5uKoqwviGaKsUeRR0frfYhb0Yrb0cwd7kw6fp2aCQM5GI3gsmgv5wsw3zMhcEAYyyNpFnW_TtVvN00_38O4ryD7N0-hAeeH-STbpXfgQ7rn4M92b-xPwJNF82huKBCM3EvhK-GXvPKAqvj0FlHcCgYVXN5r8c5ThibSABo9r0NGZwvLw02Pp51f74ZgTpaEGC7Hx56VNes0n9rfLXT2F-enJ-NA18oYUgRwdtHcg0V5FKBaeaNVGpRFxwmXNbWOdSZCLOcSlEWObWycRJyyntWS7L0ORGpibjz2BUL2v3AlgalxZ3ICqUlHnOOKOiQoVKWK5khpuTMYT9_OrcZyGnYhg_dB9udqGRJZpYoqlAJkeSdwPJqkvBcVfnuGea7rGlqA01Goi7iMRtRK7x67nRkW5iHeobMjeGZKDcEtt_Dbjfy5P-PYZMIoHuacLH8GZoxtVORzimdsuN74MeZajG8LwTv2FOYpHii3GJX7MlmEMHyiS-3VJX39uM4uh1I5_Vy__7mldwn-46hOY-jNY_N-41umprewC776-iA78grwGwwT5W |
linkProvider | Elsevier |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3fb9MwED6NTgJeEL8pDDAST0jRkjiJ7cdqMHVsLQK1Ut8sO3UgE0urpd3fz13iBMqmIfFW1T458Z3Pn-P77gDei2VhbMbDQGXLDA8oOQ9UbG0QcyedMTbmBR0UJ9NsPE8-L9LFHhx1XBgKq_S-v_Xpjbf2_xz62TxclyVxfEPcqxQhCrq_W9yB_YSKWg9gf3RyOp72DjkTiehQMAl0l5tNmJc5JwpglDWJPJuibzduT9fh599RlH9sS8cP4YHHk2zUPvIj2HPVY7g78TfmT6D-ujUUD0RsJvaN-M3Ye0JReF0MKmsJBjUrKza_cpTjiDWBBIxq09OYwcfVhcHWL-vmwzcjSkdDEmSz1YVPec1G1ffS_34K8-NPs6Nx4AstBDkCtE0g01xFKhWcatZEhRLxksuc26V1LkUl4hwXQoRFbp1MnLSc0p7lsghNbmRqMv4MBtWqci-ApXFh8QSiQkmZ54wzKlqqUAnLlczwcDKEsJtfnfss5FQM46fuws3ONapEk0o0FcjkKPKhF1m3KThu6xx3StMdtxS9ocYN4jYhcZOQq_16rnWk61iH-prNDSHpJXfM9l8DHnT2pH-PIZNIIDxN-BDe9c242ukKx1RutfV9EFGGagjPW_Pr5yQWKT4Yl_g2O4bZd6BM4rstVfmjySiOqBv1rF7-39u8hXvj2eRMn51MT1_BfWpp2ZoHMNhcbt1rhG0b-8Yvy18qKUA8 |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Quantifying+Retinal+Microvascular+Changes+in+Uveitis+Using+Spectral-Domain+Optical+Coherence+Tomography+Angiography&rft.jtitle=American+journal+of+ophthalmology&rft.au=Kim%2C+Alice+Y&rft.au=Rodger%2C+Damien+C&rft.au=Shahidzadeh%2C+Anoush&rft.au=Chu%2C+Zhongdi&rft.date=2016-11-01&rft.eissn=1879-1891&rft.volume=171&rft.spage=101&rft_id=info:doi/10.1016%2Fj.ajo.2016.08.035&rft_id=info%3Apmid%2F27594138&rft.externalDocID=27594138 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0002-9394&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0002-9394&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0002-9394&client=summon |