Quantitative microvascular analysis with wide-field optical coherence tomography angiography in eyes with diabetic retinopathy
Importance: Wide-field optical coherence tomographic angiography (OCTA) may provide insights to peripheral capillary dropout in eyes with diabetic retinopathy (DR). Objective: To describe the diagnostic performance of wide-field OCTA with and without large vessel removal for assessment of DR in pers...
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Science::Medicine Quantitative Microvascular Analysis Diabetic Retinopathy Tan, Bingyao Chua, Jacqueline Lin, Emily Cheng, Joyce Gan, Alfred Yao, Xinwen Wong, Damon W. K. Sabanayagam, Charumathi Wong, Doric Chan, Choi Mun Wong, Tien Yin Schmetterer, Leopold Tan, Gavin S. Quantitative microvascular analysis with wide-field optical coherence tomography angiography in eyes with diabetic retinopathy |
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Importance: Wide-field optical coherence tomographic angiography (OCTA) may provide insights to peripheral capillary dropout in eyes with diabetic retinopathy (DR). Objective: To describe the diagnostic performance of wide-field OCTA with and without large vessel removal for assessment of DR in persons with diabetes. Design, Setting, and Participants: This case-control study was performed from April 26, 2018, to April 8, 2019, at a single tertiary eye center in Singapore. Case patients were those with type 2 diabetes for more than 5 years and bilateral DR diagnosed by fundus imaging; control participants included those with no self-reported history of diabetes, a fasting glucose level within the normal range in the past year, and no ocular pathologic findings. A wide-field (12 × 12-mm2) fovea-centered scan was performed using a prototype swept source OCTA system. Retinal microvasculature was examined by separating the angiograms into large vessels, capillaries, and capillary dropout regions. Main Outcome Measures: Area under the receiver operating characteristic curve (AUC) for DR severity discrimination using wide-field vascular metrics. Retinal perfusion density (RPD), capillary perfusion density (CPD), large vessel density (LVD), and capillary dropout density (CDD) were calculated. Low-contrast regions were excluded from the calculation. Results: A total of 49 eyes in 27 control participants (17 male [63.0%]; mean [SD] age, 59.96 [7.63] years; age range, 44-79 years) and 76 eyes in 47 patients with diabetes (29 male [61.7%]; mean [SD] age, 64.36 [8.08] years; range, 41-79 years) were included. Among eyes in patients with diabetes, 23 were in those with diabetes but no DR, 25 in those with mild nonproliferative DR, and 28 in those with moderate to severe nonproliferative DR. There was no difference in RPD, CPD, LVD, and CDD between the control group and the group with diabetes and no DR. There was a stepwise decrease in RPD, CPD, and CDD in the diabetes with no DR, mild nonproliferative DR, and moderate to severe nonproliferative DR groups, whereas LVD was not associated with DR staging. The nonproliferative DR group had decreased RPD, CPD, and CDD compared with the control group. The CPD had higher AUCs than RPD for discriminating diabetes with nonproliferative DR (combined mild and moderate to severe nonproliferative DR) vs no DM (AUC, 0.92 [95% CI, 0.87-0.98] vs 0.89 [95% CI, 0.83-0.95], P = .01), diabetes with no DR vs mild nonproliferative DR (AUC, 0.81 [95% CI, 0.68-0.94] vs 0.77 [95% CI, 0.64-0.91], P = .18), and mild nonproliferative DR vs moderate to severe nonproliferative DR (AUC, 0.82 [95% CI, 0.71-0.94] vs 0.78 [95% CI, 0.65-0.91], P = .01) but similar AUCs for no DM vs diabetes with no DR. The total perfusion density and CPD in wide-field OCTA had better discriminative power than the central 6 × 6-mm2 field (CPD, 0.89 [95% CI, 0.83-0.95] vs 0.84 [95% CI, 0.77-0.92], P = .06; total perfusion density, 0.93 [95% CI, 0.87-0.98] vs 0.90 [95% CI, 0.83-0.96], P = .06). Conclusion and Relevance: The findings suggest that wide-field OCTA provides information on microvascular perfusion and may be useful for detecting predominant peripheral capillary dropout in eyes with nonproliferative DR. A vascular selectivity approach excluding the large vessels may improve the discriminative power for different stages of DR. |
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Lee Kong Chian School of Medicine (LKCMedicine) |
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Lee Kong Chian School of Medicine (LKCMedicine) Tan, Bingyao Chua, Jacqueline Lin, Emily Cheng, Joyce Gan, Alfred Yao, Xinwen Wong, Damon W. K. Sabanayagam, Charumathi Wong, Doric Chan, Choi Mun Wong, Tien Yin Schmetterer, Leopold Tan, Gavin S. |
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Article |
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Tan, Bingyao Chua, Jacqueline Lin, Emily Cheng, Joyce Gan, Alfred Yao, Xinwen Wong, Damon W. K. Sabanayagam, Charumathi Wong, Doric Chan, Choi Mun Wong, Tien Yin Schmetterer, Leopold Tan, Gavin S. |
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Tan, Bingyao |
title |
Quantitative microvascular analysis with wide-field optical coherence tomography angiography in eyes with diabetic retinopathy |
title_short |
Quantitative microvascular analysis with wide-field optical coherence tomography angiography in eyes with diabetic retinopathy |
title_full |
Quantitative microvascular analysis with wide-field optical coherence tomography angiography in eyes with diabetic retinopathy |
title_fullStr |
Quantitative microvascular analysis with wide-field optical coherence tomography angiography in eyes with diabetic retinopathy |
title_full_unstemmed |
Quantitative microvascular analysis with wide-field optical coherence tomography angiography in eyes with diabetic retinopathy |
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quantitative microvascular analysis with wide-field optical coherence tomography angiography in eyes with diabetic retinopathy |
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2021 |
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https://hdl.handle.net/10356/147598 |
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sg-ntu-dr.10356-1475982023-03-05T16:48:19Z Quantitative microvascular analysis with wide-field optical coherence tomography angiography in eyes with diabetic retinopathy Tan, Bingyao Chua, Jacqueline Lin, Emily Cheng, Joyce Gan, Alfred Yao, Xinwen Wong, Damon W. K. Sabanayagam, Charumathi Wong, Doric Chan, Choi Mun Wong, Tien Yin Schmetterer, Leopold Tan, Gavin S. Lee Kong Chian School of Medicine (LKCMedicine) Department of Ophthalmology Science::Medicine Quantitative Microvascular Analysis Diabetic Retinopathy Importance: Wide-field optical coherence tomographic angiography (OCTA) may provide insights to peripheral capillary dropout in eyes with diabetic retinopathy (DR). Objective: To describe the diagnostic performance of wide-field OCTA with and without large vessel removal for assessment of DR in persons with diabetes. Design, Setting, and Participants: This case-control study was performed from April 26, 2018, to April 8, 2019, at a single tertiary eye center in Singapore. Case patients were those with type 2 diabetes for more than 5 years and bilateral DR diagnosed by fundus imaging; control participants included those with no self-reported history of diabetes, a fasting glucose level within the normal range in the past year, and no ocular pathologic findings. A wide-field (12 × 12-mm2) fovea-centered scan was performed using a prototype swept source OCTA system. Retinal microvasculature was examined by separating the angiograms into large vessels, capillaries, and capillary dropout regions. Main Outcome Measures: Area under the receiver operating characteristic curve (AUC) for DR severity discrimination using wide-field vascular metrics. Retinal perfusion density (RPD), capillary perfusion density (CPD), large vessel density (LVD), and capillary dropout density (CDD) were calculated. Low-contrast regions were excluded from the calculation. Results: A total of 49 eyes in 27 control participants (17 male [63.0%]; mean [SD] age, 59.96 [7.63] years; age range, 44-79 years) and 76 eyes in 47 patients with diabetes (29 male [61.7%]; mean [SD] age, 64.36 [8.08] years; range, 41-79 years) were included. Among eyes in patients with diabetes, 23 were in those with diabetes but no DR, 25 in those with mild nonproliferative DR, and 28 in those with moderate to severe nonproliferative DR. There was no difference in RPD, CPD, LVD, and CDD between the control group and the group with diabetes and no DR. There was a stepwise decrease in RPD, CPD, and CDD in the diabetes with no DR, mild nonproliferative DR, and moderate to severe nonproliferative DR groups, whereas LVD was not associated with DR staging. The nonproliferative DR group had decreased RPD, CPD, and CDD compared with the control group. The CPD had higher AUCs than RPD for discriminating diabetes with nonproliferative DR (combined mild and moderate to severe nonproliferative DR) vs no DM (AUC, 0.92 [95% CI, 0.87-0.98] vs 0.89 [95% CI, 0.83-0.95], P = .01), diabetes with no DR vs mild nonproliferative DR (AUC, 0.81 [95% CI, 0.68-0.94] vs 0.77 [95% CI, 0.64-0.91], P = .18), and mild nonproliferative DR vs moderate to severe nonproliferative DR (AUC, 0.82 [95% CI, 0.71-0.94] vs 0.78 [95% CI, 0.65-0.91], P = .01) but similar AUCs for no DM vs diabetes with no DR. The total perfusion density and CPD in wide-field OCTA had better discriminative power than the central 6 × 6-mm2 field (CPD, 0.89 [95% CI, 0.83-0.95] vs 0.84 [95% CI, 0.77-0.92], P = .06; total perfusion density, 0.93 [95% CI, 0.87-0.98] vs 0.90 [95% CI, 0.83-0.96], P = .06). Conclusion and Relevance: The findings suggest that wide-field OCTA provides information on microvascular perfusion and may be useful for detecting predominant peripheral capillary dropout in eyes with nonproliferative DR. A vascular selectivity approach excluding the large vessels may improve the discriminative power for different stages of DR. National Medical Research Council (NMRC) Published version The study was funded by grants CG/C010A/2017, OFIRG/0048/2017, OFLCG/001/2017, TA/MOH-0055/2017, and TA/MOH-000249-00/2018 from the National Medical Research Council and grant Duke-NUS-KP(Coll)/2018/0009A from the Duke–National University of Singapore Medical School. 2021-04-13T09:23:05Z 2021-04-13T09:23:05Z 2020 Journal Article Tan, B., Chua, J., Lin, E., Cheng, J., Gan, A., Yao, X., Wong, D. W. K., Sabanayagam, C., Wong, D., Chan, C. M., Wong, T. Y., Schmetterer, L. & Tan, G. S. (2020). Quantitative microvascular analysis with wide-field optical coherence tomography angiography in eyes with diabetic retinopathy. JAMA Network Open, 3(1). https://dx.doi.org/10.1001/jamanetworkopen.2019.19469 2574-3805 https://hdl.handle.net/10356/147598 10.1001/jamanetworkopen.2019.19469 31951275 2-s2.0-85077941946 1 3 en CG/C010A/2017 OFIRG/0048/2017 OFLCG/001/2017 TA/MOH-0055/2017 TA/MOH-000249-00/2018 JAMA Network Open © 2020 The Author(s). This is an open access article distributed under the terms of the CC-BY License. application/pdf |