Topographic analysis of macular choriocapillaris flow deficits in diabetic retinopathy using swept–source optical coherence tomography angiography
BACKGROUND: The purpose of this study was to investigate the association between diabetic retinopathy (DR) severity and macular choriocapillaris (CC) flow deficit percentage (FD %) in different macular regions using swept-source optical coherence tomography angiography (SS-OCTA). METHODS: Diabetic p...
| Main Authors: | , , , , , , , , , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
BioMed Central
2020
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| Online Access: | https://hdl.handle.net/1721.1/126528 |
| _version_ | 1826215481552404480 |
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| author | Gendelman, Isaac Alibhai, A. Y Moult, Eric Michael Levine, Emily S Braun, Phillip X Mehta, Nihaal Zhao, Yi Ishibazawa, Akihiro Sorour, Osama A Baumal, Caroline R Witkin, Andre J Reichel, Elias Fujimoto, James G Duker, Jay S |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Gendelman, Isaac Alibhai, A. Y Moult, Eric Michael Levine, Emily S Braun, Phillip X Mehta, Nihaal Zhao, Yi Ishibazawa, Akihiro Sorour, Osama A Baumal, Caroline R Witkin, Andre J Reichel, Elias Fujimoto, James G Duker, Jay S |
| author_sort | Gendelman, Isaac |
| collection | MIT |
| description | BACKGROUND: The purpose of this study was to investigate the association between diabetic retinopathy (DR) severity and macular choriocapillaris (CC) flow deficit percentage (FD %) in different macular regions using swept-source optical coherence tomography angiography (SS-OCTA). METHODS: Diabetic patients with SS-OCTA images were graded by severity and retrospectively assessed. CC FD % was calculated in four different regions of the OCTA image: inner, middle, outer, and full-field region. The generalized estimating equations (GEE) approach for clustered eye data was used to determine effect size and significance of age and disease severity on FD % for each region. RESULTS: 160 eyes from 90 total diabetic patients met inclusion criteria. Out of 90 patients, 33 had no DR, 17 had mild nonproliferative DR (NPDR), 8 had moderate NPDR, 10 had severe NPDR and 22 had proliferative DR. Age and DR severity had a significant positive association with FD % for each region studied with a greater effect in the two centermost regions. The increase in flow deficit percentage per year of age by region was: inner 0.12 (p < 0.001), middle 0.09 (p < 0.001), outer 0.05 (p < 0.001, full-field 0.06 (p < 0.001). The increase in flow deficit percentage per increase in diabetic retinopathy severity stage by region was: inner 0.65 (p < 0.0087), middle 0.56 (p < 0.0012), outer 0.33 (p < 0.045), full-field 0.36 (p < 0.018). CONCLUSIONS: Topographic analysis of the CC FD % in diabetic eyes suggests that CC flow impairment corresponds to DR severity, with all studied regions of the CC significantly affected. There was greater regional impairment due to age and disease severity in the inner and middle regions. |
| first_indexed | 2024-09-23T16:31:09Z |
| format | Article |
| id | mit-1721.1/126528 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T16:31:09Z |
| publishDate | 2020 |
| publisher | BioMed Central |
| record_format | dspace |
| spelling | mit-1721.1/1265282022-09-29T20:02:23Z Topographic analysis of macular choriocapillaris flow deficits in diabetic retinopathy using swept–source optical coherence tomography angiography Gendelman, Isaac Alibhai, A. Y Moult, Eric Michael Levine, Emily S Braun, Phillip X Mehta, Nihaal Zhao, Yi Ishibazawa, Akihiro Sorour, Osama A Baumal, Caroline R Witkin, Andre J Reichel, Elias Fujimoto, James G Duker, Jay S Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science BACKGROUND: The purpose of this study was to investigate the association between diabetic retinopathy (DR) severity and macular choriocapillaris (CC) flow deficit percentage (FD %) in different macular regions using swept-source optical coherence tomography angiography (SS-OCTA). METHODS: Diabetic patients with SS-OCTA images were graded by severity and retrospectively assessed. CC FD % was calculated in four different regions of the OCTA image: inner, middle, outer, and full-field region. The generalized estimating equations (GEE) approach for clustered eye data was used to determine effect size and significance of age and disease severity on FD % for each region. RESULTS: 160 eyes from 90 total diabetic patients met inclusion criteria. Out of 90 patients, 33 had no DR, 17 had mild nonproliferative DR (NPDR), 8 had moderate NPDR, 10 had severe NPDR and 22 had proliferative DR. Age and DR severity had a significant positive association with FD % for each region studied with a greater effect in the two centermost regions. The increase in flow deficit percentage per year of age by region was: inner 0.12 (p < 0.001), middle 0.09 (p < 0.001), outer 0.05 (p < 0.001, full-field 0.06 (p < 0.001). The increase in flow deficit percentage per increase in diabetic retinopathy severity stage by region was: inner 0.65 (p < 0.0087), middle 0.56 (p < 0.0012), outer 0.33 (p < 0.045), full-field 0.36 (p < 0.018). CONCLUSIONS: Topographic analysis of the CC FD % in diabetic eyes suggests that CC flow impairment corresponds to DR severity, with all studied regions of the CC significantly affected. There was greater regional impairment due to age and disease severity in the inner and middle regions. National Institutes of Health (Grant Number 5-R01-EY011289-31) Air Force Ofce of Scientifc Research (Grant Number FA9550-15-1-0473) 2020-08-11T14:16:19Z 2020-08-11T14:16:19Z 2020-03-19 2020-06-26T11:13:19Z Article http://purl.org/eprint/type/JournalArticle 2056-9920 https://hdl.handle.net/1721.1/126528 Gendelman, Isaac et al. "Topographic analysis of macular choriocapillaris flow deficits in diabetic retinopathy using swept–source optical coherence tomography angiography." International Journal of Retina and Vitreous 6 (March 2020): 6 ©2020 Author(s) en 10.1186/s40942-020-00209-0 International Journal of Retina and Vitreous Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ The Author(s) application/pdf BioMed Central BioMed Central |
| spellingShingle | Gendelman, Isaac Alibhai, A. Y Moult, Eric Michael Levine, Emily S Braun, Phillip X Mehta, Nihaal Zhao, Yi Ishibazawa, Akihiro Sorour, Osama A Baumal, Caroline R Witkin, Andre J Reichel, Elias Fujimoto, James G Duker, Jay S Topographic analysis of macular choriocapillaris flow deficits in diabetic retinopathy using swept–source optical coherence tomography angiography |
| title | Topographic analysis of macular choriocapillaris flow deficits in diabetic retinopathy using swept–source optical coherence tomography angiography |
| title_full | Topographic analysis of macular choriocapillaris flow deficits in diabetic retinopathy using swept–source optical coherence tomography angiography |
| title_fullStr | Topographic analysis of macular choriocapillaris flow deficits in diabetic retinopathy using swept–source optical coherence tomography angiography |
| title_full_unstemmed | Topographic analysis of macular choriocapillaris flow deficits in diabetic retinopathy using swept–source optical coherence tomography angiography |
| title_short | Topographic analysis of macular choriocapillaris flow deficits in diabetic retinopathy using swept–source optical coherence tomography angiography |
| title_sort | topographic analysis of macular choriocapillaris flow deficits in diabetic retinopathy using swept source optical coherence tomography angiography |
| url | https://hdl.handle.net/1721.1/126528 |
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