Cargando…
Different scan areas affect the detection rates of diabetic retinopathy lesions by high-speed ultra-widefield swept-source optical coherence tomography angiography
INTRODUCTION: The study aimed to determine the effect of the scanning area used for high-speed ultra-widefield swept-source optical coherence tomography angiography (SS-OCTA) on the detection rate of diabetic retinopathy (DR) lesions. METHODS: This prospective, observational study involved diabetic...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9986411/ https://www.ncbi.nlm.nih.gov/pubmed/36891051 http://dx.doi.org/10.3389/fendo.2023.1111360 |
_version_ | 1784901158721028096 |
---|---|
author | Li, Mengyu Mao, Mingzhu Wei, Dingyang Liu, Miao Liu, Xinyue Leng, Hongmei Wang, Yiya Chen, Sizhu Zhang, Ruifan Zeng, Yong Wang, Min Li, Jie Zhong, Jie |
author_facet | Li, Mengyu Mao, Mingzhu Wei, Dingyang Liu, Miao Liu, Xinyue Leng, Hongmei Wang, Yiya Chen, Sizhu Zhang, Ruifan Zeng, Yong Wang, Min Li, Jie Zhong, Jie |
author_sort | Li, Mengyu |
collection | PubMed |
description | INTRODUCTION: The study aimed to determine the effect of the scanning area used for high-speed ultra-widefield swept-source optical coherence tomography angiography (SS-OCTA) on the detection rate of diabetic retinopathy (DR) lesions. METHODS: This prospective, observational study involved diabetic patients between October 2021 and April 2022. The participants underwent a comprehensive ophthalmic examination and high-speed ultra-widefield SS-OCTA using a 24 mm × 20 mm scanning protocol. A central area denoted as “12 mm × 12 mm-central” was extracted from the 24 mm × 20 mm image, and the remaining area was denoted as “12 mm~24mm-annulus.” The rates of detection of DR lesions using the two scanning areas were recorded and compared. RESULTS: In total, 172 eyes (41 eyes with diabetes mellitus without DR, 40 eyes with mild to moderate non-proliferative diabetic retinopathy (NPDR), 51 eyes with severe NPDR, and 40 eyes with proliferative diabetic retinopathy (PDR) from 101 participants were included. The detection rates of microaneurysms (MAs), intraretinal microvascular abnormalities (IRMAs), and neovascularization (NV) for the 12 mm × 12 mm central and 24 mm × 20 mm images were comparable (p > 0.05). The detection rate of NPAs for the 24 mm × 20 mm image was 64.5%, which was significantly higher than that for the 12 mm × 12 mm central image (52.3%, p < 0.05). The average ischemic index (ISI) was 15.26% for the 12 mm~24mm-annulus, which was significantly higher than that for the 12 mm × 12 mm central image (5.62%). Six eyes had NV and 10 eyes had IRMAs that only existed in the 12 mm~24mm-annulus area. CONCLUSIONS: The newly developed high-speed ultra-widefield SS-OCTA can capture a 24 mm × 20 mm retinal vascular image during a single scan, which improves the accuracy of detecting the degree of retinal ischemia and detection rate of NV and IRMAs. |
format | Online Article Text |
id | pubmed-9986411 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99864112023-03-07 Different scan areas affect the detection rates of diabetic retinopathy lesions by high-speed ultra-widefield swept-source optical coherence tomography angiography Li, Mengyu Mao, Mingzhu Wei, Dingyang Liu, Miao Liu, Xinyue Leng, Hongmei Wang, Yiya Chen, Sizhu Zhang, Ruifan Zeng, Yong Wang, Min Li, Jie Zhong, Jie Front Endocrinol (Lausanne) Endocrinology INTRODUCTION: The study aimed to determine the effect of the scanning area used for high-speed ultra-widefield swept-source optical coherence tomography angiography (SS-OCTA) on the detection rate of diabetic retinopathy (DR) lesions. METHODS: This prospective, observational study involved diabetic patients between October 2021 and April 2022. The participants underwent a comprehensive ophthalmic examination and high-speed ultra-widefield SS-OCTA using a 24 mm × 20 mm scanning protocol. A central area denoted as “12 mm × 12 mm-central” was extracted from the 24 mm × 20 mm image, and the remaining area was denoted as “12 mm~24mm-annulus.” The rates of detection of DR lesions using the two scanning areas were recorded and compared. RESULTS: In total, 172 eyes (41 eyes with diabetes mellitus without DR, 40 eyes with mild to moderate non-proliferative diabetic retinopathy (NPDR), 51 eyes with severe NPDR, and 40 eyes with proliferative diabetic retinopathy (PDR) from 101 participants were included. The detection rates of microaneurysms (MAs), intraretinal microvascular abnormalities (IRMAs), and neovascularization (NV) for the 12 mm × 12 mm central and 24 mm × 20 mm images were comparable (p > 0.05). The detection rate of NPAs for the 24 mm × 20 mm image was 64.5%, which was significantly higher than that for the 12 mm × 12 mm central image (52.3%, p < 0.05). The average ischemic index (ISI) was 15.26% for the 12 mm~24mm-annulus, which was significantly higher than that for the 12 mm × 12 mm central image (5.62%). Six eyes had NV and 10 eyes had IRMAs that only existed in the 12 mm~24mm-annulus area. CONCLUSIONS: The newly developed high-speed ultra-widefield SS-OCTA can capture a 24 mm × 20 mm retinal vascular image during a single scan, which improves the accuracy of detecting the degree of retinal ischemia and detection rate of NV and IRMAs. Frontiers Media S.A. 2023-02-20 /pmc/articles/PMC9986411/ /pubmed/36891051 http://dx.doi.org/10.3389/fendo.2023.1111360 Text en Copyright © 2023 Li, Mao, Wei, Liu, Liu, Leng, Wang, Chen, Zhang, Zeng, Wang, Li and Zhong https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Endocrinology Li, Mengyu Mao, Mingzhu Wei, Dingyang Liu, Miao Liu, Xinyue Leng, Hongmei Wang, Yiya Chen, Sizhu Zhang, Ruifan Zeng, Yong Wang, Min Li, Jie Zhong, Jie Different scan areas affect the detection rates of diabetic retinopathy lesions by high-speed ultra-widefield swept-source optical coherence tomography angiography |
title | Different scan areas affect the detection rates of diabetic retinopathy lesions by high-speed ultra-widefield swept-source optical coherence tomography angiography |
title_full | Different scan areas affect the detection rates of diabetic retinopathy lesions by high-speed ultra-widefield swept-source optical coherence tomography angiography |
title_fullStr | Different scan areas affect the detection rates of diabetic retinopathy lesions by high-speed ultra-widefield swept-source optical coherence tomography angiography |
title_full_unstemmed | Different scan areas affect the detection rates of diabetic retinopathy lesions by high-speed ultra-widefield swept-source optical coherence tomography angiography |
title_short | Different scan areas affect the detection rates of diabetic retinopathy lesions by high-speed ultra-widefield swept-source optical coherence tomography angiography |
title_sort | different scan areas affect the detection rates of diabetic retinopathy lesions by high-speed ultra-widefield swept-source optical coherence tomography angiography |
topic | Endocrinology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9986411/ https://www.ncbi.nlm.nih.gov/pubmed/36891051 http://dx.doi.org/10.3389/fendo.2023.1111360 |
work_keys_str_mv | AT limengyu differentscanareasaffectthedetectionratesofdiabeticretinopathylesionsbyhighspeedultrawidefieldsweptsourceopticalcoherencetomographyangiography AT maomingzhu differentscanareasaffectthedetectionratesofdiabeticretinopathylesionsbyhighspeedultrawidefieldsweptsourceopticalcoherencetomographyangiography AT weidingyang differentscanareasaffectthedetectionratesofdiabeticretinopathylesionsbyhighspeedultrawidefieldsweptsourceopticalcoherencetomographyangiography AT liumiao differentscanareasaffectthedetectionratesofdiabeticretinopathylesionsbyhighspeedultrawidefieldsweptsourceopticalcoherencetomographyangiography AT liuxinyue differentscanareasaffectthedetectionratesofdiabeticretinopathylesionsbyhighspeedultrawidefieldsweptsourceopticalcoherencetomographyangiography AT lenghongmei differentscanareasaffectthedetectionratesofdiabeticretinopathylesionsbyhighspeedultrawidefieldsweptsourceopticalcoherencetomographyangiography AT wangyiya differentscanareasaffectthedetectionratesofdiabeticretinopathylesionsbyhighspeedultrawidefieldsweptsourceopticalcoherencetomographyangiography AT chensizhu differentscanareasaffectthedetectionratesofdiabeticretinopathylesionsbyhighspeedultrawidefieldsweptsourceopticalcoherencetomographyangiography AT zhangruifan differentscanareasaffectthedetectionratesofdiabeticretinopathylesionsbyhighspeedultrawidefieldsweptsourceopticalcoherencetomographyangiography AT zengyong differentscanareasaffectthedetectionratesofdiabeticretinopathylesionsbyhighspeedultrawidefieldsweptsourceopticalcoherencetomographyangiography AT wangmin differentscanareasaffectthedetectionratesofdiabeticretinopathylesionsbyhighspeedultrawidefieldsweptsourceopticalcoherencetomographyangiography AT lijie differentscanareasaffectthedetectionratesofdiabeticretinopathylesionsbyhighspeedultrawidefieldsweptsourceopticalcoherencetomographyangiography AT zhongjie differentscanareasaffectthedetectionratesofdiabeticretinopathylesionsbyhighspeedultrawidefieldsweptsourceopticalcoherencetomographyangiography |