Anterior segment optical coherence tomography angiography for iris vasculature in pigmented eyes

医学 光学相干断层摄影术 IRIS(生物传感器) 光学相干层析成像 眼科 核医学 人工智能 计算机科学 生物识别
作者
Marcus Ang,Kavya Devarajan,Anna Cs Tan,Mengyuan Ke,Bingyao Tan,Kaiying Teo,Chelvin C. A. Sng,Daniel Shu Wei Ting,Leopold Schmetterer
出处
期刊:British Journal of Ophthalmology [BMJ]
卷期号:105 (7): 929-934 被引量:13
标识
DOI:10.1136/bjophthalmol-2020-316930
摘要

Purpose To compare anterior segment optical coherence tomography angiography (AS-OCTA) systems in delineating normal iris vessels and iris neovascularisation (NVI) in eyes with pigmented irides. Methods Prospective study from January 2019 to June 2019 of 10 consecutive patients with normal pigmented iris, had AS-OCTA scans with a described illumination technique, before using the same protocol in five eyes with NVI (clinical stages 1–3). All scans were sequentially performed using a spectral-domain OCTA (SD-OCTA), and a swept-source OCTA (SS-OCTA, Plex Elite 9000). Images were graded by two masked observers for visibility, artefacts and NVI characteristics. The main outcome measure was iris vessel density measurements comparing SS-OCTA and SD-OCTA systems. Results The median age of subjects was 28 (20–35) years, and 50% were female. The paired mean difference of iris vessel density measurements was 11.7 (95% CI 14.7 to 8.1; p=0.002), SS-OCTA detecting more vessels than SD-OCTA. The inter-rater reliability for artefact score (κ=0.799, p<0.001) and visibility score (κ=0.722; p<0.001) were substantial. Both AS-OCTA systems were able to detect NVI vessels with a fair agreement (κ=0.588), with clearer NVI characteristics in stage 1/2 compared to stage 3 NVI (mean difference NVI score: 2.7±0.4, p=0.009). Conclusion The SS-OCTA was better able to delineate iris vessels in normal pigmented irides compared to SD-OCTA. Both AS-OCTA systems identified NVI characteristics based on its atypical configuration or location, but further improvements are needed to allow for more accurate objective, serial quantification for clinical use.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
杨咩咩完成签到,获得积分10
1秒前
1秒前
庄周完成签到 ,获得积分10
2秒前
调皮的曼安完成签到,获得积分10
2秒前
青苔完成签到 ,获得积分10
2秒前
会飞的生菜完成签到 ,获得积分10
3秒前
11完成签到,获得积分10
3秒前
爱炸鸡也爱烧烤完成签到 ,获得积分10
4秒前
5秒前
三四月完成签到 ,获得积分10
5秒前
爆米花应助来生缘采纳,获得30
5秒前
6秒前
Jessie完成签到 ,获得积分10
8秒前
agui完成签到 ,获得积分10
8秒前
鱼可完成签到 ,获得积分10
9秒前
11秒前
11秒前
12秒前
Mangues发布了新的文献求助30
12秒前
13秒前
15秒前
动听驳完成签到,获得积分10
15秒前
小蜜蜂发布了新的文献求助10
16秒前
来生缘发布了新的文献求助30
16秒前
健忘绿凝完成签到,获得积分10
17秒前
耄耋完成签到 ,获得积分10
17秒前
年轻南烟发布了新的文献求助10
18秒前
little完成签到 ,获得积分10
19秒前
充电宝应助友好太兰采纳,获得10
20秒前
yoyo完成签到 ,获得积分10
20秒前
自在随欣完成签到 ,获得积分10
22秒前
23秒前
影像大侠完成签到 ,获得积分10
23秒前
小吕不到一米八完成签到 ,获得积分10
24秒前
粗心的画板完成签到 ,获得积分10
24秒前
光坠星海完成签到 ,获得积分10
24秒前
小叶子的太阳完成签到,获得积分10
25秒前
26秒前
酷奔完成签到 ,获得积分10
27秒前
Violet完成签到 ,获得积分10
27秒前
高分求助中
液晶指向矢仿真分析数据集 8888
GL 2 A method for assessing the in-place cleanability of food processing equipment, Fourth Edition, December 2023 3000
Invited Discussant 63O and 64O 1000
Ideology and Meaning-Making under the Putin Regime 750
Advanced Memory Technology 500
Petrology and Plate Tectonics 500
Writing Systems 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 计算机科学 化学工程 生物化学 物理 内科学 复合材料 催化作用 光电子学 物理化学 电极 细胞生物学 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6863856
求助须知:如何正确求助?哪些是违规求助? 8566753
关于积分的说明 18216098
捐赠科研通 6231884
什么是DOI,文献DOI怎么找? 3048584
关于科研通互助平台的介绍 2049853
邀请新用户注册赠送积分活动 2026293