Corneo-pterygium total area measurements utilising image analysis method

翼状胬肉 眼科 医学 角膜地形图 验光服务 角膜
作者
Hilmi Mohd Radzi,Mohd Kamal Khairidzan,Che Amin Mohd Zulfaezal,Esmady Ariffin Azrin
出处
期刊:Journal of Optometry [Elsevier BV]
卷期号:12 (4): 272-277 被引量:16
标识
DOI:10.1016/j.optom.2019.04.001
摘要

To describe an objective method to accurately quantify corneo-pterygium total area (CPTA) by utilising image analysis method and to evaluate its association with corneal astigmatism (CA). 120 primary pterygium participants were selected from patients who visited an ophthalmology clinic. We adopted image analysis software in calculating the size of invading pterygium to the cornea. The marking of the calculated area was done manually, and the total area size was measured in pixel. The computed area is defined as the area from the apex of pterygium to the limbal-corneal border. Then, from the pixel, it was transformed into a percentage (%), which represents the CPTA relative to the entire corneal surface area. Intra- and inter-observer reliability testing were performed by repeating the tracing process twice with a different sequence of images at least one (1) month apart. Intraclass correlation (ICC) and scatter plot were used to describe the reliability of measurement. The overall mean (N=120) of CPTA was 45.26±13.51% (CI: 42.38-48.36). Reliability for region of interest (ROI) demarcation of CPTA were excellent with intra and inter-agreement of 0.995 (95% CI, 0.994-0.998; P<0.001) and 0.994 (95% CI, 0.992-0.997; P<0.001) respectively. The new method was positively associated with corneal astigmatism (P<0.01). This method was able to predict 37% of the variance in CA compared to 21% using standard method. Image analysis method is useful, reliable and practical in the clinical setting to objectively quantify actual pterygium size, shapes and its effects on the anterior corneal curvature.
最长约 10秒,即可获得该文献文件

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
2秒前
3秒前
NexusExplorer应助Eeric采纳,获得10
3秒前
研友_LBKR9n完成签到,获得积分10
3秒前
小明完成签到,获得积分10
4秒前
SF完成签到,获得积分10
4秒前
单纯飞柏发布了新的文献求助10
5秒前
111发布了新的文献求助20
5秒前
小五发布了新的文献求助20
6秒前
shanbaibai发布了新的文献求助10
7秒前
科目三应助专一的鼠标采纳,获得10
8秒前
single完成签到,获得积分10
9秒前
大妙妙发布了新的文献求助10
9秒前
11秒前
11秒前
去田埂上等乌云完成签到 ,获得积分10
12秒前
西瓜西瓜发布了新的文献求助10
15秒前
浮光完成签到,获得积分10
16秒前
16秒前
万能图书馆应助刘刘采纳,获得10
17秒前
18秒前
田様应助闪闪连虎采纳,获得30
18秒前
科研通AI6.4应助00采纳,获得10
20秒前
Owen应助leaf采纳,获得20
21秒前
李健应助单纯飞柏采纳,获得10
21秒前
wangbq发布了新的文献求助10
22秒前
22秒前
22秒前
英俊的铭应助妞妞采纳,获得10
23秒前
酷波er应助仲商十七采纳,获得10
23秒前
李爱国应助pain采纳,获得10
23秒前
QY完成签到 ,获得积分10
24秒前
24秒前
天博发布了新的文献求助10
25秒前
25秒前
25秒前
26秒前
26秒前
福宝发布了新的文献求助10
27秒前
27秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Reducing Compassion Fatigue, Secondary Traumatic Stress and Burnout 600
Comparative Elite Sport Development Systems, Structures and Public Policy 600
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Auslegungsgeschichte 500
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
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 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7636309
求助须知:如何正确求助?哪些是违规求助? 9210128
关于积分的说明 19754837
捐赠科研通 7203974
什么是DOI,文献DOI怎么找? 3275401
关于科研通互助平台的介绍 2437198
邀请新用户注册赠送积分活动 2272516