亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Eye Shape Deformity Predicts Myopic Maculopathy Progression among Highly Myopic Individuals:A 4-Year Longitudinal Study

黄斑病 眼科 医学 验光服务 视网膜病变 糖尿病 内分泌学
作者
Cong Li,Huawang Wu,Xiao Ou,Ruilin Xiong,Xinxing Guo,Yanxian Chen,Qiuxia Yin,Mingguang He,Zhixi Li
出处
期刊:Retina-the Journal of Retinal and Vitreous Diseases [Ovid Technologies (Wolters Kluwer)]
卷期号:45 (1): 52-60
标识
DOI:10.1097/iae.0000000000004281
摘要

Purpose: To determine the impact of eye shape using three-dimensional magnetic resonance imaging on myopic maculopathy (MM) progression. Methods: At baseline, 67 participants with high myopia were selected. Eye shape was classified into spheroidal, ellipsoidal, temporally distorted, nasally distorted, conical, and barrel-shape identified from three-dimensional magnetic resonance imaging. Spheroidal and ellipsoidal shapes were defined as nondeformity; others were defined as eye deformity. Myopic maculopathy progression was determined through color fundus photography. Results: Within a 4-year follow-up, 17.1% (7/41) of patients with nondeformed eye shape had MM progression, whereas 69.2% (18/26) of patients with eye shape deformity had MM progression. In multivariable analysis, eye shape deformity (odds ratio, 4.35; 95% confidence interval, 1.10–17.29; P = 0.036) and axial length of ≥28 mm (odds ratio, 12.75; 95% confidence interval, 2.27–71.48; P = 0.004) significantly correlated with MM progression. The predictive discrimination of eye shape alone for MM progression did not differ from axial length (area under the curve: 0.765 vs. 0.750, P = 0.486). By incorporating age, sex, axial length, and eye shape, the prediction model achieved an area under the curve of 0.862 for discriminating MM progression. Conclusion: Eye shape deformity assessed by three-dimensional magnetic resonance imaging is a novel predictor for MM progression in high myopia.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
可爱的函函应助菠萝采纳,获得10
1秒前
余可馨发布了新的文献求助10
2秒前
5秒前
9秒前
科研通AI6应助余可馨采纳,获得10
11秒前
12秒前
菠萝发布了新的文献求助10
13秒前
UpLiu完成签到 ,获得积分10
26秒前
31秒前
40秒前
Jasper应助维颖采纳,获得10
43秒前
小花小宝和阿飞完成签到 ,获得积分10
48秒前
吴端完成签到,获得积分10
49秒前
贪玩老姆完成签到 ,获得积分10
54秒前
tj完成签到 ,获得积分10
59秒前
1分钟前
阳佟水蓉完成签到,获得积分10
1分钟前
1分钟前
所所应助zhvjdb采纳,获得10
1分钟前
1分钟前
1分钟前
1分钟前
维颖发布了新的文献求助10
1分钟前
科研通AI2S应助魏欣娜采纳,获得10
1分钟前
1分钟前
1分钟前
浮浮世世发布了新的文献求助10
1分钟前
1分钟前
浮游应助科研通管家采纳,获得10
1分钟前
CipherSage应助科研通管家采纳,获得10
1分钟前
嘻嘻哈哈应助科研通管家采纳,获得10
1分钟前
嘻嘻哈哈应助科研通管家采纳,获得10
1分钟前
爆米花应助科研通管家采纳,获得10
1分钟前
Cast_Lappland发布了新的文献求助10
1分钟前
1分钟前
Cast_Lappland完成签到,获得积分10
1分钟前
早川完成签到,获得积分10
2分钟前
2分钟前
科研通AI2S应助魏欣娜采纳,获得10
2分钟前
可爱的函函应助早川采纳,获得10
2分钟前
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
Iron toxicity and hematopoietic cell transplantation: do we understand why iron affects transplant outcome? 2000
List of 1,091 Public Pension Profiles by Region 1021
Teacher Wellbeing: Noticing, Nurturing, Sustaining, and Flourishing in Schools 1000
A Technologist’s Guide to Performing Sleep Studies 500
EEG in Childhood Epilepsy: Initial Presentation & Long-Term Follow-Up 500
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5482307
求助须知:如何正确求助?哪些是违规求助? 4583190
关于积分的说明 14388883
捐赠科研通 4512205
什么是DOI,文献DOI怎么找? 2472753
邀请新用户注册赠送积分活动 1459020
关于科研通互助平台的介绍 1432430