• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

范·赫里克技术在资源受限地区检测原发性闭角型青光眼疾病前期状态的诊断准确性

Diagnostic Accuracy of Van Herick Technique to Detect Pre-Disease States of Primary Angle Closure Glaucoma in a Resource Constraint Region.

作者信息

Choudhari Nikhil S, Chanda Sanjay, Khanna Rohit, Senthil Sirisha, Garudadri Chandra Sekhar

机构信息

a V S T Glaucoma Centre, Kallam Anji Reddy Campus , L V Prasad Eye Institute , Hyderabad , India.

b Edward and Soona Brown Eye Centre , L V Prasad Eye Institute , Sattenapalle , India.

出版信息

Ophthalmic Epidemiol. 2019 Jun;26(3):175-182. doi: 10.1080/09286586.2018.1562083. Epub 2019 Jan 8.

DOI:10.1080/09286586.2018.1562083
PMID:30616435
Abstract

OBJECTIVES

To critically evaluate diagnostic accuracy of the van Herick (vH) technique in detection of gonioscopically occludable angle in a rural population and to explore ways to improve accuracy of the technique Methods: The study cohort was formed by two-stage cluster random sampling. Peripheral anterior chamber depth grading was performed, using both traditional and modified (photographic comparison) vH techniques, under dark adapted and standard lighting conditions by a comprehensive ophthalmologist masked to the clinical features. The cut-off criterion for vH test was 25% of peripheral corneal thickness. The reference standard was dark room 4-mirror indentation gonioscopy performed by an experienced glaucoma specialist. This study adhered to the STARD guidelines for reporting diagnostic accuracy studies.

RESULTS

We studied 111 eyes of 111 participants. The median age was 62 years. The angle was occludable by gonioscopy in 69 (62%) eyes; 58 eyes were primary angle closure suspects and 11 were primary angle closure patients. The likelihood ratio (95% confidence interval (CI)) of the positive (LR+) and negative (LR‒) result by the traditional vH technique was 5.17 (2.43, 11) and 0.30 (0.20, 0.46), respectively. The LR+ by reducing and LR‒ by elevating the cut-off grade of the traditional vH technique were 9.4 (2.3, 37.4) and 0.08 (0.02, 0.31), respectively. The area under receiver operating characteristic curve did not differ significantly by photographic comparison or lighting condition (p = 0.13).

CONCLUSIONS

vH grading can be considered as a triage test before gonioscopy. The value of the vH technique to the diagnostic strategy is discussed.

摘要

目的

严格评估范赫里克(vH)技术在农村人群中检测前房角镜可关闭房角的诊断准确性,并探索提高该技术准确性的方法。方法:通过两阶段整群随机抽样形成研究队列。由一位对临床特征不知情的综合眼科医生,在暗适应和标准照明条件下,使用传统和改良(照片比较)vH技术进行周边前房深度分级。vH测试的截断标准为周边角膜厚度的25%。参考标准是由一位经验丰富的青光眼专家进行暗室四镜前房角镜检查。本研究遵循诊断准确性研究报告的STARD指南。

结果

我们研究了111名参与者的111只眼。中位年龄为62岁。前房角镜检查显示69只眼(62%)的房角可关闭;58只眼为原发性房角关闭疑似病例,11只眼为原发性房角关闭患者。传统vH技术阳性(LR+)和阴性(LR‒)结果的似然比(95%置信区间(CI))分别为5.17(2.43,11)和0.30(0.20,0.46)。通过降低传统vH技术的截断等级得到的LR+和通过提高截断等级得到的LR‒分别为9.4(2.3,37.4)和0.08(0.02,0.31)。通过照片比较或照明条件,受试者操作特征曲线下面积无显著差异(p = 0.13)。

结论

vH分级可被视为前房角镜检查前的分诊测试。讨论了vH技术对诊断策略的价值。

相似文献

1
Diagnostic Accuracy of Van Herick Technique to Detect Pre-Disease States of Primary Angle Closure Glaucoma in a Resource Constraint Region.范·赫里克技术在资源受限地区检测原发性闭角型青光眼疾病前期状态的诊断准确性
Ophthalmic Epidemiol. 2019 Jun;26(3):175-182. doi: 10.1080/09286586.2018.1562083. Epub 2019 Jan 8.
2
Combination of Simple Diagnostic Tests to Detect Primary Angle Closure Disease in a Resource-constrained Region.在资源受限地区采用联合简易诊断试验检测原发性闭角型青光眼
Ophthalmic Epidemiol. 2019 Dec;26(6):430-438. doi: 10.1080/09286586.2019.1650380. Epub 2019 Aug 7.
3
Comparison of the scanning peripheral anterior chamber depth analyzer and the modified van Herick grading system in the assessment of angle closure.扫描周边前房深度分析仪与改良van Herick分级系统在闭角评估中的比较
Ophthalmology. 2007 Mar;114(3):501-6. doi: 10.1016/j.ophtha.2006.08.019. Epub 2006 Nov 30.
4
LVPEI Glaucoma Epidemiology and Molecular Genetic Study: teleophthalmology screening for angle-closure disease in an underserved region.LVPEI 青光眼流行病学和分子遗传学研究:在服务不足地区进行闭角型青光眼的远程眼科筛查。
Eye (Lond). 2020 Aug;34(8):1399-1405. doi: 10.1038/s41433-019-0666-x. Epub 2019 Nov 6.
5
Noncontact Screening Methods for the Detection of Narrow Anterior Chamber Angles.检测窄前房角的非接触式筛查方法
Invest Ophthalmol Vis Sci. 2015 Jun;56(6):3929-35. doi: 10.1167/iovs.15-16727.
6
Non-contact tests for identifying people at risk of primary angle closure glaucoma.用于识别原发性闭角型青光眼高危人群的非接触式检测
Cochrane Database Syst Rev. 2020 May 28;5(5):CD012947. doi: 10.1002/14651858.CD012947.pub2.
7
The Handan Eye Study: comparison of screening methods for primary angle closure suspects in a rural Chinese population.邯郸眼病研究:中国农村人群原发性闭角型青光眼可疑患者筛查方法的比较
Ophthalmic Epidemiol. 2014 Aug;21(4):268-75. doi: 10.3109/09286586.2014.929707. Epub 2014 Jun 20.
8
Detection of gonioscopically occludable angles and primary angle closure glaucoma by estimation of limbal chamber depth in Asians: modified grading scheme.通过评估亚洲人角膜缘前房深度检测房角镜下可关闭房角和原发性闭角型青光眼:改良分级方案
Br J Ophthalmol. 2000 Feb;84(2):186-92. doi: 10.1136/bjo.84.2.186.
9
Risk Factors Associated with Missed Diagnoses of Narrow Angles by the Van Herick Technique.与 Van Herick 技术漏诊窄角相关的危险因素。
Ophthalmol Glaucoma. 2018 Sep-Oct;1(2):108-114. doi: 10.1016/j.ogla.2018.08.002. Epub 2018 Oct 12.
10
Evaluation of anterior chamber angle by van Herick grading and ultrasound biomicroscopy in light and dark conditions for finding appositional angle closure and plateau iris configuration.在明、暗两种条件下,通过 van Herick 分级和超声生物显微镜评估前房角,以发现房角关闭和房角平坦虹膜构型。
Acta Ophthalmol. 2021 Feb;99(1):e86-e95. doi: 10.1111/aos.14502. Epub 2020 Jun 22.

引用本文的文献

1
From 2 dimensions to 3rd dimension: Quantitative prediction of anterior chamber depth from anterior segment photographs via deep-learning.从二维到三维:通过深度学习从眼前节照片定量预测前房深度
PLOS Digit Health. 2023 Feb 1;2(2):e0000193. doi: 10.1371/journal.pdig.0000193. eCollection 2023 Feb.
2
Machine Learning-Guided Prediction of Central Anterior Chamber Depth Using Slit Lamp Images from a Portable Smartphone Device.基于便携智能手机裂隙灯图像的机器学习引导的中央前房深度预测
Biosensors (Basel). 2021 Jun 5;11(6):182. doi: 10.3390/bios11060182.
3
Non-contact tests for identifying people at risk of primary angle closure glaucoma.
用于识别原发性闭角型青光眼高危人群的非接触式检测
Cochrane Database Syst Rev. 2020 May 28;5(5):CD012947. doi: 10.1002/14651858.CD012947.pub2.