• 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

评价一种用于检测视交叉和视交叉后病变引起的视野缺损的算法:神经病学视野测试。

Evaluation of an algorithm for detecting visual field defects due to chiasmal and postchiasmal lesions: the neurological hemifield test.

机构信息

Glaucoma Center of Excellence, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA.

出版信息

Invest Ophthalmol Vis Sci. 2011 Oct 10;52(11):7959-65. doi: 10.1167/iovs.11-7868.

DOI:10.1167/iovs.11-7868
PMID:21896843
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3207952/
Abstract

PURPOSE

To develop an automated neurologic hemifield test (NHT) to detect visual field loss caused by chiasmal or postchiasmal lesions.

METHODS

Visual field locations from 24-2 pattern automated visual fields were grouped into two symmetric regions with 16 points on either side of the vertical meridian. A scoring system similar to the Glaucoma Hemifield Test (GHT) was used to calculate point scores using the pattern deviation values from the right and left regions. The cross-vertical difference in the sum of these values was the NHT score. The NHT was evaluated using visual fields from subjects with known neurologic disease, subjects with glaucoma, and glaucoma suspects (92 pairs of eyes each). The NHT score was calculated for each eye. Four masked reviewers scored all pairs of visual fields with regard to the likelihood of neurologic and glaucomatous optic neuropathy. Both NHT score and expert field ratings were compared with clinical diagnosis by receiver operating characteristic (ROC) analysis.

RESULTS

The NHT effectively discriminated neurologic fields from those of glaucoma patients and glaucoma suspects (area under the ROC curve [AUC] = 0.90; 95% confidence interval [CI], 0.86-0.94). The NHT score correlated well with clinician grading (Pearson correlation estimates, 0.74-0.78). Even when field defects were subtle, the NHT had some ability to discriminate neurologic from nonneurologic fields (AUC 0.68; 95% CI, 0.56-0.79).

CONCLUSIONS

The NHT distinguished neurologic field defects from those of glaucoma and glaucoma suspects, rivaling the performance of subspecialist clinicians. Its implementation may help identify unsuspected neurologic disease.

摘要

目的

开发一种自动化的神经视野测试(NHT),以检测视交叉或视交叉后病变引起的视野缺失。

方法

将 24-2 模式自动视野的视野位置分为两个对称区域,每个区域在垂直子午线的两侧有 16 个点。使用类似于青光眼半视野测试(GHT)的评分系统,使用右侧和左侧区域的模式偏差值计算点评分。这些值的总和的纵横差就是 NHT 评分。使用已知神经疾病患者、青光眼患者和青光眼疑似患者的视野(每组 92 对眼睛)评估 NHT。计算每只眼睛的 NHT 评分。四名盲法评审员根据神经和青光眼视神经病变的可能性对所有配对视野进行评分。通过接收者操作特性(ROC)分析比较 NHT 评分和专家视野评分与临床诊断的关系。

结果

NHT 能够有效地将神经视野与青光眼患者和青光眼疑似患者的视野区分开来(ROC 曲线下面积 [AUC] = 0.90;95%置信区间 [CI],0.86-0.94)。NHT 评分与临床医生分级相关性良好(Pearson 相关估计值,0.74-0.78)。即使视野缺陷很细微,NHT 也有一定的能力将神经与非神经视野区分开来(AUC 为 0.68;95%CI,0.56-0.79)。

结论

NHT 能够区分神经视野缺陷与青光眼和青光眼疑似患者的视野缺陷,与专科临床医生的表现相当。它的实施可能有助于发现未被怀疑的神经疾病。

相似文献

1
Evaluation of an algorithm for detecting visual field defects due to chiasmal and postchiasmal lesions: the neurological hemifield test.评价一种用于检测视交叉和视交叉后病变引起的视野缺损的算法:神经病学视野测试。
Invest Ophthalmol Vis Sci. 2011 Oct 10;52(11):7959-65. doi: 10.1167/iovs.11-7868.
2
Development and validation of an improved neurological hemifield test to identify chiasmal and postchiasmal lesions by automated perimetry.开发并验证了一种改良的神经视野测试,通过自动视野计来识别视交叉和视交叉后的病变。
Invest Ophthalmol Vis Sci. 2014 Feb 20;55(2):1017-23. doi: 10.1167/iovs.13-13702.
3
Diagnostic ability of retinal nerve fiber layer thickness measurements and neurologic hemifield test to detect chiasmal compression.视盘神经纤维层厚度测量和神经视野测试对视交叉受压的诊断能力。
Invest Ophthalmol Vis Sci. 2012 Aug 9;53(9):5410-5. doi: 10.1167/iovs.12-9905.
4
Neurological Hemifield Test in Binasal Defects.双眼鼻侧缺损的神经半视野测试
Invest Ophthalmol Vis Sci. 2015 Apr;56(4):2568-9. doi: 10.1167/iovs.15-16656.
5
Author Response: Neurological Hemifield Test in Binasal Defects.作者回复:双鼻侧缺损的神经半视野测试。
Invest Ophthalmol Vis Sci. 2015 Apr;56(4):2570. doi: 10.1167/iovs.15-16824.
6
Scanning laser polarimetry using variable corneal compensation in the detection of glaucoma with localized visual field defects.使用可变角膜补偿的扫描激光偏振仪在检测伴有局限性视野缺损的青光眼方面的应用。
Ophthalmology. 2005 Nov;112(11):1970-8. doi: 10.1016/j.ophtha.2005.06.023. Epub 2005 Sep 26.
7
Identifying glaucomatous vision loss with visual-function-specific perimetry in the diagnostic innovations in glaucoma study.在青光眼研究的诊断创新中,通过具有视觉功能特异性的视野检查来识别青光眼性视力丧失。
Invest Ophthalmol Vis Sci. 2006 Aug;47(8):3381-9. doi: 10.1167/iovs.05-1546.
8
Suprathreshold static perimetry in glaucoma and other optic nerve disease.青光眼及其他视神经疾病中的超阈值静态视野检查
Ophthalmology. 1979 Jul;86(7):1278-86. doi: 10.1016/s0161-6420(79)35399-4.
9
Assessing Precision of Hodapp-Parrish-Anderson Criteria for Staging Early Glaucomatous Damage in an Ocular Hypertension Cohort: A Retrospective Study.评估霍达普-帕里什-安德森标准在高眼压症队列中分期早期青光眼性损害的准确性:一项回顾性研究。
Asia Pac J Ophthalmol (Phila). 2017 Jan-Feb;6(1):21-27. doi: 10.1097/APO.0000000000000201.
10
Comparing multifocal VEP and standard automated perimetry in high-risk ocular hypertension and early glaucoma.高危眼压升高和早期青光眼患者的多焦视觉诱发电位与标准自动视野计比较
Invest Ophthalmol Vis Sci. 2007 Mar;48(3):1173-80. doi: 10.1167/iovs.06-0561.

引用本文的文献

1
Quantitative Analysis of the Displacement of the Anterior Visual Pathway by Pituitary Lesions and the Associated Visual Field Loss.垂体病变对前视觉通路移位及相关视野缺损的定量分析
Invest Ophthalmol Vis Sci. 2016 Jul 1;57(8):3576-80. doi: 10.1167/iovs.16-19410.
2
Development and validation of an improved neurological hemifield test to identify chiasmal and postchiasmal lesions by automated perimetry.开发并验证了一种改良的神经视野测试,通过自动视野计来识别视交叉和视交叉后的病变。
Invest Ophthalmol Vis Sci. 2014 Feb 20;55(2):1017-23. doi: 10.1167/iovs.13-13702.

本文引用的文献

1
Evaluation of a combined index of optic nerve structure and function for glaucoma diagnosis.评估视神经结构和功能的综合指数在青光眼诊断中的应用。
BMC Ophthalmol. 2011 Feb 11;11:6. doi: 10.1186/1471-2415-11-6.
2
Trained artificial neural network for glaucoma diagnosis using visual field data: a comparison with conventional algorithms.使用视野数据训练的用于青光眼诊断的人工神经网络:与传统算法的比较。
J Glaucoma. 2007 Jan;16(1):20-8. doi: 10.1097/IJG.0b013e31802b34e4.
3
Categorizing the stage of glaucoma from pre-diagnosis to end-stage disease.对青光眼从预诊断到终末期疾病的阶段进行分类。
Am J Ophthalmol. 2006 Jan;141(1):24-30. doi: 10.1016/j.ajo.2005.07.044.
4
ROCR: visualizing classifier performance in R.ROCR:在R语言中可视化分类器性能
Bioinformatics. 2005 Oct 15;21(20):3940-1. doi: 10.1093/bioinformatics/bti623. Epub 2005 Aug 11.
5
Neural networks for visual field analysis: how do they compare with other algorithms?用于视野分析的神经网络:它们与其他算法相比如何?
J Glaucoma. 1999 Feb;8(1):77-80.
6
Interpretation of automated perimetry for glaucoma by neural network.通过神经网络对青光眼自动视野检查结果的解读。
Invest Ophthalmol Vis Sci. 1994 Aug;35(9):3362-73.
7
Repeatability of the Glaucoma Hemifield Test in automated perimetry.青光眼半视野检测在自动视野计检查中的可重复性
Invest Ophthalmol Vis Sci. 1995 Jul;36(8):1658-64.
8
Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach.比较两条或多条相关的受试者工作特征曲线下的面积:一种非参数方法。
Biometrics. 1988 Sep;44(3):837-45.
9
Evaluation of methods for automated Hemifield analysis in perimetry.视野检查中自动半视野分析方法的评估
Arch Ophthalmol. 1992 Jun;110(6):820-6. doi: 10.1001/archopht.1992.01080180092034.
10
Glaucoma Hemifield Test. Automated visual field evaluation.青光眼半视野检测。自动视野评估。
Arch Ophthalmol. 1992 Jun;110(6):812-9. doi: 10.1001/archopht.1992.01080180084033.