• 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

一种用于检测圆锥角膜的定量角膜地形图指数。

A quantitative corneal topography index for detection of keratoconus.

作者信息

Dastjerdi M H, Hashemi H

机构信息

Noor Eye Clinic, Tehran, Iran.

出版信息

J Refract Surg. 1998 Jul-Aug;14(4):427-36. doi: 10.3928/1081-597X-19980701-09.

DOI:10.3928/1081-597X-19980701-09
PMID:9699167
Abstract

BACKGROUND

Detection of keratoconus has become a critical issue in patients who are potential candidates for refractive surgical procedures. In eyes with early stages of keratoconus, slit-lamp corneal changes are either absent or too subtle for detection, and keratometry may be normal. Videokeratography systems have greater sensitivity for detection of such cases, but interpretation of the topographic map is sometimes difficult, especially when pathologies with similar topographic patterns are suspected. We introduce an index using corneal topography for detection of keratoconus.

METHODS

From March 1994 to December 1995, a total of 513 unoperated eyes, with no pathology other than keratoconus, from 283 consecutive patients were categorized into three groups based on slit-lamp examination and corneal topographic findings. Those with clinically obvious keratoconus were placed in the first group (53 eyes [10.3%]), those with keratoconus suspect comprised the second group (17 eyes [3.3%]), and the third group was that of normal eyes (443 eyes [86.4%]). In all videokeratographs of these eyes, the highest rate of corneal power changes (in diopters per millimeter) away from the apex (the point of maximum power) to the periphery was measured along its semimeridian. This index, called the "highest rate of steepening (HRS)", was statistically analyzed in the three groups.

RESULTS

The mean +/- SD of highest rate of steepening was 3.60 +/- 1.70 D/mm (range 1.59 to 7.53 D/mm) in the clinically obvious keratoconus group, 1.59 +/- 0.21 D/mm (range 1.35 to 1.98 D/mm) in the keratoconus suspect group, and 0.72 +/- 0.31 D/mm (range 0.18 to 1.63 D/mm) in normal eyes. There was a highly statistically significant difference in the means of highest rate of steepening in the three groups (p < 0.0001). A small overlap in the highest rate of steepening ranges was shown among the three groups. Considering the first and second groups as cases of keratoconus, and 1.40 D/mm as the optimum cut-off value for highest rate of steepening, a sensitivity of 95.7% (67 out of 70 cases were detected), a specificity of 96.4% (16 false-positive cases), and an accuracy of 96.3% was obtained.

CONCLUSION

The highest rate of steepening may be a useful measure for keratoconus screening with videokeratography. Validation is needed to evaluate its accuracy.

摘要

背景

圆锥角膜的检测已成为屈光手术潜在候选患者的关键问题。在圆锥角膜早期阶段的眼睛中,裂隙灯检查发现角膜没有变化或变化过于细微难以察觉,角膜曲率计测量结果可能正常。视频角膜地形图系统对这类病例的检测具有更高的灵敏度,但地形图的解读有时会很困难,尤其是当怀疑存在具有相似地形图模式的病变时。我们引入一种利用角膜地形图检测圆锥角膜的指标。

方法

从1994年3月至1995年12月,对283例连续患者的513只未经手术的眼睛进行研究,这些眼睛除圆锥角膜外无其他病变。根据裂隙灯检查和角膜地形图结果,将这些眼睛分为三组。临床诊断为明显圆锥角膜的患者归入第一组(53只眼[10.3%]),疑似圆锥角膜的患者归入第二组(17只眼[3.3%]),第三组为正常眼睛(443只眼[86.4%])。在所有这些眼睛的视频角膜地形图中,沿着角膜子午线测量从角膜顶点(屈光力最大的点)到周边角膜屈光力变化的最高速率(以每毫米屈光度为单位)。这个指标,称为“最高变陡率(HRS)”,在三组中进行了统计学分析。

结果

明显圆锥角膜组最高变陡率的平均值±标准差为3.60±1.70 D/mm(范围1.59至7.53 D/mm),疑似圆锥角膜组为1.59±0.21 D/mm(范围1.35至1.98 D/mm),正常眼睛组为0.72±0.31 D/mm(范围0.18至1.63 D/mm)。三组最高变陡率的平均值差异具有高度统计学意义(p < 0.0001)。三组之间最高变陡率范围存在小部分重叠。将第一组和第二组视为圆锥角膜病例,以1.40 D/mm作为最高变陡率的最佳截断值,灵敏度为95.7%(70例中有67例被检测到),特异性为96.4%(16例假阳性病例),准确率为96.3%。

结论

最高变陡率可能是视频角膜地形图筛查圆锥角膜的一个有用指标。需要进行验证以评估其准确性。

相似文献

1
A quantitative corneal topography index for detection of keratoconus.一种用于检测圆锥角膜的定量角膜地形图指数。
J Refract Surg. 1998 Jul-Aug;14(4):427-36. doi: 10.3928/1081-597X-19980701-09.
2
KISA% index: a quantitative videokeratography algorithm embodying minimal topographic criteria for diagnosing keratoconus.KISA%指数:一种体现诊断圆锥角膜最小地形学标准的定量角膜地形图算法。
J Cataract Refract Surg. 1999 Oct;25(10):1327-35. doi: 10.1016/s0886-3350(99)00195-9.
3
[Corneal topography of keratoconus].[圆锥角膜的角膜地形图]
Klin Oczna. 1997;99(1):21-4.
4
Differentiating contact lens induced warpage from true keratoconus using corneal topography.使用角膜地形图鉴别隐形眼镜引起的角膜弯曲与真性圆锥角膜。
CLAO J. 1999 Apr;25(2):114-22.
5
Efficacy of axial and tangential corneal topography maps in detecting subclinical keratoconus.轴向和切向角膜地形图在检测亚临床圆锥角膜中的效能。
J Cataract Refract Surg. 2015 Oct;41(10):2205-14. doi: 10.1016/j.jcrs.2015.10.041.
6
Evaluation of keratoconus in Asians: role of Orbscan II and Tomey TMS-2 corneal topography.亚洲人圆锥角膜的评估:Orbscan II和Tomey TMS-2角膜地形图的作用。
Am J Ophthalmol. 2007 Mar;143(3):390-400. doi: 10.1016/j.ajo.2006.11.030. Epub 2006 Dec 21.
7
Accuracy of ultrasonic pachymetry and videokeratography in detecting keratoconus.超声角膜测厚术和角膜地形图在圆锥角膜检测中的准确性。
J Cataract Refract Surg. 1998 Feb;24(2):196-201. doi: 10.1016/s0886-3350(98)80200-9.
8
Predictive Analysis Between Topographic, Pachymetric and Wavefront Parameters in Keratoconus, Suspects and Normal Eyes: Creating Unified Equations to Evaluate Keratoconus.圆锥角膜、疑似圆锥角膜和正常眼睛的地形图、角膜厚度测量及波前参数之间的预测性分析:创建评估圆锥角膜的统一方程
Curr Eye Res. 2016;41(3):334-42. doi: 10.3109/02713683.2015.1015143. Epub 2015 Mar 24.
9
Use of a support vector machine for keratoconus and subclinical keratoconus detection by topographic and tomographic data.使用支持向量机通过地形和断层扫描数据检测圆锥角膜和亚临床圆锥角膜。
Ophthalmology. 2012 Nov;119(11):2231-8. doi: 10.1016/j.ophtha.2012.06.005. Epub 2012 Aug 11.
10
Vertical D: a novel topographic pattern in some keratoconus suspects.垂直D:圆锥角膜疑似患者中的一种新型地形图模式。
Ophthalmology. 2007 May;114(5):1020-6. doi: 10.1016/j.ophtha.2006.10.022. Epub 2007 Feb 8.

引用本文的文献

1
Diagnosis of Subclinical Keratoconus Based on Machine Learning Techniques.基于机器学习技术的亚临床圆锥角膜诊断
J Clin Med. 2021 Sep 21;10(18):4281. doi: 10.3390/jcm10184281.
2
Keratoconus Screening Based on Deep Learning Approach of Corneal Topography.基于角膜地形深度学习方法的圆锥角膜筛查。
Transl Vis Sci Technol. 2020 Sep 25;9(2):53. doi: 10.1167/tvst.9.2.53. eCollection 2020 Sep.
3
Template-based correction of high-order aberration in keratoconus.基于模板的圆锥角膜高阶像差校正
Optom Vis Sci. 2013 Apr;90(4):324-34. doi: 10.1097/OPX.0b013e318288c2b1.
4
A new, pachymetry-based approach for diagnostic cutoffs for normal, suspect and keratoconic cornea.一种新的、基于角膜厚度的方法,用于正常、疑似和圆锥角膜的诊断临界值。
Eye (Lond). 2012 May;26(5):650-7. doi: 10.1038/eye.2011.365. Epub 2012 Jan 27.