• 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

利用频域光学相干断层扫描检测青光眼进展。

Detection of glaucomatous progression by spectral-domain optical coherence tomography.

机构信息

Department of Ophthalmology, College of Medicine, University of Ulsan, Asan Medical Center, Seoul, Korea.

出版信息

Ophthalmology. 2013 Jul;120(7):1388-95. doi: 10.1016/j.ophtha.2012.12.014. Epub 2013 Mar 6.

DOI:10.1016/j.ophtha.2012.12.014
PMID:23474248
Abstract

PURPOSE

To compare the rate of change of circumpapillary retinal nerve fiber layer (cRNFL) thickness, macular volume and thickness, and optic nerve head (ONH) parameters assessed using spectral-domain optical coherence tomography (SD-OCT) between eyes with progressing and nonprogressing glaucoma.

DESIGN

Longitudinal, observational study.

PARTICIPANTS

Two hundred seventy-nine eyes from 162 glaucoma patients followed for an average of 2.2 years.

METHODS

Eyes were classified as progressors and nonprogressors according to assessment of optic disc and RNFL photographs and visual field progression analysis. Linear mixed effects models were used to evaluate the overall rate of change of cRNFL thickness, macular volume and thickness, and ONH parameters after adjustment for age, spherical equivalent, signal strength, and baseline SD-OCT measurements.

MAIN OUTCOME MEASURES

The rate of change of cRNFL thickness, macular volume, and thickness and ONH parameters.

RESULTS

Sixty-three eyes (22.6%) from 52 subjects were identified as progressors. Average, inferior quadrant, and 6- and 7-o'clock sector cRNFL thickness decreased faster in progressors than in nonprogressors (-1.26 vs -0.94, -2.47 vs -1.75, -3.60 vs -2.52, and -2.77 vs -1.51 μm/year, respectively; all P<0.05). The ONH rim area decreased faster, and average and vertical cup-to-disc ratio increased faster in progressors than in nonprogressors (-0.016 vs -0.006 mm(2)/year, and 0.004 vs 0.002 and 0.006 vs 0.004 per year, respectively; all P<0.05). Macular cube volume and the thickness of temporal outer and inferior inner macular sectors decreased faster in progressors than in nonprogressors (-0.068 vs -0.048 mm(3)/year, and -2.27 vs -1.67 and -2.51 vs -1.73 μm/year, respectively; all P<0.05).

CONCLUSIONS

Serial measurement of parameters in all 3 areas (cRNFL, macula, and ONH) by SD-OCT may permit identification of progression in glaucomatous eyes.

FINANCIAL DISCLOSURE(S): The authors have no proprietary or commercial interest in any of the materials discussed in this article.

摘要

目的

比较使用谱域光学相干断层扫描(SD-OCT)评估的进展性和非进展性青光眼眼中的环周视网膜神经纤维层(cRNFL)厚度、黄斑体积和厚度以及视盘参数的变化率。

设计

纵向观察性研究。

参与者

162 例青光眼患者的 279 只眼,平均随访 2.2 年。

方法

根据视盘和 RNFL 照片评估和视野进展分析,将眼分为进展性和非进展性。使用线性混合效应模型,在调整年龄、等效球镜、信号强度和基线 SD-OCT 测量值后,评估 cRNFL 厚度、黄斑体积和厚度以及视盘参数的总体变化率。

主要观察指标

cRNFL 厚度、黄斑体积和厚度以及视盘参数的变化率。

结果

52 名受试者中有 63 只眼(22.6%)被确定为进展性。进展组的平均、下象限和 6 点和 7 点扇形 cRNFL 厚度比非进展组下降更快(-1.26 对-0.94、-2.47 对-1.75、-3.60 对-2.52 和-2.77 对-1.51μm/年,均 P<0.05)。进展组的视盘边缘面积下降更快,平均和垂直杯盘比增加更快(-0.016 对-0.006mm2/年,0.004 对 0.002 和 0.006 对 0.004 年,均 P<0.05)。进展组的黄斑立方体积和颞外侧和下内侧黄斑区厚度下降更快(-0.068 对-0.048mm3/年,-2.27 对-1.67 和-2.51 对-1.73μm/年,均 P<0.05)。

结论

SD-OCT 对所有 3 个区域(cRNFL、黄斑和视盘)的参数进行连续测量,可能有助于识别青光眼眼的进展。

金融披露

作者在本文讨论的任何材料中均无专有或商业利益。

相似文献

1
Detection of glaucomatous progression by spectral-domain optical coherence tomography.利用频域光学相干断层扫描检测青光眼进展。
Ophthalmology. 2013 Jul;120(7):1388-95. doi: 10.1016/j.ophtha.2012.12.014. Epub 2013 Mar 6.
2
Macular and retinal nerve fiber layer thickness: which is more helpful in the diagnosis of glaucoma?黄斑和视网膜神经纤维层厚度:哪个对青光眼的诊断更有帮助?
Invest Ophthalmol Vis Sci. 2011 Oct 11;52(11):8094-101. doi: 10.1167/iovs.11-7833.
3
Progression detection capability of macular thickness in advanced glaucomatous eyes.高级青光眼眼中黄斑厚度的进展检测能力。
Ophthalmology. 2012 Feb;119(2):308-13. doi: 10.1016/j.ophtha.2011.08.022. Epub 2011 Dec 17.
4
Differentiation of compressive from glaucomatous optic neuropathy with spectral-domain optical coherence tomography.频域光学相干断层扫描鉴别压迫性与青光眼性视神经病变。
Ophthalmology. 2014 Aug;121(8):1516-23. doi: 10.1016/j.ophtha.2014.02.020. Epub 2014 Apr 13.
5
Macular ganglion cell layer imaging in preperimetric glaucoma with speckle noise-reduced spectral domain optical coherence tomography.用斑点噪声减少的谱域光学相干断层扫描技术在周边视野青光眼前期进行黄斑神经节细胞层成像。
Ophthalmology. 2011 Dec;118(12):2414-26. doi: 10.1016/j.ophtha.2011.06.015. Epub 2011 Sep 15.
6
Trend-based analysis of retinal nerve fiber layer thickness measured by optical coherence tomography in eyes with localized nerve fiber layer defects.基于光学相干断层扫描测量的局限性神经纤维层缺损眼中视网膜神经纤维层厚度的趋势分析。
Invest Ophthalmol Vis Sci. 2011 Feb 28;52(2):1138-44. doi: 10.1167/iovs.10-5975.
7
Retinal nerve fiber layer imaging with spectral-domain optical coherence tomography: a prospective analysis of age-related loss.频域光学相干断层扫描的视网膜神经纤维层成像:与年龄相关的损失的前瞻性分析。
Ophthalmology. 2012 Apr;119(4):731-7. doi: 10.1016/j.ophtha.2011.10.010. Epub 2012 Jan 20.
8
Glaucoma diagnostic capabilities of optic nerve head parameters as determined by Cirrus HD optical coherence tomography.Cirrus HD 光学相干断层扫描仪测量的视神经头参数对青光眼的诊断能力。
J Glaucoma. 2012 Sep;21(7):498-504. doi: 10.1097/IJG.0b013e318220dbb7.
9
Can Macula and Optic Nerve Head Parameters Detect Glaucoma Progression in Eyes with Advanced Circumpapillary Retinal Nerve Fiber Layer Damage?黄斑和视神经头参数能否检测到有广泛的环周视网膜神经纤维层损伤的眼中青光眼的进展?
Ophthalmology. 2018 Dec;125(12):1907-1912. doi: 10.1016/j.ophtha.2018.05.020. Epub 2018 Jun 19.
10
Comparison of different spectral domain optical coherence tomography scanning areas for glaucoma diagnosis.不同光谱域光相干断层扫描区域在青光眼诊断中的比较。
Ophthalmology. 2010 Sep;117(9):1692-9, 1699.e1. doi: 10.1016/j.ophtha.2010.01.031. Epub 2010 May 20.

引用本文的文献

1
Comparison of glaucoma progression rate in glaucoma patients at different stages using guided progression analysis with optical coherence tomography.使用光学相干断层扫描引导进展分析比较不同阶段青光眼患者的青光眼进展率。
BMC Ophthalmol. 2025 Jan 2;25(1):1. doi: 10.1186/s12886-024-03837-4.
2
Detecting Visual Field Worsening From Optic Nerve Head and Macular Optical Coherence Tomography Thickness Measurements.通过视神经乳头和黄斑光学相干断层扫描厚度测量检测视野恶化
Transl Vis Sci Technol. 2024 Aug 1;13(8):12. doi: 10.1167/tvst.13.8.12.
3
Rates of retinal nerve fiber layer loss in early-stage pseudoexfoliation and primary open-angle glaucoma patients using optical coherence tomography.
应用光学相干断层扫描评估早期原发性开角型青光眼与假性剥脱综合征患者的视网膜神经纤维层丢失率。
Int Ophthalmol. 2024 Jun 21;44(1):250. doi: 10.1007/s10792-024-03214-6.
4
Artifact Correction in Retinal Nerve Fiber Layer Thickness Maps Using Deep Learning and Its Clinical Utility in Glaucoma.基于深度学习的视网膜神经纤维层厚度图的伪影校正及其在青光眼临床中的应用。
Transl Vis Sci Technol. 2023 Nov 1;12(11):12. doi: 10.1167/tvst.12.11.12.
5
Clinical Applications of Artificial Intelligence in Glaucoma.人工智能在青光眼领域的临床应用
J Ophthalmic Vis Res. 2023 Feb 21;18(1):97-112. doi: 10.18502/jovr.v18i1.12730. eCollection 2023 Jan-Mar.
6
Optical Coherence Tomography Retinal Nerve Fibre Layer and Ganglion Cell Complex Measurements in Normal Southern Nigerian Eyes.尼日利亚南部正常眼睛的光学相干断层扫描视网膜神经纤维层和神经节细胞复合体测量
Cureus. 2022 Dec 29;14(12):e33101. doi: 10.7759/cureus.33101. eCollection 2022 Dec.
7
Quantifying biomarkers of axonal degeneration in early glaucoma to find the disc at risk.定量检测早期青光眼的轴突变性生物标志物,以发现处于风险中的视盘。
Sci Rep. 2022 Jun 7;12(1):9366. doi: 10.1038/s41598-022-12036-4.
8
Relationship between structural and functional changes in glaucomatous eyes: a multifocal electroretinogram study.青光眼眼中结构和功能变化的关系:多焦视网膜电图研究。
BMC Ophthalmol. 2021 Aug 21;21(1):305. doi: 10.1186/s12886-021-02061-8.
9
Optical Coherence Tomography and Glaucoma.光学相干断层扫描与青光眼。
Annu Rev Vis Sci. 2021 Sep 15;7:693-726. doi: 10.1146/annurev-vision-100419-111350. Epub 2021 Jul 9.
10
Deep learning in glaucoma with optical coherence tomography: a review.基于光学相干断层扫描的青光眼深度学习:综述
Eye (Lond). 2021 Jan;35(1):188-201. doi: 10.1038/s41433-020-01191-5. Epub 2020 Oct 7.