Suppr超能文献

黄斑神经节细胞和视网膜神经纤维层分析的诊断分类:从青光眼区分假阳性。

Diagnostic classification of macular ganglion cell and retinal nerve fiber layer analysis: differentiation of false-positives from glaucoma.

机构信息

Department of Ophthalmology, Seoul National University College of Medicine, Seoul, Korea; Department of Ophthalmology, Seoul National University Hospital, Seoul, Korea.

Department of Ophthalmology, Seoul National University College of Medicine, Seoul, Korea; Department of Ophthalmology, Seoul National University Hospital, Seoul, Korea.

出版信息

Ophthalmology. 2015 Mar;122(3):502-10. doi: 10.1016/j.ophtha.2014.09.031. Epub 2014 Nov 14.

Abstract

PURPOSE

To investigate the rate and associated factors of false-positive diagnostic classification of ganglion cell analysis (GCA) and retinal nerve fiber layer (RNFL) maps, and characteristic false-positive patterns on optical coherence tomography (OCT) deviation maps.

DESIGN

Prospective, cross-sectional study.

PARTICIPANTS

A total of 104 healthy eyes of 104 normal participants.

METHODS

All participants underwent peripapillary and macular spectral-domain (Cirrus-HD, Carl Zeiss Meditec Inc, Dublin, CA) OCT scans. False-positive diagnostic classification was defined as yellow or red color-coded areas for GCA and RNFL maps. Univariate and multivariate logistic regression analyses were used to determine associated factors. Eyes with abnormal OCT deviation maps were categorized on the basis of the shape and location of abnormal color-coded area. Differences in clinical characteristics among the subgroups were compared.

MAIN OUTCOME MEASURES

(1) The rate and associated factors of false-positive OCT maps; (2) patterns of false-positive, color-coded areas on the GCA deviation map and associated clinical characteristics.

RESULTS

Of the 104 healthy eyes, 42 (40.4%) and 32 (30.8%) showed abnormal diagnostic classifications on any of the GCA and RNFL maps, respectively. Multivariate analysis revealed that false-positive GCA diagnostic classification was associated with longer axial length and larger fovea-disc angle, whereas longer axial length and smaller disc area were associated with abnormal RNFL maps. Eyes with abnormal GCA deviation map were categorized as group A (donut-shaped round area around the inner annulus), group B (island-like isolated area), and group C (diffuse, circular area with an irregular inner margin in either). The axial length showed a significant increasing trend from group A to C (P=0.001), and likewise, the refractive error was more myopic in group C than in groups A (P=0.015) and B (P=0.014). Group C had thinner average ganglion cell-inner plexiform layer thickness compared with other groups (group A=B>C, P=0.004).

CONCLUSIONS

Abnormal OCT diagnostic classification should be interpreted with caution, especially in eyes with long axial lengths, large fovea-disc angles, and small optic discs. Our findings suggest that the characteristic patterns of OCT deviation map can provide useful clues to distinguish glaucomatous changes from false-positive findings.

摘要

目的

研究神经节细胞分析(GCA)和视网膜神经纤维层(RNFL)图假阳性诊断分类的发生率及其相关因素,以及光学相干断层扫描(OCT)偏差图上特征性的假阳性模式。

设计

前瞻性、横断面研究。

参与者

共纳入 104 名正常参与者的 104 只健康眼。

方法

所有参与者均接受了周边和黄斑谱域(Cirrus-HD,Carl Zeiss Meditec Inc,Dublin,CA)OCT 扫描。将 GCA 和 RNFL 图的黄色或红色编码区域定义为假阳性诊断分类。使用单变量和多变量逻辑回归分析来确定相关因素。根据异常彩色编码区域的形状和位置,将 OCT 偏差图异常的眼分为不同亚组。比较亚组间临床特征的差异。

主要观察指标

(1)假 OCT 图的发生率及其相关因素;(2)GCA 偏差图上假阳性、彩色编码区域的模式及其相关临床特征。

结果

在 104 只健康眼中,分别有 42 只(40.4%)和 32 只(30.8%)眼的任何 GCA 和 RNFL 图显示出异常的诊断分类。多变量分析显示,假阳性 GCA 诊断分类与较长的眼轴长度和较大的视盘-黄斑角有关,而较长的眼轴长度和较小的视盘面积与异常的 RNFL 图有关。GCA 偏差图异常的眼分为 A 组(内环周围的环形圆形区域)、B 组(孤立的岛状区域)和 C 组(弥漫性、圆形区域,内缘不规则)。从 A 组到 C 组,眼轴长度呈显著增加趋势(P=0.001),同样,C 组的屈光不正比 A 组(P=0.015)和 B 组(P=0.014)更近视。与其他组相比,C 组的平均神经节细胞-内丛状层厚度更薄(A 组=B>C,P=0.004)。

结论

对于眼轴较长、视盘-黄斑角较大和视盘较小的患者,应谨慎解读 OCT 异常诊断分类。我们的研究结果表明,OCT 偏差图的特征性模式可以提供有用的线索,以区分青光眼改变和假阳性发现。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验