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基于超高分辨率光学相干断层扫描的角膜上皮厚度测绘区分圆锥角膜眼和正常眼。

Distinguishing Keratoconic Eyes and Healthy Eyes Using Ultrahigh-Resolution Optical Coherence Tomography-Based Corneal Epithelium Thickness Mapping.

机构信息

Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.

Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria.

出版信息

Am J Ophthalmol. 2018 May;189:47-54. doi: 10.1016/j.ajo.2018.02.006. Epub 2018 Feb 16.

DOI:10.1016/j.ajo.2018.02.006
PMID:29458037
Abstract

PURPOSE

To find differences in epithelial thickness (ET) maps of eyes with keratoconus (KC) and healthy eyes.

DESIGN

Institutional cross-sectional study.

METHODS

In this study 40 keratoconic eyes and 76 healthy eyes were scanned using a custom-built ultrahigh-resolution optical coherence tomography system. Automated segmentation ET maps with 17 subsectors were calculated (central, temporal inferior, temporal superior, nasal inferior, and nasal superior area). The thinnest point of the epithelium (minET), the thickest point of the epithelium (maxET), and the thinnest point diagonally opposing the thickest point (ET) were additional parameters. Ratios were calculated as follows: minET/diagonally opposing point (R), maxET/diagonally opposing point (R), inferior temporal area/superior nasal area (R), and inferior/superior hemisphere (R). Furthermore, collected parameters were analyzed regarding their diagnostic accuracy (area under the curve; AUC).

RESULTS

Statistically significant differences were as follows: central ET, 46.25 ± 2.56/50.91 ± 1.66; minET, 38.50 ± 2.10/46.79 ± 1.27; ET, 47.14 ± 2.45/49.60 ± 1.57; temporal inferior area: 43.93 ± 2.95/51.04 ± 1.51 (all mean ± standard deviation, μm); R, 0.76 ± 0.09/0.93 ± 0.04; R, 1.08 ± 0.04/1.21 ± 0.16; R, 0.85 ± 0.08/1.02 ± 0.04; R: 0.92 ± 0.07/0.99 ± 0.02. AUC values were R: 0.979 (confidence interval [CI]: 0.957-1.000), R: 0.977 (CI: 0.951-1.000), and minET: 0.928 (CI: 0.880-0.977).

CONCLUSIONS

Epithelial thickness maps could clearly visualize different ET patterns. Parameters with the highest potential of diagnostic discrimination between eyes with KC and healthy eyes were, in descending order, R, R, and minET. Consequently, epithelial thickness irregularity and asymmetry seem to be the most promising diagnostic factor in terms of discriminating between keratoconic eyes and healthy eyes.

摘要

目的

寻找圆锥角膜(KC)眼和正常眼的上皮厚度(ET)图的差异。

设计

机构横断面研究。

方法

本研究使用定制的超高分辨率光相干断层扫描系统对 40 只圆锥角膜眼和 76 只正常眼进行了扫描。计算了 17 个子区的自动分割 ET 图(中央、颞下、颞上、鼻下和鼻上区域)。上皮最薄点(minET)、上皮最厚点(maxET)和与最厚点对角相对的最薄点(ET)为其他参数。计算了以下比值:minET/对角相对点(R)、maxET/对角相对点(R)、颞下区/鼻上区(R)和下/上半球(R)。此外,还分析了所收集的参数的诊断准确性(曲线下面积;AUC)。

结果

统计学上有显著差异:中央 ET,46.25 ± 2.56/50.91 ± 1.66;minET,38.50 ± 2.10/46.79 ± 1.27;ET,47.14 ± 2.45/49.60 ± 1.57;颞下区:43.93 ± 2.95/51.04 ± 1.51(均为平均值 ± 标准差,μm);R,0.76 ± 0.09/0.93 ± 0.04;R,1.08 ± 0.04/1.21 ± 0.16;R,0.85 ± 0.08/1.02 ± 0.04;R:0.92 ± 0.07/0.99 ± 0.02。AUC 值为 R:0.979(置信区间[CI]:0.957-1.000)、R:0.977(CI:0.951-1.000)和 minET:0.928(CI:0.880-0.977)。

结论

上皮厚度图可以清楚地显示不同的 ET 模式。在 KC 眼和正常眼之间具有最高诊断区分潜力的参数依次为 R、R 和 minET。因此,上皮厚度的不规则性和不对称性似乎是区分圆锥角膜眼和正常眼最有前途的诊断因素。

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