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应用 UHR-OCT 测量角膜垂直和水平厚度分布诊断可疑及亚临床圆锥角膜

Corneal Vertical and Horizontal Thickness Profiles Generated by UHR-OCT for Suspected and Subclinical Keratoconus Diagnosis.

出版信息

J Refract Surg. 2021 Jul;37(7):438-445. doi: 10.3928/1081597X-20210330-01. Epub 2021 Jul 1.

Abstract

PURPOSE

To verify the diagnostic power of vertical and horizontal thickness profiles of the corneal sublayers generated by ultra-high resolution optical coherence tomography (UHROCT) in subclinical and suspected keratoconus.

METHODS

In this cross-sectional study, 25 eyes with confirmed keratoconus, 63 eyes with suspected keratoconus, 15 eyes with subclinical keratoconus, and 42 normal eyes were investigated. Vertical and horizontal thickness profiles of the corneal epithelium, Bowman's layer, and stroma were measured by UHR-OCT. Diagnostic indices included ratios of thickness distribution and multimeric discriminant functions calculated by multiple logistic regression based on them. Receiver operating characteristic curves were used to verify the predictive accuracy by the area under the curve (AUC).

RESULTS

Function consisting of two indices (vertical maximum ectasia index of epithelium and horizontal maximum ectasia index of Bowman's layer) performed well to discriminate subclinical keratoconus (AUC = 0.967) and suspected keratoconus (AUC = 0.932) from normal. In addition, when four indices were combined, the diagnostic power for subclinical keratoconus (AUC = 0.984) and suspected keratoconus (AUC = 0.971) was further increased. However, both binary and quaternary functions could not adequately discriminate suspected from subclinical keratoconus.

CONCLUSIONS

UHR-OCT-generated thickness indices from the vertical and horizontal thickness profiles of the corneal epithelium and Bowman's layer showed an evident diagnostic efficacy in discriminating suspected and subclinical keratoconus from normal eyes. The early changes in keratoconus might prefer thickness distribution in corneal sublayers rather than corneal thickness or topography. .

摘要

目的

验证超高分辨率光学相干断层扫描(UHR-OCT)生成的角膜各层垂直和水平厚度剖面在亚临床和疑似圆锥角膜中的诊断能力。

方法

本横断面研究纳入了 25 只确诊圆锥角膜眼、63 只疑似圆锥角膜眼、15 只亚临床圆锥角膜眼和 42 只正常眼。通过 UHR-OCT 测量角膜上皮、Bowman 层和基质的垂直和水平厚度剖面。诊断指标包括基于这些指标的多元逻辑回归计算的厚度分布比和多聚判别函数。通过曲线下面积(AUC)使用受试者工作特征曲线来验证预测准确性。

结果

由两个指数(上皮垂直最大膨隆指数和 Bowman 层水平最大膨隆指数)组成的函数能够很好地区分亚临床圆锥角膜(AUC = 0.967)和疑似圆锥角膜(AUC = 0.932)与正常眼。此外,当结合四个指数时,对亚临床圆锥角膜(AUC = 0.984)和疑似圆锥角膜(AUC = 0.971)的诊断能力进一步提高。然而,二进制和四进制函数都不能充分区分疑似与亚临床圆锥角膜。

结论

角膜上皮和 Bowman 层垂直和水平厚度剖面的 UHR-OCT 生成的厚度指数在区分疑似和亚临床圆锥角膜与正常眼方面具有明显的诊断效力。圆锥角膜的早期变化可能更倾向于角膜各层的厚度分布,而不是角膜厚度或地形图。

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