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使用半自动和手动分割方法测量脉络膜厚度的比较。

Comparison of Choroidal Thickness Measurements Using Semiautomated and Manual Segmentation Methods.

作者信息

Zhao Mei, Alonso-Caneiro David, Lee Roger, Cheong Allen M Y, Yu Wing-Yan, Wong Ho-Yin, Lam Andrew K C

机构信息

Centre for Myopia Research, School of Optometry, The Hong Kong Polytechnic University, Hong Kong, China.

Contact Lens and Visual Optics Laboratory, School of Optometry and Vision Science, Queensland University of Technology, Brisbane, Queensland, Australia.

出版信息

Optom Vis Sci. 2020 Feb;97(2):121-127. doi: 10.1097/OPX.0000000000001473.

Abstract

SIGNIFICANCE

This study demonstrated that a semiautomated segmentation method could help inexperienced practitioners to obtain choroidal thickness as good as experienced practitioners.

PURPOSE

The purpose of this study was to compare choroidal thickness measurements obtained by semiautomated and manual segmentation methods.

METHODS

Optical coherence tomography images of 37 eyes from 37 healthy young subjects acquired by a spectral-domain optical coherence tomography device were reviewed retrospectively. Two naive examiners measured choroidal thickness using manual and semiautomated methods, whereas two experienced examiners used only the semiautomated method. The semiautomated method referred to a fully automated segmentation program customized based on MATLAB and followed manual verification. After highlighting the inner and outer choroidal boundaries through automated segmentation, examiners reviewed these boundaries in each B-scan and conducted manual revisions if segmentation errors occurred. After selecting points where correct boundary was located, the software used a spline fit to blend the corrected region with the rest of the boundary. All measurements were summarized in a 6-mm Early Treatment Diabetic Retinopathy Study grid. Operation time spent to complete retinal and choroidal segmentation on each eye was recorded. Between-examiner agreements, that is, intraclass correlation coefficient and coefficient of reproducibility (CoR), were calculated among four sets of semiautomated measurements, and within-examiner agreements were comparisons between manual and semiautomated results from the same naive examiners. Eyes with thin or thick choroids were also analyzed separately.

RESULTS

The between-examiner and within-examiner agreements were excellent with intraclass correlation coefficient of 0.976 or greater. Pairwise within-examiner CoRs ranged from 17.4 to 47.1 μm. Pairwise between-examiner CoRs were between 13.0 and 38.9 μm. Eyes with thin choroid had better agreements than those with thick choroids. On average, naive examiners saved 3 to 5 minutes per eye using the semiautomated method.

CONCLUSIONS

With the help of a dedicated software, inexperienced practitioners could obtain choroidal thickness measurements with accuracy similar to experienced practitioners. Processing time with the semiautomated method was also reduced.

摘要

意义

本研究表明,一种半自动分割方法可帮助经验不足的从业者获得与经验丰富的从业者一样好的脉络膜厚度测量结果。

目的

本研究的目的是比较通过半自动和手动分割方法获得的脉络膜厚度测量值。

方法

回顾性分析了37名健康年轻受试者的37只眼睛的光谱域光学相干断层扫描图像,这些图像由光谱域光学相干断层扫描设备采集。两名没有经验的检查者使用手动和半自动方法测量脉络膜厚度,而两名经验丰富的检查者仅使用半自动方法。半自动方法指的是基于MATLAB定制的全自动分割程序,并经过手动验证。通过自动分割突出显示脉络膜的内边界和外边界后,检查者在每个B扫描中查看这些边界,并在出现分割错误时进行手动修正。在选择正确边界所在的点后,软件使用样条拟合将校正区域与边界的其余部分融合。所有测量结果汇总在一个6毫米的早期糖尿病视网膜病变研究网格中。记录完成每只眼睛的视网膜和脉络膜分割所花费的操作时间。在四组半自动测量结果之间计算检查者间一致性,即组内相关系数和重复性系数(CoR),检查者内一致性是指同一名没有经验的检查者手动和半自动结果之间的比较。还分别分析了脉络膜薄或厚的眼睛。

结果

检查者间和检查者内一致性极佳,组内相关系数为0.976或更高。检查者内两两CoR范围为17.4至47.1μm。检查者间两两CoR在13.0至38.9μm之间。脉络膜薄的眼睛比脉络膜厚的眼睛一致性更好。平均而言,没有经验的检查者使用半自动方法每只眼睛节省3至5分钟。

结论

在专用软件的帮助下,经验不足的从业者可以获得与经验丰富的从业者相似精度的脉络膜厚度测量结果。半自动方法的处理时间也减少了。

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