OCT Segmentation Errors with Bruch's Membrane Opening-Minimum Rim Width as Compared with Retinal Nerve Fiber Layer Thickness

IF 2.8 Q1 OPHTHALMOLOGY
Hongli Yang PhD, Jack P. Rees BA, Facundo G. Sanchez MD, Stuart K. Gardiner PhD, Steven L. Mansberger MD, MPH
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Abstract

Objective

To compare the magnitude and location of automated segmentation errors of the Bruch’s membrane opening-minimum rim width (BMO-MRW) and retinal nerve fiber layer thickness (RNFLT).

Design

Cross-sectional study.

Participants

We included 162 glaucoma suspect or open-angle glaucoma eyes from 162 participants.

Methods

We used spectral-domain optic coherence tomography (Spectralis 870 nm, Heidelberg Engineering) to image the optic nerve with 24 radial optic nerve head B-scans and a 12-degree peripapillary circle scan, and exported the native “automated segmentation only” results for BMO-MRW and RNFLT. We also exported the results after “manual refinement” of the measurements.

Main Outcome Measures

We calculated the absolute and proportional error globally and within the 12 30-degree sectors of the optic disc. We determined whether the glaucoma classifications were different between BMO-MRW and RNFLT as a result of manual and automatic segmentation.

Results

The absolute error mean was larger for BMO-MRW than for RNFLT (10.8 μm vs. 3.58 μm, P < 0.001). However, the proportional errors were similar (4.3% vs. 4.4%, P = 0.47). In a multivariable regression model, errors in BMO-MRW were not significantly associated with age, location, magnitude, or severity of glaucoma loss (all P ≥ 0.05). However, larger RNFLT errors were associated with the superior and inferior sector location, thicker nerve fiber layer, and worse visual field (all P < 0.05). Errors in BMO-MRW and RNFLT were not likely to occur in the same sector location (R2 = 0.001; P = 0.15). With manual refinement, the glaucoma classification changed in 7.8% and 6.2% of eyes with BMO-MRW and RNFLT, respectively.

Conclusions

Both BMO-MRW and RNFLT measurements included segmentation errors, which did not seem to have a common location, and may result in differences in glaucoma classification.

Financial Disclosure(s)

Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

与视网膜神经纤维层厚度相比,基底膜开口-最小边缘宽度的光学相干断层扫描分割误差。
目的比较布氏膜开口-最小边缘宽度(BMO-MRW)和视网膜神经纤维层厚度(RNFLT)自动分割误差的大小和位置:横断面研究:我们纳入了来自 162 名参与者的 162 只青光眼疑似眼或开角型青光眼眼:我们使用光谱域光学相干断层成像仪(Spectralis 870 nm,海德堡工程公司,德国海德堡)对视神经进行成像,包括 24 个径向视神经头 B 扫描和 12 度毛细血管周围圆扫描,并导出 BMO-MRW 和 RNFLT 的 "仅自动分割 "原始结果。我们还导出了 "手动细化 "测量后的结果:我们计算了全球和视盘 12 个 30 度扇区内的绝对误差和比例误差。我们确定了 BMO-MRW 和 RNFLT 的青光眼分类是否因手动和自动分割而有所不同:BMO-MRW的绝对误差平均值大于RNFLT(10.8μm vs. 3.58μm,p2=0.001;p=0.15)。通过人工细化,分别有 7.8% 和 6.2% 的眼睛的 BMO-MRW 和 RNFLT 的青光眼分类发生了变化:结论:BMO-MRW 和 RNFLT 测量都包含分割误差,这些误差似乎没有共同的位置,可能导致青光眼分类的差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Ophthalmology. Glaucoma
Ophthalmology. Glaucoma OPHTHALMOLOGY-
CiteScore
4.80
自引率
6.90%
发文量
140
审稿时长
46 days
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