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。

IF 2.8 Q1 OPHTHALMOLOGY

Ophthalmology. Glaucoma Pub Date : 2024-05-01 DOI:10.1016/j.ogla.2023.12.002

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

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引用次数: 0

摘要

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。

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

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.