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糖尿病性黄斑水肿患者光学相干断层扫描血管造影图像中的逐步分割误差校正

Stepwise segmentation error correction in optical coherence tomography angiography images of patients with diabetic macular edema.

作者信息

Ghasemi Falavarjani Khalil, Mirshahi Reza, Ghasemizadeh Shahriar, Sardarinia Mahsa

机构信息

Eye Research Center, The Five Senses Institute, Rassoul Akram Hospital, Iran University of Medical Sciences, Tehran, Iran.

Eye Research Center, The Five Senses Institute, Rassoul Akram Hospital, Iran University of Medical Sciences, Sattarkhan-Niaiesh St, Tehran, 1445613131, Iran.

出版信息

Ther Adv Ophthalmol. 2020 Aug 27;12:2515841420947931. doi: 10.1177/2515841420947931. eCollection 2020 Jan-Dec.

DOI:10.1177/2515841420947931
PMID:32923938
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7457684/
Abstract

AIM

To determine the minimum number of optical coherence tomography B-scan corrections required to provide acceptable vessel density measurements on optical coherence tomography angiography images in eyes with diabetic macular edema.

METHODS

In this prospective, noninterventional case series, the optical coherence tomography angiography images of eyes with center-involving diabetic macular edema were assessed. Optical coherence tomography angiography imaging was performed using RTVue Avanti spectral-domain optical coherence tomography system with the AngioVue software (V.2017.1.0.151; Optovue, Fremont, CA, USA). Segmentation error was recorded and manually corrected in the inner retinal layers in the central foveal, 100th and 200th optical coherence tomography B-scans. The segmentation error correction was then continued until all optical coherence tomography B-scans in whole en face image were corrected. At each step, the manual correction of each optical coherence tomography B-scan was propagated to whole image. The vessel density and retinal thickness were recorded at baseline and after each optical coherence tomography B-scan correction.

RESULTS

A total of 36 eyes of 26 patients were included. To achieve full segmentation error correction in whole en face image, an average of 1.72 ± 1.81 and 5.57 ± 3.87 B-scans was corrected in inner plexiform layer and outer plexiform layer, respectively. The change in the vessel density measurements after complete segmentation error correction was statistically significant after inner plexiform layer correction. However, no statistically significant change in vessel density was found after manual correction of the outer plexiform layer. The vessel density measurements were statistically significantly different after single central foveal B-scan correction of inner plexiform layer compared with the baseline measurements ( = 0.03); however, it remained unchanged after further segmentation corrections of inner plexiform layer.

CONCLUSION

Multiple optical coherence tomography B-scans should be manually corrected to address segmentation error in whole images of en face optical coherence tomography angiography in eyes with diabetic macular edema. Correction of central foveal B-scan provides the most significant change in vessel density measurements in eyes with diabetic macular edema.

摘要

目的

确定在患有糖尿病性黄斑水肿的眼睛的光学相干断层扫描血管造影图像上,为获得可接受的血管密度测量值所需的光学相干断层扫描B扫描校正的最少次数。

方法

在这个前瞻性、非干预性病例系列中,对患有累及中心的糖尿病性黄斑水肿的眼睛的光学相干断层扫描血管造影图像进行评估。使用配备AngioVue软件(版本2017.1.0.151;Optovue,美国加利福尼亚州弗里蒙特)的RTVue Avanti光谱域光学相干断层扫描系统进行光学相干断层扫描血管造影成像。记录中央凹、第100次和第200次光学相干断层扫描B扫描中视网膜内层的分割误差并进行手动校正。然后继续进行分割误差校正,直到整个正面图像中的所有光学相干断层扫描B扫描都得到校正。在每个步骤中,将每次光学相干断层扫描B扫描的手动校正扩展到整个图像。在基线以及每次光学相干断层扫描B扫描校正后记录血管密度和视网膜厚度。

结果

共纳入26例患者的36只眼睛。为了在整个正面图像中实现完全的分割误差校正,在内网状层和外网状层中分别平均校正了1.72±1.81次和5.57±3.87次B扫描。在内网状层校正后,完全分割误差校正后血管密度测量值的变化具有统计学意义。然而,在外网状层手动校正后,未发现血管密度有统计学意义的变化。与基线测量值相比,内网状层单次中央凹B扫描校正后血管密度测量值有统计学显著差异(P = 0.03);然而,在内网状层进一步分割校正后,其保持不变。

结论

对于患有糖尿病性黄斑水肿的眼睛,应手动校正多次光学相干断层扫描B扫描,以解决正面光学相干断层扫描血管造影全图像中的分割误差。中央凹B扫描的校正可使患有糖尿病性黄斑水肿的眼睛的血管密度测量值发生最显著的变化。

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