眼科 ›› 2021, Vol. 30 ›› Issue (5): 343-348.doi: 10.13281/j.cnki.issn.1004-4469.2021.05.004

• 论著 • 上一篇    下一篇

相干光断层扫描对不同黄斑中心厚度的黄斑前膜中自动分割错误检出比较

霍妍佼  郭彦  杨丽红  魏文斌   

  1. 首都医科大学附属北京同仁医院  北京同仁眼科中心  眼科学与视觉科学北京市重点实验室 100730

  • 收稿日期:2020-11-27 出版日期:2021-09-25 发布日期:2021-09-24
  • 通讯作者: 魏文斌,Email:weiwenbintr@163.com
  • 基金资助:
    北京市属医院科研培育计划(PX2020010)

Auto segmentation errors of optical coherence tomography in epiretinal membrane with different central macular thicknesses

Huo Yanjiao, Guo Yan, Yang Lihong, Wei Wenbin   

  1. Beijing Tongren Eye Center, Beijing Key Laboratory of Ophthalmology and Visual Science, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China

  • Received:2020-11-27 Online:2021-09-25 Published:2021-09-24
  • Contact: Wei Wenbin, Email: weiwenbintr@163.com
  • Supported by:
    Beijing Municipal Administration of Hospitals Incubating Program (PX2020010)

摘要: 目的 观察高分辨率相干光断层扫描(HD-OCT)对不同黄斑中心厚度(CMT)的黄斑前膜(ERM)中的自动分割错误的检出情况。设计 诊断试验。究对象 2018年10月至2019年10月北京同仁医院ERM患者147例和原发性开角型青光眼(POAG)合并ERM患者32例。方法 所有患眼均行视力、眼压、裂隙灯显微镜、散瞳眼底、眼底彩色照相、共聚焦激光扫描检眼镜(cSLO)和HD-OCT检查。根据CMT将患眼分为A组(ERM患者且CMT≤450 μm,78眼)、B组(ERM患者且CMT>450 μm,69眼)、C组(POAG合并ERM者CMT≤450 μm,32眼)。两位临床医生阅读HD-OCT图像,判断三组患眼黄斑区自动断层的11个分层是否准确,统计自动分割错误。对比观察不同水肿程度ERM的自动分割错误及伴有或不伴有POAG的ERM自动分割错误检出,并进行统计比较。主要指标 分割错误检出率。结果 94/ 179眼(63.95%)出现HD-OCT的自动分割错误(A组37.18%、B组94.20%、C组40.63%)。在节细胞层、内丛状层、内核层和外丛状层,B组的分割错误发生率均明显高于A组(P均<0.001)。其余7层,两组之间的自动分割错误检出数均无显著差别(P均>0.05)。C组与A组在所有分割线的自动分割错误检出均无显著差异(P均>0.05)。结论 HD-OCT在ERM的扫描中易出现自动分割错误,主要发生在视网膜内层;伴有明显黄斑水肿的ERM者自动分割错误显著增加。(眼科, 2021, 30: 343-348)


关键词: 青光眼, 黄斑前膜, 自动分割错误, 相干光断层扫描

Abstract: Objective To observe auto segmentation error (Seg E) determined by high definition optical coherence tomography (HD-OCT) in epiretinal membrane (ERM) with different central macular thicknesses (CMT). Design Diagnostic test. Participants Subjects were recruited from October 2018 to October 2019 in Beijing Tongren Hospital who were detected in HD-OCT and diagnosed as ERM (147 patients) and ERM with primary open-angle glaucoma (POAG) (32 patients). Methods The photographs of ocular fundus including color fundus camera, confocal scanning laser ophthalmoscope (cSLO) imaging, and HD-OCT were analyzed. The subjects were divided into A group ( ERM with CMT≤450 μm, 78 eyes), B group(ERM with CMT>450 μm, 69 eyes), C group (ERM with POAG, CMT≤450 μm, 32 eyes). HD-OCT images were evaluated by two doctors to discriminate the accuracy of segmentation of 11 layers  macular area. The number of the auto Seg E was calculated in A, B and C group separately and compared. Main Outcome Measures The rate of Seg E of ERM. Results 94 auto Seg E of eyes were determined among 179 ERM subjects (63.95%) (A group 37.18%, B group 94.20%, C group 40.63%). The percent of Seg Es in ganglion cell layer, inner plexiform layer inner nuclear layer and outer plexiform layer in group B were significantly higher than that of group A (all P<0.001). In addition, in other layers in group B shows no obvious differences compared with in group A (all P>0.05). There were no significant differences in all layers between group A and group C (all P>0.05). Conclusion The Seg E was easily found in HD-OCT scans of ERM, it was mainly located in macular inner layers. Especially when ERM with obvious macular edema, the number of Seg Es was significantly increased. (Ophthalmol CHN, 2021, 30: 343-348)


Key words: glaucoma, epiretinal membrane, automated segmentation error, optical coherence tomography