Miki Atsuya, Kumoi Miho, Usui Shinichi, Endo Takao, Kawashima Rumi, Morimoto Takeshi, Matsushita Kenji, Fujikado Takashi, Nishida Kohji
Department of Ophthalmology, Osaka University Graduate School of Medicine, Osaka, Japan.
J Glaucoma. 2017 Nov;26(11):995-1000. doi: 10.1097/IJG.0000000000000771.
To determine the prevalence of errors in segmentation of the peripapillary retinal nerve fiber layer (RNFL) and macular ganglion cell complex (GCC) boundary in spectral-domain optical coherence tomography (SDOCT) images, and to identify factors associated with the errors.
Peripapillary RNFL circle scans and macular 3-dimensional scans of consecutive cases imaged with SDOCT (RS-3000 Advance; Nidek, Gamagori, Japan) were retrospectively reviewed by a glaucoma specialist. Images with signal strength index (SSI)<6 were excluded. Threshold for segmentation failure was determined as 15 degrees in the RNFL scans and 1/24 of the scanned area in the GCC scans. Relationships between segmentation failure and clinical factors were statistically evaluated with univariable and multivariable analyses.
This retrospective cross-sectional study included 207 eyes of 117 subjects (mean age, 58.5±16.5 y). Segmentation failure was found in 20.7% of the peripapillary RNFL scans, 16.6% of the 9 mm GCC scans, and 6.9% of the 6 mm GCC scans in SDOCT images. In multivariable logistic regression analyses, low SSI, large disc area, and disease type significantly correlated with RNFL segmentation failure, whereas SSI was the only baseline factor that was significantly associated with GCC segmentation failure.
Although segmentation failure was common in both RNFL and GCC scans, it was less frequently observed in GCC scans. SSI, disc area, and disease type were significantly associated with segmentation failure. Predictive performance of baseline factors for failure was poor, underlining the importance of reviewing raw OCT images before using OCT parameters.
确定光谱域光学相干断层扫描(SDOCT)图像中视乳头周围视网膜神经纤维层(RNFL)和黄斑神经节细胞复合体(GCC)边界分割错误的发生率,并识别与这些错误相关的因素。
由一名青光眼专家对使用SDOCT(RS - 3000 Advance;日本Nidek公司,蒲郡市)成像的连续病例的视乳头周围RNFL环形扫描和黄斑三维扫描进行回顾性分析。排除信号强度指数(SSI)<6的图像。将RNFL扫描中分割失败的阈值确定为15度,GCC扫描中为扫描区域的1/24。采用单变量和多变量分析对分割失败与临床因素之间的关系进行统计学评估。
这项回顾性横断面研究纳入了117名受试者的207只眼(平均年龄58.5±16.5岁)。在SDOCT图像中,视乳头周围RNFL扫描的分割失败率为20.7%,9mm GCC扫描为16.6%,6mm GCC扫描为6.9%。在多变量逻辑回归分析中,低SSI、大视盘面积和疾病类型与RNFL分割失败显著相关,而SSI是与GCC分割失败显著相关的唯一基线因素。
虽然RNFL和GCC扫描中分割失败都很常见,但在GCC扫描中观察到的频率较低。SSI、视盘面积和疾病类型与分割失败显著相关。基线因素对分割失败的预测性能较差,这突出了在使用OCT参数之前查看原始OCT图像的重要性。