Yusof Aimy Mastura Zurairah, Othman Othmaliza, Tang Seng Fai, Hassan Mohd Rohaizat, Din Norshamsiah Md
Department of Ophthalmology, Tuanku Mizan Armed Forces Hospital, Kuala Lumpur 53300, Malaysia.
Department of Ophthalmology, UKM Medical Center, Jalan Yaacob Latif, Cheras 56000, Kuala Lumpur, Malaysia.
Int J Ophthalmol. 2022 Nov 18;15(11):1782-1790. doi: 10.18240/ijo.2022.11.08. eCollection 2022.
To compare the diagnostic ability of glaucoma parameters measured by the optical coherence tomography (OCT) in normal, preperimetric glaucoma (PPG) and perimetric glaucoma (PG) patients.
This cross-sectional observational study includes 127 eyes of 127 subjects. Patients were divided into PPG (51 eyes), PG (46 eyes), and normal controls (30 eyes) based on clinical optic disc assessment and Humphrey visual field changes. The Heidelberg Spectralis OCT machine using Glaucoma Module Premium Edition software was used to measure the retinal nerve fiber layer (RNFL) and Bruch's membrane opening-minimum rim width (BMO-MRW) to assess the optic nerve head and ganglion cell layer (GCL) thickness in the macula.
RNFL, MRW, and GCL thickness were all significantly thinner in PG compared to PPG and the normal group. The BMO-MRW parameters showed better specificity (>70%) at 90% specificity compared to both RNFL and GCL parameters to discriminate normal, PPG, and PG patients. All BMO-MRW parameters showed higher area under curves (AUC) compared to RNFL and GCL parameters with the highest AUC observed in the superotemporal sector of the BMO-MRW (AUC=0.819 and and 0.897 between normal and PPG and PG groups respectively).
While the BMO-MRW best discriminates PPG and PG against normal eyes, GCL parameters poorly differentiate the three groups.
比较光学相干断层扫描(OCT)测量的青光眼参数在正常、视野缺损前期青光眼(PPG)和视野缺损期青光眼(PG)患者中的诊断能力。
这项横断面观察性研究纳入了127名受试者的127只眼睛。根据临床视盘评估和Humphrey视野变化,将患者分为PPG组(51只眼)、PG组(46只眼)和正常对照组(30只眼)。使用配备青光眼模块高级版软件的海德堡Spectralis OCT机器测量视网膜神经纤维层(RNFL)和布鲁赫膜开口最小边缘宽度(BMO-MRW),以评估视神经乳头和黄斑区神经节细胞层(GCL)厚度。
与PPG组和正常组相比,PG组的RNFL、MRW和GCL厚度均显著变薄。在区分正常、PPG和PG患者时,BMO-MRW参数在90%特异性时显示出比RNFL和GCL参数更好的特异性(>70%)。与RNFL和GCL参数相比,所有BMO-MRW参数的曲线下面积(AUC)更高,其中BMO-MRW颞上象限的AUC最高(正常组与PPG组和PG组之间的AUC分别为0.819和0.897)。
虽然BMO-MRW在区分PPG和PG与正常眼方面表现最佳,但GCL参数在区分这三组时效果不佳。