Kansal Vinay, Armstrong James J, Pintwala Robert, Hutnik Cindy
University of Saskatchewan, Department of Ophthalmology, Saskatoon, Canada.
Western University Canada, Faculty of Medicine, London, Canada.
PLoS One. 2018 Jan 4;13(1):e0190621. doi: 10.1371/journal.pone.0190621. eCollection 2018.
Early detection, monitoring and understanding of changes in the retina are central to the diagnosis of glaucomatous optic neuropathy, and vital to reduce visual loss from this progressive condition. The main objective of this investigation was to compare glaucoma diagnostic accuracy of commercially available optical coherence tomography (OCT) devices (Zeiss Stratus, Zeiss Cirrus, Heidelberg Spectralis and Optovue RTVue, and Topcon 3D-OCT).
16,104 glaucomatous and 11,543 normal eyes reported in 150 studies.
Between Jan. 2017 and Feb 2017, MEDLINE®, EMBASE®, CINAHL®, Cochrane Library®, Web of Science®, and BIOSIS® were searched for studies assessing glaucoma diagnostic accuracy of the aforementioned OCT devices. Meta-analysis was performed pooling area under the receiver operating characteristic curve (AUROC) estimates for all devices, stratified by OCT type (RNFL, macula), and area imaged.
150 studies with 16,104 glaucomatous and 11,543 normal control eyes were included. Key findings: AUROC of glaucoma diagnosis for RNFL average for all glaucoma patients was 0.897 (0.887-0.906, n = 16,782 patient eyes), for macula ganglion cell complex (GCC) was 0.885 (0.869-0.901, n = 4841 eyes), for macula ganglion cell inner plexiform layer (GCIPL) was 0.858 (0.835-0.880, n = 4211 eyes), and for total macular thickness was 0.795 (0.754-0.834, n = 1063 eyes).
The classification capability was similar across all 5 OCT devices. More diagnostically favorable AUROCs were demonstrated in patients with increased glaucoma severity. Diagnostic accuracy of RNFL and segmented macular regions (GCIPL, GCC) scans were similar and higher than total macular thickness. This study provides a synthesis of contemporary evidence with features of robust inclusion criteria and large sample size. These findings may provide guidance to clinicians when navigating this rapidly evolving diagnostic area characterized by numerous options.
早期检测、监测并了解视网膜变化是青光眼性视神经病变诊断的核心,对于减少这种进行性疾病导致的视力丧失至关重要。本研究的主要目的是比较市售光学相干断层扫描(OCT)设备(蔡司Stratus、蔡司Cirrus、海德堡Spectralis、欧堡RTVue和拓普康3D-OCT)对青光眼的诊断准确性。
150项研究中报告的16104只青光眼患眼和11543只正常眼。
在2017年1月至2017年2月期间,检索MEDLINE®、EMBASE®、CINAHL®、Cochrane图书馆®、科学引文索引®和BIOSIS®,以查找评估上述OCT设备对青光眼诊断准确性的研究。进行荟萃分析,汇总所有设备的受试者工作特征曲线下面积(AUROC)估计值,按OCT类型(视网膜神经纤维层、黄斑)和成像区域分层。
纳入了150项研究,其中有16104只青光眼患眼和11543只正常对照眼。主要发现:所有青光眼患者视网膜神经纤维层平均青光眼诊断AUROC为0.897(0.887 - 0.906,n = 1,6782只患眼),黄斑神经节细胞复合体(GCC)为0.885(0.869 - 0.901,n = 4841只眼),黄斑神经节细胞内丛状层(GCIPL)为0.858(0.835 - 0.880,n = 4211只眼),黄斑总厚度为0.795(0.754 - 0.834,n = 1063只眼)。
所有5种OCT设备的分类能力相似。青光眼严重程度增加的患者表现出更有利于诊断的AUROC。视网膜神经纤维层和黄斑分段区域(GCIPL、GCC)扫描的诊断准确性相似且高于黄斑总厚度。本研究综合了当代证据,具有严格的纳入标准和大样本量的特点。这些发现可能为临床医生在这个以众多选择为特征的快速发展的诊断领域中提供指导。