Optical coherence tomography for glaucoma diagnosis: An evidence based meta-analysis.
Optical coherence tomography for glaucoma diagnosis: An evidence based meta-analysis.
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DOI：
10.1371/journal.pone.0190621
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发表时间：
2018
期刊：
影响因子：
3.7
通讯作者：
Hutnik C
中科院分区：
文献类型：
--
作者：
Kansal V;Armstrong JJ;Pintwala R;Hutnik C
早期发现，监测和了解视网膜的变化是诊断青光眼视神经病变的核心，对于减少这种进行性疾病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（Zeiss Stratus, Zeiss Cirrus， Heidelberg Spectralis和Optovue RTVue以及Topcon 3D-OCT）对青光眼的诊断准确性。150项研究报告了16,104只青光眼和11543只正常眼睛。在2017年1月至2017年2月期间，检索了MEDLINE®、EMBASE®、CINAHL®、Cochrane Library®、Web of Science®和BIOSIS®，以评估上述OCT设备诊断青光眼的准确性。对所有设备的受试者工作特征曲线（AUROC）估计值下的面积进行荟萃分析，并按OCT类型（RNFL、黄斑）和成像面积进行分层。150项研究包括16,104只青光眼和11,543只正常对照眼。主要发现：所有青光眼患者RNFL诊断的AUROC平均值为0.897 （0.887-0.906,n = 16,782例眼），黄斑神经节细胞复体（GCC）诊断的AUROC平均值为0.885 （0.869-0.901,n = 4841例眼），黄斑神经节细胞内丛状层（GCIPL）诊断的AUROC平均值为0.858 （0.835-0.880,n = 4211例眼），黄斑总厚度诊断的AUROC平均值为0.795 （0.754-0.834,n = 1063例眼）。所有5种OCT设备的分类能力相似。在青光眼严重程度增加的患者中，auroc诊断更有利。RNFL和分节黄斑区（GCIPL， GCC）扫描的诊断准确性相似且高于黄斑总厚度。本研究提供了一个现代证据的综合与强大的纳入标准和大样本量的特点。这些发现可以为临床医生在这个快速发展的诊断领域提供指导。
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.
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DOI：
10.14740/jocmr2643w
发表时间：
2016-09
期刊：
Journal of clinical medicine research
影响因子：
--
作者：
Ahmed S;Khan Z;Si F;Mao A;Pan I;Yazdi F;Tsertsvadze A;Hutnik C;Moher D;Tingey D;Trope GE;Damji KF;Tarride JE;Goeree R;Hodge W
通讯作者：
Hodge W
技术和青光眼嫌疑人。
影响因子：
4.4
作者：
Blumberg DM;De Moraes CG;Liebmann JM;Garg R;Chen C;Theventhiran A;Hood DC
通讯作者：
Hood DC
影响因子：
4.2
作者：
Asaoka, Ryo;Hirasawa, Kazunori;Araie, Makoto
通讯作者：
Araie, Makoto
影响因子：
4.4
作者：
Bourne, RRA;Medeiros, FA;Weinreb, RN
通讯作者：
Weinreb, RN
影响因子：
4.4
作者：
Ajtony, Csilla;Balla, Zsolt;Kovacs, Balint
通讯作者：
Kovacs, Balint