For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
41
views
171
references
 Top references
cited by
31
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    0
    shares
      261
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Optical coherence tomography for glaucoma diagnosis: An evidence based meta-analysis

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Purpose

          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).

          Patients

          16,104 glaucomatous and 11,543 normal eyes reported in 150 studies.

          Methods

          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.

          Results

          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).

          Conclusion

          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.

          Related collections

          Most cited references171

          • Record: found
          • Abstract: found
          • Article: not found

          Glaucoma.

          Harry A. Quigley (2011)
          Most medical practitioners have regular contact with adults who have one of the two forms of glaucoma: open-angle glaucoma or angle-closure glaucoma. Data from population-based surveys indicate that one in 40 adults older than 40 years has glaucoma with loss of visual function, which equates to 60 million people worldwide being affected and 8·4 million being bilaterally blind. Even in developed countries, half of glaucoma cases are undiagnosed. Glaucoma is mostly asymptomatic until late in the disease when visual problems arise. Vision loss from glaucoma cannot be recovered, and improved case-detection methods for glaucoma are needed. Glaucoma is commonly treated with daily eye-drop drugs, but adherence to treatment is often unsatisfactory. As a usually asymptomatic and chronic disease, glaucoma has similar treatment challenges to chronic systemic diseases. Similarities to the pathogenesis of common CNS diseases mean that common neuroprotective strategies might exist. Successful gene therapy, which has been used for other eye diseases might be possible for the treatment of glaucoma in the future. Copyright © 2011 Elsevier Ltd. All rights reserved.
          Article 0 comments Cited 188 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Detection of macular ganglion cell loss in glaucoma by Fourier-domain optical coherence tomography.

            Ou Tan, Vikas Chopra, Ake Tzu-Hui Lu … (2009)
            To map ganglion cell complex (GCC) thickness with high-speed Fourier-domain optical coherence tomography (FD-OCT) and compute novel macular parameters for glaucoma diagnosis. Observational, cross-sectional study. One hundred seventy-eight participants in the Advanced Imaging for Glaucoma Study, divided into 3 groups: 65 persons in the normal group, 78 in the perimetric glaucoma group (PG), and 52 in the preperimetric glaucoma group (PPG). The RTVue FD-OCT system was used to map the macula over a 7 x 6 mm region. The macular OCT images were exported for automatic segmentation using software we developed. The program measured macular retinal (MR) thickness and GCC thickness. The GCC was defined as the combination of nerve fiber, ganglion cell, and inner plexiform layers. Pattern analysis was applied to the GCC map and the diagnostic powers of pattern-based diagnostic parameters were investigated. Results were compared with time-domain (TD) Stratus OCT measurements of MR and circumpapillary nerve fiber layer (NFL) thickness. Repeatability was assessed by intraclass correlation, pooled standard deviation, and coefficient of variation. Diagnostic power was assessed by the area under the receiver operator characteristic (AROC) curve. Measurements in the PG group were the primary measures of performance. The FD-OCT measurements of MR and GCC averages had significantly better repeatability than TD-OCT measurements of MR and NFL averages. The FD-OCT GCC average had significantly (P = 0.02) higher diagnostic power (AROC = 0.90) than MR (AROC = 0.85 for both FD-OCT and TD-OCT) in differentiating between PG and normal. One GCC pattern parameter, global loss volume, had significantly higher AROC (0.92) than the overall average (P = 0.01). The diagnostic powers of the best GCC parameters were statistically equal to TD-OCT NFL average. The higher speed and resolution of FD-OCT improved the repeatability of macular imaging compared with standard TD-OCT. Ganglion cell mapping and pattern analysis improved diagnostic power. The improved diagnostic power of macular GCC imaging is on par with, and complementary to, peripapillary NFL imaging. Macular imaging with FD-OCT is a useful method for glaucoma diagnosis and has potential for tracking glaucoma progression.
            Article 0 comments Cited 177 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Evaluation of retinal nerve fiber layer, optic nerve head, and macular thickness measurements for glaucoma detection using optical coherence tomography.

              Remo Susanna-Jr, Robert N. Weinreb, Christopher Bowd … (2004)
              To compare the ability of optical coherence tomography retinal nerve fiber layer (RNFL), optic nerve head, and macular thickness parameters to differentiate between healthy eyes and eyes with glaucomatous visual field loss. Observational case-control study. Eighty-eight patients with glaucoma and 78 healthy subjects were included. All patients underwent ONH, RNFL thickness, and macular thickness scans with Stratus OCT during the same visit. ROC curves and sensitivities at fixed specificities were calculated for each parameter. A discriminant analysis was performed to develop a linear discriminant function designed to identify and combine the best parameters. This LDF was subsequently tested on an independent sample consisting of 63 eyes of 63 subjects (27 glaucomatous and 36 healthy individuals) from a different geographic area. No statistically significant difference was found between the areas under the ROC curves (AUC) for the RNFL thickness parameter with the largest AUC (inferior thickness, AUC = 0.91) and the ONH parameter with largest AUC (cup/disk area ratio, AUC = 0.88) (P = .28). The RNFL parameter inferior thickness had a significantly larger AUC than the macular thickness parameter with largest AUC (inferior outer macular thickness, AUC = 0.81) (P = .004). A combination of selected RNFL and ONH parameters resulted in the best classification function for glaucoma detection with an AUC of 0.97 when applied to the independent sample. RNFL and ONH measurements had the best discriminating performance among the several Stratus OCT parameters. A combination of ONH and RNFL parameters improved the diagnostic accuracy for glaucoma detection using this instrument.
              Article 0 comments Cited 117 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Contributors
                Vinay Kansal:
                ORCID: http://orcid.org/0000-0003-1068-9916
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SupervisionRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                James J. Armstrong: Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Robert Pintwala: Role: Data curationRole: Formal analysisRole: Writing – review & editing
                Cindy Hutnik: Role: ConceptualizationRole: MethodologyRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Patrice E. Fort: Role: Editor
                Journal
                Journal ID (nlm-ta): PLoS One
                Journal ID (iso-abbrev): PLoS ONE
                Journal ID (publisher-id): plos
                Journal ID (pmc): plosone
                Title: PLoS ONE
                Publisher: Public Library of Science (San Francisco, CA USA )
                ISSN (Electronic): 1932-6203
                Publication date (Electronic): 4 January 2018
                Publication date Collection: 2018
                Volume: 13
                Issue: 1
                Electronic Location Identifier: e0190621
                Affiliations
                [1 ] University of Saskatchewan, Department of Ophthalmology, Saskatoon, Canada
                [2 ] Western University Canada, Faculty of Medicine, London, Canada
                [3 ] Western University Canada, Department of Ophthalmology, London, Canada
                [4 ] Ivey Eye Institute, St. Joseph’s Hospital, London, Canada
                University of Michigan, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0003-1068-9916
                Article
                Publisher ID: PONE-D-17-22372
                DOI: 10.1371/journal.pone.0190621
                PMC ID: 5754143
                PubMed ID: 29300765
                SO-VID: 56874026-a4f4-4b74-8e0a-0eed0a7eb1a1
                Copyright © © 2018 Kansal et al
                License:

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                Date received : 30 June 2017
                Date accepted : 18 December 2017
                Page count
                Figures: 8, Tables: 8, Pages: 36
                Funding
                The authors received no specific funding for this work.
                Categories
                Subject: Research Article
                Subject: Medicine and Health Sciences
                Subject: Ophthalmology
                Subject: Eye Diseases
                Subject: Glaucoma
                Subject: Research and Analysis Methods
                Subject: Mathematical and Statistical Techniques
                Subject: Statistical Methods
                Subject: Meta-Analysis
                Subject: Physical Sciences
                Subject: Mathematics
                Subject: Statistics (Mathematics)
                Subject: Statistical Methods
                Subject: Meta-Analysis
                Subject: Medicine and Health Sciences
                Subject: Diagnostic Medicine
                Subject: Medicine and Health Sciences
                Subject: Diagnostic Medicine
                Subject: Diagnostic Radiology
                Subject: Tomography
                Subject: Research and Analysis Methods
                Subject: Imaging Techniques
                Subject: Diagnostic Radiology
                Subject: Tomography
                Subject: Medicine and Health Sciences
                Subject: Radiology and Imaging
                Subject: Diagnostic Radiology
                Subject: Tomography
                Subject: Biology and Life Sciences
                Subject: Cell Biology
                Subject: Cellular Types
                Subject: Animal Cells
                Subject: Neurons
                Subject: Nerve Fibers
                Subject: Biology and Life Sciences
                Subject: Neuroscience
                Subject: Cellular Neuroscience
                Subject: Neurons
                Subject: Nerve Fibers
                Subject: Biology and Life Sciences
                Subject: Anatomy
                Subject: Head
                Subject: Eyes
                Subject: Medicine and Health Sciences
                Subject: Anatomy
                Subject: Head
                Subject: Eyes
                Subject: Biology and Life Sciences
                Subject: Anatomy
                Subject: Ocular System
                Subject: Eyes
                Subject: Medicine and Health Sciences
                Subject: Anatomy
                Subject: Ocular System
                Subject: Eyes
                Subject: Biology and Life Sciences
                Subject: Cell Biology
                Subject: Cellular Types
                Subject: Animal Cells
                Subject: Neurons
                Subject: Ganglion Cells
                Subject: Biology and Life Sciences
                Subject: Neuroscience
                Subject: Cellular Neuroscience
                Subject: Neurons
                Subject: Ganglion Cells
                Subject: Biology and Life Sciences
                Subject: Anatomy
                Subject: Ocular System
                Subject: Ocular Anatomy
                Subject: Optic Disc
                Subject: Medicine and Health Sciences
                Subject: Anatomy
                Subject: Ocular System
                Subject: Ocular Anatomy
                Subject: Optic Disc
                Custom metadata
                Data Availability All relevant data are within the paper and its Supporting Information files.

                ScienceOpen disciplines: Uncategorized
                Data availability:
                ScienceOpen disciplines: Uncategorized

                Comments

                Comment on this article

                scite_

                Similar content261

                See all similar

                Cited by30

                See all cited by

                Most referenced authors1,825

                See all reference authors