Literature DB >> 28093287

Diagnostic accuracy of imaging devices in glaucoma: A meta-analysis.

Monica Fallon1, Oliver Valero2, Marta Pazos3, Alfonso Antón4.   

Abstract

Imaging devices such as the Heidelberg retinal tomograph-3 (HRT3), scanning laser polarimetry (GDx), and optical coherence tomography (OCT) play an important role in glaucoma diagnosis. A systematic search for evidence-based data was performed for prospective studies evaluating the diagnostic accuracy of HRT3, GDx, and OCT. The diagnostic odds ratio (DOR) was calculated. To compare the accuracy among instruments and parameters, a meta-analysis considering the hierarchical summary receiver-operating characteristic model was performed. The risk of bias was assessed using quality assessment of diagnostic accuracy studies, version 2. Studies in the context of screening programs were used for qualitative analysis. Eighty-six articles were included. The DOR values were 29.5 for OCT, 18.6 for GDx, and 13.9 for HRT. The heterogeneity analysis demonstrated statistically a significant influence of degree of damage and ethnicity. Studies analyzing patients with earlier glaucoma showed poorer results. The risk of bias was high for patient selection. Screening studies showed lower sensitivity values and similar specificity values when compared with those included in the meta-analysis. The classification capabilities of GDx, HRT, and OCT were high and similar across the 3 instruments. The highest estimated DOR was obtained with OCT. Diagnostic accuracy could be overestimated in studies including prediagnosed groups of subjects.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  biomedical enhancement; diagnostic imaging; glaucoma; meta-analysis; optic nerve

Mesh:

Year:  2017        PMID: 28093287     DOI: 10.1016/j.survophthal.2017.01.001

Source DB:  PubMed          Journal:  Surv Ophthalmol        ISSN: 0039-6257            Impact factor:   6.048


  13 in total

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Review 3.  Major review: Molecular genetics of primary open-angle glaucoma.

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4.  Accuracy of optical coherence tomography for diagnosing glaucoma: an overview of systematic reviews.

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Journal:  Br J Ophthalmol       Date:  2020-06-03       Impact factor: 4.638

5.  A Simple Subjective Evaluation of Enface OCT Reflectance Images Distinguishes Glaucoma From Healthy Eyes.

Authors:  Riccardo Cheloni; Simon D Dewsbery; Jonathan Denniss
Journal:  Transl Vis Sci Technol       Date:  2021-05-03       Impact factor: 3.283

6.  Automatic CDR Estimation for Early Glaucoma Diagnosis.

Authors:  M A Fernandez-Granero; A Sarmiento; D Sanchez-Morillo; S Jiménez; P Alemany; I Fondón
Journal:  J Healthc Eng       Date:  2017-11-27       Impact factor: 2.682

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

Authors:  Vinay Kansal; James J Armstrong; Robert Pintwala; Cindy Hutnik
Journal:  PLoS One       Date:  2018-01-04       Impact factor: 3.240

8.  Acute full-thickness macular hole after uneventful femtosecond-assisted cataract surgery and its spontaneous closure.

Authors:  Deepak Bhojwani; Shail Vasavada; Aditya Sudhalkar; Viraj Vasavada; Abhay R Vasavada
Journal:  Indian J Ophthalmol       Date:  2018-06       Impact factor: 1.848

9.  An artificial intelligence model for the simulation of visual effects in patients with visual field defects.

Authors:  Zhan Zhou; Bingbing Li; Jinyu Su; Xianming Fan; Liang Chen; Song Tang; Jianqing Zheng; Tong Zhang; Zhiyong Meng; Zhimeng Chen; Hongwei Deng; Jianmin Hu; Jun Zhao
Journal:  Ann Transl Med       Date:  2020-06

Review 10.  The Role of Microglia in Retinal Neurodegeneration: Alzheimer's Disease, Parkinson, and Glaucoma.

Authors:  Ana I Ramirez; Rosa de Hoz; Elena Salobrar-Garcia; Juan J Salazar; Blanca Rojas; Daniel Ajoy; Inés López-Cuenca; Pilar Rojas; Alberto Triviño; José M Ramírez
Journal:  Front Aging Neurosci       Date:  2017-07-06       Impact factor: 5.750

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