Literature DB >> 22266520

Effect of spectrum bias on the diagnostic accuracy of spectral-domain optical coherence tomography in glaucoma.

Harsha L Rao1, Tukaram Kumbar, Uday K Addepalli, Neha Bharti, Sirisha Senthil, Nikhil S Choudhari, Chandra S Garudadri.   

Abstract

PURPOSE: To evaluate the influence of a control group on the diagnostic accuracy of spectral-domain optical coherence tomography (SD-OCT) in early glaucoma.
METHODS: In a diagnostic, case-control study, 119 eyes of 60 normal subjects with no findings suspicious for glaucoma (control cohort 1); 76 eyes of 41 subjects referred by general ophthalmologists as glaucoma suspects based on optic disc morphology, but found by glaucoma experts to be normal but with physiological variations in their optic nerves (control cohort 2); and 65 eyes of 46 early-glaucoma patients (cases) underwent imaging of the optic nerve head (ONH), retinal nerve fiber layer (RNFL), and ganglion cell complex (GCC) by SD-OCT.
RESULTS: Areas under the receiver operating characteristic curves (AUC) of ONH parameters discriminating glaucomatous eyes from normal eyes of control cohort 2 were significantly lesser (P < 0.001) than those discriminating glaucomatous eyes from normal eyes of control cohort 1. AUCs of RNFL parameters discriminating glaucomatous eyes from normal eyes of control cohorts 2 and 1 were comparable. Although the AUCs of GCC thickness parameters were comparable, AUCs of GCC focal and global loss volume in control cohort 2 (0.684 and 0.671. respectively) were significantly less (P < 0.05) than in control cohort 1 (0.881 and 0.841, respectively).
CONCLUSIONS: The effectiveness of most SD-OCT parameters in detecting glaucoma significantly decreased when evaluated against a clinically relevant control group with suspicious-looking optic nerves compared with that against a control group consisting of normal subjects with no findings suspicious for glaucoma.

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Year:  2012        PMID: 22266520     DOI: 10.1167/iovs.11-8463

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  23 in total

1.  Comparison of different spectral domain OCT scanning protocols for diagnosing preperimetric glaucoma.

Authors:  Renato Lisboa; Augusto Paranhos; Robert N Weinreb; Linda M Zangwill; Mauro T Leite; Felipe A Medeiros
Journal:  Invest Ophthalmol Vis Sci       Date:  2013-05-13       Impact factor: 4.799

2.  Relationship between Structural and Functional Assessment of the Visual System in Mildly Disabled Relapsing-Remitting Multiple Sclerosis Patients.

Authors:  Nergiz Huseyinoglu; Metin Ekinci; Serkan Ozben; Cagatay Buyukuysal
Journal:  Neuroophthalmology       Date:  2014-01-28

3.  Retinal nerve fiber layer evaluation of spectral domain optical coherence tomograph and scanning laser polarimeter to diagnose glaucoma.

Authors:  H L Rao; R K Yadav; U K Addepalli; S Chaudhary; S Senthil; N S Choudhari; C S Garudadri
Journal:  Eye (Lond)       Date:  2014-03-07       Impact factor: 3.775

4.  Measurements of OCT Angiography Complement OCT for Diagnosing Early Primary Open-Angle Glaucoma.

Authors:  Alireza Kamalipour; Sasan Moghimi; Cris Martin Jacoba; Adeleh Yarmohammadi; Kaileen Yeh; James A Proudfoot; Huiyuan Hou; Takashi Nishida; Ryan Caezar David; Jasmin Rezapour; Nevin El-Nimri; Robert N Weinreb
Journal:  Ophthalmol Glaucoma       Date:  2021-10-09

Review 5.  Optic nerve head and fibre layer imaging for diagnosing glaucoma.

Authors:  Manuele Michelessi; Ersilia Lucenteforte; Francesco Oddone; Miriam Brazzelli; Mariacristina Parravano; Sara Franchi; Sueko M Ng; Gianni Virgili
Journal:  Cochrane Database Syst Rev       Date:  2015-11-30

6.  Peripapillary retinal nerve fiber layer assessment of spectral domain optical coherence tomography and scanning laser polarimetry to diagnose preperimetric glaucoma.

Authors:  Harsha L Rao; Ravi K Yadav; Uday K Addepalli; Shashikant Chaudhary; Sirisha Senthil; Nikhil S Choudhari; Chandra S Garudadri
Journal:  PLoS One       Date:  2014-10-03       Impact factor: 3.240

7.  Factors affecting the ability of the spectral domain optical coherence tomograph to detect photographic retinal nerve fiber layer defects.

Authors:  Harsha L Rao; Uday K Addepalli; Ravi K Yadav; Nikhil S Choudhari; Sirisha Senthil; Chandra S Garudadri
Journal:  PLoS One       Date:  2014-12-23       Impact factor: 3.240

8.  Cross-sectional study: Does combining optical coherence tomography measurements using the 'Random Forest' decision tree classifier improve the prediction of the presence of perimetric deterioration in glaucoma suspects?

Authors:  Koichiro Sugimoto; Hiroshi Murata; Hiroyo Hirasawa; Makoto Aihara; Chihiro Mayama; Ryo Asaoka
Journal:  BMJ Open       Date:  2013-10-07       Impact factor: 2.692

9.  Scanning the macula for detecting glaucoma.

Authors:  Viquar U Begum; Ganesh B Jonnadula; Ravi K Yadav; Uday K Addepalli; Sirisha Senthil; Nikhil S Choudhari; Chandra S Garudadri; Harsha L Rao
Journal:  Indian J Ophthalmol       Date:  2014-01       Impact factor: 1.848

10.  Discriminating between glaucoma and normal eyes using optical coherence tomography and the 'Random Forests' classifier.

Authors:  Tatsuya Yoshida; Aiko Iwase; Hiroyo Hirasawa; Hiroshi Murata; Chihiro Mayama; Makoto Araie; Ryo Asaoka
Journal:  PLoS One       Date:  2014-08-28       Impact factor: 3.240

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