Literature DB >> 24114539

Ability of different scanning protocols of spectral domain optical coherence tomography to diagnose preperimetric glaucoma.

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

Abstract

PURPOSE: To evaluate the ability of the optic nerve head (ONH), retinal nerve fiber layer (RNFL), and ganglion cell complex (GCC) parameters of spectral domain optical coherence tomograph (SDOCT) in detecting preperimetric glaucoma.
METHODS: In a cross-sectional study, 34 preperimetric glaucoma eyes (34 patients) and 72 control eyes (72 subjects) with large physiologic optic disc cupping underwent ONH, RNFL, and GCC imaging with SDOCT. Preperimetric glaucoma was diagnosed in the presence of glaucomatous optic neuropathy on masked evaluation of optic disc photographs by two glaucoma experts and normal visual fields. The ability of SDOCT parameters to discriminate preperimetric glaucoma eyes from eyes with large physiologic cups was evaluated by areas under the receiver operating characteristic curves (AUC), sensitivities at fixed specificities, and likelihood ratios (LR).
RESULTS: All SDOCT parameters were significantly different (P < 0.05) between the two groups. The ONH, RNFL, and GCC parameters with best AUCs to differentiate preperimetric glaucoma from eyes with large physiologic cups were vertical cup to disc ratio (0.76), inferior quadrant RNFL thickness (0.76), and inferior quadrant GCC thickness (0.75), respectively. Sensitivities at 95% specificity of SDOCT parameters ranged between 15% and 29%. Likelihood ratios of outside normal limits category of parameters ranged between 3 and 11, and within normal limits category between 0.5 and 0.8.
CONCLUSIONS: Diagnostic abilities of ONH, RNFL, and GCC parameters of SDOCT to differentiate preperimetric glaucoma eyes from control eyes with large physiologic cupping were only moderate.

Entities:  

Keywords:  diagnostic ability; ganglion cell complex; preperimetric glaucoma; retinal nerve fiber layer; spectral domain optical coherence tomograph

Mesh:

Year:  2013        PMID: 24114539     DOI: 10.1167/iovs.13-12731

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


  19 in total

1.  From Machine to Machine: An OCT-Trained Deep Learning Algorithm for Objective Quantification of Glaucomatous Damage in Fundus Photographs.

Authors:  Felipe A Medeiros; Alessandro A Jammal; Atalie C Thompson
Journal:  Ophthalmology       Date:  2018-12-20       Impact factor: 12.079

Review 2.  In vivo imaging methods to assess glaucomatous optic neuropathy.

Authors:  Brad Fortune
Journal:  Exp Eye Res       Date:  2015-06-03       Impact factor: 3.467

3.  The Association Between Clinical Features Seen on Fundus Photographs and Glaucomatous Damage Detected on Visual Fields and Optical Coherence Tomography Scans.

Authors:  Paula A Alhadeff; Carlos G De Moraes; Monica Chen; Ali S Raza; Robert Ritch; Donald C Hood
Journal:  J Glaucoma       Date:  2017-05       Impact factor: 2.503

Review 4.  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

Review 5.  Macular imaging with optical coherence tomography in glaucoma.

Authors:  Vahid Mohammadzadeh; Nima Fatehi; Adeleh Yarmohammadi; Ji Woong Lee; Farideh Sharifipour; Ramin Daneshvar; Joseph Caprioli; Kouros Nouri-Mahdavi
Journal:  Surv Ophthalmol       Date:  2020-03-19       Impact factor: 6.048

Review 6.  Advanced Morphological and Functional Magnetic Resonance Techniques in Glaucoma.

Authors:  Rodolfo Mastropasqua; Luca Agnifili; Peter A Mattei; Massimo Caulo; Vincenzo Fasanella; Riccardo Navarra; Leonardo Mastropasqua; Giorgio Marchini
Journal:  Biomed Res Int       Date:  2015-06-08       Impact factor: 3.411

7.  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

8.  Pattern Recognition Analysis of Age-Related Retinal Ganglion Cell Signatures in the Human Eye.

Authors:  Nayuta Yoshioka; Barbara Zangerl; Lisa Nivison-Smith; Sieu K Khuu; Bryan W Jones; Rebecca L Pfeiffer; Robert E Marc; Michael Kalloniatis
Journal:  Invest Ophthalmol Vis Sci       Date:  2017-06-01       Impact factor: 4.799

9.  Extended Ganglion Cell Layer Thickness Deviation Maps With OCT in Glaucoma Diagnosis.

Authors:  Paul Lehmann; Bettina Hohberger; Robert Lämmer; Christian Mardin
Journal:  Front Med (Lausanne)       Date:  2021-06-04

10.  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

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