Patricia Isabel C Manalastas1, Akram Belghith1, Robert N Weinreb1, Jost B Jonas2, Min Hee Suh3, Adeleh Yarmohammadi1, Felipe A Medeiros1, Christopher A Girkin4, Jeffrey M Liebmann5, Linda M Zangwill6. 1. Hamilton Glaucoma Center, Shiley Eye Institute and Department of Ophthalmology, University of California, San Diego, La Jolla, California, USA. 2. Department of Ophthalmology, Medical Faculty Mannheim, Ruprecht-Karls-University of Heidelberg, Mannheim, Germany. 3. Hamilton Glaucoma Center, Shiley Eye Institute and Department of Ophthalmology, University of California, San Diego, La Jolla, California, USA; Ophthalmology, Haeundae Paik Hospital, Inje University, Busan, South Korea. 4. Department of Ophthalmology, School of Medicine, University of Alabama, Birmingham, Alabama, USA. 5. Bernard and Shirlee Brown Glaucoma Research Laboratory, Edward S. Harkness Eye Institute, Department of Ophthalmology, Columbia University Medical Center, New York, New York, USA. 6. Hamilton Glaucoma Center, Shiley Eye Institute and Department of Ophthalmology, University of California, San Diego, La Jolla, California, USA. Electronic address: lzangwill@ucsd.edu.
Abstract
PURPOSE: To evaluate whether automated assessment of beta zone parapapillary atrophy (βPPA) area can differentiate between glaucomatous and healthy eyes of varying axial lengths (AL). DESIGN: Cross-sectional study. METHODS: βPPA was automatically identified in glaucoma and healthy eyes with enhanced-depth imaging optical coherence tomography (OCT) optic nerve head (ONH) radial B-scans. Associations with AL and the presence of glaucoma were assessed. Manually delineated βPPA on individual OCT ONH B-scans of 35 eyes from the Diagnostic Innovations in Glaucoma Study served to validate the automated method. RESULTS: One hundred fifty-three glaucoma eyes (mean ± standard deviation) (visual field mean deviation, -5.0 ± 6.4 dB and mean AL, 25.1 ± 1.1 mm) and 73 healthy eyes (visual field mean deviation, 0.1 ± 1.4 dB and mean AL, 24.1 ± 1.1 mm) were included. In multivariable analysis, larger βPPA area was significantly associated with a diagnosis of glaucoma after controlling for age, central corneal thickness, and AL. Moreover, in multivariable analysis, the odds of having glaucoma were doubled for each 0.2 mm2 larger βPPA area. The age- and AL-adjusted area under the receiver operating characteristic curve (95% confidence interval) of βPPA area for differentiating between glaucoma and healthy eyes was 0.75 (0.68-0.81). Agreement for the location of the Bruch membrane opening and the location of retinal pigment epithelium tips was stronger between the automated technique and each individual observer than it was between the 2 observers. CONCLUSIONS: Larger βPPA area, as determined by automated OCT assessment, is significantly associated with a diagnosis of glaucoma, even after adjusting for age and AL, and may aid in differentiating healthy from glaucomatous eyes.
PURPOSE: To evaluate whether automated assessment of beta zone parapapillary atrophy (βPPA) area can differentiate between glaucomatous and healthy eyes of varying axial lengths (AL). DESIGN: Cross-sectional study. METHODS: βPPA was automatically identified in glaucoma and healthy eyes with enhanced-depth imaging optical coherence tomography (OCT) optic nerve head (ONH) radial B-scans. Associations with AL and the presence of glaucoma were assessed. Manually delineated βPPA on individual OCT ONH B-scans of 35 eyes from the Diagnostic Innovations in Glaucoma Study served to validate the automated method. RESULTS: One hundred fifty-three glaucoma eyes (mean ± standard deviation) (visual field mean deviation, -5.0 ± 6.4 dB and mean AL, 25.1 ± 1.1 mm) and 73 healthy eyes (visual field mean deviation, 0.1 ± 1.4 dB and mean AL, 24.1 ± 1.1 mm) were included. In multivariable analysis, larger βPPA area was significantly associated with a diagnosis of glaucoma after controlling for age, central corneal thickness, and AL. Moreover, in multivariable analysis, the odds of having glaucoma were doubled for each 0.2 mm2 larger βPPA area. The age- and AL-adjusted area under the receiver operating characteristic curve (95% confidence interval) of βPPA area for differentiating between glaucoma and healthy eyes was 0.75 (0.68-0.81). Agreement for the location of the Bruch membrane opening and the location of retinal pigment epithelium tips was stronger between the automated technique and each individual observer than it was between the 2 observers. CONCLUSIONS: Larger βPPA area, as determined by automated OCT assessment, is significantly associated with a diagnosis of glaucoma, even after adjusting for age and AL, and may aid in differentiating healthy from glaucomatous eyes.
Authors: R Chrástek; M Wolf; K Donath; H Niemann; D Paulus; T Hothorn; B Lausen; R Lämmer; C Y Mardin; G Michelson Journal: Med Image Anal Date: 2005-04-08 Impact factor: 8.545
Authors: Christopher C Teng; Carlos Gustavo V De Moraes; Tiago S Prata; Celso Tello; Robert Ritch; Jeffrey M Liebmann Journal: Ophthalmology Date: 2010-02-04 Impact factor: 12.079
Authors: Akram Belghith; Christopher Bowd; Felipe A Medeiros; Naama Hammel; Zhiyong Yang; Robert N Weinreb; Linda M Zangwill Journal: Invest Ophthalmol Vis Sci Date: 2016-02 Impact factor: 4.799