Zhichao Wu1,2,3, Abinaya Thenappan1, Denis S D Weng1, Robert Ritch4, Donald C Hood1,5. 1. Department of Psychology, Columbia University, New York, NY, USA. 2. Center for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia. 3. Ophthalmology, Department of Surgery, The University of Melbourne, Melbourne, Australia. 4. Einhorn Clinical Research Center, New York Eye and Ear Infirmary of Mount Sinai, New York, NY, USA. 5. Department of Ophthalmology, Columbia University, New York, NY, USA.
Abstract
PURPOSE: To compare two region-of-interest (ROI) approaches and a global thickness approach for capturing progressive circumpapillary retinal nerve fiber layer (cpRNFL) changes on optical coherence tomography (OCT) imaging. METHODS: Progressive cpRNFL thickness changes were evaluated in 164 eyes with a clinical diagnosis of glaucoma or suspected glaucoma; all eyes underwent optic disc OCT imaging on two visits at least 1 year apart. Such changes were evaluated with a manual ROI approach (ROIM), which involved manual identification of region(s) of observed or suspected glaucomatous damage. The ROIM was compared with an automatic ROI approach (ROIA), where regions were automatically identified if the cpRNFL thickness fell below the 1% lower normative limits, and to global cpRNFL thickness. These methods were compared using longitudinal signal-to-noise ratios (SNRs), calculated based upon individualized estimates of measurement variability and age-related changes for each ROI, obtained from 321 glaucoma eyes and 394 healthy eyes, respectively. RESULTS: The average longitudinal SNR of the ROIM, ROIA and global thickness methods were -0.46, -0.39, and -0.30 y-1, respectively. The average longitudinal SNR for the ROIM was significantly more negative compared with both the ROIA and global thickness methods (P = 0.005 for both). CONCLUSIONS: A manual ROI approach was the optimal method for detecting progressive cpRNFL loss compared with an automatic ROI approach and the global cpRNFL thickness measure. TRANSLATIONAL RELEVANCE: These findings highlight the potential advantages conferred by a careful qualitative evaluation of OCT imaging for detecting glaucoma progression.
PURPOSE: To compare two region-of-interest (ROI) approaches and a global thickness approach for capturing progressive circumpapillary retinal nerve fiber layer (cpRNFL) changes on optical coherence tomography (OCT) imaging. METHODS: Progressive cpRNFL thickness changes were evaluated in 164 eyes with a clinical diagnosis of glaucoma or suspected glaucoma; all eyes underwent optic disc OCT imaging on two visits at least 1 year apart. Such changes were evaluated with a manual ROI approach (ROIM), which involved manual identification of region(s) of observed or suspected glaucomatous damage. The ROIM was compared with an automatic ROI approach (ROIA), where regions were automatically identified if the cpRNFL thickness fell below the 1% lower normative limits, and to global cpRNFL thickness. These methods were compared using longitudinal signal-to-noise ratios (SNRs), calculated based upon individualized estimates of measurement variability and age-related changes for each ROI, obtained from 321 glaucoma eyes and 394 healthy eyes, respectively. RESULTS: The average longitudinal SNR of the ROIM, ROIA and global thickness methods were -0.46, -0.39, and -0.30 y-1, respectively. The average longitudinal SNR for the ROIM was significantly more negative compared with both the ROIA and global thickness methods (P = 0.005 for both). CONCLUSIONS: A manual ROI approach was the optimal method for detecting progressive cpRNFL loss compared with an automatic ROI approach and the global cpRNFL thickness measure. TRANSLATIONAL RELEVANCE: These findings highlight the potential advantages conferred by a careful qualitative evaluation of OCT imaging for detecting glaucoma progression.
Authors: Christopher K S Leung; Cong Ye; Robert N Weinreb; Marco Yu; Gilda Lai; Dennis S Lam Journal: Ophthalmology Date: 2013-08-30 Impact factor: 12.079
Authors: Abinaya Thenappan; Carlos Gustavo De Moraes; Diane L Wang; Daiyan Xin; Ravivarn Jarukasetphon; Robert Ritch; Donald C Hood Journal: J Glaucoma Date: 2017-05 Impact factor: 2.503
Authors: Zhichao Wu; Luke J Saunders; Linda M Zangwill; Fábio B Daga; Jonathan G Crowston; Felipe A Medeiros Journal: Am J Ophthalmol Date: 2017-06-29 Impact factor: 5.258
Authors: Felipe A Medeiros; Linda M Zangwill; Christopher Bowd; Pamela A Sample; Robert N Weinreb Journal: Am J Ophthalmol Date: 2005-06 Impact factor: 5.258
Authors: Donald C Hood; Brad Fortune; Maria A Mavrommatis; Juan Reynaud; Rithambara Ramachandran; Robert Ritch; Richard B Rosen; Hassan Muhammad; Alfredo Dubra; Toco Y P Chui Journal: Invest Ophthalmol Vis Sci Date: 2015-10 Impact factor: 4.799
Authors: Balwantray C Chauhan; Vishva M Danthurebandara; Glen P Sharpe; Shaban Demirel; Christopher A Girkin; Christian Y Mardin; Alexander F Scheuerle; Claude F Burgoyne Journal: Ophthalmology Date: 2015-07-18 Impact factor: 12.079
Authors: Seung H Lee; Devon B Joiner; Emmanouil Tsamis; Rashmi Rajshekhar; Eleanor Kim; C Gustavo De Moraes; Robert Ritch; Donald C Hood Journal: Ophthalmol Glaucoma Date: 2019-02-12
Authors: Hongli Yang; Haomin Luo; Stuart K Gardiner; Christy Hardin; Glen P Sharpe; Joseph Caprioli; Shaban Demirel; Christopher A Girkin; Jeffrey M Liebmann; Christian Y Mardin; Harry A Quigley; Alexander F Scheuerle; Brad Fortune; Balwantray C Chauhan; Claude F Burgoyne Journal: Invest Ophthalmol Vis Sci Date: 2019-02-01 Impact factor: 4.799
Authors: Christopher Bowd; Akram Belghith; Mark Christopher; Michael H Goldbaum; Massimo A Fazio; Christopher A Girkin; Jeffrey M Liebmann; Carlos Gustavo de Moraes; Robert N Weinreb; Linda M Zangwill Journal: Transl Vis Sci Technol Date: 2021-07-01 Impact factor: 3.048
Authors: Melvi D Eguia; Emmanouil Tsamis; Zane Z Zemborain; Ashley Sun; Joseph Percival; C Gustavo De Moraes; Robert Ritch; Donald C Hood Journal: Transl Vis Sci Technol Date: 2020-10-19 Impact factor: 3.283