Shuang Liu1, Bingqing Wang, Biwei Yin, Thomas E Milner, Mia K Markey, Stuart J McKinnon, Henry G Rylander. 1. Departments of *Biomedical Engineering †Electrical & Computer Engineering, The University of Texas at Austin, Austin, TX ‡Imaging Physics, MD Anderson Cancer Center, The University of Texas, Houston, TX §Departments of Ophthalmology and Neurobiology, Duke University Medical Center, Durham, NC.
Abstract
PURPOSE: Compare performance of normalized reflectance index (NRI) and retinal nerve fiber layer thickness (RNFLT) parameters determined from optical coherence tomography (OCT) images for glaucoma and glaucoma suspect diagnosis. METHODS: Seventy-five eyes from 71 human subjects were studied: 33 controls, 24 glaucomatous, and 18 glaucoma-suspects. RNFLT and NRI maps were measured using 2 custom-built OCT systems and the commercial instrument RTVue. Using area under the receiver operating characteristic curve, RNFLT and NRI measured in 7 RNFL locations were analyzed to distinguish between control, glaucomatous, and glaucoma-suspect eyes. RESULTS: The mean NRI of the control group was significantly larger than the means of glaucomatous and glaucoma-suspect groups in most RNFL locations for all 3 OCT systems (P<0.05 for all comparisons). NRI performs significantly better than RNFLT at distinguishing between glaucoma-suspect and control eyes using RTVue OCT (P=0.008). The performances of NRI and RNFLT for classifying glaucoma-suspect versus control eyes were statistically indistinguishable for PS-OCT-EIA (P=0.101) and PS-OCT-DEC (P=0.227). The performances of NRI and RNFLT for classifying glaucomatous versus control eyes were statistically indistinguishable (PS-OCT-EIA: P=0.379; PS-OCT-DEC: P=0.338; RTVue OCT: P=0.877). CONCLUSIONS: NRI is a promising measure for distinguishing between glaucoma-suspect and control eyes and may indicate disease in the preperimetric stage. Results of this pilot clinical study warrant a larger study to confirm the diagnostic power of NRI for diagnosing preperimetric glaucoma.
PURPOSE: Compare performance of normalized reflectance index (NRI) and retinal nerve fiber layer thickness (RNFLT) parameters determined from optical coherence tomography (OCT) images for glaucoma and glaucoma suspect diagnosis. METHODS: Seventy-five eyes from 71 human subjects were studied: 33 controls, 24 glaucomatous, and 18 glaucoma-suspects. RNFLT and NRI maps were measured using 2 custom-built OCT systems and the commercial instrument RTVue. Using area under the receiver operating characteristic curve, RNFLT and NRI measured in 7 RNFL locations were analyzed to distinguish between control, glaucomatous, and glaucoma-suspect eyes. RESULTS: The mean NRI of the control group was significantly larger than the means of glaucomatous and glaucoma-suspect groups in most RNFL locations for all 3 OCT systems (P<0.05 for all comparisons). NRI performs significantly better than RNFLT at distinguishing between glaucoma-suspect and control eyes using RTVue OCT (P=0.008). The performances of NRI and RNFLT for classifying glaucoma-suspect versus control eyes were statistically indistinguishable for PS-OCT-EIA (P=0.101) and PS-OCT-DEC (P=0.227). The performances of NRI and RNFLT for classifying glaucomatous versus control eyes were statistically indistinguishable (PS-OCT-EIA: P=0.379; PS-OCT-DEC: P=0.338; RTVue OCT: P=0.877). CONCLUSIONS: NRI is a promising measure for distinguishing between glaucoma-suspect and control eyes and may indicate disease in the preperimetric stage. Results of this pilot clinical study warrant a larger study to confirm the diagnostic power of NRI for diagnosing preperimetric glaucoma.
Authors: Koenraad A Vermeer; Josine van der Schoot; Hans G Lemij; Johannes F de Boer Journal: Invest Ophthalmol Vis Sci Date: 2012-09-12 Impact factor: 4.799
Authors: Bingqing Wang; Biwei Yin; Jordan Dwelle; H Grady Rylander; Mia K Markey; Thomas E Milner Journal: Opt Lett Date: 2013-11-01 Impact factor: 3.776
Authors: Steven Kornguth; Henry G Rylander; Spencer Smith; Julia Campbell; Steve Steffensen; David Arnold; Alex Athey; J Neal Rutledge Journal: Mil Med Date: 2021-01-25 Impact factor: 1.437
Authors: Gala Beykin; Anthony M Norcia; Vivek J Srinivasan; Alfredo Dubra; Jeffrey L Goldberg Journal: Prog Retin Eye Res Date: 2020-07-10 Impact factor: 21.198
Authors: Ou Tan; Liang Liu; Qisheng You; Jie Wang; Aiyin Chen; Eliesa Ing; John C Morrison; Yali Jia; David Huang Journal: Transl Vis Sci Technol Date: 2021-05-03 Impact factor: 3.283