An Automated Method for Assessing Topographical Structure-Function Agreement in Abnormal Glaucomatous Regions.

Autor:	Tsamis E; Department of Psychology, Columbia University, New York, NY, USA., Bommakanti NK; Department of Ophthalmology, Columbia University, New York, NY, USA., Sun A; Department of Psychology, Columbia University, New York, NY, USA., Thakoor KA; Department of Psychology, Columbia University, New York, NY, USA.; Department of Biomedical Engineering, Columbia University, New York, NY, USA., De Moraes CG; Department of Ophthalmology, Columbia University, New York, NY, USA., Hood DC; Department of Psychology, Columbia University, New York, NY, USA.; Department of Ophthalmology, Columbia University, New York, NY, USA.
Jazyk:	angličtina
Zdroj:	Translational vision science & technology [Transl Vis Sci Technol] 2020 Mar 18; Vol. 9 (4), pp. 14. Date of Electronic Publication: 2020 Mar 18 (Print Publication: 2020).
DOI:	10.1167/tvst.9.4.14
Abstrakt:	Purpose: To develop an automated/objective method for topographically comparing abnormal regions on optical coherence tomography (OCT) and visual field (VF) tests of eyes with early glaucoma. Methods: A custom R program was developed that allows for both visualization and automatic assessment of the topographical agreement between functional (24-2 and/or 10-2 VF) and structural (widefield OCT retinal nerve fiber layer and/or retinal ganglion cell layer) deviation/probability maps. It was optimized using information from 98 eyes: 53 diagnosed as "definitely glaucoma" (DG) and 45 recruited as healthy (H) controls. Different pairs of abnormal VF ( P <1%, <2%, <5%) and abnormal OCT ( P <5%, <10%, <15%) criteria were evaluated. The percentages of abnormal structure-abnormal function (aS-aF) agreement found in DG eyes and nonagreement found in H eyes were used to define the optimal criteria and number of aS-aF locations for the detection of aS-aF agreement. Results: A criterion of two aS-aF locations with "OCT <10% and VF <5%" on VF pattern deviation (PD) probability and OCT deviation/probability maps yielded high overall agreement (92%) with high aS-aF agreement for the DG eyes (89%) and high aS-aF nonagreement for the H eyes (95%). Total deviation probability maps achieved slightly lower performance than PD maps. Conclusions: The method described here can automatically and objectively evaluate aS-aF agreement with a direct comparison of abnormal regions of function and structure. Translational Relevance: As glaucoma diagnosis often involves assessing structure-function agreement, this technique can overcome subjectivity in this assessment. Competing Interests: Disclosure: E. Tsamis, None; N.K. Bommakanti, None; A. Sun, None; K.A. Thakoor, None; C.G. De Moraes, Carl Zeiss Meditec, Inc. (R), Topcon, Inc. (R), Heidelberg Engineering (R), Novartis, Inc. (C), Galimedix, Inc. (C), Lin Biosciences, Inc. (C), Reichert, Inc. (C); D.C. Hood, Topcon, Inc. (F, C), Heidelberg Engineering (F,C), Novartis, Inc. (C) (Copyright 2020 The Authors.)
Databáze:	MEDLINE
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