1. Optical Coherence Tomography Analysis Based Prediction of Humphrey 24-2 Visual Field Thresholds in Patients With Glaucoma
- Author
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Michael D. Abràmoff, Chris A. Johnson, Zhihui Guo, Daniel I. Bettis, Mona K. Garvin, Andreas Wahle, Kai Wang, Kyungmoo Lee, Milan Sonka, Wallace L.M. Alward, Young H. Kwon, and John H. Fingert
- Subjects
Male ,Retinal Ganglion Cells ,visual field ,medicine.medical_specialty ,ganglion cell ,Wilcoxon signed-rank test ,genetic structures ,Glaucoma ,030218 nuclear medicine & medical imaging ,Correlation ,03 medical and health sciences ,0302 clinical medicine ,Nerve Fibers ,Optical coherence tomography ,perimetry ,image analysis ,Ophthalmology ,Optic Nerve Diseases ,medicine ,Humans ,In patient ,Prospective Studies ,Intraocular Pressure ,Reproducibility ,medicine.diagnostic_test ,business.industry ,Reproducibility of Results ,Middle Aged ,medicine.disease ,Confidence interval ,Visual field ,OCT ,Sensory Thresholds ,030221 ophthalmology & optometry ,Visual Field Tests ,Female ,Ocular Hypertension ,sense organs ,Visual Fields ,business ,Algorithms ,Glaucoma, Open-Angle ,Tomography, Optical Coherence - Abstract
Purpose A pilot study showed that prediction of individual Humphrey 24-2 visual field (HVF 24-2) sensitivity thresholds from optical coherence tomography (OCT) image analysis is possible. We evaluate performance of an improved approach as well as 3 other predictive algorithms on a new, fully independent set of glaucoma subjects. Methods Subjects underwent HVF 24-2 and 9-field OCT (Heidelberg Spectralis) testing. Nerve fiber (NFL), and ganglion cell and inner plexiform (GCL+IPL) layers were cosegmented and partitioned into 52 sectors matching HVF 24-2 test locations. The Wilcoxon rank sum test was applied to test correlation R, root mean square error (RMSE), and limits of agreement (LoA) between actual and predicted thresholds for four prediction models. The training data consisted of the 9-field OCT and HVF 24-2 thresholds of 111 glaucoma patients from our pilot study. Results We studied 112 subjects (112 eyes) with early, moderate, or advanced primary and secondary open angle glaucoma. Subjects with less than 9 scans (15/112) or insufficient quality segmentations (11/97) were excluded. Retinal ganglion cell axonal complex (RGC-AC) optimized had superior average R = 0.74 (95% confidence interval [CI], 0.67-0.76) and RMSE = 5.42 (95% CI, 5.1-5.7) dB, which was significantly better (P < 0.05/3) than the other three models: Naive (R = 0.49; 95% CI, 0.44-0.54; RMSE = 7.24 dB; 95% CI, 6.6-7.8 dB), Garway-Heath (R = 0.66; 95% CI, 0.60-0.68; RMSE = 6.07 dB; 95% CI, 5.7-6.5 dB), and Donut (R = 0.67; 95% CI, 0.61-0.69; RMSE = 6.08 dB, 95% CI, 5.8-6.4 dB). Conclusions The proposed RGC-AC optimized predictive algorithm based on 9-field OCT image analysis and the RGC-AC concept is superior to previous methods and its performance is close to the reproducibility of HVF 24-2.
- Published
- 2017