Optical Coherence Tomography Analysis Based Prediction of Humphrey 24-2 Visual Field Thresholds in Patients With Glaucoma

Zhihui Guo; Young H Kwon; Kyungmoo Lee; Kai Wang; Andreas Wahle; Wallace L M Alward; John H Fingert; Daniel I Bettis; Chris A Johnson; Mona K Garvin; Milan Sonka; Michael D Abràmoff

doi:10.1167/iovs.17-21832

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Optical Coherence Tomography Analysis Based Prediction of Humphrey 24-2 Visual Field Thresholds in Patients With Glaucoma

Journal article

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Peer reviewed

Optical Coherence Tomography Analysis Based Prediction of Humphrey 24-2 Visual Field Thresholds in Patients With Glaucoma

Zhihui Guo, Young H Kwon, Kyungmoo Lee, Kai Wang, Andreas Wahle, Wallace L M Alward, John H Fingert, Daniel I Bettis, Chris A Johnson, Mona K Garvin, …

Investigative ophthalmology & visual science, Vol.58(10), pp.3975-3985

08/01/2017

DOI: 10.1167/iovs.17-21832

PMCID: PMC5552000

PMID: 28796875

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Abstract

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. 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. 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: Naïve (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). 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.

Algorithms

Nerve Fibers - pathology

Visual Field Tests - methods

Visual Fields - physiology

Reproducibility of Results

Prospective Studies

Optic Nerve Diseases - physiopathology

Ocular Hypertension - physiopathology

Humans

Middle Aged

Optic Nerve Diseases - diagnosis

Glaucoma, Open-Angle - diagnosis

Glaucoma, Open-Angle - physiopathology

Ocular Hypertension - diagnosis

Intraocular Pressure - physiology

Male

Tomography, Optical Coherence - methods

Retinal Ganglion Cells - pathology

Sensory Thresholds - physiology

Female

Details

Title: Subtitle: Optical Coherence Tomography Analysis Based Prediction of Humphrey 24-2 Visual Field Thresholds in Patients With Glaucoma
Creators: Zhihui Guo - Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa, United States
Young H Kwon - Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, Iowa, United States
Kyungmoo Lee - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa, United States
Kai Wang - Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, Iowa, United States
Andreas Wahle - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa, United States
Wallace L M Alward - Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, Iowa, United States
John H Fingert - Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, Iowa, United States
Daniel I Bettis - Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, Iowa, United States
Chris A Johnson - Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, Iowa, United States
Mona K Garvin - Iowa City VA Health Care System, Iowa City, Iowa, United States
Milan Sonka - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa, United States
Michael D Abràmoff - Iowa City VA Health Care System, Iowa City, Iowa, United States
Resource Type: Journal article
Publication Details: Investigative ophthalmology & visual science, Vol.58(10), pp.3975-3985
DOI: 10.1167/iovs.17-21832
PMID: 28796875
PMCID: PMC5552000
NLM abbreviation: Invest Ophthalmol Vis Sci
ISSN: 0146-0404
eISSN: 1552-5783
Publisher: United States
Grant note: R01 EB004640 / NIBIB NIH HHS P30 EY025580 / NEI NIH HHS R01 EY018853 / NEI NIH HHS R01 EY019112 / NEI NIH HHS
Language: English
Date published: 08/01/2017
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Biostatistics; Radiation Oncology; Injury Prevention Research Center; Ophthalmology and Visual Sciences
Record Identifier: 9983806387702771

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