Stereo Photo Measured ONH Shape Predicts Development of POAG in Subjects With Ocular Hypertension

Mark Christopher; Michael D Abràmoff; Li Tang; Mae O Gordon; Michael A Kass; Donald L Budenz; John H Fingert; Todd E Scheetz

doi:10.1167/iovs.14-16142

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Stereo Photo Measured ONH Shape Predicts Development of POAG in Subjects With Ocular Hypertension

Journal article

Open access

Peer reviewed

Stereo Photo Measured ONH Shape Predicts Development of POAG in Subjects With Ocular Hypertension

Mark Christopher, Michael D Abràmoff, Li Tang, Mae O Gordon, Michael A Kass, Donald L Budenz, John H Fingert and Todd E Scheetz

Investigative ophthalmology & visual science, Vol.56(8), pp.4470-4479

07/2015

DOI: 10.1167/iovs.14-16142

PMCID: PMC4509059

PMID: 26193923

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Abstract

To identify objective, quantitative optic nerve head (ONH) structural features and model the contributions of glaucoma. Baseline stereoscopic optic disc images of 1635 glaucoma-free participants at risk for developing primary open-angle glaucoma (POAG) were collected as part of the Ocular Hypertension Treatment Study. A stereo correspondence algorithm designed for fundus images was applied to extract the three-dimensional (3D) information about the ONH. Principal component analysis was used to identify ONH 3D structural features and the contributions of demographic features, clinical variables, and disease were modeled using linear regression and linear component analysis. The computationally identified features were evaluated based on associations with glaucoma and ability to predict which participants would develop POAG. The computationally identified features were significantly associated with future POAG, POAG-related demographics (age, ethnicity), and clinical measurements (horizontal and vertical cup-to-disc ratio, central corneal thickness, and refraction). Models predicting future POAG development using the OHTS baseline data and STEP features achieved an AUC of 0.722 in cross-validation testing. This was a significant improvement over using only demographics (age, sex, and ethnicity), which had an AUC of 0.599. Methods for identifying objective, quantitative measurements of 3D ONH structure were developed using a large dataset. The identified features were significantly associated with POAG and POAG-related variables. Further, these features increased predictive model accuracy in predicting future POAG. The results indicate that the computationally identified features might be useful in POAG early screening programs or as endophenotypes to investigate POAG genetics.

Phenotype

Algorithms

Intraocular Pressure

Visual Fields

Humans

Optic Nerve Diseases - diagnosis

Glaucoma, Open-Angle - diagnosis

Ocular Hypertension - complications

Imaging, Three-Dimensional

Optic Disk - pathology

Photography - methods

Details

Title: Subtitle: Stereo Photo Measured ONH Shape Predicts Development of POAG in Subjects With Ocular Hypertension
Creators: Mark Christopher - Stephen A. Wynn Institute for Vision Research, University of Iowa, Iowa City, Iowa, United States 2Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa, United States
Michael D Abràmoff - Stephen A. Wynn Institute for Vision Research, University of Iowa, Iowa City, Iowa, United States 2Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa, United States 3Department of Electrical and Computer Engineering, University of I
Li Tang - Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, Iowa, United States
Mae O Gordon - Division of Biostatistics, Washington University, St. Louis, Missouri, United States 7Department of Ophthalmology and Visual Sciences, Washington University, St. Louis, Missouri, United States
Michael A Kass - Department of Ophthalmology and Visual Sciences, Washington University, St. Louis, Missouri, United States
Donald L Budenz - Department of Ophthalmology, University of North Carolina, Chapel Hill, North Carolina, United States
John H Fingert - Stephen A. Wynn Institute for Vision Research, University of Iowa, Iowa City, Iowa, United States 4Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, Iowa, United States
Todd E Scheetz - Stephen A. Wynn Institute for Vision Research, University of Iowa, Iowa City, Iowa, United States 2Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa, United States 4Department of Ophthalmology and Visual Sciences, University of Iow
Resource Type: Journal article
Publication Details: Investigative ophthalmology & visual science, Vol.56(8), pp.4470-4479
Publisher: United States
DOI: 10.1167/iovs.14-16142
PMID: 26193923
PMCID: PMC4509059
ISSN: 0146-0404
eISSN: 1552-5783
Grant note: R21 EY024621 / NEI NIH HHS R01 EY019112 / NEI NIH HHS R01 EY018825 / NEI NIH HHS R01 EY23187 / NEI NIH HHS R01 EY023187 / NEI NIH HHS R01 EY023512 / NEI NIH HHS R01 EY018853 / NEI NIH HHS I01 CX000119 / CSRD VA
Language: English
Date published: 07/2015
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Ophthalmology and Visual Sciences
Record Identifier: 9983806287802771

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