TY - JOUR
T1 - Stereo photo measured ONH shape predicts development of POAG in subjects with ocular hypertension
AU - Christopher, Mark
AU - Abrámoff, Michael D.
AU - Tang, Li
AU - Gordon, Mae O.
AU - Kass, Michael A.
AU - Budenz, Donald L.
AU - Fingert, John H.
AU - Scheetz, Todd E.
N1 - Publisher Copyright:
© 2015 The Association for Research in Vision and Ophthalmology, Inc.
PY - 2015
Y1 - 2015
N2 - PURPOSE. To identify objective, quantitative optic nerve head (ONH) structural features and model the contributions of glaucoma. METHODS. 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. RESULTS. 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. CONCLUSIONS. 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.
AB - PURPOSE. To identify objective, quantitative optic nerve head (ONH) structural features and model the contributions of glaucoma. METHODS. 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. RESULTS. 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. CONCLUSIONS. 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.
KW - Image analysis
KW - Optic nerve head
KW - Primary open-angle glaucoma
KW - Stereo fundus
KW - Structural modeling
UR - http://www.scopus.com/inward/record.url?scp=84939623704&partnerID=8YFLogxK
U2 - 10.1167/iovs.14-16142
DO - 10.1167/iovs.14-16142
M3 - Article
C2 - 26193923
AN - SCOPUS:84939623704
SN - 0146-0404
VL - 56
SP - 4470
EP - 4479
JO - Investigative Ophthalmology and Visual Science
JF - Investigative Ophthalmology and Visual Science
IS - 8
ER -