Predicting the Extent of Damage in the Humphrey Field Analyzer 24-2 Visual Fields Using 10-2 Test Results in Patients With Advanced Glaucoma.
Ryo Asaoka, Kenji Sugisaki, Toshihiro Inoue, Keiji Yoshikawa, Akiyasu Kanamori, Yoshio Yamazaki, Shinichiro Ishikawa, Kenichi Uchida, Aiko Iwase, Makoto Araie
Summary
HFA 24-2 results could be predicted using the paired HFA 10-2 results with reasonable accuracy using LASSO in patients with advanced glaucoma.
Abstract
PURPOSE
To predict Humphrey Field Analyzer 24-2 test (HFA 24-2) results using 10-2 results.
METHODS
A total of 175 advanced glaucoma eyes (175 patients) with HFA 24-2 mean deviation (MD24-2) of < -20 dB were prospectively followed up for five years using HFA 10-2 and 24-2 (twice and once in a year, respectively). Using all the HFA 24-2 and 10-2 test result pairs measured within three months (350 pairs from 85 eyes, training dataset), a formula to predict HFA 24-2 result using HFA 10-2 results was constructed using least absolute shrinkage and selection operator regression (LASSO). Using 90 different eyes (testing dataset), the absolute differences between the actual and LASSO-predicted MD24-2 and that between the slopes calculated using five actual and LASSO-predicted MD24-2 values, were adopted as the prediction error. Similar analyses were performed for the mean total deviation values (mTD) of the superior (or inferior) hemifield [hemi-mTDsup.24-2(-hemi-mTDinf.24-2)].
RESULTS
The prediction error for the LASSO-predicted MD24-2 and its slope were 2.98 (standard deviation [SD] = 1.90) dB and 0.32 (0.33) dB/yr, respectively. The LASSO-predicted hemi-mTDsup.24-2 (hemi-mTDinf.24-2), and its slope were 3.02 (2.89) and 3.76 (2.72) dB, and 0.37 (0.41) and 0.44 (0.38) dB/year, respectively. These prediction errors were within two times SD of repeatability of the simulated stable HFA 24-2 VF parameter series.
CONCLUSIONS
HFA 24-2 results could be predicted using the paired HFA 10-2 results with reasonable accuracy using LASSO in patients with advanced glaucoma.
TRANSLATIONAL RELEVANCE
It is useful to predict HFA24-2 test from HFA10-2 test, when the former is not available, in advanced glaucoma.
More by Ryo Asaoka
View full profile →Using Deep Learning and Transfer Learning to Accurately Diagnose Early-Onset Glaucoma From Macular Optical Coherence Tomography Images.
Detection of Longitudinal Visual Field Progression in Glaucoma Using Machine Learning.
Validation of a Deep Learning Model to Screen for Glaucoma Using Images from Different Fundus Cameras and Data Augmentation.
Top Research in Visual Field
Browse all →Optical coherence tomography angiography: A comprehensive review of current methods and clinical applications.
Relationship between Optical Coherence Tomography Angiography Vessel Density and Severity of Visual Field Loss in Glaucoma.
Improving our understanding, and detection, of glaucomatous damage: An approach based upon optical coherence tomography (OCT).
In the Knowledge Library
Discussion
Comments and discussion will appear here in a future update.