Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Normal Values for <sup>13</sup>N-Ammonia PET-derived Metrics in Heart Transplant Patients.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology·2026
Same author

Intraocular Pressure Measurement Variability in the Ocular Hypertension Treatment Study.

Ophthalmology. Glaucoma·2026
Same author

Toward Long-Term Visual Field Appearance Forecasting Using Artificial Intelligence for Ophthalmic Education and Diagnosis.

Ophthalmology science·2026
Same author

Reply.

Ophthalmology science·2026
Same author

Visual Field Testing on the Envision Head-Mounted Perimeter with and without Gaming Elements.

Ophthalmology. Glaucoma·2026
Same author

Larger Real-World OCT Reference Database Improves Accuracy of Glaucoma Flagging Using Summary Metrics.

Translational vision science & technology·2026

Related Experiment Video

Updated: Dec 11, 2025

Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential
07:11

Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential

Published on: May 25, 2020

6.7K

An Automated Method for Assessing Topographical Structure-Function Agreement in Abnormal Glaucomatous Regions.

Emmanouil Tsamis1, Nikhil K Bommakanti2, Ashley Sun1

  • 1Department of Psychology, Columbia University, New York, NY, USA.

Translational Vision Science & Technology
|August 21, 2020
PubMed
Summary

This study presents an automated method to compare optical coherence tomography (OCT) and visual field (VF) test results in early glaucoma. The new technique objectively assesses structure-function agreement, improving glaucoma diagnosis.

Keywords:
functionglaucomaoptical coherence tomographyperimetrystructurevisual fields

More Related Videos

Quantification of Optic Nerve Cross Sectional Area on MRI: A Novel Protocol using Fiji Software
08:57

Quantification of Optic Nerve Cross Sectional Area on MRI: A Novel Protocol using Fiji Software

Published on: September 4, 2021

4.4K
Using Retinal Imaging to Study Dementia
09:17

Using Retinal Imaging to Study Dementia

Published on: November 6, 2017

22.1K

Related Experiment Videos

Last Updated: Dec 11, 2025

Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential
07:11

Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential

Published on: May 25, 2020

6.7K
Quantification of Optic Nerve Cross Sectional Area on MRI: A Novel Protocol using Fiji Software
08:57

Quantification of Optic Nerve Cross Sectional Area on MRI: A Novel Protocol using Fiji Software

Published on: September 4, 2021

4.4K
Using Retinal Imaging to Study Dementia
09:17

Using Retinal Imaging to Study Dementia

Published on: November 6, 2017

22.1K

Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Computational Biology

Background:

  • Glaucoma diagnosis relies on correlating structural damage (OCT) with functional vision loss (VF).
  • Current methods for assessing structure-function agreement can be subjective.
  • Objective and automated tools are needed for accurate early glaucoma detection.

Purpose of the Study:

  • To develop an automated and objective method for comparing abnormal regions on optical coherence tomography (OCT) and visual field (VF) tests in early glaucoma.
  • To establish criteria for assessing structure-function agreement in glaucoma patients.

Main Methods:

  • A custom R program was created to visualize and automatically assess topographical agreement between OCT and VF deviation/probability maps.
  • The program was optimized using data from 98 eyes (53 with glaucoma, 45 healthy controls).
  • Various criteria for abnormal OCT and VF results were evaluated to define optimal detection parameters.

Main Results:

  • A criterion of two abnormal structure-abnormal function locations (OCT <10% and VF <5%) achieved 92% overall agreement.
  • This criterion demonstrated high agreement in glaucoma eyes (89%) and high non-agreement in healthy eyes (95%).
  • Pattern deviation maps performed slightly better than total deviation probability maps.

Conclusions:

  • The developed method enables automatic and objective evaluation of structure-function agreement by directly comparing abnormal regions.
  • This technique can enhance the objectivity of glaucoma diagnosis by overcoming subjective assessments.