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

Clinical Outcomes and Risk Factors for Surgical Failure Following Baerveldt Glaucoma Implant Surgery as a Primary Filtering Procedure.

Journal of clinical medicine·2026
Same author

Choroidal Detachment After Baerveldt Glaucoma Implant Surgery: Incidence and Risk Factors.

Clinical ophthalmology (Auckland, N.Z.)·2026
Same author

Usefulness of the Entropy of the Bayesian Posterior Distribution of the Threshold to Assess the Reliability of Measured Visual Field.

Current eye research·2026
Same author

Effects of Ripasudil Hydrochloride Hydrate-Brimonidine Tartrate Fixed-Dose Combination Using Rho Kinase Inhibitor and Alpha2 Adrenergic Receptor Agonist on Aqueous Column in the Episcleral Vein: A Randomized, Double-Masked, Crossover Clinical Trial (ROCK Alpha-Aqua Study).

Journal of clinical medicine·2026
Same author

Effect of 2,2,2-trifluoroethyl methacrylate on the gelation characteristics of light-cured soft denture liners based on 2-ethylhexyl methacrylate and acetyl tributyl citrate.

Dental materials journal·2026
Same author

Risk Factors for Postoperative Hyphema Following Baerveldt Glaucoma Implant Surgery: A Retrospective Cohort Study.

Journal of clinical medicine·2026

Related Experiment Video

Updated: Jan 15, 2026

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing
06:25

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

Published on: February 23, 2024

1.1K

Comparison of the Variational Bayes Linear Regression Visual Field Test Algorithms and the Swedish Interactive

Kazunori Hirasawa1, Yuki Sanada2, Ryohei Komori2

  • 1Department of Ophthalmology, Kitasato University School of Medicine, Kanagawa, Japan.

Ophthalmology. Glaucoma
|October 15, 2025
PubMed
Summary
This summary is machine-generated.

New variational Bayes linear regression visual field (VF) algorithms significantly reduce testing time for glaucoma patients compared to Swedish Interactive Threshold Algorithm (SITA) Standard, with comparable repeatability.

Keywords:
GlaucomaVariational Bayes linear regressionVisual field

More Related Videos

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

6.8K
A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision
09:29

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision

Published on: February 11, 2014

13.5K

Related Experiment Videos

Last Updated: Jan 15, 2026

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing
06:25

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

Published on: February 23, 2024

1.1K
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

6.8K
A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision
09:29

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision

Published on: February 11, 2014

13.5K

Area of Science:

  • Ophthalmology
  • Medical Technology

Background:

  • Glaucoma diagnosis relies on accurate visual field (VF) testing.
  • Swedish Interactive Threshold Algorithm (SITA) Standard is a common VF testing method.
  • Variational Bayes linear regression (VBLR) algorithms offer potential improvements in VF testing.

Purpose of the Study:

  • To compare 10-2 visual field (VF) test results between SITA Standard and VBLR-VF algorithms in glaucoma patients.
  • To evaluate the performance of VBLR-VF, VBLR-VF Fast, and VBLR-VF Fast+ against SITA Standard.

Main Methods:

  • A multicenter prospective observational cohort study involving 133 glaucoma patients.
  • Comparison of SITA Standard with three VBLR-VF algorithms (VBLR-VF, VBLR-VF Fast, VBLR-VF Fast+) using the 10-2 test program.
  • Evaluation of mean deviation (MD), pattern standard deviation (PSD), pointwise VF sensitivity, repeatability (RMSE), and test duration.

Main Results:

  • VBLR-VF algorithms significantly reduced test duration (12.2%–46.3%) compared to SITA Standard.
  • No significant difference in test-retest repeatability (RMSE) was observed.
  • Minor, sometimes significant, differences in VF sensitivity were noted between VBLR-VF algorithms and SITA Standard.

Conclusions:

  • VBLR-VF algorithms substantially decrease testing time while maintaining VF test repeatability.
  • These algorithms present a viable alternative for glaucoma visual field testing, with minor variations in sensitivity.