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 Experiment Videos

Three-dimensional optic nerve head algorithm for the detection of glaucomatous damage.

M Iester1, M Rolando, A Macrì

  • 1Department of Neurological and Visual Sciences, Ophthalmology B, University of Genoa, Italy. iester@csita.unige.it

Graefe'S Archive for Clinical and Experimental Ophthalmology = Albrecht Von Graefes Archiv Fur Klinische Und Experimentelle Ophthalmologie
|August 28, 2001
PubMed
Summary

A novel 3D optic nerve head (ONH) algorithm effectively distinguishes normal from glaucomatous visual fields. This cup shape measure shows high sensitivity and specificity when used with stereoscopic ONH analysis systems.

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

Prognostic value of specific KRAS mutations in patients with colorectal peritoneal metastases.

ESMO open·2024
Same author

In Vivo Confocal Microscopy Characterization of Candida parapsilosis Keratitis.

Eye & contact lens·2024
Same author

Association of Dry Eye with Laryngopharyngeal Reflux in Clinical Practice. Reply to Lechien et al.

Current eye research·2021
Same author

Association of Dry Eye with Laryngopharyngeal Reflux in Clinical Practice.

Current eye research·2021
Same author

An update on ripasudil for the treatment of glaucoma and ocular hypertension.

Drugs of today (Barcelona, Spain : 1998)·2020
Same author

Dry eye disease treatment: the role of tear substitutes, their future, and an updated classification.

European review for medical and pharmacological sciences·2020

Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Glaucoma Diagnosis

Background:

  • Glaucoma diagnosis relies on differentiating optic nerve head (ONH) morphology.
  • Accurate ONH analysis is crucial for early glaucoma detection and management.
  • Stereoscopic computerised ONH analysers are increasingly used in clinical practice.

Purpose of the Study:

  • To evaluate the efficacy of a 3D optic nerve head (ONH) algorithm in differentiating normal ONH from glaucomatous ONH.
  • To assess the utility of this algorithm when employed with a simultaneous stereoscopic computerised ONH analyser.

Main Methods:

  • A 3D optic nerve head (ONH) algorithm, specifically the third moment or cup shape measure, was applied to topographic data.
  • Data were collected from 45 normal subjects and 55 glaucoma patients using the Topcon Image-net system.

Related Experiment Videos

  • Statistical analysis involved the Mann-Whitney U test and receiver operator characteristic curves.

    • Main Results:

    • The 3D ONH algorithm achieved a sensitivity of 90.6% and a specificity of 85.1%.
    • No significant differences were observed in age, disc area, or the number of analyzed points between the groups.
    • The algorithm demonstrated robust performance in classifying ONH status.

    Conclusions:

    • The cup shape measure (third moment) algorithm is a valuable tool for distinguishing normal from abnormal visual fields.
    • This 3D ONH algorithm is effective even when used in conjunction with stereoscopic systems like Image-net.
    • The findings support the use of this algorithm for improved glaucoma assessment.