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Related Concept Videos

Glaucoma: Overview01:25

Glaucoma: Overview

699
Glaucoma is an eye condition characterized by increased intraocular pressure that damages the retina and optic nerve, leading to irreversible blindness if left untreated. The human eye has various components, including the cornea, iris, pupil, lens, and optic nerve. Aqueous humor is secreted by the epithelium of the ciliary body in the posterior chamber and flows through the trabecular meshwork and canal of Schlemm, maintaining normal intraocular pressure. The trabecular meshwork and the canal...
699
Open Angle Glaucoma: Treatment01:27

Open Angle Glaucoma: Treatment

527
In open-angle glaucoma, the iridocorneal angle remains open, but the trabecular meshwork becomes stiff, slowing down the outflow of aqueous humor. This causes a buildup of aqueous humor in the anterior chamber, leading to a sudden increase in intraocular pressure. The treatment for open-angle glaucoma focuses on reducing the elevated intraocular pressure by either decreasing the secretion of aqueous humor or increasing its outflow.
Drugs such as carbonic anhydrase inhibitors, α2- and...
527
Angle Closure Glaucoma: Treatment01:28

Angle Closure Glaucoma: Treatment

623
Angle-closure glaucoma, or closed-angle glaucoma, is an eye condition where the iris bulges out and blocks the iridocorneal angle, resulting in a buildup of aqueous humor and increased intraocular pressure. Immediate medical attention is necessary due to the sudden onset of symptoms. The treatment for angle-closure glaucoma includes short-term and long-term approaches. Short-term treatment involves using eye drops like pilocarpine to lower intraocular pressure by increasing aqueous humor...
623

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Updated: Aug 26, 2025

Full-Field Optical Coherence Microscopy for Histology-Like Analysis of Stromal Features in Corneal Grafts
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Suspect glaucoma detection from corneal densitometry supported by machine learning.

Andrés García-Jiménez1, Alejandra Consejo1

  • 1Department of Applied Physics, University of Zaragoza, Zaragoza, Spain.

Journal of Optometry
|October 9, 2022
PubMed
Summary
This summary is machine-generated.

Corneal densitometry, using brightness (α) and homogeneity (β) parameters, can help identify glaucoma risk. Machine learning models achieved 83.93% accuracy in distinguishing suspect glaucomatous eyes from healthy ones.

Keywords:
Corneal densitometryImage processingMachine learningSuspect glaucoma

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Area of Science:

  • Ophthalmology
  • Biomedical Optics
  • Medical Imaging

Background:

  • Glaucoma is a leading cause of irreversible blindness.
  • Early detection of glaucoma is crucial for effective management.
  • Corneal properties may offer insights into glaucoma risk.

Purpose of the Study:

  • To evaluate the efficacy of corneal densitometry using Scheimpflug imaging for discriminating between suspect glaucomatous and control eyes.
  • To assess the potential of statistical modeling of corneal pixel intensity distribution for glaucoma risk assessment.

Main Methods:

  • Retrospective analysis of Scheimpflug images from 24 participants (10 suspect glaucomatous, 14 control).
  • Statistical modeling of corneal pixel intensities to derive densitometry parameters: α (brightness) and β (homogeneity).
  • Application of six supervised machine learning algorithms (including K-nearest neighbors) using α and β for classification.

Main Results:

  • Statistically significant differences in α and β parameters were observed between suspect glaucomatous and control eyes (P < 0.05/N, Bonferroni corrected).
  • The K-nearest neighbors algorithm achieved 83.93% accuracy in discriminating between the two groups using only corneal densitometry parameters.

Conclusions:

  • Corneal densitometry, specifically parameters derived from anterior cornea and epithelium, shows promise as a standalone clinical tool.
  • This method has the potential for early glaucoma risk assessment, aiding in timely intervention.