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Related Concept Videos

Glaucoma: Overview01:25

Glaucoma: Overview

599
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...
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Open Angle Glaucoma: Treatment01:27

Open Angle Glaucoma: Treatment

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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...
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Angle Closure Glaucoma: Treatment01:28

Angle Closure Glaucoma: Treatment

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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...
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Related Experiment Video

Updated: Jul 12, 2025

Full-Circle Cauterization of Limbal Vascular Plexus for Surgically Induced Glaucoma in Rodents
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Classifying glaucoma exclusively with OCT: comparison of three clustering algorithms derived from machine learning.

Marc Biarnés1,2, Néstor Ventura-Abreu3,4,5, Ignacio Rodríguez-Una6

  • 1Oftalmologia Mèdica i Quirúrgica (OMIQ) Research, Sant Cugat del Vallès, Spain.

Eye (London, England)
|October 19, 2023
PubMed
Summary

Machine learning accurately classifies glaucoma using spectral-domain optical coherence tomography (SD-OCT) data. Model-based clustering (MBC) achieved 96.1% accuracy in distinguishing healthy from glaucomatous eyes based on retinal nerve fiber layer (RNFL) and ganglion cell-inner plexiform layer (GCIPL) measurements.

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Area of Science:

  • Ophthalmology and Biomedical Engineering
  • Artificial Intelligence in Medical Diagnostics

Background:

  • Glaucoma diagnosis relies on various clinical parameters.
  • Spectral-domain optical coherence tomography (SD-OCT) provides detailed retinal imaging.
  • Objective classification of glaucoma using SD-OCT data is an area of active research.

Purpose of the Study:

  • To objectively classify eyes as healthy or glaucomatous using only SD-OCT measurements.
  • To evaluate the efficacy of machine learning algorithms, specifically clustering methods, for glaucoma detection.
  • To utilize peripapillary retinal nerve fiber layer (pRNFL) and ganglion cell-inner plexiform layer (GCIPL) data for classification.

Main Methods:

  • Three clustering algorithms (k-means, hierarchical cluster analysis [HCA], and model-based clustering [MBC]) were applied to 13 SD-OCT parameters.
  • A training set of 109 eyes was classified as healthy or glaucomatous.
  • The best-performing algorithm (MBC) was validated on an independent test set of 102 eyes.

Main Results:

  • Model-based clustering (MBC) achieved the highest accuracy (91.7%) in the training sample.
  • In the independent test sample, MBC demonstrated a 96.1% overall accuracy, with 94.3% sensitivity and 100% specificity.
  • Accuracy for pRNFL measurements was 92.2%, and for GCIPL measurements was 98.0%.

Conclusions:

  • Clustering algorithms, particularly MBC, show significant promise for discriminating between healthy and glaucomatous eyes using SD-OCT data.
  • This approach offers an objective method for glaucoma assessment based solely on structural measurements.
  • Further understanding of these methods may provide insights into the pathophysiology of glaucoma.