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Angle Closure Glaucoma: Treatment01:28

Angle Closure Glaucoma: Treatment

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 8, 2026

Murine Corneal Transplantation: A Model to Study the Most Common Form of Solid Organ Transplantation
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Individual Risk Assessment and Prognostication of Outcomes After Corneal Cross-Linking.

Y Statsenko1,2, K Liaonchyk3, D Morozova3

  • 1Imaging Platform, ASPIRE Precision Medicine Research Institute Abu Dhabi, Al Ain, UAE.

Journal of Ophthalmology
|July 9, 2025
PubMed
Summary

Preoperative corneal measurements can predict the success of corneal collagen cross-linking (CXL) for keratoconus (KC). Thin corneas, poor vision, and high Kmax indicate less favorable CXL outcomes, guiding personalized treatment selection.

Keywords:
corneal collagen cross-linkingexplainable artificial intelligenceintervention outcomekeratoconuskeratometry readingsmachine learningprecision medicinepredictive model

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Area of Science:

  • Ophthalmology
  • Biomedical Engineering
  • Corneal Science

Background:

  • Keratoconus (KC) is a progressive corneal disease.
  • Corneal collagen cross-linking (CXL) is a standard treatment to halt KC progression.
  • Patient responses to CXL vary significantly, necessitating predictive markers.

Purpose of the Study:

  • To identify preoperative diagnostic findings that predict the efficacy of CXL in keratoconus patients.
  • To develop models for prognostication of CXL treatment outcomes.
  • To enable personalized selection of candidates for CXL therapy.

Main Methods:

  • Retrospective analysis of 107 patients (112 eyes) treated with CXL.
  • Inclusion of preoperative and postoperative data including clinical assessment, pachymetry, visiometry, refractometry, and topography.
  • Modeling of maximum anterior keratometry (Kmax) and corneal curvature coefficients (K1, K2).

Main Results:

  • Corneal curvature coefficients showed a progressive decrease post-CXL, stabilizing, then rising.
  • Models for K1, K2, and Kmax demonstrated high accuracy with low mean absolute errors (1.72%, 3.66%, 2.37%).
  • Pronounced corneal thinning, low best-corrected visual acuity, and high Kmax levels were associated with unfavorable outcomes.

Conclusions:

  • Preoperative diagnostic findings, particularly corneal thinning, visual acuity, and Kmax, are accurate predictors of CXL outcomes.
  • Developed models support personalized patient selection for CXL.
  • Accurate prognostication can optimize CXL treatment strategies for keratoconus.