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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: May 28, 2025

Three Different Protocols of Corneal Collagen Crosslinking in Keratoconus: Conventional, Accelerated and Iontophoresis
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[KERATOCONUS: DIAGNOSIS AND INNOVATIONS].

Nir Erdinest1, Dror Ben Ephraim-Noyman2, Or Shmueli1

  • 1Department of Ophthalmology, Hadassah-Hebrew University Medical Center, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem.

Harefuah
|February 11, 2025
PubMed
Summary

Early detection of keratoconus is crucial for timely treatment and preventing disease progression. Advances in corneal imaging and artificial intelligence significantly improve early diagnosis, enabling prompt intervention and better patient outcomes.

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Area of Science:

  • Ophthalmology
  • Corneal Diseases
  • Diagnostic Technologies

Background:

  • Keratoconus was historically underdiagnosed due to limited imaging technology, leading to late detection and severe complications like corneal transplants.
  • Early detection is vital for managing keratoconus, preventing progression, and planning family screening due to its genetic component.

Purpose of the Study:

  • To review the latest advancements in keratoconus diagnostic tools and strategies.
  • To highlight novel approaches for early detection and intervention in keratoconus.

Main Methods:

  • Review of current literature on keratoconus diagnosis.
  • Focus on advancements in molecular diagnostics, corneal imaging, and artificial intelligence applications.
  • Analysis of techniques including corneal topography, epithelial mapping, Bowman layer imaging, aberration analysis, and biomechanics.

Main Results:

  • Modern corneal imaging offers detailed visualization of corneal layers, aiding in detecting subtle ectatic changes.
  • Corneal biomechanics evaluation and analysis of anterior corneal aberrations enhance diagnostic accuracy.
  • Artificial intelligence integrated with imaging devices represents a significant frontier in early keratoconus detection.

Conclusions:

  • Novel diagnostic tools, particularly advanced imaging and AI, enable earlier and more accurate detection of keratoconus.
  • Early diagnosis facilitates timely interventions like corneal cross-linking, slowing disease progression.
  • Improved screening strategies are essential for individuals at risk and for preventing post-refractive surgery ectasia.