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Updated: Nov 25, 2025

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Determining Progression in Ectatic Corneal Disease.

Michael W Belin1, Reza Alizadeh1, Emilio A Torres-Netto2,3,4

  • 1University of Arizona, Department of Ophthalmology & Visual Science, Tucson, AZ.

Asia-Pacific Journal of Ophthalmology (Philadelphia, Pa.)
|December 16, 2020
PubMed
Summary
This summary is machine-generated.

The Belin ABCD classification system aids in early keratoconus detection using tomographic imaging. This system helps identify progressive corneal ectasia sooner, enabling timely intervention to preserve vision.

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Area of Science:

  • Ophthalmology
  • Corneal Imaging
  • Refractive Surgery

Background:

  • Traditional diagnosis of ectatic disease was limited to advanced stages, often after visual impairment.
  • Corneal cross-linking (CXL) emerged as a treatment to halt keratoconus progression, increasing the need for early detection methods.
  • Existing methods for tracking keratoconus progression lacked standardization.

Purpose of the Study:

  • To introduce and validate the Belin ABCD classification/staging system for diagnosing and monitoring ectatic corneal diseases.
  • To enable earlier detection of subclinical or early-stage keratoconus.
  • To provide a tool for clinicians to confidently diagnose progressive disease and intervene earlier.

Main Methods:

  • Utilized Scheimpflug imaging (Pentacam) to gather data for the ABCD system.
  • The ABCD system incorporates four parameters: Anterior curvature (A), posterior curvature (B), minimal corneal thickness (C), and best spectacle visual acuity (D).
  • Objective measurements (A, B, C) are used to track changes over time, with the ABCD Progression Display visualizing statistical changes.

Main Results:

  • The ABCD system allows for the detection of earlier ectatic disease before significant visual loss or subjective complaints.
  • Objective parameters (A, B, C) provide quantifiable data for assessing disease progression.
  • The ABCD Progression Display highlights statistically significant changes, indicating progression.

Conclusions:

  • The Belin ABCD classification system, integrated with tomographic imaging, significantly improves the early diagnosis of progressive keratoconus.
  • This system empowers clinicians to identify disease progression earlier than previously possible.
  • Early diagnosis and intervention facilitated by the ABCD system can help prevent irreversible visual loss.