Predictive value of enhanced corneal biomechanical parameters for ectasia progression

Area of Science:

• Ophthalmology
• Corneal Imaging
• Biomechanical Analysis

Background:

• Keratoconus (KC) and suspected KC require accurate progression prediction.
• Early detection of ectasia progression is crucial for timely intervention.

Purpose of the Study:

• To evaluate if baseline corneal biomechanical parameters can predict ectasia progression in young KC patients.
• To compare the predictive value of various tomographic and biomechanical indices.

Main Methods:

• Retrospective observational study of 64 eyes from 41 young patients (<25 years) with KC or suspected KC.
• Analysis of Scheimpflug-based corneal biomechanical parameters and tomographic indices (e.g., TBIv2, BAD-D).
• Eyes were classified into progressed (P) and non-progressed (NP) groups based on the ABCD grading system.

Main Results:

• Logistic regression identified age, BAD-D, and TBIv2 as predictors of ectasia progression.
• TBIv2 combined with age demonstrated high sensitivity (0.82) and AUROC (0.82) for predicting progression.
• BAD-D combined with age showed high specificity (0.82) and AUROC (0.83).

Conclusions:

• Baseline TBIv2 is a promising marker for predicting ectasia progression in young patients.
• Baseline BAD-D is valuable for definitive diagnosis of ectasia.
• Combining tomographic and biomechanical data improves predictive accuracy.