Mathematical Modeling of IOL Power Changes After Pupil Dilation Based on Multifactorial Analysis

Area of Science:

• Ophthalmology
• Biomedical Engineering
• Optometry

Background:

• Age-related cataract surgery requires precise intraocular lens (IOL) power calculation.
• Pupil dilation, a common step in eye examinations, can induce biometric changes affecting IOL power.
• Understanding these changes is crucial for optimizing refractive outcomes post-surgery.

Purpose of the Study:

• To investigate factors influencing intraocular lens (IOL) power alterations following pupil dilation in patients with age-related cataracts.
• To develop linear regression models for predicting these IOL power changes.

Main Methods:

• 167 patients with age-related cataracts underwent biometric measurements before and after pupil dilation.
• Evaluated changes in axial length (AL), corneal curvature (K), anterior chamber depth (ACD), and other ocular parameters.
• Pearson correlation and regression analyses were used to model dilation-induced IOL power changes (ΔIOL) based on biometric shifts.

Main Results:

• Established prediction models for ΔIOL using various formulas (Haigis, Hoffer-Q, SRK-T, Holladay-1, Holladay-2, Barrett-II).
• Models indicated that changes in axial length (ΔAL) and corneal curvature (ΔK) are primary drivers of ΔIOL.
• ΔAL, ΔK, and white-to-white corneal diameter (ΔWTW) were identified as significant predictors of ΔIOL across different formulas.

Conclusions:

• Multivariate models confirm that axial length and corneal curvature changes significantly impact IOL power after dilation.
• The developed models utilizing ΔAL, ΔK, and ΔWTW can predict dilation-induced IOL power shifts.
• These findings can refine IOL power calculations, improving surgical outcomes for cataract patients.