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Predictive Modeling of Cycloplegic Refraction Using Non-Cycloplegia Ocular Parameters With Emphasis on Lens-Related

Qiang Su1,2, Bei Du1, Bingqin Li1

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This study developed a predictive model for refraction after cycloplegia using non-cycloplegia ocular and lens-related features. The model incorporating lens features significantly improved refractive prediction accuracy in children.

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Area of Science:

  • Ophthalmology
  • Optometry
  • Biomedical Engineering

Background:

  • Accurate prediction of refractive error after cycloplegia is crucial for pediatric eye care.
  • Cycloplegia, while effective, can be associated with complications and discomfort.
  • Leveraging non-cycloplegia parameters offers a potential alternative for refractive assessment.

Purpose of the Study:

  • To develop and evaluate a predictive model for post-cycloplegia refraction.
  • To investigate the impact of lens-related ocular parameters on refractive prediction.
  • To compare models with and without lens-related features for improved accuracy.

Main Methods:

  • Developed four models for spherical refraction prediction in 153 children (4-15 years old).
  • Utilized non-cycloplegia ocular parameters including intraocular pressure and optical biometry.
  • Incorporated lens-related features (e.g., lens diopter, anterior curvature radius, thickness) and employed XGBoost with LASSO regression.

Main Results:

  • The predictive model incorporating lens-related features significantly outperformed the control model.
  • The IOL of contact lens algorithm (IOLcl) model achieved the highest accuracy (r2=0.964, MSE=0.241, RMSE=0.472, MAE=0.307).
  • Lens-related features were identified as significant predictors of refraction.

Conclusions:

  • Lens-related features are critical for developing robust predictive models of post-cycloplegia refraction.
  • The developed model offers a promising, potentially less invasive method for refractive assessment.
  • This approach may enhance clinical vision screening and reduce cycloplegia-associated complications.