Predictive Accuracy of the Hill-RBF 2.0 Formula in Pediatric Eyes: Comparison of 5 Intraocular Lens Formulas

Insights

The Hill-Radial Basis Function (Hill-RBF) 2.0 formula shows comparable accuracy to other methods for predicting intraocular lens power in pediatric eyes. This artificial intelligence-based approach is non-inferior to established formulas, offering a promising alternative for pediatric cataract surgery outcomes.

Area of Science:

  • Ophthalmology
  • Biomedical Engineering
  • Artificial Intelligence in Medicine

Background:

  • Accurate intraocular lens (IOL) power prediction is crucial for successful pediatric cataract surgery.
  • Existing IOL calculation formulas may have limitations in pediatric populations due to unique ocular characteristics.
  • The Hill-Radial Basis Function (Hill-RBF) 2.0 formula, an AI-driven approach, offers a novel method for IOL power calculation.

Purpose of the Study:

  • To evaluate and compare the predictive accuracy of the Hill-RBF 2.0 formula against established formulas (Barrett Universal II, Hoffer Q, SRK/T, Holladay 1) for IOL power calculation in pediatric eyes.
  • To determine if the Hill-RBF 2.0 formula is non-inferior to other commonly used formulas in a pediatric cohort.

Main Methods:

  • An observational study included 99 eyes of 70 children (4-18 years) with congenital or developmental cataracts.
  • Optical biometry was performed using the Lenstar LS-900.
  • Mean Absolute Prediction Error (MAE) and the percentage of eyes within specific residual refractive error targets (±0.50 D, ±0.50 to ±1.00 D, >±1.00 D) were calculated for Hill-RBF 2.0, Barrett Universal II, Hoffer Q, SRK/T, and Holladay 1 formulas at 8 weeks post-surgery.

Main Results:

  • The Hill-RBF 2.0 formula demonstrated the lowest Mean Absolute Error (MAE) of 1.08 ± 1.00 D.
  • The MAE for Hill-RBF 2.0 was significantly lower than for Holladay 1 and Hoffer Q formulas.
  • No statistically significant difference in MAE was found between Hill-RBF 2.0 and the Barrett Universal II or SRK/T formulas.
  • The Hill-RBF 2.0 group achieved the highest percentage of eyes with residual refractive error within ±0.50 D.

Conclusions:

  • The Hill-RBF 2.0 formula, utilizing artificial intelligence and independent of specific anatomical features, is non-inferior to the Barrett Universal II, Hoffer Q, SRK/T, and Holladay 1 formulas in pediatric eyes.
  • The findings suggest that the Hill-RBF 2.0 formula is a reliable option for IOL power prediction in pediatric cataract surgery.
  • Further research may explore the long-term outcomes and broader applicability of AI-based IOL calculation formulas in pediatric ophthalmology.
Abstract