Improved prediction of intraocular lens power using partial coherence interferometry

Area of Science:

• Ophthalmology
• Biomedical Engineering
• Optical Physics

Background:

• Cataract surgery requires precise intraocular lens (IOL) power calculation for optimal visual outcomes.
• Traditional biometry methods, such as applanation ultrasound (US), have limitations in accuracy.
• Advancements in optical biometry aim to enhance the precision of IOL power prediction.

Purpose of the Study:

• To evaluate the feasibility of dual-beam partial coherence interferometry (PCI) for improving IOL power prediction.
• To compare the accuracy of PCI biometry with applanation ultrasound (US) biometry in IOL power calculation.
• To assess the impact of PCI on refractive outcomes in cataract surgery.

Main Methods:

• Compared preoperative axial length (AL) data from PCI and US biometry in 77 eyes.
• Applied data to four common IOL power formulas and calculated refractive outcomes and mean absolute error (MAE).
• Developed a regression model using PCI data to predict postoperative anterior chamber depth (ACD) and integrated it into the SRK/T formula.

Main Results:

• PCI biometry significantly improved refractive outcomes across all four IOL power formulas compared to US biometry.
• The Holladay I and SRK/T formulas showed lower MAE (0.44 D) with PCI data versus US data (0.56-0.57 D).
• A modified SRK/T formula incorporating PCI-predicted ACD achieved a slightly better MAE (0.42 D).

Conclusions:

• Partial coherence interferometry (PCI) biometry provides significantly better IOL power prediction and refractive outcomes than ultrasound (US) biometry in cataract surgery.
• Integrating PCI-derived anterior chamber depth predictions into formulas like SRK/T can further enhance accuracy.
• PCI represents a promising advancement for optimizing surgical planning and patient results in refractive cataract surgery.