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Biometry-Guided IOL Formula Selection in Post-Laser Vision Correction Eyes
David L Cooke1,2, Jascha A Wendelstein3,4,5, Kamran M Riaz6
1From Great Lakes Eye Care, St. Joseph, Michigan.
Journal of Refractive Surgery (Thorofare, N.J. : 1995)
|August 10, 2026
Summary
Hyperopic laser vision correction (LVC) formulas offer the most accurate refractive outcomes in post-LVC eyes, regardless of treatment type. Objective biometry can guide intraocular lens formula selection for improved results when history is unreliable.
Area of Science:
- Ophthalmology
- Biomedical Engineering
Background:
- Accurate intraocular lens (IOL) power calculation is crucial for refractive outcomes after laser vision correction (LVC).
- Determining the precise LVC type can be challenging in some post-operative eyes, complicating IOL formula selection.
Purpose of the Study:
- To evaluate if objective biometry can guide IOL formula selection in post-LVC eyes with indeterminate LVC classification (TKave - Kave = 0.00 to 0.06).
- To compare the refractive accuracy of various contemporary LVC intraocular lens formula strategies.
Main Methods:
- Analysis of 507 post-LVC eyes (myopic and hyperopic) using swept-source optical coherence tomography biometry.
- Calculation of refractive prediction errors for 22 formulas (8 hyperopic LVC, 8 myopic LVC, 6 non-LVC).
- Assessment of formula performance via root mean square error and heteroscedasticity testing.
Main Results:
- Hyperopic LVC formulas demonstrated superior refractive accuracy across all analyzed eyes.
- Pearl DGS and Barrett True K No-History (hyperopic LVC) formulas achieved the highest proportion of eyes within ±0.50 D of target refraction.
- K-based hyperopic LVC formulas outperformed those using posterior K or total keratometry (TK).
Conclusions:
- Hyperopic LVC formulas provide the most accurate refractive outcomes in post-LVC eyes with indeterminate classification.
- A measurement-driven approach using biometry for formula selection improves outcomes when historical LVC data is unreliable.
- Findings challenge the reliance on historical LVC classification for formula selection in ambiguous cases.