VISULYZE-assisted nomogram optimization enhances astigmatism correction accuracy in keratorefractive lenticule extraction: a stratified retrospective analysis.
VISULYZE-assisted nomogram optimization associated with more eyes reaching minimal residual astigmatism
VISULYZE-assisted nomogram optimization enhances astigmatism correction accuracy in keratorefractive lenticule extraction: a stratified retrospective analysis.
Keratorefractive lenticule extraction (keratorefractive lenticule extraction) commonly relies on empirical nomogram adjustments to improve refractive accuracy; however, astigmatism correction remains suboptimal.
This study compared VISULYZE-assisted nomogram optimization with empirical nomogram adjustment for spherical and astigmatic correction, using stratified vector analysis to quantify gains in precision.
This retrospective case-control study included 206 eyes that underwent keratorefractive lenticule extraction between December 2023 and July 2024 and completed a minimum 3-month follow-up.
73% of the control group achieved 20/16 or better ( P = 0.045).
SE within ±0.50 D was achieved in 100% of VISULYZE eyes and 94.4% of control eyes ( P = 0.017).
Stratified analysis showed consistent benefits: both the low-to-moderate and high astigmatism subgroups demonstrated significantly better SE accuracy and lower residual astigmatism with VISULYZE (both P < 0.05).
VISULYZE-assisted nomogram optimization improved the accuracy of both spherical and astigmatic correction in keratorefractive lenticule extraction, with consistent benefits across astigmatism severities.
This data-driven, iterative refinement paradigm may standardize nomogram development and may be particularly valuable for less experienced surgeons transitioning from empirical adjustment to evidence-based, dynamically optimized surgical planning.