Implantable collamer lens sizing optimization based on the anterion AS-OCT biometric parameters
Ramin Salouti1,2, Mostafa Nazarpour-Servak1, Mohamad Mehdi Dehghani1
1Poostchi Ophthalmology Research Center, Department of Ophthalmology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Eye (London, England)
|March 11, 2025
Summary
A new regression formula accurately predicts Implantable Collamer Lens (ICL) size using anterior segment optical coherence tomography data. This improves ICL sizing and aims for better surgical outcomes.
Area of Science:
- Ophthalmology
- Biomedical Engineering
- Medical Imaging
Background:
- Accurate sizing of Implantable Collamer Lenses (ICLs) is crucial for refractive outcomes.
- Current methods for ICL sizing may have limitations.
- Anterior segment optical coherence tomography (AS-OCT) provides detailed biometric data.
Purpose of the Study:
- To develop and validate regression formulas for optimal ICL sizing using Anterion AS-OCT data.
- To predict postoperative ICL vault based on biometric parameters.
- To compare the performance of the new formula with existing methods.
Main Methods:
- Retrospective case series involving 89 patients for development and 57 for validation.
- Development of the SN (Salouti-Nowroozzadeh) formula using multiple stepwise linear regression.
- Analysis of anterior chamber width (ACW), lens thickness, and anterior chamber volume (ACV).
- Prediction of ICL vault using a cubic non-linear model and the difference (Delta) between implanted and predicted ICL size.
- External validation using 73 prospective cases.
Main Results:
- The SN formula demonstrated an R-square of 0.602 for ICL size prediction.
- Delta was the sole independent predictor of postoperative ICL vault.
- A Delta of 0.3 mm yielded a 65% probability of optimal vault; 0.15 mm yielded 80%.
- The SN formula achieved 69.9% concordance with the STAAR nomogram.
- Mean absolute error for SN-predicted vault was 191 µm, with 63.7% of eyes within ±200 µm.
Conclusions:
- The developed SN regression formula provides acceptable predictions for ICL sizing.
- The formula's efficacy may differ across populations and devices.
- The study underscores the need for smaller ICL size increments to enhance postoperative results.


