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Published on: September 16, 2025
Swept-Source OCT Biometry-Derived Corneal Optical Quality: Repeatability Limits for IOL Design Selection in
Stefan Georgiev1, Manuel Ruiss1, Rainer A Leitgeb2
1Vienna Institute for Research in Ocular Surgery, Hanusch Hospital, Vienna, Austria and.
Summary
Swept-source optical coherence tomography (SS-OCT) biometry reliably measures corneal optical quality for cataract surgery. These metrics aid intraocular lens selection, but repeatability limits must be considered for accurate clinical decisions.
Area of Science:
- Ophthalmology
- Biomedical Engineering
- Optical Metrology
Background:
- Accurate corneal optical quality assessment is crucial for refractive cataract surgery.
- Intraocular lens (IOL) selection and surgical outcomes depend on precise biometric data.
- Swept-source optical coherence tomography (SS-OCT) offers advanced biometry capabilities.
Purpose of the Study:
- To evaluate the reliability of corneal optical quality metrics derived from SS-OCT biometry.
- To assess the impact of these metrics on intraocular lens design selection in refractive cataract surgery.
- To provide the first reliability analysis of SS-OCT biometry for corneal optical quality.
Main Methods:
- Retrospective instrument evaluation of SS-OCT biometer (ANTERION) scans.
- Analysis of corneal higher order aberrations (HOAs) using Zernike polynomial decomposition.
- Calculation of repeatability metrics including pooled within-subject standard deviation (Sw), coefficient of variation, and intraclass correlation coefficient (ICC).
Main Results:
- High repeatability for anterior, posterior, and total HOAs with repeatability limits below 0.10 µm at a 4-mm optical zone.
- Excellent intraclass correlation coefficients (ICCs) ranging from 0.76 to 0.97.
- Root mean square HOA and spherical aberration showed strong repeatability (ICC: 0.89 and 0.84, respectively).
Conclusions:
- SS-OCT biometry reliably characterizes corneal optical quality at clinically relevant zones.
- Repeatability limits are essential for informed IOL design selection and outcome-based research.
- Measurement uncertainty necessitates consideration of repeatability data in clinical decision-making.