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Focusing of Light in the Eye01:16

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Refractive Predictability Using the IOLMaster 700 and Artificial Intelligence-Based IOL Power Formulas Compared to

Huanhuan Cheng, Jack X Kane, Liangping Liu

    Journal of Refractive Surgery (Thorofare, N.J. : 1995)
    |July 10, 2020
    PubMed
    Summary
    This summary is machine-generated.

    Optimizing intraocular lens (IOL) power calculation formulas with swept-source optical coherence tomography (SS-OCT) biometry improves accuracy. The Olsen, Barrett, Kane, and EVO 2.0 formulas demonstrated the best refractive prediction outcomes.

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    Area of Science:

    • Ophthalmology
    • Biomedical Optics
    • Surgical Technology

    Background:

    • Accurate intraocular lens (IOL) power calculation is crucial for achieving desired refractive outcomes after cataract surgery.
    • Swept-source optical coherence tomography (SS-OCT) provides high-resolution biometry measurements for IOL power calculations.
    • Various IOL power calculation formulas exist, with varying accuracy depending on the biometry data used.

    Purpose of the Study:

    • To evaluate the accuracy of modern IOL power calculation formulas using SS-OCT biometry.
    • To compare the performance of artificial intelligence-based and standard Gaussian optics-based formulas.
    • To assess the impact of optimized constants for SS-OCT biometry on formula accuracy.

    Main Methods:

    • Retrospective analysis of 410 eyes undergoing cataract surgery with SS-OCT biometry (IOLMaster 700).
    • Comparison of newly released AI-based formulas (Hill-Radial Basis Function 2.0, Kane, PEARL-DGS) against standard formulas.
    • Evaluation of refractive prediction accuracy by comparing predicted spherical equivalent with actual postoperative refraction.

    Main Results:

    • Optimized SS-OCT biometry constants significantly reduced median absolute error (MedAE) for several standard formulas.
    • The Olsen and Kane formulas exhibited the lowest MedAEs (0.283 D and 0.286 D, respectively) after constant optimization.
    • Formulas like Olsen, Barrett, Kane, and EVO 2.0 showed a higher proportion of eyes within ±0.25 D of predicted refraction.

    Conclusions:

    • Constant optimization for SS-OCT biometry enhances the performance of IOL power calculation formulas.
    • The Barrett, EVO 2.0, Kane, and Olsen formulas provide the most accurate prediction of postoperative refraction.
    • These findings support the use of advanced formulas with SS-OCT biometry for improved refractive outcomes in cataract surgery.