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      Postoperative vault prediction for phakic implantable collamer lens surgery: LASSO formulas

      research-article
      , MSc, , PhD, , MD, , MD, PhD, , MD, , MD, PhD
      Journal of Cataract and Refractive Surgery
      Wolters Kluwer

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          Abstract

          The LASSO sizing formulas are easy to implement into clinical practice and can significantly improve the predictability of postoperative vault after ICL implantation.

          Purpose:

          To develop and evaluate reliable formulas for predicting postoperative vault more accurately after implantable collamer lens (ICL) surgery in a White patient population with varying degrees of ametropia.

          Setting:

          Private clinical practice.

          Design:

          Retrospective analysis on dataset split into a separate training and test set.

          Methods:

          115 eyes of 59 patients were used to train regression models predicting postoperative vault based on anterior segment optical coherence tomography (OCT) parameters (Least Absolute Shrinkage and Selection Operator [LASSO]-OCT formula), ocular biometry data (LASSO-Biometry formula), or data from both devices (LASSO-Full formula). The performance of these models was evaluated against the manufacturer's nomogram (Online Calculation and Ordering System [OCOS]) and Nakamura 1 (NK1) and 2 (NK2) formulas on a matched separate test set of 37 eyes of 19 patients.

          Results:

          The mean preoperative spherical equivalent was −5.32 ± 3.37 (range: +3.75 to −17.375 diopters). The mean absolute errors of the estimated vs achieved postoperative vault for the LASSO-Biometry, LASSO-OCT, and LASSO-Full formulas were 144.1 ± 107.9 μm, 145.6 ± 100.6 μm, and 132.0 ± 86.6 μm, respectively. These results were significantly lower compared with the OCOS, NK1, and NK2 formulas ( P < .006). Postoperative vault could be estimated within 500 μm in 97.3% (LASSO-Biometry) to 100% of cases (LASSO-OCT and LASSO-Full).

          Conclusions:

          The LASSO suite provided a set of powerful, reproducible yet convenient ICL sizing formulas with state-of-the-art performance in White patients, including those with low to moderate degrees of myopia. The calculator can be accessed at http://icl.emmetropia.be.

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          Most cited references36

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          SciPy 1.0: fundamental algorithms for scientific computing in Python

          SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year. In this work, we provide an overview of the capabilities and development practices of SciPy 1.0 and highlight some recent technical developments.
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            Regression Shrinkage and Selection Via the Lasso

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              Scikit-learn: machine learning in Python

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                Author and article information

                Contributors
                Journal
                J Cataract Refract Surg
                J Cataract Refract Surg
                JCRS
                JCRS
                Journal of Cataract and Refractive Surgery
                Wolters Kluwer (Maryland, MD )
                0886-3350
                1873-4502
                February 2023
                14 October 2022
                : 49
                : 2
                : 126-132
                Affiliations
                From the Yatiris Group, PLADEMA Institute, Universidad Nacional del Centro de la Provincia de Buenos Aires (UNICEN), Tandil, Buenos Aires, Argentina (Rocamora, Orlando); Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Tandil, Buenos Aires, Argentina (Orlando); Department of Ophthalmology, Goethe-University, Frankfurt Am Main, Germany (Lwowski, Kohnen); Medipolis, Antwerp, Belgium (Mertens); Department of Ophthalmology, University Hospitals UZ Leuven, Leuven, Belgium (Van Keer); Biomedical Sciences Group, Department of Neurosciences, Research Group Ophthalmology, KU Leuven, Leuven, Belgium (Van Keer).
                Author notes
                Corresponding author: Karel Van Keer, MD, PhD, Herestraat 49, 3000 Leuven, Belgium. Email: karel.vankeer@ 123456uzleuven.be .
                Article
                JCRS-22-592 00004
                10.1097/j.jcrs.0000000000001079
                9872858
                36255226
                aed60dd1-569f-4941-b84b-e2bc49ef7972
                Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of ASCRS and ESCRS

                This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.

                History
                : 20 July 2022
                : 26 September 2022
                : 10 October 2022
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