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    <subfield code="2">sideral</subfield>
    <subfield code="a">119718</subfield>
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    <subfield code="a">ART-2020-119718</subfield>
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    <subfield code="a">eng</subfield>
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  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="a">Ariza-Gracia, M.A.</subfield>
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  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">Biomechanically-driven simulations of the MyoRing treatment in subjects with high myopia</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2020</subfield>
  </datafield>
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    <subfield code="a">Access copy available to the general public</subfield>
    <subfield code="f">Unrestricted</subfield>
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    <subfield code="a">Purpose: Corneal biomechanics is a determinant factor for the outcome of continuous intracorneal segments (MyoRing, Dioptex GmbH). However, implant selection remains driven by optical parameters such as the average central curvature of the cornea (Kmean) and the Spherical Equivalent (SE), while failing to account for the tissue biomechanics or the intraocular pressure (IOP). We hypothesize that biomechanical models and computer simulation can improve the refractive outcomes of the MyoRing treatment.

Methods: Four thousand computer models representing the population of patients who are candidates for a MyoRing treatment have been created using the finite element method. These numerical models accounted for physiologic variability of the anatomical features (anterior and posterior corneal radius of curvature, corneal thickness, axial length and pupil size) and mechanical properties (corneal biomechanics and IOP). Two MyoRing implants were evaluated on these virtual patients (Myoring size: 280 µm; optical zone: 5 and 6 mm; depth: 60%-75%; laser ablated pocket 5 µm). Refractive outcomes obtained with the biomechanical simulation were compared to previous clinical data (Daxer 2017; Rattan 2018).

Results: Population-based simulations were able to reproduce the refractive correction observed clinically; the average post-surgical Kmean was within ± 0.5 D of the data reported by Rattan (Fig.1 a), and the distribution of post-surgical SE closely matched the clinical data from Daxer (Fig.1 b). Moreover, our simulation approach allowed us to determine the clinical parameters having the most important contributions to the refractive outcome. For example, we found that the correction in Kmean is strongly related to the pre-surgical thickness, mechanics, and IOP, while the correction in SE is highly affected by the depth of MyoRing insertion.

Conclusions: Biomechanical modelling is able to predict the refractive outcomes of MyoRing implantations. This approach provides a deeper understanding on the mechanisms underlying continuous intracorneal segments, which can be used to improve implant design and further personalize the treatment procedure.</subfield>
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    <subfield code="9">info:eu-repo/grantAgreement/EC/H2020/786692/EU/Multiscale Integrative Approach for Corneal Biomechanics to Assess Corneal Crosslinking/MIMetiCO</subfield>
    <subfield code="9">This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 786692-MIMetiCO</subfield>
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    <subfield code="9">info:eu-repo/semantics/openAccess</subfield>
    <subfield code="a">by-nc-nd</subfield>
    <subfield code="u">http://creativecommons.org/licenses/by-nc-nd/3.0/es/</subfield>
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    <subfield code="a">4.799</subfield>
    <subfield code="b">2020</subfield>
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  <datafield tag="591" ind1=" " ind2=" ">
    <subfield code="a">OPHTHALMOLOGY</subfield>
    <subfield code="b">8 / 62 = 0.129</subfield>
    <subfield code="c">2020</subfield>
    <subfield code="d">Q1</subfield>
    <subfield code="e">T1</subfield>
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    <subfield code="a">1.935</subfield>
    <subfield code="b">2020</subfield>
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  <datafield tag="593" ind1=" " ind2=" ">
    <subfield code="a">Cellular and Molecular Neuroscience</subfield>
    <subfield code="c">2020</subfield>
    <subfield code="d">Q1</subfield>
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  <datafield tag="593" ind1=" " ind2=" ">
    <subfield code="a">Sensory Systems</subfield>
    <subfield code="c">2020</subfield>
    <subfield code="d">Q1</subfield>
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  <datafield tag="593" ind1=" " ind2=" ">
    <subfield code="a">Ophthalmology</subfield>
    <subfield code="c">2020</subfield>
    <subfield code="d">Q1</subfield>
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    <subfield code="a">info:eu-repo/semantics/article</subfield>
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  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Flecha-Lescun, J.</subfield>
    <subfield code="u">Universidad de Zaragoza</subfield>
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  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Calzada, B.C.</subfield>
    <subfield code="u">Universidad de Zaragoza</subfield>
    <subfield code="0">(orcid)0000-0001-9713-1813</subfield>
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  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Buchler, P.</subfield>
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  <datafield tag="710" ind1="2" ind2=" ">
    <subfield code="1">5004</subfield>
    <subfield code="2">605</subfield>
    <subfield code="a">Universidad de Zaragoza</subfield>
    <subfield code="b">Dpto. Ingeniería Mecánica</subfield>
    <subfield code="c">Área Mec.Med.Cont. y Teor.Est.</subfield>
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  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="g">61, 7 (2020), 4722 [3 pp]</subfield>
    <subfield code="p">Investig. ophthalmol. vis. sci.</subfield>
    <subfield code="t">Investigative ophthalmology &amp; visual science</subfield>
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    <subfield code="u">https://iovs.arvojournals.org/article.aspx?articleid=2769897</subfield>
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