Optimizing the graft size in the Evans osteotomy to minimize the calcaneocuboid joint pressure by highly realistic in-silico analysis

Abstract This contribution details a new high-fidelity finite element analysis (FEA) methodology for the investigation of the effect of the graft size on the pressure distribution developing at the calcaneocuboid joint after the Evans osteotomy procedure. The FEA model includes all 28 bones of the f...

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Main Authors: Luca Quagliato, Youngbin Lim, Yunjeong Choi, Kyoung Min Lee, Sewon Kim, Taeyong Lee
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-025-85688-7
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author Luca Quagliato
Youngbin Lim
Yunjeong Choi
Kyoung Min Lee
Sewon Kim
Taeyong Lee
author_facet Luca Quagliato
Youngbin Lim
Yunjeong Choi
Kyoung Min Lee
Sewon Kim
Taeyong Lee
author_sort Luca Quagliato
collection DOAJ
description Abstract This contribution details a new high-fidelity finite element analysis (FEA) methodology for the investigation of the effect of the graft size on the pressure distribution developing at the calcaneocuboid joint after the Evans osteotomy procedure. The FEA model includes all 28 bones of the foot up to the distal end of fibula and tibia as well as soft tissues, tendons, and muscles. The developed FEA model was validated by comparing the in-vivo pressure distribution on the foot plantar with the in-silico results, resulting in a low deviation equal to 7.8%, and with the deformed foot shape caused by the body weight in static standing position measured by a high-precision lidar scanning, for an average shape error of 5.3%. The developed FEA was then employed to investigate the effect of the graft size on the calcaneocuboid joint pressure and improvement in the medial-longitudinal arch for a flat foot patient, where the soft and hard tissues’ geometries were acquired by a CT scan. The results quantitatively demonstrated that the maximum pressure at the calcaneocuboid joint follows a quadratic trend where the minimum point also represents the best compromise to alleviate the flat foot condition while avoiding excessive pressure.
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spelling doaj-art-772efe21088c4c6294e0252388d482e12025-01-26T12:27:57ZengNature PortfolioScientific Reports2045-23222025-01-0115111110.1038/s41598-025-85688-7Optimizing the graft size in the Evans osteotomy to minimize the calcaneocuboid joint pressure by highly realistic in-silico analysisLuca Quagliato0Youngbin Lim1Yunjeong Choi2Kyoung Min Lee3Sewon Kim4Taeyong Lee5Division of Mechanical and Biomedical Engineering, Ewha Womans UniversityDassault Systèmes Korea, SIMULIADassault Systèmes Korea, CATIADepartment of Orthopedic Surgery, Seoul National University Bundang HospitalDivision of Mechanical and Biomedical Engineering, Ewha Womans UniversityDivision of Mechanical and Biomedical Engineering, Ewha Womans UniversityAbstract This contribution details a new high-fidelity finite element analysis (FEA) methodology for the investigation of the effect of the graft size on the pressure distribution developing at the calcaneocuboid joint after the Evans osteotomy procedure. The FEA model includes all 28 bones of the foot up to the distal end of fibula and tibia as well as soft tissues, tendons, and muscles. The developed FEA model was validated by comparing the in-vivo pressure distribution on the foot plantar with the in-silico results, resulting in a low deviation equal to 7.8%, and with the deformed foot shape caused by the body weight in static standing position measured by a high-precision lidar scanning, for an average shape error of 5.3%. The developed FEA was then employed to investigate the effect of the graft size on the calcaneocuboid joint pressure and improvement in the medial-longitudinal arch for a flat foot patient, where the soft and hard tissues’ geometries were acquired by a CT scan. The results quantitatively demonstrated that the maximum pressure at the calcaneocuboid joint follows a quadratic trend where the minimum point also represents the best compromise to alleviate the flat foot condition while avoiding excessive pressure.https://doi.org/10.1038/s41598-025-85688-7
spellingShingle Luca Quagliato
Youngbin Lim
Yunjeong Choi
Kyoung Min Lee
Sewon Kim
Taeyong Lee
Optimizing the graft size in the Evans osteotomy to minimize the calcaneocuboid joint pressure by highly realistic in-silico analysis
Scientific Reports
title Optimizing the graft size in the Evans osteotomy to minimize the calcaneocuboid joint pressure by highly realistic in-silico analysis
title_full Optimizing the graft size in the Evans osteotomy to minimize the calcaneocuboid joint pressure by highly realistic in-silico analysis
title_fullStr Optimizing the graft size in the Evans osteotomy to minimize the calcaneocuboid joint pressure by highly realistic in-silico analysis
title_full_unstemmed Optimizing the graft size in the Evans osteotomy to minimize the calcaneocuboid joint pressure by highly realistic in-silico analysis
title_short Optimizing the graft size in the Evans osteotomy to minimize the calcaneocuboid joint pressure by highly realistic in-silico analysis
title_sort optimizing the graft size in the evans osteotomy to minimize the calcaneocuboid joint pressure by highly realistic in silico analysis
url https://doi.org/10.1038/s41598-025-85688-7
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AT youngbinlim optimizingthegraftsizeintheevansosteotomytominimizethecalcaneocuboidjointpressurebyhighlyrealisticinsilicoanalysis
AT yunjeongchoi optimizingthegraftsizeintheevansosteotomytominimizethecalcaneocuboidjointpressurebyhighlyrealisticinsilicoanalysis
AT kyoungminlee optimizingthegraftsizeintheevansosteotomytominimizethecalcaneocuboidjointpressurebyhighlyrealisticinsilicoanalysis
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