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Tailored Multibody Tibiofemoral Joint Model for Precision Care.

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Title: Tailored Multibody Tibiofemoral Joint Model for Precision Care.
Authors: Kuchimov, Shavkat Nadir1,2 (AUTHOR) shavkatkuchimov@gmail.com, Ozkan, Mehmed1 (AUTHOR), Temelli, Yener3 (AUTHOR), Gurumallesh, Poorani (AUTHOR) pgurumalle@wiley.com
Source: Applied Bionics & Biomechanics. 11/10/2025, Vol. 2025, p1-13. 13p.
Subjects: Tibiofemoral joint, Knee joint, Ligaments, Biological models, Simulation software, Knee injuries, Surgery practice
Abstract: Knee motion involves intricate coordination among various anatomical structures. Effective treatment of knee pathologies requires precise identification of deformities and accurate surgical interventions, which often involve rapid tissue modification based on established knowledge. However, motion disorders are typically detected long after surgery. To address this, a simulation environment is proposed to plan and analyze surgical impacts on knee motion. Comprehensive knee joint modeling is crucial for a successful simulation. Clinically accepted movement procedures based on passive knee motion make tibiofemoral articulation modeling sufficient. Proposed model tibiofemoral articulation, incorporating 15 ligaments, tibial and femoral bones, and cartilages. Ligaments' tensile, bones', and cartilages' contact forces (CFs) define internal force interactions. Anatomical structures, their shapes, positions, and attachment points are identified from MRI, ensuring patient‐specific modeling. Simulation results are compared to cadaver data using passive knee motion. Two rotational and three translational dependent joint motions (JMs) are compared pairwise. The results are highly correlated with the clinical benchmark. Pearson's correlation show a strong association between experimental and simulated passive knee flexions (PKFs; r > 0.89). The comparison is statistically significant with p < 0.05. Anterior–posterior translation showed the highest correlation (R2 = 0.994). The findings indicate that the simulated model closely replicates actual knee responses. [ABSTRACT FROM AUTHOR]
Copyright of Applied Bionics & Biomechanics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Tailored Multibody Tibiofemoral Joint Model for Precision Care.
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  Data: Knee motion involves intricate coordination among various anatomical structures. Effective treatment of knee pathologies requires precise identification of deformities and accurate surgical interventions, which often involve rapid tissue modification based on established knowledge. However, motion disorders are typically detected long after surgery. To address this, a simulation environment is proposed to plan and analyze surgical impacts on knee motion. Comprehensive knee joint modeling is crucial for a successful simulation. Clinically accepted movement procedures based on passive knee motion make tibiofemoral articulation modeling sufficient. Proposed model tibiofemoral articulation, incorporating 15 ligaments, tibial and femoral bones, and cartilages. Ligaments&#39; tensile, bones&#39;, and cartilages&#39; contact forces (CFs) define internal force interactions. Anatomical structures, their shapes, positions, and attachment points are identified from MRI, ensuring patient‐specific modeling. Simulation results are compared to cadaver data using passive knee motion. Two rotational and three translational dependent joint motions (JMs) are compared pairwise. The results are highly correlated with the clinical benchmark. Pearson&#39;s correlation show a strong association between experimental and simulated passive knee flexions (PKFs; r &gt; 0.89). The comparison is statistically significant with p &lt; 0.05. Anterior–posterior translation showed the highest correlation (R2 = 0.994). The findings indicate that the simulated model closely replicates actual knee responses. [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of Applied Bionics &amp; Biomechanics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=189231260
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1155/abb/5951085
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 13
        StartPage: 1
    Subjects:
      – SubjectFull: Tibiofemoral joint
        Type: general
      – SubjectFull: Knee joint
        Type: general
      – SubjectFull: Ligaments
        Type: general
      – SubjectFull: Biological models
        Type: general
      – SubjectFull: Simulation software
        Type: general
      – SubjectFull: Knee injuries
        Type: general
      – SubjectFull: Surgery practice
        Type: general
    Titles:
      – TitleFull: Tailored Multibody Tibiofemoral Joint Model for Precision Care.
        Type: main
  BibRelationships:
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      – PersonEntity:
          Name:
            NameFull: Kuchimov, Shavkat Nadir
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            NameFull: Ozkan, Mehmed
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            NameFull: Temelli, Yener
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            NameFull: Gurumallesh, Poorani
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            – D: 10
              M: 11
              Text: 11/10/2025
              Type: published
              Y: 2025
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              Value: 11762322
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              Value: 2025
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            – TitleFull: Applied Bionics & Biomechanics
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