Simulation of preoperative flexion contracture in a computational model of total knee arthroplasty: Development and evaluation

Preoperative flexion contracture is a risk factor for patient dissatisfaction following primary total knee arthroplasty (TKA). Previous studies utilizing surgical navigation technology and cadaveric models attempted to identify operative techniques to correct knees with flexion contracture and minim...

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Published inJournal of biomechanics Vol. 120; p. 110367
Main Authors Elmasry, Shady S., Chalmers, Brian P., Kahlenberg, Cynthia A., Mayman, David J., Wright, Timothy M., Westrich, Geoffrey H., Cross, Michael B., Sculco, Peter K., Imhauser, Carl W.
Format Journal Article
LanguageEnglish
Published United States Elsevier Ltd 07.05.2021
Elsevier Limited
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Online AccessGet full text
ISSN0021-9290
1873-2380
1873-2380
DOI10.1016/j.jbiomech.2021.110367

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Abstract Preoperative flexion contracture is a risk factor for patient dissatisfaction following primary total knee arthroplasty (TKA). Previous studies utilizing surgical navigation technology and cadaveric models attempted to identify operative techniques to correct knees with flexion contracture and minimize undesirable outcomes such as knee instability. However, no consensus has emerged on a surgical strategy to treat this clinical condition. Therefore, the purpose of this study was to develop and evaluate a computational model of TKA with flexion contracture that can be used to devise surgical strategies that restore knee extension and to understand factors that cause negative outcomes. We developed six computational models of knees implanted with a posteriorly stabilized TKA using a measured resection technique. We incorporated tensions in the collateral ligaments representative of those achieved in TKA using reference data from a cadaveric experiment and determined tensions in the posterior capsule elements in knees with flexion contracture by simulating a passive extension exam. Subject-specific extension moments were calculated and used to evaluate the amount of knee extension that would be restored after incrementally resecting the distal femur. Model predictions of the extension angle after resecting the distal femur by 2 and 4 mm were within 1.2° (p ≥ 0.32) and 1.6° (p ≥ 0.25), respectively, of previous studies. Accordingly, the presented computational method could be a credible surrogate to study the mechanical impact of flexion contracture in TKA and to evaluate its surgical treatment.
AbstractList Preoperative flexion contracture is a risk factor for patient dissatisfaction following primary total knee arthroplasty (TKA). Previous studies utilizing surgical navigation technology and cadaveric models attempted to identify operative techniques to correct knees with flexion contracture and minimize undesirable outcomes such as knee instability. However, no consensus has emerged on a surgical strategy to treat this clinical condition. Therefore, the purpose of this study was to develop and evaluate a computational model of TKA with flexion contracture that can be used to devise surgical strategies that restore knee extension and to understand factors that cause negative outcomes. We developed six computational models of knees implanted with a posteriorly stabilized TKA using a measured resection technique. We incorporated tensions in the collateral ligaments representative of those achieved in TKA using reference data from a cadaveric experiment and determined tensions in the posterior capsule elements in knees with flexion contracture by simulating a passive extension exam. Subject-specific extension moments were calculated and used to evaluate the amount of knee extension that would be restored after incrementally resecting the distal femur. Model predictions of the extension angle after resecting the distal femur by 2 and 4 mm were within 1.2° (p ≥ 0.32) and 1.6° (p ≥ 0.25), respectively, of previous studies. Accordingly, the presented computational method could be a credible surrogate to study the mechanical impact of flexion contracture in TKA and to evaluate its surgical treatment.
Preoperative flexion contracture is a risk factor for patient dissatisfaction following primary total knee arthroplasty (TKA). Previous studies utilizing surgical navigation technology and cadaveric models attempted to identify operative techniques to correct knees with flexion contracture and minimize undesirable outcomes such as knee instability. However, no consensus has emerged on a surgical strategy to treat this clinical condition. Therefore, the purpose of this study was to develop and evaluate a computational model of TKA with flexion contracture that can be used to devise surgical strategies that restore knee extension and to understand factors that cause negative outcomes. We developed six computational models of knees implanted with a posteriorly stabilized TKA using a measured resection technique. We incorporated tensions in the collateral ligaments representative of those achieved in TKA using reference data from a cadaveric experiment and determined tensions in the posterior capsule elements in knees with flexion contracture by simulating a passive extension exam. Subject-specific extension moments were calculated and used to evaluate the amount of knee extension that would be restored after incrementally resecting the distal femur. Model predictions of the extension angle after resecting the distal femur by 2 and 4 mm were within 1.2° (p ≥ 0.32) and 1.6° (p ≥ 0.25), respectively, of previous studies. Accordingly, the presented computational method could be a credible surrogate to study the mechanical impact of flexion contracture in TKA and to evaluate its surgical treatment.
Preoperative flexion contracture is a risk factor for patient dissatisfaction following primary total knee arthroplasty (TKA). Previous studies utilizing surgical navigation technology and cadaveric models attempted to identify operative techniques to correct knees with flexion contracture and minimize undesirable outcomes such as knee instability. However, no consensus has emerged on a surgical strategy to treat this clinical condition. Therefore, the purpose of this study was to develop and evaluate a computational model of TKA with flexion contracture that can be used to devise surgical strategies that restore knee extension and to understand factors that cause negative outcomes. We developed six computational models of knees implanted with a posteriorly stabilized TKA using a measured resection technique. We incorporated tensions in the collateral ligaments representative of those achieved in TKA using reference data from a cadaveric experiment and determined tensions in the posterior capsule elements in knees with flexion contracture by simulating a passive extension exam. Subject-specific extension moments were calculated and used to evaluate the amount of knee extension that would be restored after incrementally resecting the distal femur. Model predictions of the extension angle after resecting the distal femur by 2 and 4 mm were within 1.2° (p ≥ 0.32) and 1.6° (p ≥ 0.25), respectively, of previous studies. Accordingly, the presented computational method could be a credible surrogate to study the mechanical impact of flexion contracture in TKA and to evaluate its surgical treatment.Preoperative flexion contracture is a risk factor for patient dissatisfaction following primary total knee arthroplasty (TKA). Previous studies utilizing surgical navigation technology and cadaveric models attempted to identify operative techniques to correct knees with flexion contracture and minimize undesirable outcomes such as knee instability. However, no consensus has emerged on a surgical strategy to treat this clinical condition. Therefore, the purpose of this study was to develop and evaluate a computational model of TKA with flexion contracture that can be used to devise surgical strategies that restore knee extension and to understand factors that cause negative outcomes. We developed six computational models of knees implanted with a posteriorly stabilized TKA using a measured resection technique. We incorporated tensions in the collateral ligaments representative of those achieved in TKA using reference data from a cadaveric experiment and determined tensions in the posterior capsule elements in knees with flexion contracture by simulating a passive extension exam. Subject-specific extension moments were calculated and used to evaluate the amount of knee extension that would be restored after incrementally resecting the distal femur. Model predictions of the extension angle after resecting the distal femur by 2 and 4 mm were within 1.2° (p ≥ 0.32) and 1.6° (p ≥ 0.25), respectively, of previous studies. Accordingly, the presented computational method could be a credible surrogate to study the mechanical impact of flexion contracture in TKA and to evaluate its surgical treatment.
ArticleNumber 110367
Author Elmasry, Shady S.
Wright, Timothy M.
Chalmers, Brian P.
Westrich, Geoffrey H.
Sculco, Peter K.
Mayman, David J.
Kahlenberg, Cynthia A.
Cross, Michael B.
Imhauser, Carl W.
AuthorAffiliation c Department of Orthopedic Surgery, Hospital for Special Surgery, Weill Cornell Medicine of Cornell University, New York, NY, USA
a Department of Biomechanics, Hospital for Special Surgery, Weill Cornell Medicine of Cornell University, New York, NY, USA
b Department of Mechanical Design and Production, Faculty of Engineering, Cairo University, Egypt
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CitedBy_id crossref_primary_10_1302_0301_620X_103B6_BJJ_2020_2444_R1
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Keywords Passive extension moment
Computational model
Additional resection of the distal femur
Flexion contracture
Total Knee Arthroplasty
Ligament tension
Language English
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  publication-title: J. Am. Acad. Orthopaedic Surg.
  doi: 10.5435/JAAOS-D-18-00785
– volume: 476
  start-page: 113
  year: 2018
  ident: 10.1016/j.jbiomech.2021.110367_b0120
  article-title: Femoral Component external rotation affects knee biomechanics: a computational model of posterior-stabilized TKA
  publication-title: Clin. Orthop. Relat. Res.
  doi: 10.1007/s11999.0000000000000020
– volume: 22
  start-page: 20
  year: 2007
  ident: 10.1016/j.jbiomech.2021.110367_b0170
  article-title: Management of flexion contracture in total knee arthroplasty
  publication-title: J. Arthroplasty
  doi: 10.1016/j.arth.2006.12.110
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Snippet Preoperative flexion contracture is a risk factor for patient dissatisfaction following primary total knee arthroplasty (TKA). Previous studies utilizing...
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SubjectTerms Additional resection of the distal femur
Arthroplasty (knee)
Cadavers
Computational model
Computer applications
Evaluation
Femur
Flexion contracture
Joint replacement surgery
Joint surgery
Knee
Ligament tension
Ligaments
Mathematical models
Optimization
Orthopaedic implants
Passive extension moment
Risk analysis
Risk factors
Robotics
Robots
Surgeons
Surgical implants
Surgical techniques
Total Knee Arthroplasty
Transplants & implants
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Title Simulation of preoperative flexion contracture in a computational model of total knee arthroplasty: Development and evaluation
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