Evaluation and validation of 2D biomechanical models of the knee for radiograph-based preoperative planning in total knee arthroplasty.
Aged
Arthroplasty, Replacement, Knee
/ instrumentation
Biomechanical Phenomena
Computer Simulation
Female
Humans
Knee Joint
/ diagnostic imaging
Knee Prosthesis
Male
Middle Aged
Models, Biological
Patient Care Planning
Preoperative Period
Prosthesis Design
/ methods
Radiography
Telemetry
Weight-Bearing
/ physiology
Journal
PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081
Informations de publication
Date de publication:
2020
2020
Historique:
received:
06
05
2019
accepted:
16
12
2019
entrez:
9
1
2020
pubmed:
9
1
2020
medline:
6
5
2020
Statut:
epublish
Résumé
Thorough preoperative planning in total knee arthroplasty is essential to reduce implant failure by proper implant sizing and alignment. The "gold standard" in conventional preoperative planning is based on anterior-posterior long-leg radiographs. However, the coronal component alignment is still an open discussion in literature, since studies have reported contradictory outcomes on survivorship, indicating that optimal individual alignment goals still need to be defined. Two-dimensional biomechanical models of the knee have the potential to predict joint forces and, therefore, objectify therapy planning. Previously published two-dimensional biomechanical models were evaluated and validated for the first time in this study by comparison of model predictions to corresponding in vivo measurements obtained from telemetric implants for a one- and two-leg stance. Model input parameters were acquired from weight-bearing anterior-posterior long-leg radiographs and statistical assumptions for patient-specific model adaptation. The overall time from initialization to load prediction was in the range of 7-8 minutes per patient for all models. However, no model could accurately predict the correct trend of knee joint forces over patients. Two dimensional biomechanical models of the knee have the potential to improve preoperative planning in total knee arthroplasty by providing additional individual biomechanical information to the surgeon. Although integration into the clinical workflow might be performed with acceptable costs, the models' accuracy is insufficient for the moment. Future work is needed for model optimization and more sophisticated modelling approaches.
Identifiants
pubmed: 31914159
doi: 10.1371/journal.pone.0227272
pii: PONE-D-19-12774
pmc: PMC6948753
doi:
Types de publication
Evaluation Study
Journal Article
Research Support, Non-U.S. Gov't
Validation Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
e0227272Déclaration de conflit d'intérêts
The authors have declared that no competing interests exist.
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