Cadaveric Evaluation of Knee Joint Kinematics Using the Kansas Knee Simulator

2013 ◽  
Author(s):  
Sami Shalhoub ◽  
Fallon Fitzwater ◽  
Lorin Maletsky
Keyword(s):  
Soft Tissue ◽  
Knee Joint ◽  
Computational Models ◽  
Surgical Techniques ◽  
Joint Kinematics ◽  
Joint Function ◽  
Knee Simulator ◽  
Knee Joint Kinematics

Computational models of the knee are useful for evaluating changes in kinematics, soft tissue loadings, new prosthetic geometries, and surgical techniques [1, 2]. These models are advantageous in their ability to quickly and efficiently evaluate the effect of changes in these parameters on knee joint function. The limitation of modeling is that the results are greatly influenced by the constraints and parameters used to create the model.

Using MR Imaging and X-Ray Fluoroscopy to Quantify the Effects of Soft-Tissue Artifact on Measurement of Knee-Joint Kinematics

2009 ◽  
Author(s):  
Massoud Akbarshahi ◽  
Justin W. Fernandez ◽  
Anthony Schache ◽  
Richard Baker ◽  
Marcus G. Pandy
Keyword(s):  
Soft Tissue ◽  
Knee Joint ◽  
Soft Tissues ◽  
Surgical Techniques ◽  
Joint Kinematics ◽  
Segmental Motion ◽  
Coordinate Systems ◽  
Knee Joint Kinematics ◽  
Soft Tissue Artifact

The ability to accurately measure joint kinematics in vivo is of critical importance to researchers in the field of biomechanics [1]. Applications range from the quantitative evaluation of different surgical techniques, treatment methods and/or implant designs, to the development of computer-based models capable of simulating normal and pathological musculoskeletal conditions [1,2]. Currently, non-invasive marker-based three dimensional (3D) motion analysis is the most commonly used method for quantitative assessment of normal and pathological locomotion. The accuracy of this technique is influenced by movement of the soft tissues relative to the underlying bones, which causes inaccuracies in the determination of segmental anatomical coordinate systems and tracking of segmental motion. The purpose of this study was to quantify the errors in the measurement of knee-joint kinematics due solely to soft-tissue artifact (STA) in healthy subjects. To facilitate valid inter-subject comparisons of the kinematic data, relevant anatomical coordinate systems were defined using 3D bone models generated from magnetic resonance imaging (MRI).

A Femoral Clamp to Reduce Soft Tissue Artifact: Accuracy and Reliability in Measuring Three-Dimensional Knee Kinematics During Gait

2019 ◽  
Vol 142 (4) ◽  
Author(s):  
Ziyun Ding ◽  
Manuela Güdel ◽  
Samuel H. L. Smith ◽  
Richard A. Ademefun ◽  
Anthony M. J. Bull
Keyword(s):  
Soft Tissue ◽  
Knee Joint ◽  
Degrees Of Freedom ◽  
Intraclass Correlation ◽  
Joint Kinematics ◽  
Cluster Method ◽  
Coefficient Of Determination ◽  
Knee Joint Kinematics ◽  
Soft Tissue Artifact ◽  
Rigid Cluster

Abstract The accurate measurement of full six degrees-of-freedom (6DOFs) knee joint kinematics is prohibited by soft tissue artifact (STA), which remains the greatest source of error. The purpose of this study was to present and assess a new femoral clamp to reduce STA at the thigh. It was hypothesized that the device can preserve the natural knee joint kinematics pattern and outperform a conventional marker mounted rigid cluster during gait. Six healthy subjects were asked to walk barefoot on level ground with a cluster marker set (cluster gait) followed by a cluster-clamp-merged marker set (clamp gait) and their kinematics was measured using the cluster method in cluster gait and the cluster and clamp methods simultaneously in clamp gait. Two operators performed the gait measurement. A 6DOFs knee joint model was developed to enable comparison with the gold standard knee joint kinematics measured using a dual fluoroscopic imaging technique. One-dimensional (1D) paired t-tests were used to compare the knee joint kinematics waveforms between cluster gait and clamp gait. The accuracy was assessed in terms of the root-mean-square error (RMSE), coefficient of determination, and Bland–Altman plots. Interoperator reliability was assessed using the intraclass correlation coefficient (ICC). The result showed that the femoral clamp did not change the walking speed and knee joint kinematics waveforms. Additionally, clamp gait reduced the rotation and translation errors in the transverse plane and improved the interoperator reliability when compared to the rigid cluster method, suggesting a more accurate and reliable measurement of knee joint kinematics.

Non-invasive assessment of soft-tissue artifact and its effect on knee joint kinematics during functional activity

2010 ◽  
Vol 43 (7) ◽  
pp. 1292-1301 ◽  
Author(s):  
Massoud Akbarshahi ◽  
Anthony G. Schache ◽  
Justin W. Fernandez ◽  
Richard Baker ◽  
Scott Banks ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Knee Joint ◽  
Functional Activity ◽  
Joint Kinematics ◽  
Non Invasive ◽  
Knee Joint Kinematics ◽  
Soft Tissue Artifact

Cadaveric Evaluation of Soft-Tissue Constraint in the Human Knee

2013 ◽  
Author(s):  
Adam Cyr ◽  
Lorin Maletsky
Keyword(s):  
Soft Tissue ◽  
Knee Joint ◽  
Joint Kinematics ◽  
Motion Patterns ◽  
Passive Motion ◽  
Human Knee ◽  
Human Knee Joint ◽  
Knee Joint Kinematics ◽  
Motion Characteristics

The motion patterns of the human knee joint depend on its passive motion characteristics, which are described by the ligamentous and articular constraints. Since active motions, like walking and squatting are believe to fall within a passive envelope, the basis for the understanding of the knee joint kinematics lies in the description of its passive characteristics.

scholarly journals Development and evaluation of a new methodology for Soft Tissue Artifact compensation in the lower limb

2021 ◽  
Author(s):  
Bhrigu K. Lahkar ◽  
Pierre-Yves Rohan ◽  
Ayman Assi ◽  
Helene Pillet ◽  
Xavier Bonnet ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Knee Joint ◽  
Lower Limb ◽  
Healthy Subjects ◽  
Motor Task ◽  
Joint Kinematics ◽  
Skin Marker ◽  
Flexion Extension ◽  
Knee Joint Kinematics ◽  
Soft Tissue Artifact

AbstractSkin Marker (SM) based motion capture is the most widespread technique used for motion analysis. Yet, the accuracy is often hindered by Soft Tissue Artifact (STA). This is a major issue in clinical gait analysis where kinematic results are used for decision-making. It also has a considerable influence on the results of rigid body and Finite Element (FE) musculoskeletal models that rely on SM-based kinematics to estimate muscle, contact and ligament forces. Current techniques designed to compensate for STA, in particular multi-body optimization methods, assume anatomical simplifications to define joint constraints. These methods, however, cannot adapt to subjects’ bone morphology, particularly for patients with joint lesions, nor easily can account for subject- and location-dependent STA. In this perspective, we propose to develop a conceptual FE based model of the lower limb for STA compensation and evaluate it for 66 healthy subjects under level walking motor task.Both hip and knee joint kinematics were analyzed, considering both rotational and translational joint motion. Results showed that STA caused underestimation of the hip joint kinematics (up to 2.2°) for all rotational DoF, and overestimation of knee joint kinematics (up to 12°) except in flexion/extension. Joint kinematics, in particular the knee joint, appeared to be sensitive to soft tissue stiffness parameters (rotational and translational mean difference up to 1.5° and 3.4 mm). Analysis of the results using alternative joint representations highlighted the versatility of the proposed modeling approach. This work paves the way for using personalized models to compensate for STA in healthy subjects and different activities.

Movement direction impacts knee joint kinematics during elliptical exercise at varying incline angles

The Knee ◽  
2021 ◽  
Vol 29 ◽  
pp. 201-207
Author(s):  
Erik T. Hummer ◽  
Eryn N. Murphy ◽  
David N. Suprak ◽  
Lorrie R. Brilla ◽  
Jun G. San Juan
Keyword(s):  
Knee Joint ◽  
Joint Kinematics ◽  
Movement Direction ◽  
Knee Joint Kinematics

The Impact of Intraoperative Gap Difference Between Extension and Flexion on Perception of Joint Function After Total Knee Arthroplasty: a Comparative Retrospective Study

2021 ◽  
Author(s):  
Tomohiro Okayoshi ◽  
Yoshinori Okamoto ◽  
Hitoshi Wakama ◽  
Shuhei Otsuki ◽  
Masashi Neo
Keyword(s):  
Total Knee Arthroplasty ◽  
Retrospective Study ◽  
Soft Tissue ◽  
Knee Joint ◽  
Predictive Factors ◽  
Knee Arthroplasty ◽  
Difference Threshold ◽  
Joint Function ◽  
Flexion Gap ◽  
Total Knee

Abstract Background: The argument presupposes that intra-operative soft tissue balance is associated with patient-reported outcome measures after total knee arthroplasty (TKA). Our aim was to assess the association between the extension-to-flexion gap and patients’ reported perception of knee joint function.Methods: This was a retrospective study of 60 cases of primary cruciate-retaining TKAs performed for the treatment of medial-compartment knee osteoarthritis, at a mean follow-up of 2.6 (range, 2.0–5.2) years. Knee perception was evaluated by asking patients whether they considered their knee joint as “natural” (grade I) or “artificial”, with or without restrictions (grades II–V). The following factors were compared between the two groups: age, sex, and the extension-to-flexion gap difference. A multiple logistic regression analysis was used to identify predictive factors of an artificial knee joint perception. A receiver operating characteristic curve analysis was used to identify cut-off values of predictive factors. Result: Compared to a natural knee joint perception (26 knees, 43%), an artificial perception (34 knees, 57%) was associated with a smaller gap difference at the distraction force of 20 lbf (p < .001), 30 lbf (p = .022), and 40 lbf (p = .038), a lower EuroQol 5-Dimension score (p = .029), and self-reported joint health (Knee injury and Osteoarthritis Outcome Score-Joint Replacement [KOOS-JR], p = .032). A gap difference <1.0 mm was a predictive of an artificial perception (odds ratio, 1.63; 95% confidence interval, 1.33–4.54; p < .001). A cut-off gap difference of 0.99 mm at 20 lbf predicted an artificial perception with a sensitivity of 81.5% and a specificity of 87.9%. Post-operative satisfaction (p < .001), KOOS-JR (p < .001), patient’s joint perception (p = .006), pain (p = .015), and EuroQol 5-Dimension (p = .032) differed between the two groups when the gap difference threshold was set to 1.0 mm.Conclusion: Careful balancing of soft tissue during TKA to achieve an extension-to-flexion gap ≥ 1.0 mm can improve patients’ perception of knee joint function and quality of life.

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