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Total Knee Arthroplasty Biomechanics: Innovative Evidence

Total Knee Arthroplasty Biomechanics: Innovative Evidence

Restoration of the individual’s knee anatomy and ligament tension is the final goal of any total knee arthroplasty (TKA) procedure. Recent technology innovations (computer assisted surgery, robotics, virtual reality software, pressure sensors) have been developed to help surgeons to be more precise in reproducing the knee normal kinematics. The human knee has very particular kinematics: the medial and lateral compartments significantly differ in terms of load bearing, tibio-femoral contact points during range of motion and axial rotation; in addition to this, alteration to the patello-femoral joint tracking following TKA has been linked to patient un-satisfaction. The influence of these promising new techniques on the postoperative knee biomechanics has to be fully established. 

The goal of this special issue is to produce current evidence on how these new technologies are helping arthroplasty surgeons to meet their expectations in reproducing a normal knee kinematics after TKA. Optimal knee balance and satisfactory knee alignment following TKA are keys to success: preoperative planning using digital software, intraoperative navigation to balance the soft tissue, robotics to perform accurate the bone cuts and final load checks using pressure sensitive devices are parts of the arthroplasty surgeon armamentarium but the real benefits, from a knee kinematic standpoint, still need to be determined. The guest editors of this special issue are interested in investigating the impact of modern technologies in the post-TKA knee biomechanics. 

We welcome original research articles, review works and commentary related to potential topics include, but are not limited to, the following:

• Gait analysis after TKA
• Fluoroscopic evaluation of knee replacement patients
• Dynamic Radiostereometric Analysis (RSA) after TKA
• Finite element analysis of TKA
• Inertial motion capture in arthroplasty
• Wearable sensors in knee joint forces estimation
• Machine learning techniques in TKA kinematics
• Knee kinematics prediction
• 2D/3D registration of knee kinematics

Submissions of both commissioned and non-commissioned content should be formatted according to the journal’s guideline. All manuscripts will undergo standard peer review, and must be submitted through Editorial Manager.

Submission Deadline: December 31, 2022.

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Annual Journal Metrics

  • Speed
    35 days to first decision for all manuscripts
    48 days to first decision for reviewed manuscripts
    139 days from submission to acceptance
    25 days from acceptance to publication

    Citation Impact
    0.431 - Source Normalized Impact per Paper (SNIP)
    0.5 - CiteScore

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