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Related Experiment Video

Updated: Apr 30, 2026

Novel Diagnostics in Revision Arthroplasty: Implant Sonication and Multiplex Polymerase Chain Reaction
10:35

Novel Diagnostics in Revision Arthroplasty: Implant Sonication and Multiplex Polymerase Chain Reaction

Published on: December 3, 2017

12.6K

[A diagnostic algorithm for painful total knee replacement].

B Fink1, R Lass2

  • 1Orthopädische Klinik Markgröningen.

Zeitschrift Fur Orthopadie Und Unfallchirurgie
|April 25, 2014
PubMed
Summary
This summary is machine-generated.

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A diagnostic algorithm helps surgeons analyze unexplained pain after total knee arthroplasty (TKA). This systematic approach aids in identifying failure mechanisms for better patient outcomes and revision surgery decisions.

Area of Science:

  • Orthopedic surgery
  • Arthroplasty
  • Biomechanical analysis

Context:

  • Total knee arthroplasty (TKA) is a common orthopedic procedure with high survival rates.
  • However, approximately 20% of patients report dissatisfaction due to persistent pain.
  • Unexplained painful TKA presents a significant challenge for surgeons, necessitating a structured diagnostic approach.

Purpose:

  • To present a practical diagnostic algorithm for evaluating painful total knee arthroplasty (TKA).
  • To guide surgeons in differentiating between mechanical and non-mechanical causes of TKA failure.
  • To facilitate accurate diagnosis prior to considering revision surgery.

Summary:

  • The evaluation of painful TKA involves a detailed patient history, comprehensive clinical examination (including spine, hip, and ankle), radiographic and laboratory analyses.

Related Experiment Videos

Last Updated: Apr 30, 2026

Novel Diagnostics in Revision Arthroplasty: Implant Sonication and Multiplex Polymerase Chain Reaction
10:35

Novel Diagnostics in Revision Arthroplasty: Implant Sonication and Multiplex Polymerase Chain Reaction

Published on: December 3, 2017

12.6K
  • Invasive examinations such as joint aspiration and biopsies are crucial for definitive diagnosis.
  • The algorithm aids in classifying failure causes into extra- and intra-articular disorders, with intra-articular causes further divided into biological and mechanical origins.

    • Impact:

    • Provides a systematic tool for failure analysis in painful TKA cases.
    • Aids in accurate diagnosis, potentially improving patient satisfaction and outcomes.
    • Supports informed decision-making regarding revision surgery for total knee replacements.