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Area of Science:

  • Orthopaedic Surgery
  • Infectious Diseases
  • Nuclear Medicine

Background:

  • Periprosthetic joint infection (PJI) is a significant complication of arthroplasty.
  • Current PJI classification systems have limitations in borderline cases.
  • Effective management strategies for PJI are crucial for patient recovery.

Purpose of the Study:

  • To introduce a novel classification system for PJI based on the topography of the infectious process.
  • To guide orthopaedic surgeons in selecting appropriate diagnostic and treatment strategies for PJI.
  • To improve decision-making in PJI management, irrespective of symptom onset timing.

Main Methods:

  • Development of a new classification system focusing on the exact location of bacterial colonization.
  • Utilizing nuclear medicine imaging, specifically radiolabeled white blood cells (WBC) scans, for precise localization.
  • Reviewing current management options including debridement, antibiotics, and implant retention (DAIR), revision arthroplasty, and other surgical interventions.

Main Results:

  • The proposed topographical classification aids in differentiating between conservative and radical interventions.
  • Radiolabeled WBC scans can effectively identify the location and nature of PJI.
  • One-stage revision arthroplasty shows increasing popularity with comparable recurrence rates to two-stage revisions.

Conclusions:

  • A topography-based classification system offers a valuable tool for PJI management.
  • Nuclear medicine imaging plays a key role in diagnosing and localizing PJI.
  • Tailoring treatment based on infection location and characteristics can optimize surgical outcomes in PJI.