AI Article Synopsis

  • Bicompartmental knee arthroplasty (BiKA) is an effective alternative to total knee replacement for patients with degenerative issues affecting only two compartments of the knee.
  • Recent advancements in robotic-assisted systems have improved outcomes for these surgeries by enhancing component placement and balancing ligaments during the procedure.
  • In a study involving 29 patients, 83% achieved good to excellent results, supporting the hypothesis that robotic-assisted BiKA is a strong choice for treating localized knee degeneration.

Article Abstract

Purpose. Bicompartmental knee arthroplasty (BiKA) is a favorable alternative to total knee arthroplasty for degenerative disease limited to two knee compartments. Recently developed robotic-assisted systems improved the clinical efficacy of unicompartmental knee arthroplasty by providing enhanced component positioning with dynamic ligament balancing. The purpose of this study was to evaluate the short-term outcomes of patients, undergoing bicompartmental knee arthroplasty at a single institution by a single surgeon using a robotic-assisted system. It was hypothesized that robotic assisted BiKA is a prevailing choice for degenerative disease limited to two knee compartments with good functional results. Methods. A search of the institution's joint registry was conducted to identify patients that underwent robotic-assisted BiKA of the patellofemoral compartment and the medial or lateral compartment. Results. A total number of 29 patients (30 BiKA) with a mean age of 63.6 years were identified who received a patellofemoral resurfacing in combination with medial or lateral compartment resurfacing. Twenty-four out of 29 patients had good to excellent outcome. Conclusion. Robotic assisted bicompartmental arthroplasty using broad indications and only excluding patients with severe deformity and those that have less than 4 mm of joint space in the surviving compartment demonstrated 83% good to excellent results.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4573219PMC
http://dx.doi.org/10.1155/2015/747309DOI Listing

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