Total knee arthroplasty with computer-assisted navigation: an analysis of 200 cases

Abstract

Objectiveto evaluate the results from surgery with computer-assisted navigation in cases of total knee arthroplasty.Methoda total of 196 patients who underwent total knee arthroplasty with computer-assisted navigation were evaluated. The extension and flexion spaces (gaps) were evaluated during the operation and the alignment after the operation was assessed. The Knee Society Score (KSS) questionnaire for assessing patient's function was applied preoperatively and postoperatively after a mean follow-up of 22 months.Resultsin all, 86.7% of the patients presented good alignment of the mechanical axis (less than 3° of varus or valgus in relation to the mechanical axis) and 96.4% of the patients presented balanced flexion and extension gaps. Before the operation, 97% of the patients presented poor or insufficient KSS, but after the operation, 77.6% presented good or excellent KSS.Conclusionthe navigation system made it possible to achieve aligned and balanced implants, with notable functional improvement among the patients. It was found to be useful in assessing, understanding and improving knowledge in relation to performing arthroplasty procedures.

Real-time Surgical Tools Recognition in Total Knee Arthroplasty Using Deep Neural Networks

“…TKA is a safe and effective treatment to restore function and relieve pain in patients with arthritic knee [1]. As the population ages, there has been a trend towards an increasing number of patients with this pathological condition and a higher demand for TKA.…”