Literature DB >> 29457342

Soft tissue balancing in total knee arthroplasty using sensor-guided assessment: is there a learning curve?

Monther A Gharaibeh1, Darren B Chen1, Samuel J MacDessi1.   

Abstract

BACKGROUND: Sensor-guided assessment for soft tissue balance in total knee arthroplasty (TKA) has been reported to improve patient satisfaction and self-reported outcome scores. As more surgeons adopt this technology in TKA, we performed this study to identify if there is a learning curve with its use.
METHODS: Analysis of a total of 90 consecutive cases was performed in this study. Initial and final intercompartmental pressure differences were recorded before and after knee ligament balancing. The first 45 patients (group 1) were compared to the last 45 patients (group 2) in terms of operative time and the final state of knee balance. A balanced knee was defined as pressure difference between medial and lateral compartments of ≤15 pounds.
RESULTS: Group 1 had 10 unbalanced knees in the final pressure difference assessment, while all cases in group 2 were balanced (P < 0.001). There was no statistically significant difference in mean operative time between the two groups. A scatter plot of intercompartmental pressure difference identified that after 30 cases, the capacity to achieve knee ligament balance improved.
CONCLUSION: This study suggests that there is a learning curve with the use of sensor-guided assessment in TKA in achieving knee balance; however, the differences noted between initial and final groups were small and may not be of clinical significance.
© 2018 Royal Australasian College of Surgeons.

Entities:  

Keywords:  knee arthroplasty; learning curve; ligament; surgical instrument

Mesh:

Year:  2018        PMID: 29457342     DOI: 10.1111/ans.14437

Source DB:  PubMed          Journal:  ANZ J Surg        ISSN: 1445-1433            Impact factor:   1.872


  4 in total

1.  Virtual and augmented reality for surgical training and simulation in knee arthroplasty.

Authors:  Graham S Goh; Ryan Lohre; Javad Parvizi; Danny P Goel
Journal:  Arch Orthop Trauma Surg       Date:  2021-07-15       Impact factor: 3.067

2.  Achieving a Balanced Knee in Robotic TKA.

Authors:  Alexander C Gordon; Michael A Conditt; Matthias A Verstraete
Journal:  Sensors (Basel)       Date:  2021-01-13       Impact factor: 3.576

3.  How to Quantitatively Balance a Total Knee? A Surgical Algorithm to Assure Balance and Control Alignment.

Authors:  Ryan E Moore; Michael A Conditt; Martin W Roche; Matthias A Verstraete
Journal:  Sensors (Basel)       Date:  2021-01-20       Impact factor: 3.576

4.  The learning curve in robotic assisted knee arthroplasty is flattened by the presence of a surgeon experienced with robotic assisted surgery.

Authors:  Clemens Schopper; Philipp Proier; Matthias Luger; Tobias Gotterbarm; Antonio Klasan
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2022-07-21       Impact factor: 4.114

  4 in total

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