A literature review of robotic systems showed that these systems can , similarly to computer navigation , reliably improve lower leg alignment , component positioning and soft tissues balancing .
Findings in this study suggest that computer navigation or robotic assistance may help managing these multiple variables and could improve outcomes .
Recently , there is a growing interest in surgical variables that are intraoperatively controlled by orthopaedic surgeons , including lower leg alignment , component positioning and soft tissues balancing .
Since more tight control over these factors is associated with improved outcomes of unicompartmental knee arthroplasty and total knee arthroplasty ( TKA ) , several computer navigation and robotic-assisted systems have been developed .
Although mechanical axis accuracy and component positioning have been shown to improve with computer navigation , no superiority in functional outcomes has yet been shown .
This could be explained by the fact that many differences exist between the number and type of surgical variables these systems control .
Most systems control lower leg alignment and component positioning , while some in addition control soft tissue balancing .
Finally , robotic-assisted systems have the additional advantage of improving surgical precision .
Manually controlling all these surgical variables can be difficult for the orthopaedic surgeon .
Comparison of robotic-assisted and conventional manual implantation of a primary total knee arthroplasty.
This study was aim ed to compare robotic-assisted implantation of a total knee arthroplasty with conventional manual implantation . We controlled , r and omized , and review ed 72 patients for total knee arthroplasty assigned to undergo either conventional manual implantation ( excluding navigation-assisted implantation cases ) of a Zimmer LPS prosthesis ( Zimmer , Warsaw , Ind ) ( 30 patients : group 1 ) or robotic-assisted implantation of such a prosthesis ( 32 patients : group 2 ) . The femoral flexion angle ( gamma angle ) and tibial angle ( delta angle ) in the lateral x-ray of group 1 were 4.19 + /- 3.28 degrees and 89.7 + /- 1.7 degrees , and those of group 2 were 0.17 + /- 0.65 degrees and 85.5 + /- 0.92 degrees . The major complications were from improper small skin incision during a constraint attempt of minimally invasive surgery and during bulk fixation frame pins insertion . Robotic-assisted technology had definite advantages in terms of preoperative planning , accuracy of the intraoperative procedure , and postoperative follow-up , especially in the femoral flexion angle ( gamma angle ) and tibial flexion angle ( delta angle ) in the lateral x-ray , and in the femoral flexion angle ( alpha angle ) in the anteroposterior x-ray . But a disadvantage was the high complication rate in early stage
A literature review of robotic systems showed that these systems can , similarly to computer navigation , reliably improve lower leg alignment , component positioning and soft tissues balancing .
Findings in this study suggest that computer navigation or robotic assistance may help managing these multiple variables and could improve outcomes .
Recently , there is a growing interest in surgical variables that are intraoperatively controlled by orthopaedic surgeons , including lower leg alignment , component positioning and soft tissues balancing .
Since more tight control over these factors is associated with improved outcomes of unicompartmental knee arthroplasty and total knee arthroplasty ( TKA ) , several computer navigation and robotic-assisted systems have been developed .
Although mechanical axis accuracy and component positioning have been shown to improve with computer navigation , no superiority in functional outcomes has yet been shown .
This could be explained by the fact that many differences exist between the number and type of surgical variables these systems control .
Most systems control lower leg alignment and component positioning , while some in addition control soft tissue balancing .
Finally , robotic-assisted systems have the additional advantage of improving surgical precision .
Manually controlling all these surgical variables can be difficult for the orthopaedic surgeon .