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 robot-assisted and conventional total knee arthroplasty: A controlled cadaver study using multiparameter quantitative three-dimensional CT assessment of alignment
Introduction : A functional total knee replacement has to be well aligned , which implies that it should lie along the mechanical axis and in the correct axial and rotational planes . Incorrect alignment will lead to abnormal wear , early mechanical loosening , and patellofemoral problems . There has been increased interest of late in total knee arthroplasty with robotic assistance . This study was conducted to determine whether robot-assisted total knee arthroplasty is superior to the conventional surgical method with regard to the precision of implant positioning . Material s and Methods : Twenty knee replacements , comprising ten robot-assisted procedures and ten conventional operations , were performed on ten cadavers . Two experienced surgeons performed the surgeries . Both procedures on each cadaver were performed by the same surgeon . The choice of which procedure was to be performed first was r and omized . Following implantation of the prosthesis , the mechanical axis deviation , femoral coronal angle , tibial coronal angle , femoral sagittal angle , tibial sagittal angle , and femoral rotational alignment were measured via 3D CT scanning . These variables were then compared with the preoperatively planned values . Results : In the knees that underwent robot-assisted surgery , the mechanical axis deviation ranged from −1.94 ° to 2.13 ° ( mean : −0.21 ° ) , the femoral coronal angle from 88.08 ° to 90.99 ° ( mean : 89.81 ° ) , the tibial coronal angle from 89.01 ° to 92.36 ° ( mean : 90.42 ° ) , the tibial sagittal angle from 81.72 ° to 86.24 ° ( mean : 83.20 ° ) , and the femoral rotational alignment from 0.02 ° to 1.15 ° ( mean : 0.52 ° ) in relation to the transepicondylar axis . In the knees that underwent conventional surgery  , the mechanical axis deviation ranged from −3.19 ° to 3.84 ° ( mean : −0.48 ° ) , the femoral coronal angle from 88.36 ° to 92.29 ° ( mean : 90.50 ° ) , the tibial coronal angle from 88.15 ° to 91.51 ° ( mean : 89.83 ° ) , the tibial sagittal angle from 80.06 ° to 87.34 ° ( mean : 84.50 ° ) , and the femoral rotational alignment from 0.32 ° to 4.13 ° ( mean : 2.76 ° ) in relation to the transepicondylar axis . In the conventional knee replacement group , there were two instances of outliers outside the range of 3 ° varus/valgus for the mechanical axis deviation . The robot-assisted knee replacements showed significantly superior femoral rotational alignment results compared with conventional surgery ( p = 0.006 ) . There was no statistically significant difference between robot-assisted and conventional total knee arthroplasty with regard to the other variables . All the measurements showed high intra-observer and inter-observer reliability . Conclusion : Robot-assisted total knee arthroplasty showed excellent precision in the sagittal and coronal planes of the 3D CT scan . In particular , the robot-assisted technique showed better accuracy in femoral rotational alignment compared to the conventional surgery , despite the fact that the surgeons who performed the operations were more experienced and familiar with the conventional method than with robot-assisted surgery . It can thus be concluded that robot-assisted total knee arthroplasty is superior to conventional total knee arthroplasty
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 .