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 .
Technique and first clinical results of robot-assisted total knee replacement.
Total knee replacement ( TKR ) is a common procedure for treatment of severe gonarthrosis  , but the outcome may be unsatisfactory due to primary malalignment of the prosthetic components . In order to improve precision and accuracy of this surgical procedure , a commercial robotic surgical system ( CASPAR ) has been adapted to assist the surgeon in the preoperative planning and intraoperative execution of TKR . So far , 70 patients with idiopathic gonarthrosis were successfully treated with a robot-assisted technique in our institution . No major adverse events related to the use of the robotic system have been observed . The mean difference between preoperatively planned and postoperatively achieved tibiofemoral alignment was 0.8 degrees ( 0 - 4.1 degrees ) in the robotic group vs. 2.6 degrees ( 0 - 7 degrees ) in a manually operated historical control group of 50 patients . A clear advantage of robot-assisted TKR seems to be the ability to execute a highly precise preoperative plan based on computed tomography ( CT ) scans . Due to better alignment of the prosthetic components and improved bone-implant fit , implant loosening is anticipated to be diminished which may be most evident in non-cemented prostheses . Current disadvantages such as the need for placement of fiducial markers , increased operating times and higher overall costs have to be resolved in the future
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 .