TY - GEN
T1 - A 3D Printed Mechanical Model of the Knee to Detect and Avoid Total Knee Replacement Surgery Errors
AU - Mercader, Alexandra
AU - Röttinger, Timon
AU - Bigdeli, Amir
AU - Röttinger, Heinz
AU - Lueth, Tim C.
N1 - Publisher Copyright:
© 2021 IEEE
PY - 2021
Y1 - 2021
N2 - In this article, a novel 3D printed knee model for detecting possible errors in the planning and treatment of total knee replacement surgery is presented. This method is a first step towards automation of prosthesis placement. Thanks to the mathematically computed four-bar mechanism, it is now possible to emulate the implant insertion before the operation. This model allows the surgeon to fit the prosthesis to the patient's knee and to verify if the mounted position is optimal. This process can be repeated until the ideal position is found. Exact copies of the bones are made from the CT images of the patient. These resin copies of the real bones are placed in the motion model, reproducing the real patient's knee flexion. The model shows the implantation result with respect to the operation plan and the patient's kinematics. The experiment carried out on a patient's model according to the standard implantation shows a lift-off and sliding effect of the femoral component outside the joint area. However, this phenomenon is easily resolved if the femoral component is implanted about half a centimeter lateral to the knee's coronal axis. Until now, no medical research had questioned the lateral positioning of the prosthesis. This knee model provides an understanding of the important biomechanical parameters for total knee replacement surgery. This model will have a significant contribution to secure the surgery's success, increase patient satisfaction and reduce the overall number of revisions.
AB - In this article, a novel 3D printed knee model for detecting possible errors in the planning and treatment of total knee replacement surgery is presented. This method is a first step towards automation of prosthesis placement. Thanks to the mathematically computed four-bar mechanism, it is now possible to emulate the implant insertion before the operation. This model allows the surgeon to fit the prosthesis to the patient's knee and to verify if the mounted position is optimal. This process can be repeated until the ideal position is found. Exact copies of the bones are made from the CT images of the patient. These resin copies of the real bones are placed in the motion model, reproducing the real patient's knee flexion. The model shows the implantation result with respect to the operation plan and the patient's kinematics. The experiment carried out on a patient's model according to the standard implantation shows a lift-off and sliding effect of the femoral component outside the joint area. However, this phenomenon is easily resolved if the femoral component is implanted about half a centimeter lateral to the knee's coronal axis. Until now, no medical research had questioned the lateral positioning of the prosthesis. This knee model provides an understanding of the important biomechanical parameters for total knee replacement surgery. This model will have a significant contribution to secure the surgery's success, increase patient satisfaction and reduce the overall number of revisions.
UR - http://www.scopus.com/inward/record.url?scp=85125453525&partnerID=8YFLogxK
U2 - 10.1109/ICRA48506.2021.9561403
DO - 10.1109/ICRA48506.2021.9561403
M3 - Conference contribution
AN - SCOPUS:85125453525
T3 - Proceedings - IEEE International Conference on Robotics and Automation
SP - 12501
EP - 12507
BT - 2021 IEEE International Conference on Robotics and Automation, ICRA 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE International Conference on Robotics and Automation, ICRA 2021
Y2 - 30 May 2021 through 5 June 2021
ER -