Kunming, Yunnan —— A training class of limited type technique (knee arthroplasty) and robot-assisted total knee arthroplasty technique has recently been held successfully by Yunnan TCM (Orthopedics and Traumatology) Clinical Medical Center at the Orthopedics and Traumatology Department, Chenggong Section, Kunming Municipal Hospital of Traditional Chinese Medicine. Professor Min Chang, instructor expert of Yunnan TCM (Orthopedics and Traumatology) Clinical Medical Center, Xiaotian Li, secretary of the Party Committee of Kunming Municipal Hospital of Traditional Chinese Medicine, Chengkui Geng, director of the Orthopedics Society of Kunming Medical Association, Dr. Chuan Li of No. 920 Hospital, Lvyu Li, deputy director of the Medical Department of Kunming Municipal Hospital of Traditional Chinese Medicine, Ying Guo, director of the Orthopedics and Traumatology Department of Kunming Municipal Hospital of Traditional Chinese Medicine, director Zhixiong Wu of the Second People's Hospital of Kunming, director Linxin Yu of the First People's Hospital of Kunming and director Jianyi Yang of Guandu District People's Hospital were present at the opening ceremony presided over by Professor Ying Guo. The orthopedic elites from all over Yunnan Province participated in the training class, watched the live lecture of the theory of robot-assisted TKA, with a group photo taken at the class. Kunming Municipal Hospital of Traditional Chinese Medicine, as one of the multi-center research teams of MedBot^® in Yunnan Province, successfully performed a robot-assisted TKA on the day when the training class started.

Honghu Orthopedic Surgical Robot (Honghu) independently developed by MicroPort NaviBot (Suzhou) Co., Ltd., a subsidiary of Shanghai MicroPort MedBot (Group) Co., Ltd. (MedBot^®) can transform the traditional surgical experience into the base for digital surgical planning. For doctors who use robots for the first time, Honghu is short in TKA learning curve, strong in stability and high accuracy of robotic arms during operation. This enhances the confidence of operators and provides advanced orthopedic surgical solutions to more patients.

The knee joint pain with limited activity has tortured the patient for about 10 years, leading to low quality and great pain of life.

After carefully assessing the patient's condition, the medical team worked out a set of accurate personalized surgical plan and performed the CT 3D reconstruction of the patient's knee joint through the robot system. The human-computer interactive operation platform of robot guided the robotic arm registration and bone registration nimbly during the procedure, the robotic arms accurately positioned the pre-planned position, assisted Director Ying Guo in the osteotomy of femur and tibia and the matching with the MicroPort^®Orthopedics medial-pivot knee system, and the whole operation was completed smoothly and efficiently.

Postoperative measurement shows that the actual osteotomy is completely consistent with the planned value. The patient recovered fast after the operation, and the lower limb showed that the force line had been accurately recovered, which proved the precise characteristics of Honghu^.

Director Ying Guo of the Orthopedics and Traumatology Department said that TKA is a common technique for treating knee joint diseases, which can effectively treat knee joint pain of the advanced stage and improve patients' quality of life. The 3D pre-operative planning function of robot is powerful, enabling the doctors to collect more patient information during procedure and implant the prostheses in a more reasonable position. The traditional knee arthroplasty is often inaccurate in the intramedullary positioning procedure, but the robot-assisted TKA greatly improves the accuracy of surgery, recovers the force line more perfectly, reduces the bleeding and other injuries effectively, and enables patients to recover faster. The success of robot-assisted TKA provides more patients with more accurate and minimal invasive treatment, and achieves the goal of faster recovery.