[A cadaveric experimental study on domestic robot-assisted total knee arthroplasty].

2021 
Objective To simulate and validate the performance, accuracy, and safety of the Yuanhua robotic-assisted total knee arthroplasty system (YUANHUA-TKA) through cadaver-based experiment, thus optimizing the robotic system for the future human clinical application. Methods Six unilateral adult cadaver specimens of the lower limbs were scanned by three-dimensional CT before the experiment, and then the three-dimensional models of femur and tibia were obtained by using the preoperative software of YUANHUA-TKA system, so as to plan the type of prosthesis implant, the osteotomy volume and osteotomy angles [hip-knee-ankle angle (HKA), coronal frontal femoral component (FFC) and frontal tibial component (FTC)], the ideal value of HKA was set to 180°, and of FFC and FTC were set to 90°, respectively. The operator could further confirm the osteotomy plan according to the intraoperative situation before osteotomy, and then install the prosthesis after completing the osteotomy in each plane with the assistance of YUANHUA-TKA system. At last, the X-ray films of hip joint, knee joint, and ankle joint were taken and stitched into the full length X-ray film of the lower limb, and HKA, coronal FFC and FTC were measured. Results During the experiment, YUANHUA-TKA system ran stably. All sections of femur and tibia were smooth and no ligament injury was found. After operation, the HKA was 177.1°-179.7°, FFC was 87.9°-91.4°, and FTC was 87.3°-91.4°, which were within ±3° from the ideal values of preoperative planning. Conclusion The YUANHUA-TKA system can assist the surgeon to carry out precise osteotomy according to the preoperative planned value, which has a good auxiliary effect for total knee arthroplasty. It is expected to assist joint surgeons to improve the surgical accuracy in clinical application.
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    9
    References
    0
    Citations
    NaN
    KQI
    []