Computer-assisted total knee arthroplasty versus the conventional technique: how precise is navigation in clinical routine?

Tingart, Markus and Luering, Christian and Baethis, Holger and Beckmann, Johannes and Grifka, Joachim and Perlick, Lars (2008) Computer-assisted total knee arthroplasty versus the conventional technique: how precise is navigation in clinical routine? KNEE SURGERY SPORTS TRAUMATOLOGY ARTHROSCOPY, 16 (1). pp. 44-50. ISSN 0942-2056, 1433-7347

Full text not available from this repository. (Request a copy)

Abstract

Restoration of the mechanical leg axis and component positioning are crucial factors affecting long-term results in total knee arthroplasty (TKA). In a prospective study, 1,000 patients were operated on either using a CT-free navigation system or the conventional jig-based technique. Leg alignment and component orientation were determined on postoperative X-rays. The mechanical leg axis was significantly better in the computer-assisted group (95%, within +/- 3 degrees varus/valgus) compared to the conventional group (74%, within +/- 3 degrees varus/valgus) (P < 0.001). On average, the operating time was increased by 8 min in the computer-assisted group. No significant differences were seen between senior and younger surgeons regarding postoperative leg alignment and operating time. Computer-assisted TKA leads to a more accurate restoration of leg alignment and component orientation compared to the conventional jig-based technique. Potential benefits in long-term outcome and functional improvement require further investigation.

Item Type: Article
Uncontrolled Keywords: FEMORAL INTRAMEDULLARY GUIDES; SURGEON EXPERIENCE; CORONAL ALIGNMENT; CUTTING ERRORS; REPLACEMENT; IMPLANTATION; TRIAL; PROSTHESIS; PLACEMENT; ACCURACY; osteoarthritis; total knee replacement; computer-assisted surgery; navigation; leg alignment
Subjects: 600 Technology > 610 Medical sciences Medicine
Divisions: Medicine > Lehrstuhl für Orthopädie
Depositing User: Dr. Gernot Deinzer
Date Deposited: 18 Nov 2020 10:51
Last Modified: 18 Nov 2020 10:51
URI: https://pred.uni-regensburg.de/id/eprint/31703

Actions (login required)

View Item View Item