Perlick, Lars and Tingart, Markus and Lerch, Klaus and Bathis, Holger (2004) Navigation-assisted, minimally invasive implant removal following a triple pelvic osteotomy. ARCHIVES OF ORTHOPAEDIC AND TRAUMA SURGERY, 124 (1). pp. 64-66. ISSN 0936-8051
Full text not available from this repository. (Request a copy)Abstract
Introduction. Triple pelvic osteotomy is known as a surgical option in young patients suffering from severe hip dysplasia. In most patients, implant removal is performed after bony consolidation. Due to the pelvic anatomy, the conventional technique is often associated with soft-tissue damage and high X-ray exposure. Recent developments in the field of computer-assisted surgery may offer new alternatives. The aim of this case report was to investigate the feasibility of a fluoroscopy-supported navigation system for the implant removal after a triple pelvic osteotomy. <LF>Materials and methods. Using the BrainLAB-VectorVision, a fluoroscopy-enhanced navigation system, implants were removed in a 24-year-old female patient 14 months after a triple pelvic osteotomy. Results. The navigation system showed a high feasibility in the instrument visualisation and implant localisation. The screws could be precisely located, simultaneously in different X-ray planes. The total X-ray exposure time was low, totalling 17 s. Conclusion. Initial experiences are very promising and show impressively the advantages of fluoroscopy-supported navigation for minimally invasive implant removal. A considerably reduced X-ray exposure for patient and surgeon is possible. The removal of the inserted screw is possible through a stitch incision, with reduced OR trauma and a quicker reconvalescence.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | ; pelvis osteotomy; navigation system; computer-assisted surgery; hip dysplasia |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Lehrstuhl für Orthopädie |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 02 Aug 2021 06:42 |
| Last Modified: | 02 Aug 2021 06:42 |
| URI: | https://pred.uni-regensburg.de/id/eprint/38020 |
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