Computer-assisted surgery for dynamic hip screw, using Surgix, a novel intraoperative guiding system.

TitleComputer-assisted surgery for dynamic hip screw, using Surgix, a novel intraoperative guiding system.
Publication TypeJournal Article
Year of Publication2009
AuthorsHerman A, Dekel A, Botser I B, Steinberg EL
JournalThe international journal of medical robotics + computer assisted surgery : MRCAS
Date Published2009 Mar
KeywordsAged, Aged, 80 and over, Bone Screws, Equipment Design, Female, Femoral Fractures, Fluoroscopy, Fracture Fixation, Internal, Hip Fractures, Humans, Imaging, Three-Dimensional, Internal Fixators, Male, Radiographic Image Interpretation, Computer-Assisted, Surgery, Computer-Assisted

BACKGROUND: We present Surgix, a new computer-assisted surgery system (CASS). This system uses image analysis technology in order to measure three-dimensional (3D) distances, visualize implant templates and view the guided trajectory on standard fluoroscopy. Our purpose was to compare surgery results and technique with and without the Surgix CASS.

METHODS: The study included 61 dynamic hip screw (DHS) procedures. The Surgix system was used in 41 procedures. We compared the number of guide wire insertion trials and the time needed for each trial, the number of X-ray pulses, tip-apex index, nine-quadrant position and shaft-neck angle.

RESULTS: The procedures were carried out by experienced users (> or = five operations, using the system) and had a first-trial guide wire insertion success rate of 77.8%, compared to a rate of 10% for the control group (p = 0.001) and fewer insertion trials (1.33 vs. 3.05, respectively; p = 0.001). The mean number of fluoroscopy pulses was 41.5% lower for the experienced group than for the control (17.6 vs. 30.1; p = 0.009). There were no significant differences in tip-apex distance, favourable quadrant screw placement or neck-shaft angle.

CONCLUSION: The results of this study demonstrate that the Surgix CASS significantly improves the accuracy of hardware positioning and reduces radiation exposure time, thus enhancing patient outcome.

Alternate JournalInt J Med Robot
PubMed ID19115246
Project Category: