T Mendel1, K Appelt, P Kuhn, N Suhm. 1. Klinik für Unfall- und Wiederherstellungschirurgie, BG-Kliniken Bergmannstrost, Halle (Saale). thomasmendel@hotmail.com
Abstract
BACKGROUND: Minimally invasive sacroiliac (SI) screw fixation carries a high risk for implant malposition. Only idealised shape conceptions of the safe bony corridor exist. METHODS: Two SI corridor models were generated based on a 3D CT reconstruction of a human pelvis. Therefore two penetration depths of the screws into the sacrum were defined. RESULTS: By inserting screws into the centre of the first sacral body an osseous volume of 121 cm3 and an iliac entrance area of 53 cm2 were utilizable. Screw positioning beyond the opposite sacral isthmus leads to a reduction of the bony volume to 72 cm3 (60%) and a decrease of the iliac screw entrance to 20 cm2 (38%). CONCLUSION: The computed realistic 3D models provide exact references to confining bone structures for safe screw positions. The implementation of a software algorithm for fully automated calculation of such volumes based on fluoroscopic or CT images could enhance the performance of computer-assisted navigation systems.
BACKGROUND: Minimally invasive sacroiliac (SI) screw fixation carries a high risk for implant malposition. Only idealised shape conceptions of the safe bony corridor exist. METHODS: Two SI corridor models were generated based on a 3D CT reconstruction of a human pelvis. Therefore two penetration depths of the screws into the sacrum were defined. RESULTS: By inserting screws into the centre of the first sacral body an osseous volume of 121 cm3 and an iliac entrance area of 53 cm2 were utilizable. Screw positioning beyond the opposite sacral isthmus leads to a reduction of the bony volume to 72 cm3 (60%) and a decrease of the iliac screw entrance to 20 cm2 (38%). CONCLUSION: The computed realistic 3D models provide exact references to confining bone structures for safe screw positions. The implementation of a software algorithm for fully automated calculation of such volumes based on fluoroscopic or CT images could enhance the performance of computer-assisted navigation systems.
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