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Current spine procedures can suffer from a variety of complications resulting in a high incidence (up to 55%) of misplaced screws and implants. This can lead to devastating clinical consequences, including neurologic and vascular injury, and extensive physical, mental, and economic damage. Surgical navigation has a great potential to reduce these risks through accurate guidance; however present technologies rely on intraoperative imaging that uses ionizing radiation (e.g. computed tomography, or fluoroscopy), which limits surgical anatomy registration updates to less than 3-4 time points during surgery. They also require cumbersome and lengthy set-up and registration of fiducial markers and have limited abilities to account for motion that occurs during surgery and patient positioning. Therefore, the investigators propose a real-time intraoperative optical topographical imaging based surgical guidance system capable of accurately guiding the placement of implanted devices such as screws.
The hypothesis is that optical visualization of surgically exposed anatomy with the Biophotonics and Bioengineering Laboratory (BBL) surgical navigation prototype, when registered with pre-operative imaging (CT or MRI), can accurately estimate subsurface anatomy and allow tracking the position of surgical instruments in real-time, using an intraoperative non-contact optical imaging system during spinal surgical procedures. This is based on the completed preliminary study of 40 spinal procedures. The specific research aim is as follows: Validate the ability of the BBL surgical navigation prototype to function as the sole navigation system during spinal surgical procedures. The study will focus on testing the robustness of the system to appropriately function on a variety of spinal surgeries.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| BBL Experimental Navigation System | Experimental | As this is a single arm trial, all participants receive treatment. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| BBL Experimental Navigation System | Device | Comparison of accuracy of screw placement using experimental system. |
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| Measure | Description | Time Frame |
|---|---|---|
| Pilot hole and screw trajectory accuracy as compared between post-operative CT and intraoperative images | Comparison and quantification of accuracy of pilot holes including entry point and trajectory as taken from experimental navigation system as compared to absolute (or actual) entry point and trajectory of screws as determined by post-operative computed tomography scans. | Within 1 week of screw placement |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Albert Yee, MD, MSc | Sunnybrook Health Sciences Centre | Principal Investigator |
| Victor XD Yang, MD, PhD | Sunnybrook Health Sciences Centre | Principal Investigator |
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| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| Background | Merloz P, Tonetti J, Eld A, et al, Computer-assisted versus manual spine surgery: Clinical report, Springer Berlin, 1997. | ||
| 11224881 | Background | Rampersaud YR, Simon DA, Foley KT. Accuracy requirements for image-guided spinal pedicle screw placement. Spine (Phila Pa 1976). 2001 Feb 15;26(4):352-9. doi: 10.1097/00007632-200102150-00010. | |
| Background | Zdichaversusky M, Blauth M, Knop C, Graessner M, Herrmann H, Krettek C, Bastian L, Accuracy of Pedicle Screw Placement in Thoracic Spine Fractures, European Journal of Trauma, 30:234-240, 2004. | ||
| 23682345 |
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| Background |
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