While undergoing chest wall resection, a surgeon's major concern is obtaining an appropriate surgical margin. Difficulty or failure to do so can result in prolonged operative time, need for re-operation due to a positive resection margin, or need for complex chest wall reconstruction due to unnecessarily wide resection. Over the last decades, surgical navigation systems have been developed to improve operative precision in various surgical fields. This is achieved by integrating patient images with intraoperative findings.
Integration of CT imaging systems into the operating room now provide real-time 3D images of patient anatomy during surgery. This better adjusts for anatomical deformation and tissue excision compared to using preoperative images alone. Twenty patients scheduled for chest wall resection will be enrolled over the study duration of 2 years. Patients will undergo imaging and surgery in the GTx-OR at Toronto General Hospital, as part of the GTx Program of the TECHNA Institute. All patients will be asked to consent to receiving their care in a research environment. They will also be asked to consent to having the intraoperative image acquired and used to generate a navigation view in the GTx-OR. Instead of resecting the chest wall lesion according to the preoperative images alone with intraoperative findings as per standard-care procedures, the navigation view will be used as an additional reference for surgeons during the operation.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
OTHER
Masking
NONE
Navigation system providing surgeons with an additional view of the chest wall lesion
Toronto General Hospital
Toronto, Ontario, Canada
Performance metrics for navigation-assisted chest wall resection
Time frame: 2 years
Image accuracy metrics - Intraoperative CBCT and preoperative CT will be compared to confirm accuracy in predicting the anatomical relationship of lesions with adjacent structures.
Time frame: 2 years
Incident reports of OR-related delays and malfunctions
Time frame: 2 years
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