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Toward Intraoperative Image-Guided Transoral Robotic Surgery
Wen P Liu1, Sureerat Reaugamornrat1, Anton Deguet1
1Department of Computer Science, Johns Hopkins University.
Journal of Robotic Surgery
|December 20, 2014
Summary
This study introduces image guidance for transoral robotic surgery (TORS) using augmented video to improve tumor resection. The new system significantly reduced localization errors in animal tests compared to standard methods.
Area of Science:
- Robotic Surgery
- Surgical Navigation
- Medical Imaging
Background:
- Transoral robotic surgery (TORS) is increasingly used for base of tongue tumor resection.
- Accurate identification and navigation of critical structures are crucial for TORS success.
- Current TORS lacks advanced intraoperative guidance, potentially limiting precision.
Purpose of the Study:
- To develop and evaluate a video augmentation system with intraoperative image guidance for TORS.
- To enhance navigation, spatial orientation, and confidence during base of tongue tumor resection.
- To improve the accuracy of surgical target localization in TORS.
Main Methods:
- Development of a video augmentation workflow for the da Vinci S robotic system.
- Segmentation of tumors and critical structures from preoperative CT/MR imaging.
- Deformable registration of preoperative data to intraoperative endoscopic views using C-arm cone-beam CT (CBCT).
Main Results:
- The proposed image guidance system demonstrated a statistically significant improvement in target localization error.
- Comparison was made against simulated current practice in transoral robotic surgery.
- Experiments were conducted using animal specimens to validate the system's efficacy.
Conclusions:
- Video augmentation with intraoperative image guidance shows promise for enhancing TORS procedures.
- The developed system has the potential to improve surgical outcomes in base of tongue tumor resection.
- Further clinical evaluation is warranted to confirm benefits in human patients.

