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Real-time computed tomography fluoroscopy-guided dye marking prior to robotic pulmonary resection
Yoko Yamamoto1, Naoki Ikeda2, Masahisa Nakamura3
1Department of General Thoracic Surgery, Sakai City Medical Center Hospital, Ebaraji-Cho, Nishi-Ku, Sakai-Shi, Osaka, 593-8304, Japan. yokes615@yahoo.co.jp.
Journal of Cardiothoracic Surgery
|December 30, 2024
Summary
CT-guided dye marking of lung nodules before robotic surgery is safe and effective. This technique aids surgeons in locating small pulmonary nodules, improving the success of robotic sublobar resections.
Area of Science:
- Thoracic Surgery
- Surgical Oncology
- Medical Imaging
Background:
- Robotic surgery lacks tactile feedback, making tumor localization challenging.
- Visual cues are primary for surgeons, necessitating improved localization methods.
- Preoperative marking techniques are explored to enhance robotic pulmonary nodule resection.
Purpose of the Study:
- To evaluate the efficacy and safety of CT-guided dye marking for lung nodules before robotic surgery.
- To assess the feasibility of dye marking in improving intraoperative visualization and resection.
- To determine the complication rates associated with the dye marking procedure.
Main Methods:
- Retrospective analysis of patients undergoing CT-guided dye marking before robotic surgery (September 2019 - April 2024).
- Utilized indigo carmine and indocyanine green for dye marking of pulmonary nodules.
- Assessed visualization rates, complications, and subsequent surgical outcomes.
Main Results:
- Successful dye marking in 29/30 (96.7%) lung nodules across 29 patients.
- Indigo carmine and indocyanine green were used for 20 and 10 nodules, respectively.
- Slight pneumothorax occurred in 20.7% of patients, with no need for chest tubes. All nodules were resected with negative margins.
Conclusions:
- CT-guided dye marking is a feasible and safe adjunct for robotic pulmonary nodule resection.
- This method enhances the ability to perform robotic sublobar resections accurately.
- Improved nodule visualization facilitates precise surgical planning and execution in robotic thoracic procedures.

