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Author Spotlight: Expanding Interventional Pulmonology Research with Robotic-Assisted Bronchoscopy
Published on: July 19, 2024
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Shape-sensing Robotic-assisted Bronchoscopy (SS-RAB) in Sampling Peripheral Pulmonary Nodules: A Prospective,
Fangfang Xie1,2, Quncheng Zhang3, Chuanyong Mu4
1Department of Respiratory Endoscopy, Department of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine.
Journal of Bronchology & Interventional Pulmonology
|August 8, 2024
Summary
Shape-sensing robotic-assisted bronchoscopy (SS-RAB) safely and effectively biopsies peripheral pulmonary nodules in China. This emerging technology shows strong diagnostic performance for lung nodules, with a high success rate and low complication rate.
Area of Science:
- Pulmonology
- Medical Robotics
- Diagnostic Imaging
Background:
- Peripheral pulmonary nodules (PPNs) require accurate diagnosis.
- Shape-sensing robotic-assisted bronchoscopy (SS-RAB) is a novel platform for PPN biopsy.
- Data on SS-RAB use in the Chinese population is limited.
Purpose of the Study:
- To assess the feasibility and safety of SS-RAB for diagnosing PPNs in China.
- To evaluate the diagnostic yield and complication rates of SS-RAB in a multicenter setting.
Main Methods:
- Prospective, multicenter study of consecutive patients with PPNs (8-30 mm).
- SS-RAB used for lesion localization and tissue sampling with Flexision biopsy needle, forceps, and brush.
- Radial endobronchial ultrasound (rEBUS) used for lesion confirmation.
Main Results:
- 90 PPNs biopsied in 90 subjects across 3 centers.
- 100% successful catheter navigation to target nodules.
- Diagnostic yield of 87.8%; sensitivity for malignancy 87.7%.
- Overall pneumothorax rate 1.1% (no intervention needed); no periprocedural bleeding.
Conclusions:
- SS-RAB is a safe and feasible technology for PPN biopsy in the Chinese population.
- SS-RAB demonstrates strong diagnostic performance for PPNs.
- rEBUS view was significantly associated with achieving a diagnostic sample.
