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Updated: Aug 5, 2026

Robotic-assisted Bronchoscopy Combined with Multimodal Imaging for Targeted Lung Cryobiopsies
Published on: July 19, 2024
The Additional Accuracy Gained by Cone Beam CT in Shape-Sensing Robotic Bronchoscopy
Alberto E Revelo1, Jing Peng2, Jianing Ma2
1Department of Pulmonary, Critical Care and Sleep Medicine, The Ohio State University Wexner Medical Center and The James Comprehensive Cancer Center, Columbus, OH.
Adding cone beam CT (CBCT) to robotic-assisted bronchoscopy (RAB) significantly improves pulmonary nodule biopsy accuracy. This combination enhances real-time needle positioning, aiding diagnostic and therapeutic interventions.
Area of Science:
- Pulmonology
- Medical Imaging
- Robotic Surgery
Background:
- Robotic-assisted bronchoscopy (RAB) utilizes real-time adjustments for enhanced accuracy.
- Cone beam CT (CBCT) provides intraprocedural 3D imaging of biopsy tools relative to lesions.
Purpose of the Study:
- To evaluate the accuracy of biopsy needle placement in pulmonary nodules using shape-sensing RAB alone versus RAB with CBCT guidance.
- To determine if CBCT enhances the precision of robotic bronchoscopy.
Main Methods:
- 102 pulmonary nodules were biopsied using shape-sensing RAB.
- Needle position relative to the nodule center was assessed using CBCT.
- Repositioning occurred after 1-2 CBCT adjustments based on 3D imaging.
Main Results:
- RAB alone achieved center placement in 26.5% of nodules.
- Adding CBCT significantly improved needle proximity to the lesion center (P < .001).
- Radial endobronchial ultrasound images improved from eccentric to concentric.
Conclusions:
- CBCT integration with RAB substantially improves biopsy tool accuracy in pulmonary nodules.
- This enhanced accuracy may increase the reliability of diagnostic and therapeutic bronchoscopic interventions.
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