Robotic-assisted bronchoscopy combined with digital tomosynthesis for pulmonary nodules characterization: a single center experience - Summary - MDSpire
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Integration of Robotic Bronchoscopy and Digital Tomosynthesis for Characterizing Pulmonary Nodules: Insights from a Single-Center Study
To assess the diagnostic performance, safety, and clinical feasibility of integrating robotic-assisted bronchoscopy with digital tomosynthesis in evaluating peripheral pulmonary lesions.
Approach:
Study Design: Retrospective observational study conducted at a tertiary referral center, including 82 patients with 94 sampled pulmonary lesions.
Procedural Method: Utilized Ion™ robotic platform combined with LungVision system for augmented fluoroscopy during bronchoscopy.
Data Collection: Collected lesion features, procedural characteristics, diagnostic yield, and complications for statistical analysis.
Key Findings:
Definitive cyto-histologic diagnosis achieved in 74.5% of cases.
Lesions ≥10 mm had a 79.2% diagnostic rate compared to 59.1% for smaller nodules.
Upper lobe location and lesion visibility on CABT were significant predictors of diagnostic success.
Interpretation:
The integration of robotic-assisted bronchoscopy with the LungVision system demonstrated high diagnostic efficacy and a favorable safety profile for sampling peripheral lung lesions.
Limitations:
Follow-up data for non-diagnostic cases were unavailable, preventing assessment of false-negative rates and sensitivity.
Significant costs associated with the procedure warrant further validation in future studies.
Conclusion:
The study presents findings on the efficacy and safety of the combined approach for diagnosing peripheral pulmonary lesions, indicating the need for future prospective studies.
by Flavio Marco Mirabelli, Emma Repaci, Gian Piero Bandelli, Thomas Galasso, Martina Ferioli, Marco Ferrari, Filippo Natali, Tommaso Abbate, Teresa Calari, Stefania Damiani, Francesca Giunchi, Mattia Riefolo, Lorenzo Scrofani, Annalisa Altimari, Elisa Gruppioni, Daniela Di Luca, Federica Pasquali, Piero Candoli
