Robotic bronchoscopy for the diagnosis of pulmonary lesions Review


Authors: McLoughlin, K. C.; Bott, M. J.
Review Title: Robotic bronchoscopy for the diagnosis of pulmonary lesions
Abstract: Pulmonary nodules (lesions <3 cm in size) are commonly identified on computed tomographic scans, but radiographic features alone are inadequate to reliably differentiate between benign and malignant etiologies. Therefore, tissue biopsy remains the standard approach to determine the appropriate treatment course for many patients with pulmonary nodules. Although percutaneous biopsy is highly accurate, it poses substantial risks of procedural complications, including pneumothorax and bleeding. Robotic bronchoscopy has recently been developed to overcome many of the limitations of previous navigational platforms. Here, we explore the currently available systems for robotic bronchoscopy-in particular, electromagnetic-navigation robotic-assisted bronchoscopy and shape-sensing robotic-assisted bronchoscopy. Copyright © 2022 Elsevier Inc. All rights reserved.
Keywords: lung neoplasms; pathology; diagnostic imaging; lung tumor; lung; bronchoscopy; pulmonary nodules; multiple pulmonary nodules; procedures; humans; human; robotic surgical procedures; robot assisted surgery; robotic bronchoscopy; electromagnetism; electromagnetic phenomena; electromagnetic-navigation robotic-assisted bronchoscopy; shape-sensing robotic-assisted bronchoscopy
Journal Title: Thoracic Surgery Clinics
Volume: 33
Issue: 1
ISSN: 1547-4127
Publisher: W.B. Saunders Co-Elsevier Inc.  
Date Published: 2023-02-01
Start Page: 109
End Page: 116
Language: English
DOI: 10.1016/j.thorsurg.2022.08.008
PUBMED: 36372527
PROVIDER: scopus
DOI/URL:
Notes: Review -- The MSK Cancer Center Support Grant (P30 CA008748) is acknowledged in the PDF -- Corresponding author is MSK author Matthew J. Bott -- Export Date: 1 December 2022 -- Source: Scopus
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