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 |