The Use of Robotic-Assisted Bronchoscopy in the Diagnostic Evaluation of Peripheral Pulmonary Lesions: A Paradigm Shift

7Citations
Citations of this article
12Readers
Mendeley users who have this article in their library.

Abstract

Despite recent developments, evaluation of peripheral pulmonary lesions (PPL) remains clinically challenging, and the diagnostic yield of many image-guided and bronchoscopy methods is still poor. Furthermore, complications from such procedures, such as pneumothorax and airway hemorrhage, are a major concern. Recently launched robotic-assisted bronchoscopy (RAB) platforms are still in the early exploration stage and may provide another tool for achieving PPL evaluation. We present our experience here as a retrospective cohort study describing the 12-month diagnostic yield with the shape-sensing Ion™ platform for minimally invasive peripheral lung biopsy. The study describes forty-two patients undergoing shape sensing robotic-assisted bronchoscopy (ssRAB) at our institute. The early performance trend reveals a lesion localization of 100% and an overall 12-month diagnostic yield of 88.10%. The diagnostic yield for lesions less than 20 mm was 76% and for lesions greater than 20 mm was 100%. We also report our complication profile; we noted no pneumothoraces, excessive bleeding, or post-operative complications. In comparison to traditional bronchoscopy and image-guided modalities, our experience shows that ssRAB can be utilized successfully to travel to extremely small peripheral lesions with a higher diagnostic yield and better safety profile.

Cite

CITATION STYLE

APA

Hammad Altaq, H., Parmar, M., Syed Hussain, T., Salim, D. J., & Chaudry, F. A. (2023). The Use of Robotic-Assisted Bronchoscopy in the Diagnostic Evaluation of Peripheral Pulmonary Lesions: A Paradigm Shift. Diagnostics, 13(6). https://doi.org/10.3390/diagnostics13061049

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free