Robotic Bronchoscopy for Peripheral Pulmonary Lesion Biopsy: Evidence-Based Review of the Two Platforms.

lung cancer diagnosis lung nodule biopsy peripheral nodule sampling robot-assisted bronchoscopy robotic bronchoscopy

Journal

Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402

Informations de publication

Date de publication:
15 Aug 2021
Historique:
received: 30 07 2021
revised: 11 08 2021
accepted: 12 08 2021
entrez: 27 8 2021
pubmed: 28 8 2021
medline: 28 8 2021
Statut: epublish

Résumé

Despite many advancements in recent years for the sampling of peripheral pulmonary lesions, the diagnostic yield remains low. Initial excitement about the current electromagnetic navigation platforms has subsided as the real-world data shows a significantly lower diagnostic sensitivity of ~70%. "CT-to-body divergence" has been identified as a major limitation of this modality. In-tandem use of the ultrathin bronchoscope and radial endobronchial ultrasound probe has yielded only comparable results, attributable to the limited peripheral reach, device maneuverability, stability, and distractors like atelectasis. As such, experts have identified three key steps in peripheral nodule sampling-navigation (to the lesion), confirmation (of the correct location), and acquisition (tissue sampling by tools). Robotic bronchoscopy (RB) is a novel innovation that aspires to improve upon these aspects and consequently, achieve a better diagnostic yield. Through this publication, we aim to review the technical aspects, safety, feasibility, and early efficacy data for this new diagnostic modality.

Identifiants

pubmed: 34441413
pii: diagnostics11081479
doi: 10.3390/diagnostics11081479
pmc: PMC8391906
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

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Auteurs

Abhishek Kumar (A)

Department of Medicine, Division of Pulmonary and Critical Care Medicine, University of Nevada, Las Vegas, NV 89102, USA.

Jose D Caceres (JD)

Department of Medicine, Division of Pulmonary and Critical Care Medicine, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.

Siddharthan Vaithilingam (S)

Department of Medicine, Division of Pulmonary and Critical Care Medicine, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.

Gurshan Sandhu (G)

St. George's University School of Medicine, St. George's, Grenada.

Nikhil K Meena (NK)

Department of Medicine, Division of Pulmonary and Critical Care Medicine, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.

Classifications MeSH