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

Abhishek Kumar, Jose Diego Caceres, Siddharthan Vaithilingam, Gurshan Sandhu, Nikhil Meena

2021Diagnostics18 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

MedicineRadiologyBronchoscopySampling (signal processing)PeripheralLesionModality (human–computer interaction)BiopsySurgeryComputer scienceArtificial intelligenceComputer visionInternal medicineFilter (signal processing)Lung Cancer Diagnosis and TreatmentTracheal and airway disordersMedical Imaging and Pathology Studies
Robotic Bronchoscopy for Peripheral Pulmonary Lesion Biopsy: Evidence-Based Review of the Two Platforms | Litcius