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Advanced Imaging for Robotic Bronchoscopy: A Review

Nakul Ravikumar, Elliot Ho, Ajay Wagh, Septimiu Murgu

2023Diagnostics23 citationsDOIOpen Access PDF

Abstract

Recent advances in navigational platforms have led bronchoscopists to make major strides in diagnostic interventions for pulmonary parenchymal lesions. Over the last decade, multiple platforms including electromagnetic navigation and robotic bronchoscopy have allowed bronchoscopists to safely navigate farther into the lung parenchyma with increased stability and accuracy. Limitations persist, even with these newer technologies, in achieving a similar or higher diagnostic yield when compared to the transthoracic computed tomography (CT) guided needle approach. One of the major limitations to this effect is due to CT-to-body divergence. Real-time feedback that better defines the tool-lesion relationship is vital and can be obtained with additional imaging using radial endobronchial ultrasound, C-arm based tomosynthesis, cone-beam CT (fixed or mobile), and O-arm CT. Herein, we describe the role of this adjunct imaging with robotic bronchoscopy for diagnostic purposes, describe potential strategies to counteract the CT-to-body divergence phenomenon, and address the potential role of advanced imaging for lung tumor ablation.

Topics & Concepts

BronchoscopyMedicineMedical physicsArtificial intelligenceComputer scienceComputer visionRadiologyLung Cancer Diagnosis and TreatmentMedical Imaging and Pathology StudiesRadiomics and Machine Learning in Medical Imaging
Advanced Imaging for Robotic Bronchoscopy: A Review | Litcius