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Multimodal innovations and clinical applications of Robotic-assisted bronchoscopy in pulmonary nodule diagnosis: a review of recent advances
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Multimodal innovations and clinical applications of Robotic-assisted bronchoscopy in pulmonary nodule diagnosis: a review of recent advances
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Journal Article
Multimodal innovations and clinical applications of Robotic-assisted bronchoscopy in pulmonary nodule diagnosis: a review of recent advances
2025
Overview
Background
The increasing use of low-dose CT (LDCT) screening has significantly enhanced the detection of pulmonary nodules, particularly in early-stage lung cancer. However, diagnosing peripheral pulmonary nodules (PPNs) presents unique challenges due to their distal location, rendering traditional methods like CT-guided biopsy less effective and associated with higher complication risks. Robotic-assisted bronchoscopy (RAB) has emerged as a promising minimally invasive technology that offers improved diagnostic accuracy and safety.
Methods
This review explores recent advancements in RAB technology for PPN diagnosis, focusing on the integration of multimodal imaging innovations. These include shape-sensing technology, electromagnetic navigation bronchoscopy (ENB), radial endobronchial ultrasound (rEBUS), cone-beam CT (CBCT), and needle-based confocal laser endomicroscopy (nCLE). Additionally, advanced biopsy techniques such as transbronchial cryobiopsy (TBCB) are discussed for their contributions to improving diagnostic yield.
Results
The integration of multimodal imaging technologies has significantly enhanced the precision of navigation and biopsy, reducing the risk of complications associated with traditional methods. Comparative studies show that RAB achieves similar or superior diagnostic outcomes compared to conventional approaches, with improved lesion targeting and tissue sampling. The use of techniques like TBCB has further improved the diagnostic yield and quality of tissue samples.
Conclusions
RAB represents a safer and more accurate alternative to conventional biopsy methods for diagnosing peripheral pulmonary nodules. The combined use of advanced imaging and biopsy techniques has solidified RAB’s clinical utility, making it a promising tool for current and future developments in pulmonary nodule diagnosis.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
Subject
/ Artificial intelligence and machine learning: applications in pulmonary medicine
/ Biopsy
/ Cone-Beam Computed Tomography
/ Electromagnetic navigation bronchoscopy (ENB)
/ Humans
/ Image-Guided Biopsy - methods
/ Lesions
/ Lung Neoplasms - diagnostic imaging
/ Medicine
/ Methods
/ Multimodal Imaging - methods
/ Multiple Pulmonary Nodules - diagnosis
/ Multiple Pulmonary Nodules - diagnostic imaging
/ Multiple Pulmonary Nodules - pathology
/ Peripheral pulmonary nodule biopsy
/ Pneumology/Respiratory System
/ Review
/ Robotic Surgical Procedures - methods
/ Robotic-assisted bronchoscopy (RAB)
/ Robotics
/ Solitary Pulmonary Nodule - diagnosis
/ Solitary Pulmonary Nodule - diagnostic imaging
/ Solitary Pulmonary Nodule - pathology
/ Success
