ReviewDiagnostics (Basel, Switzerland)2023
Advanced Imaging for Robotic Bronchoscopy: A Review.
Review in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic performance and safety for robotic-assisted bronchoscopy in pulmonary nodules: a systematic review and meta-analysis.International journal of surgery (London, England) · 2025Pooled it
- Anaesthesia for diagnostic and therapeutic bronchoscopy.BJA education · 2026Review
- Device-procedure attribution of reported harm in robotic-assisted bronchoscopy: a MAUDE study informing safety surveillance of robotic surgical systems.Journal of robotic surgery · 2026Article
- Prone Positioning Is a Feasible Approach in the Diagnostic Work-Up of Posterior Pulmonary Nodules and a Means to Limit CT-to-Body Divergence: A Retrospective Cohort Study.Diseases (Basel, Switzerland) · 2026Article
- Shape-Sensing Robotic-Assisted Bronchoscopic Microwave Ablation for Primary and Metastatic Pulmonary Nodules: Retrospective Case Series.Diagnostics (Basel, Switzerland) · 2025Article
- Intraprocedural O-arm computed tomography-guided navigation with ventilatory strategy for atelectasis electromagnetic navigation bronchoscopic biopsy of peripheral lung lesions: an IDEAL stage 2a study.Journal of thoracic disease · 2025Article
- Robotic-assisted and electromagnetic navigation bronchoscopy for multi-focal lung cancers: a narrative review.Translational lung cancer research · 2025Review
- Two-phase radial endobronchial ultrasound bronchoscopy registration.Journal of medical imaging (Bellingham, Wash.) · 2025Article
- Cone-beam computed tomography-guided shape-sensing robotic bronchoscopyJournal of thoracic disease · 2024Article
- Robotic-assisted bronchoscopy: a narrative review of systems.Journal of thoracic disease · 2024Review
- Article
- Radiation dose of cone beam CT combined with shape sensing robotic assisted bronchoscopy for the evaluation of pulmonary lesions: an observational single center study.Journal of thoracic disease · 2023Article
- Real-World Impact of Robotic-Assisted Bronchoscopy on the Staging and Diagnosis of Lung Cancer: The Shape of Current and Potential Opportunities.Pragmatic and observational research · 2023Review
- Unlocking the potential of robotic-assisted bronchoscopy: overcoming challenging anatomy and locations.Therapeutic advances in respiratory diseaseArticle
- Procedural times with robotic-assisted bronchoscopy: a high volume single-center study.Therapeutic advances in respiratory diseaseObservational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.