Observational studyLung2021
4D Electromagnetic Navigation Bronchoscopy for the Sampling of Pulmonary Lesions: First European Real-Life Experience.
Observational study in Lung, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- [Diagnostic Value and Safety of Electromagnetic Navigation Bronchoscopy in Peripheral Pulmonary Lesions: A Meta-analysis].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2023Pooled it
- Noninferiority comparison of electromagnetic navigation-guided versus computed tomography-guided percutaneous localization of multiple small pulmonary nodules: a prospective randomized clinical trial.World journal of surgical oncology · 2024Trial
- Advanced Bronchoscopic Approaches to Peripheral Pulmonary Lesions: a Narrative Review of Current and Emerging Techniques.Pulmonary therapy · 2026Review
- Real-world comparison of shape-sensing robotic-assisted bronchoscopy and virtual bronchoscopic navigation for peripheral pulmonary lesions: a propensity score-matched study.Respiratory research · 2026Article
- Electromagnetic navigation bronchoscopy for localization of bilateral multiple pulmonary nodules: a comparative evaluation of safety and efficacy.Translational lung cancer research · 2025Article
- Inheritance and innovation of the diagnosis of peripheral pulmonary lesions.Therapeutic advances in chronic disease · 2023Review
- LUNG Year in Review: 2021.Lung · 2022Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe use of Electromagnetic navigation bronchoscopy (ENB) for the diagnosis of pulmonary peripheral lesions is still debated due to its variable diagnostic yield; a new 4D ENB system, acquiring inspiratory and expiratory computed tomography (CT) scans, overcomes respiratory motion and uses tracked sampling instruments, reaching higher diagnostic yields. We aimed at evaluating diagnostic yield and accuracy of a 4D ENB system in sampling pulmonary lesions and at describing their influencing factors.
methodsWe conducted a three-year retrospective observational study including all patients with pulmonary lesions who underwent 4D ENB with diagnostic purposes; all the factors potentially influencing diagnosis were recorded.
results103 ENB procedures were included; diagnostic yield and accuracy were, respectively, 55.3% and 66.3%. We reported a navigation success rate of 80.6% and a diagnosis with ENB was achieved in 68.3% of cases; sensitivity for malignancy was 61.8%. The majority of lesions had a bronchus sign on CT, but only the size of lesions influenced ENB diagnosis (p < 0.05). Transbronchial needle aspiration biopsy was the most used tool (93.2% of times) with the higher diagnostic rate (70.2%). We reported only one case of pneumothorax.
conclusionThe diagnostic performance of a 4D ENB system is lower than other previous navigation systems used in research settings. Several factors still influence the reachability of the lesion and therefore diagnostic yield. Patient selection, as well as the multimodality approach of the lesion, is strongly recommended to obtain higher diagnostic yield and accuracy, with a low rate of complications.
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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.