ArticleJournal of thoracic disease2020
Using structured progress to measure competence in flexible bronchoscopy.
Article in Journal of thoracic disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07718451 (Randomized Controlled Trial of Multi-Patient CT-Derived Digital Twin Anatomical Variability Training to Shorten the Clinical Learning Curve for Bronchoscopy), which is not on this map. Cited by 9 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.
Randomized Controlled Trial of Multi-Patient CT-Derived Digital Twin Anatomical Variability Training to Shorten the Clinical Learning Curve for Bronchoscopy
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Virtual Reality versus Augmented Reality Bronchoscopy Simulation-Based Training: A Randomised Controlled Trial to Compare Navigation Performance and Cognitive Load in Novice Bronchoscopists.Respiration; international review of thoracic diseases · 2026Article
- An autonomous bronchoscopy robot controlled by artificial intelligence (BronchoBot) outperforms experienced bronchoscopists in a simulated setting.ERJ open research · 2026Article
- Article
- Artificial intelligence augmentation raises questions about the future of bronchoscopy.ERJ open research · 2025Article
- Artificial intelligence improves bronchoscopy performance: a randomised crossover trial.ERJ open research · 2025Article
- Artificial intelligence for automatic and objective assessment of competencies in flexible bronchoscopy.Journal of thoracic disease · 2024Article
- Assessment of esophagogastroduodenoscopy skills on simulators before real-life performance.Endoscopy international open · 2022Article
- Diagnosis and staging of lung cancer using transesophageal ultrasound: Training and assessment.Endoscopic ultrasoundArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFlexible bronchoscopy is a core invasive procedure in pulmonary medicine and training in the procedure is mandatory. Diagnostic completeness and procedure time have been identified as useful measures of competence. No outcome measures have been developed regarding navigational path in bronchoscopy to assess whether the bronchial segments have been identified in an arbitrary or structured order. We investigated whether a new outcome measure for structured progression could be used to assess competency in flexible bronchoscopy.
methodsThe study was designed as a prospective comparative study. Twelve novices, eleven intermediates, and ten expert bronchoscopy operators completed three full bronchoscopies in a simulated setting on a phantom. The following outcome measures were collected through a checklist evaluation by a trained rater: Diagnostic Completeness as amount of visualized bronchial segments, Structured Progress between the bronchial segments in ascending order, and average intersegmental time (AIT).
resultsThe ability to follow a structured ascending path through the bronchial tree correlated with a higher amount of identified bronchial segments (Pearson's correlation, r=0.62, P<0.001) and a lower AIT (Pearson's correlation, r=-0.52, P<0.001).
conclusionsOperators should advance through the bronchial tree in a structured ascending order to ensure systematic progress with the highest level of diagnostic yield and the lowest procedure time. Structured progression is a useful measure to evaluate competency in flexible bronchoscopy.
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Registered trials
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