ReviewJournal of thoracic disease2026
Best practices in shape-sensing robotic bronchoscopy with mobile cone beam computed tomography guidance: how I do it.
Review in Journal of thoracic disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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Who cites it
2 citing papers in PubMed.
- Review
- Shape-Sensing Robotic Bronchoscopy with Integrated Mobile Cone-Beam CT Guidance for Intraoperative Localization of Lung Tumors Using Indocyanine Green.Diagnostics (Basel, Switzerland) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent studies have demonstrated that shape-sensing robotic bronchoscopy with mobile cone-beam computed tomography (CBCT) guidance results in superb diagnostic outcomes for the diagnosis of peripheral lung lesions. Given the more favorable safety profile and the ability to also stage the mediastinum with endobronchial ultrasound when indicated, the combination of these technologies is likely to replace percutaneous computed tomography (CT)-guided biopsies of peripheral lung nodules in the years to come. Hands-on training in simulators, mannequins or cadaveric models is paramount before adopting this technique, but certain procedural and pre-procedural steps can only be practiced during true cases. Just like with any other new technology, there is an expected learning curve that physicians will go through before obtaining the desired procedural outcomes. Through the current manuscript we share some guidance based on years of research and clinical experience, which we hope will shorten the learning curve for newly adopters of these technologies. We have incorporated into our practice a systematic approach that maximizes the efficiency of patient positioning, integration of mobile CBCT and shape-sensing robotic bronchoscopy, as well as prevention of atelectasis and target motion. We believe this approach is key to maximizing efficiency and procedural outcomes, and we are honored to share it with the readers.
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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.