Evidence map›Paper›PMID 35509435›Full record

ArticleMayo Clinic proceedings. Innovations, quality & outcomes2022

Combining Shape-Sensing Robotic Bronchoscopy With Mobile Three-Dimensional Imaging to Verify Tool-in-Lesion and Overcome Divergence: A Pilot Study.

Janani Reisenauer, Jennifer D Duke, Ryan Kern, Sebastian Fernandez-Bussy, Eric Edell

3 registry-linked trialsAbstract read
In one paragraph

Article in Mayo Clinic proceedings. Innovations, quality & outcomes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

NCT04740047 completednot on this map

Cios Mobile 3D Spin for Robotic Bronchoscopy

TypeobservationalSponsorMayo ClinicRan2021 to 2023Enrolled38ConditionsPulmonary Nodule, Solitary, Pulmonary Cancer, Lung Cancer, Lung Cancer, Nonsmall CellArmsIon Endoluminal System
NCT05518669 unknown statusnot on this map

Mobile Cone-Beam CT in Combination With Electromagnetic Navigation Bronchoscopy for the Diagnosis of Peripheral Pulmonary Nodules

TypeobservationalSponsorShanghai Chest HospitalRan2022 to 2024Enrolled109ConditionsPeripheral Pulmonary Nodules, Lung CancerArmsElectromagnetic Navigation Bronchoscopy (superDimension™ Navigation System) and Mobile Cone-Beam CT (Cios Spin)
NCT07411989 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Shape-sensing Versus Electromagnetic Robotic Bronchoscopy for Evaluation of PulmoNary LEsions: the SERENE Trial

TypeinterventionalSponsorThe Cleveland ClinicRan2026 to 2028Enrolled346ConditionsPeripheral Pulmonary Lesions (PPLs), Lung NodulesArmsBronchoscopy for peripheral pulmonary lesion biopsy
3 · Its place in the literature

Who cites it

49 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. RoboticERJ open research · 2026
    Article
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  10. Article
  11. Review
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  16. VirtualJournal of thoracic disease · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Janani ReisenauerDivision of Thoracic Surgery, Mayo Clinic Rochester MN.
Jennifer D DukeDivision of Pulmonary and Critical Care Medicine, Mayo Clinic Rochester MN.
Ryan KernDivision of Pulmonary and Critical Care Medicine, Mayo Clinic Rochester MN.
Sebastian Fernandez-BussyDivision of Pulmonary and Critical Care Medicine, Mayo Clinic, Jacksonville, FL.
Eric EdellDivision of Pulmonary and Critical Care Medicine, Mayo Clinic Rochester MN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To determine whether CT-to-body divergence can be overcome to improve the diagnostic yield of peripheral pulmonary nodules with the combination of shape-sensing robotic-assisted bronchoscopy (SSRAB) and portable 3-dimensional (3D) imaging. Patients and Methods: A single-center, prospective, pilot study was conducted from February 9, 2021, to August 4, 2021, to evaluate the combined use of SSRAB and portable 3D imaging to visualize tool-in-lesion as a correlate to diagnostic yield. Results: Thirty lesions were subjected to biopsy in 17 men (56.7%) and 13 women (43.3%). The median lesion size was 17.5 mm (range, 10-30 mm), with the median airway generation of 7 and the median distance from pleura of 14.9 mm. Most lesions were in the upper lobes (18, 60.0%). Tool-in-lesion was visualized at the time of the procedure in 29 lesions (96.7%). On the basis of histopathologic review, 22 (73.3%) nodules were malignant and 6 (20.0%) were benign. Two (6.7%) specimens were suggestive of inflammation, and the patients elected observation. The mean number of spins was 2.5 (±1.6) with a mean fluoroscopy time of 8.7 min and a mean dose area product of 50.3 Gy cm Conclusion: This pilot study shows that the combination of mobile 3D imaging and SSRAB of pulmonary nodules appears to be safe and feasible. In conjunction with appropriate anesthetic pathways, nodule motion and divergence can be overcome in most patients. Trial Registration: https://clinicaltrials.gov Identifier NCT04740047.

Indexed as

3D, three dimensionalCBCT, cone-beam computed tomographyCT, computed tomographyDAP, dose area productENB, electromagnetic navigationPEEP, positive end-expiratory pressurerEBUS, radial endobronchial ultrasoundSSRAB, shape-sensing robotic-assisted bronchoscopy

Identifiers

PMID35509435
PMCPMC9059066

What OpenQuestion holds

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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.