Evidence map›Paper›PMID 32412920›Full record

ArticleJournal of bronchology & interventional pulmonology2021

Electromagnetic Navigation Bronchoscopy With Tomosynthesis-based Visualization and Positional Correction: Three-dimensional Accuracy as Confirmed by Cone-Beam Computed Tomography.

Michael A Pritchett, Krish Bhadra, Jennifer S Mattingley

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Journal of bronchology & interventional pulmonology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07411989 (Shape-sensing Versus Electromagnetic Robotic Bronchoscopy for Evaluation of PulmoNary LEsions), which is not on this map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 6% of its field
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.

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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. [Advances in the Treatment of Multiple Primary Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2025
    Review
  9. Evolution of tomosynthesis.Journal of medical imaging (Bellingham, Wash.) · 2025
    Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Advanced Imaging for Robotic Bronchoscopy: A Review.Diagnostics (Basel, Switzerland) · 2023
    Review
  17. Robotic Bronchoscopy: Review of Three Systems.Life (Basel, Switzerland) · 2023
    Review
  18. Review
  19. Article
  20. Article
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

3 authors at 3 institutions in 1 country.

Michael A PritchettFirstHealth of the Carolinas and Pinehurst Medical Clinic, Pinehurst, NC.
Krish BhadraCHI Memorial Rees Skillern Cancer Institute, Chattanooga, TN.
Jennifer S MattingleyMedtronic, Minneapolis, MN.
FirstHealth of the Carolinas · USMedtronic (United States) · USPrevention Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElectromagnetic navigation bronchoscopy (ENB) aids in lung lesion biopsy. However, anatomic divergence between the preprocedural computed tomography (CT) and the actual bronchial anatomy during the procedure can limit localization accuracy. An advanced ENB system has been designed to mitigate CT-to-body divergence using a tomosynthesis-based software algorithm that enhances nodule visibility and allows for intraprocedural local registration. MATERIALS AND

methodsA prospective, 2-center study was conducted in subjects with single peripheral lung lesions ≥10 mm to assess localization accuracy of the superDimension navigation system with fluoroscopic navigation technology. Three-dimensional accuracy was confirmed by cone-beam computed tomography. Complications were assessed through 7 days.

resultsFifty subjects were enrolled (25 per site). Lesions were <20 mm in 61.2% (30/49). A bronchus sign was present in 53.1% (26/49). Local registration was completed in 95.9% (47/49). Three-dimensional target overlap (primary endpoint) was achieved in 59.6% (28/47) and 83.0% (39/47) before and after location correction, respectively. Excluding subjects with unevaluable video files, target overlap was achieved 68.3% (28/41) and 95.1% (39/41), respectively. Malignant results were obtained in 53.1% (26/49) by rapid on-site evaluation and 61.2% (30/49) by final pathology of the ENB-aided sample. Diagnostic yield was not evaluated. Procedure-related complications were pneumothorax in 1 subject (no chest tube required) and scant hemoptysis in 3 subjects (no interventions required).

conclusionENB with tomosynthesis-based fluoroscopic navigation improved the 3-dimensional convergence between the virtual target and actual lung lesion as confirmed by cone-beam computed tomography. Future studies are necessary to understand the impact of this technology on diagnostic yield.

Indexed as

BronchoscopyLung NeoplasmsCone-Beam Computed TomographyElectromagnetic PhenomenaFemaleHumansMaleProspective Studies

Identifiers

PMID32412920
PMCPMC7742212
OpenAlexW3024699736

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.