Evidence map›Paper›PMID 39272739›Full record

ArticleDiagnostics (Basel, Switzerland)2024

Improving Shape-Sensing Robotic-Assisted Bronchoscopy Outcomes with Mobile Cone-Beam Computed Tomography Guidance.

Sami I Bashour, Asad Khan, Juhee Song, Gouthami Chintalapani, Gerhard Kleinszig, Bruce F Sabath, Julie Lin, Horiana B Grosu, Carlos A Jimenez, Georgie A Eapen and 3 more

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Review
  4. Article
  5. Article
  6. RoboticERJ open research · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. VirtualJournal of thoracic disease · 2025
    Article
  15. Article
  16. Review
  17. Review
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

13 authors.

Sami I BashourDepartment of Pulmonary and Critical Care Medicine, Michael E. DeBakey VA Medical Center, Houston, TX 77030, USA.ORCID 0000-0002-9315-0432
Asad KhanDepartment of Pulmonary and Critical Care Medicine, Ochsner Health Rush, Meridian, MS 39301, USA.ORCID 0000-0002-6132-0193
Juhee SongDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0002-8688-4104
Gouthami ChintalapaniSiemens Medical Solutions USA Inc., Malvern 19355, PA, USA.
Gerhard KleinszigSiemens Healthcare GmbH, 91301 Forchheim, Germany.
Bruce F SabathDepartment of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Julie LinDepartment of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Horiana B GrosuDepartment of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Carlos A JimenezDepartment of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Georgie A EapenDepartment of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
David E OstDepartment of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0001-6351-5552
Mona SarkissDepartment of Anesthesia and Peri-Operative Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Roberto F CasalDepartment of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DIANE BODURKA · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

backgroundComputed tomography to body divergence (CTBD) is one of the main barriers to bronchoscopic techniques for the diagnosis of peripherally located lung nodules. Cone-beam CT (CBCT) guidance is being rapidly adopted to correct for this phenomenon and to potentially increase diagnostic outcomes. In this trial, we hypothesized that the addition of mobile CBCT (m-CBCT) could improve the rate of tool in lesion (TIL) and the diagnostic yield of shape-sensing robotic-assisted bronchoscopy (SS-RAB).

methodsThis was a prospective, single-arm study, which enrolled patients with peripheral lung nodules of 1-3 cm and compared the rate of TIL and the diagnostic yield of SS-RAB alone and combined with mCBCT.

resultsA total of 67 subjects were enrolled, the median nodule size was 1.7 cm (range, 0.9-3 cm). TIL was achieved in 23 patients (34.3%) with SS-RAB alone, and 66 patients (98.6%) with the addition of mCBCT (

conclusionsThe addition of mCBCT guidance to SS-RAB allows bronchoscopists to compensate for CTBD, leading to an increase in TIL and diagnostic yield, with acceptable radiation exposure.

Indexed as

cone-beam computed tomographylung nodulesrobotic bronchoscopy

Identifiers

PMID39272739
PMCPMC11394119

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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.