Evidence map›Paper›PMID 36899971›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Mobile Cone-Beam CT-Assisted Bronchoscopy for Peripheral Lung Lesions.

Moiz Salahuddin, Sami I Bashour, Asad Khan, Gouthami Chintalapani, Gerhard Kleinszig, Roberto F Casal

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In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. New developments in the imaging of lung cancer.Breathe (Sheffield, England) · 2024
    Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. SuccessfulCase reports in oncology
    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

6 authors.

Moiz SalahuddinDepartment of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Sami I BashourDepartment of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Asad KhanDepartment of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Gouthami ChintalapaniSiemens Medical Solutions USA Inc., Malvern, PA 19355, USA.
Gerhard KleinszigSiemens Healthcare GmbH, 91301 Forchheim, Germany.
Roberto F CasalDepartment of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peripheral bronchoscopy with the use of thin/ultrathin bronchoscopes and radial-probe endobronchial ultrasound (RP-EBUS) has been associated with a fair diagnostic yield. Mobile cone-beam CT (m-CBCT) could potentially improve the performance of these readily available technologies. We retrospectively reviewed the records of patients undergoing bronchoscopy for peripheral lung lesions with thin/ultrathin scope, RP-EBUS, and m-CBCT guidance. We studied the performance (diagnostic yield and sensitivity for malignancy) and safety (complications, radiation exposure) of this combined approach. A total of 51 patients were studied. The mean target size was 2.6 cm (SD, 1.3 cm) and the mean distance to the pleura was 1.5 cm (SD, 1.4 cm). The diagnostic yield was 78.4% (95 CI, 67.1-89.7%), and the sensitivity for malignancy was 77.4% (95 CI, 62.7-92.1%). The only complication was one pneumothorax. The median fluoroscopy time was 11.2 min (range, 2.9-42.1) and the median number of CT spins was 1 (range, 1-5). The mean Dose Area Product from the total exposure was 41.92 Gy·cm

Indexed as

bronchoscopycone beam CTperipheral lung tumors

Identifiers

PMID36899971
PMCPMC10000788

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Registered trials

None linked

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.