Evidence map›Paper›PMID 33547938›Full record

ArticleLung2021

Robotic-Assisted Navigation Bronchoscopy as a Paradigm Shift in Peripheral Lung Access.

Bryan S Benn, Arthur O Romero, Mendy Lum, Ganesh Krishna

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in Lung, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07057648 (Shape-sensing Robotic-assisted Bronchoscopy), which is not on this map. Cited by 62 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 3 pooled it
13.5field-weighted citation impact, top 1% 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.

NCT07057648 recruitingnot on this mapstarted 2025, after this paper: background citation

Shape-sensing Robotic-assisted Bronchoscopy (ssRAB) for Diagnosis of Peripheral Pulmonary Nodules: A Prospective Cohort Study in Korea (the ULSAN-ION Study)

Typeobservational_patient_registrySponsorUlsan University HospitalRan2025 to 2027Enrolled100ConditionsLung Nodules, Peripheral Lung Lesions, Pulmonary Nodules, Lung CancersArmsShape-sensing Robotic-assisted Bronchoscopy (ssRAB)
3 · Its place in the literature

Who cites it

62 citing papers in PubMed, 3 syntheses or guidelines pooled it, 117 citations in OpenAlex.

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  12. VirtualJournal of thoracic disease · 2025
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2 more citing papers are in PubMed but not listed here.

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

4 authors at 4 institutions in 1 country.

Bryan S BennDivision of Pulmonary and Critical Care, Department of Medicine, Medical College of Wisconsin, 8701 W Watertown Plank, Milwaukee, WI, 53226, USA. bbenn@mcw.edu.ORCID 0000-0002-1136-8287
Arthur O RomeroDivision of Pulmonary and Critical Care, Department of Medicine, University of California, San Francisco, CA, USA.
Mendy LumRespiratory Medicine, El Camino Hospital, Mountain View, CA, USA.
Ganesh KrishnaDivision of Pulmonary and Critical Care, Department of Medicine, University of California, San Francisco, CA, USA.
El Camino Hospital · USMedical College of Wisconsin · USUniversity of California, San Francisco · USUniversity of Nevada, Las Vegas · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe sensitivity of suspicious lung nodules biopsied by currently available techniques is suboptimal. Robotic-assisted navigation bronchoscopy (RANB) is a novel method for biopsying lung nodules. Our study objective was to determine the sensitivity for malignancy and overall diagnostic accuracy for RANB when combined with cone beam CT (CBCT) for secondary confirmation.

methods52 consecutive patients were prospectively enrolled. Demographic data, nodule characteristics, procedural information, and follow-up results were obtained.

resultsMean patient age was 66, with the majority Caucasian (73%) females (65%) with a similar number of never (46%) and former (46%) smokers. 15 patients had a history of cancer and 3 had a prior thoracic surgery. 59 total nodules were included as 7 patients had two nodules biopsied. Mean nodule diameter was < 2 cm in all dimension with the majority solid (41, 70%) and located in the upper lobes (left: 22, 37%; right: 17, 29%). Bronchus sign was absent (32, 54%) or present (27, 46%) in a similar number. All nodules were successfully reached with nine (15%) requiring minor directional changes after initial cone beam CT. A tissue diagnosis was obtained in 83% (49/59) of biopsied nodules, with malignancy (31, 65%) most common. Including all biopsy results and follow-up imaging, we obtained an 84% (31/37) procedural sensitivity for malignancy and an overall 86% (51/59) diagnostic yield.

conclusionRANB with CBCT increases sensitivity for malignancy and diagnostic accuracy of lung nodule biopsies. Combining these modalities has the potential to shift the diagnostic approach to pulmonary nodules.

Indexed as

BronchoscopyRobotic Surgical ProceduresAdultAgedAged, 80 and overCohort StudiesCone-Beam Computed TomographyFemaleHumansLung NeoplasmsMaleMiddle AgedSensitivity and SpecificitySolitary Pulmonary NoduleYoung AdultCone beam CTLung cancerLung noduleRobotic bronchoscopy

Identifiers

PMID33547938
OpenAlexW3128504640

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.