Evidence map›Paper›PMID 42548452›Full record

ArticleCHEST pulmonary2025

The Additional Accuracy Gained by Cone Beam CT in Shape-Sensing Robotic Bronchoscopy.

Alberto E Revelo, Jing Peng, Jianing Ma, Michael Woods, Christian Ghattas, Jasleen Pannu, Jeffrey C Horowitz, Nicholas Pastis

Abstract read
In one paragraph

Article in CHEST pulmonary, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. RoboticERJ open research · 2026
    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

8 authors.

Alberto E ReveloDepartment of Pulmonary, Critical Care and Sleep Medicine, The Ohio State University Wexner Medical Center and The James Comprehensive Cancer Center, Columbus, OH.
Jing PengCenter for Biostatistics, The Ohio State University Wexner Medical Center, Columbus, OH.
Jianing MaCenter for Biostatistics, The Ohio State University Wexner Medical Center, Columbus, OH.
Michael WoodsDepartment of Pulmonary, Critical Care and Sleep Medicine, The Ohio State University Wexner Medical Center and The James Comprehensive Cancer Center, Columbus, OH.
Christian GhattasDepartment of Pulmonary, Critical Care and Sleep Medicine, The Ohio State University Wexner Medical Center and The James Comprehensive Cancer Center, Columbus, OH.
Jasleen PannuDepartment of Pulmonary, Critical Care and Sleep Medicine, The Ohio State University Wexner Medical Center and The James Comprehensive Cancer Center, Columbus, OH.
Jeffrey C HorowitzDepartment of Pulmonary, Critical Care and Sleep Medicine, The Ohio State University Wexner Medical Center and The James Comprehensive Cancer Center, Columbus, OH.
Nicholas PastisDepartment of Pulmonary, Critical Care and Sleep Medicine, The Ohio State University Wexner Medical Center and The James Comprehensive Cancer Center, Columbus, OH.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cone beam CT (CBCT) scan provides an intraprocedural 3-dimensional image of the biopsy tool in relation to the lesion, which may enhance the accuracy of robotic-assisted bronchoscopy (RAB) through real-time bronchoscopy adjustments. Our goal is to evaluate the ability to accurately position, in real time, a biopsy needle in the center of a pulmonary nodule using shape-sensing RAB alone vs shape-sensing RAB + CBCT guidance. Research Question: Does the addition of CBCT improve the accuracy of robotic bronchoscopy? Study Design and Methods: A total of 102 nodules were biopsied using shape-sensing RAB and the position of the needle in relation to the center of the nodule identified using a ceiling-mounted CBCT scanner. Repositioning of the RAB after 1 or 2 CBCT adjustments was accomplished using information gathered from the 3-dimensional images and using an updated augmented fluoroscopy target. The primary end point was needle location and distance change of the needle tip in reference to the lesion center using RAB alone vs RAB + CBCT scan. Secondary end points were improvement in radial endobronchial ultrasound image and average number of CBCT spins required to land at the center of the target. Results: Using RAB alone, the needle was placed in the center in 27 nodules (26.5%). The addition of CBCT scan to RAB greatly improved the distance of the needle toward the center of the lesion (mean ± SD, -4.08 ± 4.63 mm) in 46 nodules (61.3%) after 1 CBCT adjustment and (mean ± SD, -4.02 ± 4.21 mm) in an additional 17 nodules (58.6%) after a second CBCT adjustment ( Interpretation: The addition of CBCT scan to RAB was shown to improve the position of a biopsy tool in relation to the center of a pulmonary nodule. To our knowledge, this study is the first to quantify the accuracy achieved using both technologies, which may translate into reliability to perform diagnostic and potentially future therapeutic interventions in guided bronchoscopy.

Indexed as

cone beam CT scanguided bronchoscopylung biopsylung cancerpulmonary nodulesradial endobronchial ultrasoundrobotic-assisted bronchoscopytool-in-lesion

Identifiers

PMID42548452
PMCPMC13418395

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Registered trials

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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.