Evidence map›Paper›PMID 41454306›Full record

ReviewBMC pulmonary medicine2025

Multimodal innovations and clinical applications of Robotic-assisted bronchoscopy in pulmonary nodule diagnosis: a review of recent advances.

Xiao-Bin Zhang, D Kyle Hogarth

Abstract readReview
In one paragraph

Review in BMC pulmonary medicine, 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. 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

2 authors.

Xiao-Bin ZhangDepartment of Pulmonary and Critical Care Medicine, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian Province, China. zhangxiaobincn@xmu.edu.cn.
D Kyle HogarthSection of Pulmonary and Critical Care Medicine, Department of Medicine, University of Chicago Medicine, Chicago, IL, USA. dhogarth@uchicago.edu.

Funding

National Natural Science Foundation of China 82170103Xiamen Medical and Health Guidance Project 3502Z20214ZD1043Young people training project from Fujian Province Health Bureau 2020GGB057
6 · The paper itself

Abstract

backgroundThe increasing use of low-dose CT (LDCT) screening has significantly enhanced the detection of pulmonary nodules, particularly in early-stage lung cancer. However, diagnosing peripheral pulmonary nodules (PPNs) presents unique challenges due to their distal location, rendering traditional methods like CT-guided biopsy less effective and associated with higher complication risks. Robotic-assisted bronchoscopy (RAB) has emerged as a promising minimally invasive technology that offers improved diagnostic accuracy and safety.

methodsThis review explores recent advancements in RAB technology for PPN diagnosis, focusing on the integration of multimodal imaging innovations. These include shape-sensing technology, electromagnetic navigation bronchoscopy (ENB), radial endobronchial ultrasound (rEBUS), cone-beam CT (CBCT), and needle-based confocal laser endomicroscopy (nCLE). Additionally, advanced biopsy techniques such as transbronchial cryobiopsy (TBCB) are discussed for their contributions to improving diagnostic yield.

resultsThe integration of multimodal imaging technologies has significantly enhanced the precision of navigation and biopsy, reducing the risk of complications associated with traditional methods. Comparative studies show that RAB achieves similar or superior diagnostic outcomes compared to conventional approaches, with improved lesion targeting and tissue sampling. The use of techniques like TBCB has further improved the diagnostic yield and quality of tissue samples.

conclusionsRAB represents a safer and more accurate alternative to conventional biopsy methods for diagnosing peripheral pulmonary nodules. The combined use of advanced imaging and biopsy techniques has solidified RAB's clinical utility, making it a promising tool for current and future developments in pulmonary nodule diagnosis.

Indexed as

BronchoscopyLung NeoplasmsMultiple Pulmonary NodulesRobotic Surgical ProceduresSolitary Pulmonary NoduleCone-Beam Computed TomographyEndosonographyHumansImage-Guided BiopsyMicroscopy, ConfocalMultimodal ImagingElectromagnetic navigation bronchoscopy (ENB)Multi-modal diagnosisPeripheral pulmonary nodule biopsyRobotic-assisted bronchoscopy (RAB)Shape-sensing technology

Identifiers

PMID41454306
PMCPMC12874743

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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.