ReviewCancers2024
Robotic Bronchoscopy in Lung Cancer Diagnosis.
Review in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 4 papers.
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.
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.
Feasibility and Safety of Remote Robotic Bronchoscopy System in Diagnosis of Peripheral Pulmonary Lesions: a Multicenter, Randomized Controlled, Proof-of Concept Trial
Comparative Performance of Robotic, Electromagnetic Navigation and Fluoroscopy Drives Optimal Diagnostic Strategy for Peripheral Pulmonary Lesions: a Prospective, Multi-center, Parallel-Controlled Trial
Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- Robotic-assisted bronchoscopy in dye localization in thoracoscopic pulmonary nodule resection: An initial experience.JTCVS techniques · 2026Article
- Double-Lumen Intubation Facilitating a Single-Anesthesia Workflow in Robot-Assisted Navigational Bronchoscopy and Subsequent Lung Resection: A Single-Center, Retrospective Study.Journal of clinical medicine · 2026Article
- Editorial for Special Issue "Recent Advances in Trachea, Bronchus and Lung Cancer Management".Cancers · 2025Article
- Chinese expert consensus on shape-sensing robotic-assisted bronchoscopy (ssRAB) in the management of peripheral pulmonary lesions.Translational lung cancer research · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe widespread use of chest CT has increased the number of detected pulmonary nodules. Nodules with intermediate risk of malignancy warrant further evaluation with PET-CT or sampling. Although sampling with conventional bronchoscopy presents lower complication rates compared to transthoracic needle biopsy (TTNB), it is limited by the inability to reach distal airways. To overcome this shortcoming, a new bronchoscopic technique named robotic bronchoscopy (RB) has emerged.
methodsA literature review was used to clarify the rationale behind RB emergence, describe RB procedure, and summarize data regarding its efficacy and safety.
resultsThe FDA has approved three RB platforms for clinical use. RB is safe, presenting a mortality and complication rate of 0% and 0-8.1%, respectively. Common complications include pneumothorax (0-5.7%) and minor bleeding (0-3.2%). However, its diagnostic yield remains lower than that of TTNB.
conclusionsRB is a promising bronchoscopic technique that aims to overcome the limitations of conventional bronchoscopy and improve upon the current techniques of guided bronchoscopy for the investigation of pulmonary nodules. Despite the lower complication rate, current evidence suggests a lower diagnostic yield compared to TTNB. Additional studies are required to adequately evaluate the role of RB in the diagnosis of pulmonary nodules.
Indexed as
Identifiers
What OpenQuestion holds
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.