ReviewJournal of thoracic disease2016
The role of bronchoscopy in the diagnosis of early lung cancer: a review.
Review in Journal of thoracic disease, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it, 92 citations in OpenAlex.
- The clinical usefulness of optical coherence tomography during cancer interventions.Journal of cancer research and clinical oncology · 2018Pooled it
- Prognostic Implications of Tumor Spread Through Air Spaces in Patients with Resected Lung Adenocarcinoma.Diagnostics (Basel, Switzerland) · 2026Article
- Development and validation of a nomogram integrating multi-dimensional clinical factors for predicting lung cancer-related mediastinal/hilar lymph node metastasis before endobronchial ultrasound-guided transbronchial needle aspiration.Journal of thoracic disease · 2026Article
- Incidental Findings in Clinical Practice: A Case of Hepatic Encephalopathy and Subsequent Lung Cancer Detection.Cureus · 2025Article
- The Risk Factors for Post-Bronchoscopy Respiratory Infection in Lung Cancer Patients-A Retrospective Case-Control Study from a Center in Greece.Journal of clinical medicine · 2025Article
- Clinical TNM Lung Cancer Staging: A Diagnostic Algorithm with a Pictorial Review.Diagnostics (Basel, Switzerland) · 2025Review
- Machine learning allows robust classification of lung neoplasm tissue using an electronic biopsy through minimally-invasive electrical impedance spectroscopy.Scientific reports · 2025Article
- Leveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos.Computer vision - ECCV ... : ... European Conference on Computer Vision : proceedings. European Conference on Computer Vision · 2025Article
- The Role of ctDNA in the Management of Non-Small-Cell Lung Cancer in the AI and NGS Era.International journal of molecular sciences · 2024Review
- Unlocking the Potential of Computed Tomography-Guided Tracers in Pinpointing Lung Lesions during Surgery: A Collaborative Multi-Institutional Journey.Journal of clinical medicine · 2024Article
- Artificial intelligence for automatic and objective assessment of competencies in flexible bronchoscopy.Journal of thoracic disease · 2024Article
- Electromagnetic Navigational Bronchoscopy Learning Curve Regarding Pneumothorax Rate and Diagnostic Yield.Cureus · 2024Article
- Article
- Subsecond lung cancer detection within a heterogeneous background of normal and benign tissue using single-point Raman spectroscopy.Journal of biomedical optics · 2023Article
- Evaluation and Exploration of Machine Learning and Convolutional Neural Network Classifiers in Detection of Lung Cancer from Microarray Gene-A Paradigm Shift.Bioengineering (Basel, Switzerland) · 2023Article
- A Novel Robotic Bronchoscope System for Navigation and Biopsy of Pulmonary Lesions.Cyborg and bionic systems (Washington, D.C.) · 2023Article
- Lung cancer registry and monitoring: Feasibility study and application (fars lung cancer registry project).Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2023Article
- Estimation of the median effective dose and the 95% effective dose of alfentanil required to inhibit the bronchoscopy reaction during painless bronchoscopy with i-gel supraglottic airway device: an Up-and-Down Sequential Allocation Trial.Journal of thoracic disease · 2022Article
- The value of narrow-band imaging bronchoscopy in diagnosing central lung cancer.Frontiers in oncology · 2022Article
- Fluorescent paper strip immunoassay with carbon nanodots@silica for determination of human serum amyloid A1.Mikrochimica acta · 2021Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lung cancer is the leading cause of cancer-related deaths worldwide with an overall 5-year survival rate of 17% after diagnoses. Indeed many patients tend to have a very poor prognosis, due to being diagnosed at an advanced stage. Conversely patients who are diagnosed at an early stage have a 5-year survival >70%, indicating that early detection of lung cancer is crucial to improve survival. Although flexible bronchoscopy is a relatively non-invasive procedure for patients suspected of having lung cancer, only 29% of carcinoma in situ (CIS) and 69% of microinvasive tumors were detectable using white light bronchoscopy (WLB) alone. As a result, in the past two decades, new bronchoscopic techniques have been developed to increase the yield and diagnostic accuracy, such as autofluorescence bronchoscopy (AFB), narrow band imaging (NBI) and high magnification bronchovideoscopy (HMB). However, due to the low specificity and the limitation to detect only proximal bronchial tree, new probe-based technologies have been introduced: radial endobronchial ultrasound (R-EBUS), optical coherence tomography (OCT), confocal laser endomicroscopy (CLE) and laser Raman spectroscopy (LRS). To date, although tissue biopsy remains the gold standard for diagnosing malignant/premalignant airway disease and some techniques are still investigational, bronchoscopic technologies can be considered the safest and most accurate tools to evaluate both central and distal airway mucosa.
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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.