ArticleThe British journal of radiology2013
Diagnostic performance of percutaneous lung biopsy using automated biopsy needles under CT-fluoroscopic guidance for ground-glass opacity lesions.
Article in The British journal of radiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT07772479 (Comparative Study of Rotational Cryobiopsy Needle and Automated Biopsy Needle in Transthoracic Needle Biopsy for the Diagnosis of Peripheral Pulmonary Lesions), which is not on this map. Cited by 28 papers, 5 of them syntheses 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.
Comparative Study of Rotational Cryobiopsy Needle and Automated Biopsy Needle in Transthoracic Needle Biopsy for the Diagnosis of Peripheral Pulmonary Lesions
Who cites it
28 citing papers in PubMed, 5 syntheses or guidelines pooled it, 46 citations in OpenAlex.
- Robotic-assisted versus conventional CT-guided lung biopsy for pulmonary nodules: a systematic review and meta-analysis.Journal of robotic surgery · 2026Pooled it
- Diagnostic accuracy and complication rate of image-guided percutaneous transthoracic needle lung biopsy for subsolid pulmonary nodules: a systematic review and meta-analysis.The British journal of radiology · 2021Pooled it
- Non-diagnostic Results of Percutaneous Transthoracic Needle Biopsy: A Meta-analysis.Scientific reports · 2019Pooled it
- Pooled it
- Meta-analysis of CT-guided transthoracic needle biopsy for the evaluation of the ground-glass opacity pulmonary lesions.The British journal of radiology · 2014Pooled it
- CT-Guided Dual-Fluorescent Marking to Localize Small Pulmonary Nodules for Robotic Sublobar Resection: Technical Note from 84 Consecutive Cases.Cardiovascular and interventional radiology · 2026Article
- The diagnosis and management of multiple ground-glass nodules in the lung.European journal of medical research · 2024Review
- Article
- Article
- Development and validation of a nomogram based on CT texture analysis for discriminating minimally invasive adenocarcinoma from glandular precursor lesions in sub‑centimeter pulmonary ground glass nodules.Oncology letters · 2024Article
- Small (≤ 20 mm) ground-glass opacity pulmonary lesions: which factors influence the diagnostic accuracy of CT-guided percutaneous core needle biopsy?BMC pulmonary medicine · 2022Article
- Diagnostic yield of CT-guided lung biopsies: how can we limit negative sampling?The British journal of radiology · 2022Article
- Augmented reality 3D navigation system for percutaneous CT-guided pulmonary ground-glass opacity biopsies: a comparison with the standard CT-guided technique.Journal of thoracic disease · 2022Article
- Review
- Computed Tomography-guided Lung Biopsy: A Review of Techniques for Reducing the Incidence of Complications.Interventional radiology (Higashimatsuyama-shi (Japan) · 2021Review
- Diagnosis of pulmonary nodules by DNA methylation analysis in bronchoalveolar lavage fluids.Clinical epigenetics · 2021Article
- [Expert Consensus for Thermal Ablation of Pulmonary Subsolid Nodules (2021 Edition)].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2021Article
- CT Guided Needle Biopsy of Peripheral Lesions-Lesion Characteristics That May Increase the Diagnostic Yield and Reduce the Complication Rate.Journal of clinical medicine · 2021Article
- Percutaneous computed tomography guided biopsy of sub-solid pulmonary nodules: differentiating solid from ground glass components at the time of biopsy.Clinical imaging · 2021Article
- [Diagnosis and Treatment of Pulmonary Multifocal Ground-glass Nodules].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2020Review
Corrections and comments
- Erratum issued
Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe goal of our study was to evaluate the diagnostic performance of percutaneous lung biopsy under CT-fluoroscopic guidance for ground-glass opacity (GGO) lesions.
methods85 percutaneous needle lung biopsies were performed in 73 patients. Specimens were obtained by core biopsy utilising an automated cutting needle and were evaluated histologically. Final diagnosis was confirmed by independent surgical pathology, independent culture results or clinical follow-up.
resultsRates of adequate specimens obtained and of precise diagnosis by needle biopsy were 92.9% (79/85) and 90.6% (77/85) of evaluated lung lesions, respectively. Precise diagnosis was achieved in 87.1% (27/31) of lesions ≤10 mm in diameter, 90.0% (36/40) of lesions >10 mm to ≤20 mm and 100.0% (14/14) of lesions >20 mm. Precision in diagnosing GGO lesions according to the GGO component was 73.9% (17/23) for pure GGO lesions and 96.8% (60/62) for part-solid GGO lesions. Obtaining a precise diagnosis did not differ significantly according to the lesion size (p=0.3840), but differences were significant according to the GGO component (p=0.0047). Malignancy was accurately diagnosed in 35 of 36 malignant lesions for which surgery was later performed. The specific cell type determined from specimens obtained by needle biopsy was exactly the same as the final histological diagnosis obtained after surgery in 20 lesions.
conclusionTissue-core lung biopsy under CT-fluoroscopic guidance for a GGO lesion provides a high degree of diagnostic accuracy but is less reliable for determining the specific cell type. ADVANCES IN KNOWLEDGE: Percutaneous lung biopsy under CT-fluoroscopic guidance for GGO is useful in differentiating malignancy.
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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.