SynthesisJournal of cardiothoracic surgery2023
Computed tomography-guided lung biopsy with rapid on-site evaluation for diagnosis of lung lesions: a meta-analysis.
Synthesis in Journal of cardiothoracic surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.
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Who cites it
9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.
- Diagnostic performance and safety for robotic-assisted bronchoscopy in pulmonary nodules: a systematic review and meta-analysis.International journal of surgery (London, England) · 2025Pooled it
- Diagnostic yield and safety of diagnostic techniques for pulmonary lesions: systematic review, meta-analysis and network meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2024Pooled it
- Artificial intelligence-assisted rapid on-site evaluation in liver biopsy: a diagnostic accuracy study.Frontiers in oncology · 2026Article
- Artificial intelligence for rapid on-site evaluation of lymph node fine-needle aspiration: improving diagnostic efficiency and accuracy.Frontiers in medicine · 2026Article
- Predicting Pneumothorax and Hemorrhage After CT-Guided Lung Biopsy: Role of Lesion Size, Depth and Their Interaction.Journal of clinical medicine · 2025Article
- Clinical application of rapid on-site evaluation of technology for the diagnosis of respiratory system tumors: a retrospective study.European journal of medical research · 2025Article
- Value of rapid on-site evaluation combined with interventional pulmonology techniques in the diagnosis of pulmonary cryptococcosis.The clinical respiratory journal · 2024Article
- Proton therapy (PT) combined with concurrent chemotherapy for locally advanced non-small cell lung cancer with negative driver genes.Radiation oncology (London, England) · 2023Article
- Does ROSE matter? Evaluation of final diagnostic, PD-L1 immunohistochemistry, and molecular testing yields of CT-guided lung biopsies performed before and after the onset of the COVID-19 pandemic.Journal of the American Society of CytopathologyArticle
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLung biopsy (LB) procedures performed with computed tomography (CT guidance can enable the reliable diagnosis of lung lesions. These diagnostic efforts can be further expedited through a rapid on-site evaluation (ROSE) approach, allowing for the rapid assessment of collected tissue samples to gauge the adequacy of these samples, their features, and associated cytomorphological characteristics. The present analysis was developed to examine the safety and efficacy of CT-guided LB with ROSE as a means of diagnosing lung lesions.
methodsStudies published as of July 31, 2022 in the PubMed, Embase, and Wanfang databases were identified for this meta-analysis. Diagnostic accuracy was the primary endpoint, while secondary endpoints included the operative duration, the number of punctures, and rates of lung hemorrhage, pneumothorax, and secondary LB.
resultsThis meta-analysis included 6 total studies. Relative to CT alone, CT with ROSE was associated with a significant increase in diagnostic accuracy (P < 0.00001). In contrast, there were no significant differences between these two groups with respect to the operative duration (P = 0.86), the number of punctures (P = 0.60), or the rates of pneumothorax (P = 0.82) or lung hemorrhage (P = 0.81). Pooled secondary LB rates were significantly lower for patients that underwent CT with ROSE relative to patients in the CT only group (P = 0.0008). Significant heterogeneity was detected for the operative duration (I
conclusionsThese results suggest that ROSE may contribute to significant improvements in the diagnostic accuracy of CT-guided LB without contributing to higher rates of complications.
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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.