ArticleQuantitative imaging in medicine and surgery2023
Diagnostic value of endobronchial ultrasound elastography in differentiating between benign and malignant hilar and mediastinal lymph nodes: a retrospective study.
Article in Quantitative imaging in medicine and surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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10 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- Artificial intelligence-assisted endobronchial ultrasound for differentiating between benign and malignant thoracic lymph nodes: a meta-analysis.BMC pulmonary medicine · 2025Pooled it
- Recent Updates on Endobronchial Ultrasound-Guided Transbronchial Needle Aspiration and Its Clinical Implications.Tuberculosis and respiratory diseases · 2026Review
- Evaluation of diagnostic accuracy and molecular adequacy between conventional endobronchial ultrasound, contrast-enhanced endobronchial ultrasound and elastography for hilar and mediastinal lymphadenopathies: a retrospective observational study.Journal of thoracic disease · 2026Article
- Surgical nodal sampling established by Commission on Cancer Standard 5.8 is essential for accurate lung cancer staging.JTCVS open · 2026Article
- The application of grayscale quantitative analysis in the differential diagnosis of necrosis between cervical lymph node metastases in nasopharyngeal carcinoma and tuberculous lymphadenitis.Frontiers in oncology · 2026Article
- Integrative use of conventional mode and elastography in endobronchial ultrasound for the diagnosis of malignant intrathoracic lymphadenopathy.Journal of thoracic disease · 2025Article
- Diagnostic utility of endobronchial ultrasound elastography for detecting benign and malignant lymph nodes: a retrospective study.Journal of thoracic disease · 2025Article
- Minimally Invasive Sampling of Mediastinal Lesions.Life (Basel, Switzerland) · 2024Review
- Clinical utility of artificial intelligence-augmented endobronchial ultrasound elastography in lymph node staging for lung cancer.JTCVS techniques · 2024Article
- The evolution of endobronchial ultrasound usage in modern era.Tuberkuloz ve toraks · 2023Review
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Authors and funding
6 authors at 4 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Background: Endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) is a first-line approach for diagnosing hilar and mediastinal lymph node metastasis. Endobronchial ultrasound (EBUS) elastography is an imaging technique for describing the elasticity of intrathoracic lesions. However, the reported accuracy of EBUS elastography needs to be improved. In this study, we aimed to explore the diagnostic value of EBUS elastography for differentiating between benign and malignant hilar and mediastinal lymph nodes. Methods: We conducted a single-center, retrospective study enrolling consecutive patients who received EBUS elastography followed by EBUS-TBNA at the Chinese PLA General Hospital from October 2015 to October 2022. The pathological results of EBUS-TBNA confirmed by 6-month follow-up were used as the gold standard. The ultrasound elastography parameters of lymph nodes included strain rate, stiff area ratio, and elasticity score, along with the conventional ultrasound characteristics such as short axis diameter, shape, margin, echogenicity distribution and intensity, and blood flow. The diagnostic performance of these parameters was compared, and conjointly analyzed using multivariate logistic regression. Bootstrapping resampling was applied for internal validation of the regression model. Results: A total of 83 patients were enrolled with an average age of 57 years, and 66.3% of patients were male. In total, 131 lymph nodes were punctured, among which 79 (60.3%) were malignant. All the conventional ultrasound characteristics were significantly different between benign and malignant lymph nodes. All the ultrasound elastography parameters of malignant lymph nodes were markedly higher than those of benign lymph nodes. Multivariate logistic regression analysis showed that the margin, echogenicity intensity, blood flow, short axis diameter, and stiff area ratio were the main factors affecting the lymph node property. The diagnostic accuracy, sensitivity, and specificity were 91.8% [95% confidence interval (CI): 85.4-96.0%], 94.4% (95% CI: 86.4-98.5%), and 88.0% (95% CI: 75.7-95.5%), respectively. Bootstrap resampling validation showed a concordance index (C-index) of 0.949. The calibration plot indicated good agreement between the predicted and observed results. Conclusions: EBUS elastography is a promising approach for differentiating between benign and malignant lymph nodes. The combination of conventional EBUS and elastography can improve diagnostic efficacy, provide reliable complementary information, and guide the implementation of EBUS-TBNA more accurately.
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