ArticleThoracic cancer2019
The combination of endobronchial elastography and sonographic findings during endobronchial ultrasound-guided transbronchial needle aspiration for predicting nodal metastasis.
Article in Thoracic cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 31 citations in OpenAlex.
- 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
- Deep learning for detection and diagnosis of intrathoracic lymphadenopathy from endobronchial ultrasound multimodal videos: A multi-center study.Cell reports. Medicine · 2025Article
- Mediastinal staging lymph node probability map in non-small cell lung cancer.Respiratory research · 2025Article
- Clinical utility of artificial intelligence-augmented endobronchial ultrasound elastography in lymph node staging for lung cancer.JTCVS techniques · 2024Article
- Article
- Associations of Real-Time Ultrasound and Strain and Shear Wave Elastography with Gastrointestinal Organs: A Systematic Review.Diagnostics (Basel, Switzerland) · 2023Review
- Clinical Applications of Endobronchial Ultrasound (EBUS) Scope: Challenges and Opportunities.Diagnostics (Basel, Switzerland) · 2023Review
- Diagnostic value of endobronchial ultrasound elastography in differentiating between benign and malignant hilar and mediastinal lymph nodes: a retrospective study.Quantitative imaging in medicine and surgery · 2023Article
- Quantitative analysis of endobronchial elastography combined with serum tumour markers of lung cancer in the diagnosis of benign and malignant mediastinal and hilar lymph nodes.Pathology oncology research : POR · 2023Article
- Predicting Malignant Lymph Nodes Using a Novel Scoring System Based on Multi-Endobronchial Ultrasound Features.Cancers · 2022Article
- Prediction of Nodal Metastasis in Lung Cancer Using Deep Learning of Endobronchial Ultrasound Images.Cancers · 2022Article
- Diagnostic value of endobronchial ultrasound elastography combined with rapid onsite cytological evaluation in endobronchial ultrasound-guided transbronchial needle aspiration.BMC pulmonary medicine · 2021Article
- Linear Endobronchial Ultrasound in the Era of Personalized Lung Cancer Diagnostics-A Technical Review.Journal of clinical medicine · 2021Review
- A narrative review of the role of endoscopic ultrasound (EUS) in lung cancer staging.Mediastinum (Hong Kong, China) · 2021Review
- Automatic Image Selection Model Based on Machine Learning for Endobronchial Ultrasound Strain Elastography Videos.Frontiers in oncology · 2021Article
- Quantitative analysis of endobronchial ultrasound elastography in computed tomography-negative mediastinal and hilar lymph nodes.Thoracic cancer · 2020Article
- Deep learning with convex probe endobronchial ultrasound multimodal imaging: A validated tool for automated intrathoracic lymph nodes diagnosis.Endoscopic ultrasoundArticle
- Diagnostic value of endobronchial ultrasound image features: A specialized review.Endoscopic ultrasoundReview
- Guidelines for endobronchial ultrasound-transbronchial needle aspiration (EBUS-TBNA): Joint Indian Chest Society (ICS)/Indian Association for Bronchology (IAB) recommendations.Lung India : official organ of Indian Chest SocietyArticle
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDuring endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA), the sonographic findings of B-mode imaging, as well as endobronchial elastography, can be obtained noninvasively and used for the prediction of nodal metastasis.
methodsPatients with lung cancer or suspected lung cancer who underwent EBUS-TBNA were recorded prospectively and reviewed retrospectively. Both the B-mode sonographic and elastographic findings were independently evaluated for each lymph node. The sonographic features were classified according to previously published criteria. If oval shape, indistinct margins, homogenous echogenicity, and the absence of coagulation necrosis sign were all observed by B-mode imaging, then the lymph node was judged to be benign by sonographic imaging. In addition, if the stiffer area comprised more than 31% of the entire lymph node area, then the lymph node was judged to be malignant by elastography. We compared the results of these imaging-based predictions with the pathological diagnoses.
resultsThe prevalence of nodal metastasis was 78/228 (34.2%). B-mode sonography predicted 95.8% of benign lymph nodes, and elastography predicted 72.1% of malignant lymph nodes. By combining the two modalities, 59 of 71 (83.1%) lymph nodes judged as malignant by both analyses were pathologically proven to be malignant, and 101 of 105 (96.2%) lymph nodes judged as benign by both analyses were pathologically proven to be benign.
conclusionThe combination of elastography and sonographic findings showed good sensitivity and a high negative predictive value, which may facilitate selecting the most suspicious lymph nodes for biopsy. KEY POINTS: Significant findings of the study. The combination of endobronchial elastography and sonography resulted in a higher diagnostic yield than either modality alone for predicting benign and malignant lymph nodes in patients with lung cancer. WHAT THIS STUDY ADDS: The combination of endobronchial elastography and sonography will help clinicians identify the most suspicious lymph nodes for puncturing during EBUS-TBNA, which may improve the efficiency of EBUS-TBNA.
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