Predicting malignancy in mediastinal lymph nodes by endobronchial ultrasound: a new ultrasound scoring system
G SCHMID‐BINDERT, H Jiang, G Kaehler, J Saur… - …, 2012 - Wiley Online Library
… utility of six ultrasound criteria to predict malignancy in mediastinal LN. Methods: EBUS was
performed in … The following criteria were expected to predict malignancy: short axis >1 cm, …
performed in … The following criteria were expected to predict malignancy: short axis >1 cm, …
Ultrasonographic characteristics of lymph nodes as predictors of malignancy during endobronchial ultrasound (EBUS): A systematic review
… This systematic review will aim to identify the optimal ultrasonographic features for
predicting malignancy in mediastinal LNs, and describe their potential clinical utility. …
predicting malignancy in mediastinal LNs, and describe their potential clinical utility. …
Real-time prediction of mediastinal lymph node malignancy by endobronchial ultrasound
H Shafiek, F Fiorentino, AD Peralta, E Serra… - Archivos de …, 2014 - Elsevier
… biopsy is essential for accurate staging of lung cancer. Endobronchial ultrasound (EBUS) is
a technique that combines endoscopic visualization with high frequency ultrasound imaging. …
a technique that combines endoscopic visualization with high frequency ultrasound imaging. …
Using endobronchial ultrasound features to predict lymph node metastasis in patients with lung cancer
JSW Memoli, E El-Bayoumi, NJ Pastis, NT Tanner… - Chest, 2011 - Elsevier
… therapy for non-small cell lung cancer (NSCLC). Our aim was to evaluate predictors of
mediastinal lymph node metastasis in patients undergoing endobronchial ultrasound (EBUS). …
mediastinal lymph node metastasis in patients undergoing endobronchial ultrasound (EBUS). …
Endobronchial ultrasound
F Falcone, F Fois, D Grosso - Respiration, 2003 - karger.com
… EUS alone performed with a radial scan was considered not to be able to predict
malignancy of mediastinal lymph nodes and FNA was evaluated as indispensable [62]. As for …
malignancy of mediastinal lymph nodes and FNA was evaluated as indispensable [62]. As for …
Endobronchial ultrasound for the diagnosis and staging of lung cancer
M Gomez, GA Silvestri - Proceedings of the American Thoracic …, 2009 - atsjournals.org
… and diagnostic accuracy of endobronchial ultrasound (EBUS). Today, EBUS is recognized
as … sampling of mediastinal lymph nodes for lung cancer diagnosis and staging. The types of …
as … sampling of mediastinal lymph nodes for lung cancer diagnosis and staging. The types of …
Endobronchial ultrasound
FD Sheski, PN Mathur - Chest, 2008 - Elsevier
… Ultrasound has been increasingly incorporated into diagnostic and … endobronchial ultrasound
(EBUS) in lung cancer patients to describe airway and peribronchial anatomy and tumor …
(EBUS) in lung cancer patients to describe airway and peribronchial anatomy and tumor …
[HTML][HTML] The role of endobronchial ultrasonography elastography for predicting malignancy
… that endobronchial ultrasonography elastography is useful in predicting malignancy of the
… tomography, specificity and positive predictive value for malignancy increase. Therefore, …
… tomography, specificity and positive predictive value for malignancy increase. Therefore, …
Endobronchial ultrasound and value of PET for prediction of pathological results of mediastinal hot spots in lung cancer patients
O Bauwens, M Dusart, P Pierard, J Faber, T Prigogine… - Lung cancer, 2008 - Elsevier
… In this study, the diagnostic yield of a new tool, endobronchial ultrasound (EBUS)
examination … All the patients with suspected or proven lung cancers from Hôpital Saint-Pierre/Institut …
examination … All the patients with suspected or proven lung cancers from Hôpital Saint-Pierre/Institut …
Sonographic features of endobronchial ultrasonography predict intrathoracic lymph node metastasis in lung cancer patients
L Wang, W Wu, Y Hu, J Teng, R Zhong, B Han… - The Annals of thoracic …, 2015 - Elsevier
… risk factors of the nine sonographic characteristics for predicting malignancy. The sensitivity,
specificity, positive predictive value, negative predictive value, and diagnostic accuracy rate …
specificity, positive predictive value, negative predictive value, and diagnostic accuracy rate …
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