Role of Real-Time Endobronchial Ultrasound-Guided Transbronchial Needle Aspiration in the Diagnosis and Mediastinal Staging of Lung Cancer

2012 ◽  
Vol 32 (2) ◽  
pp. 407-414
Author(s):  
Füsun ALATAŞ ◽  
Emine DÜNDAR ◽  
Hüseyin YILDIRIM ◽  
Muzaffer METİNTAŞ ◽  
Güntülü AKDOĞAN AK
Cancers ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 1408 ◽  
Author(s):  
Virginia Leiro-Fernandez ◽  
Loretta De Chiara ◽  
Mar Rodríguez-Girondo ◽  
Maribel Botana-Rial ◽  
Diana Valverde ◽  
...  

The evaluation of mediastinal lymph nodes is critical for the correct staging of patients with lung cancer (LC). Endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) is a minimally invasive technique for mediastinal staging, though unfortunately lymph node micrometastasis is often missed by cytological analysis. The aim of this study was to evaluate the predictive capacity of methylation biomarkers and provide a classification rule for predicting malignancy in false negative EBUS-TBNA samples. The study included 112 patients with a new or suspected diagnosis of LC that were referred to EBUS-TBNA. Methylation of p16/INK4a, MGMT, SHOX2, E-cadherin, DLEC1, and RASSF1A was quantified by nested methylation-specific qPCR in 218 EBUS-TBNA lymph node samples. Cross-validated linear regression models were evaluated to predict malignancy. According to EBUS-TBNA and final diagnosis, 90 samples were true positives for malignancy, 110 were true negatives, and 18 were false negatives. MGMT, SHOX2, and E-cadherin were the methylation markers that better predicted malignancy. The model including sex, age, short axis diameter and standard uptake value of adenopathy, and SHOX2 showed 82.7% cross-validated sensitivity and 82.4% specificity for the detection of malignant lymphadenopathies among negative cytology samples. Our results suggest that the predictive model approach proposed can complement EBUS-TBNA for mediastinal staging.


2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e20066-e20066
Author(s):  
Rong Zhang ◽  
Yuxiang Ma ◽  
Guoliang Xu ◽  
Xiaoyan Gao ◽  
Guangyu Luo ◽  
...  

e20066 Background: Invasive mediastinal lymph node staging is essential for resectable lung cancers. This retrospective study compares the diagnosis yield of endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) and cervical mediastinoscopy (CMS). Methods: Consecutive patients were analyzed from Jan 2009 to March 2016. Only pathologically confirmed results were accepted, and systematic mediastinal lymphadenectomy (SML) were used as the standard. The disease diagnosis and N stagingaccuracywere compared in this study. Results: 103 EBUS-TBNA patients and 232 CMS patients were included, 1014 mediastinal lymph nodes were biopsied in lung cancer patients. In per case analysis, there was no significant differences between EBUS-TBNA and CMS in disease diagnosis accuracy (89.4% vs. 81.2%, P = 0.097), and no significant difference in N staging accuracy (75.0% vs. 78.3%, P = 0.629). However, EBUS-TBNA had significantly higher disease diagnosis sensitivity than CMS (82.4% vs. 47.6%, P < 0.001). In lymph nodes diagnosis comparison (station #2, #4 and #7), both EBUS-TBNA and CMS showed very high accuracy, sensitivity, and specificity (94.7% vs. 99.6%, 88.6% vs. 94.8%, 97.2% vs. 100%), however CMS were slightly better. Positive lymph nodes had longer major and minor axes than negative nodes, and the positive rateswere as high as 59.2% in lymph nodes with a minor axis measuring ≥21mm. More complications and injuries were found in patients receiving CMS. Conclusions: For clinically suspected lung cancers, both EBUS-TBNA and CMS are favorable options for invasive mediastinal staging. EBUS-TBNA may be preferred for its higher disease diagnosis sensitivity and fewer complications.


CHEST Journal ◽  
2008 ◽  
Vol 134 (2) ◽  
pp. 368-374 ◽  
Author(s):  
Hee Seok Lee ◽  
Geon Kook Lee ◽  
Hyun-Sung Lee ◽  
Moon Soo Kim ◽  
Jong Mog Lee ◽  
...  

Medicine ◽  
2019 ◽  
Vol 98 (39) ◽  
pp. e17242 ◽  
Author(s):  
João Pedro Steinhauser Motta ◽  
José Roberto Lapa e Silva ◽  
Caroliny Samary Lobato ◽  
Vanessa Souza Mendonça ◽  
Ricardo E. Steffen

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