Preoperative Fine Needle Aspiration of Axillary Lymph Nodes: Diagnostic Accuracy, Potential Pitfalls, and Clinical Correlates

2013 ◽  
Vol 2 (1) ◽  
pp. S8
Author(s):  
Syed Gilani ◽  
Lamia Fathallah ◽  
Basim M. Al-Khafaji
Breast Care ◽  
2015 ◽  
Vol 11 (1) ◽  
pp. 34-39 ◽  
Author(s):  
María Jesús Diaz-Ruiz ◽  
Anna Arnau ◽  
Jesus Montesinos ◽  
Ana Miguel ◽  
Pere Culell ◽  
...  

Background: The axillary nodal status is essential to determine the stage of disease at diagnosis. Our aim was to prospectively assess the diagnostic accuracy of ultrasonography-guided fine-needle aspiration (US-FNA) for the detection of metastasis in axillary lymph nodes in patients with breast cancer (BC) and its impact on the therapeutic decision. Materials and Methods: Ultrasonography (US) was performed in 407 axillae of 396 patients who subsequently underwent surgery. US-FNA was conducted when lymph nodes were detected by US. Axillary dissection (AD) was performed when US-FNA was positive for metastasis. Patients with negative US-FNA and breast tumors of 30 mm in size were candidates for selective sentinel lymph node biopsy (SLNB). The anatomopathological results of AD or SLNB were used as reference tests. Results: Lymph nodes were detected by US in 207 (50.8%) axillae. Of these, US-FNA was performed on 180 (86.9%). 94 axillae (52.2%) were positive for carcinoma and 79 women received AD. US-FNA had 77.5% sensitivity, 100% specificity, 100% positive predictive value, 69.3% negative predictive value, and 85.1% diagnostic accuracy. US-FNA avoided SLNB in 18.1% of patients who underwent AD. Conclusions: Axillary US-FNA is an accurate technique in the staging of patients with BC. It allows reducing the number of SLNB and, when positive, offers a fast and useful tool.


Cancer ◽  
2002 ◽  
Vol 95 (5) ◽  
pp. 982-988 ◽  
Author(s):  
Savitri Krishnamurthy ◽  
Nour Sneige ◽  
Deepak G. Bedi ◽  
Beth S. Edieken ◽  
Bruno D. Fornage ◽  
...  

2011 ◽  
Vol 18 (1) ◽  
pp. 3-7 ◽  
Author(s):  
Jennifer L. Marti ◽  
Diego Ayo ◽  
Pascale Levine ◽  
Osvaldo Hernandez ◽  
John Rescigno ◽  
...  

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