Outcome of patients with early stage oral cancer managed by an observation strategy towards the N0 neck using ultrasound guided fine needle aspiration cytology: No survival difference as compared to elective neck dissection

Oral Oncology ◽  
2013 ◽  
Vol 49 (2) ◽  
pp. 157-164 ◽  
Author(s):  
Géke B. Flach ◽  
Mark Tenhagen ◽  
Remco de Bree ◽  
Ruud H. Brakenhoff ◽  
Isaac van der Waal ◽  
...  
2017 ◽  
Vol 13 (5) ◽  
pp. 3299-3302 ◽  
Author(s):  
Lívio Portela Cardoso-Coelho ◽  
Rafael Soares Borges ◽  
Airlane Pereira Alencar ◽  
Larysse Maira Cardoso-Campos-Verdes ◽  
João Paulo da Silva-Sampaio ◽  
...  

Cancers ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1338
Author(s):  
Sae Rom Chung ◽  
Jung Hwan Baek ◽  
Young Jun Choi ◽  
Tae-Yon Sung ◽  
Dong Eun Song ◽  
...  

We aimed to evaluate appropriate strategies for interpreting fine-needle aspiration cytology (FNAC) and thyroglobulin concentrations obtained through aspiration (FNA-Tg) results based on the sonographic features of lymph nodes (LNs). Consecutive patients who underwent ultrasound-guided FNAC and FNA-Tg for metastatic LNs from differentiated thyroid carcinomas (DTCs) from January 2014 to December 2018 were reviewed retrospectively. LNs were categorized sonographically as suspicious, indeterminate, or benign. The optimal FNA-Tg cutoff for metastatic LNs was evaluated preoperatively, after lobectomy, and after total thyroidectomy. The diagnostic performances of FNA-Tg, FNAC, and their combination were analyzed based on the sonographic features of LNs. The malignancy rates of LNs were analyzed based on the sonographic features, FNAC, and FNA-Tg results. Of the 1543 LNs analyzed, 528 were benign, whereas 1015 were malignant. FNA-Tg increased the sensitivity and accuracy of FNAC for LNs. The malignancy rate of LNs found to be malignant by FNAC or elevated FNA-Tg ranged from 82% to 100%, regardless of the sonographic features. The malignancy rate of LNs with indeterminate or benign FNAC findings and low FNA-Tg were stratified according to their sonographic features. We propose a diagnostic algorithm, based on combined FNAC, FNA-Tg, and ultrasound features of LNs, for diagnosing metastatic LNs of DTCs.


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