scholarly journals Monopolar Radiofrequency Ablation of Thyroid Nodules: A Prospective Austrian Single-Center Study

Thyroid ◽  
2018 ◽  
Vol 28 (4) ◽  
pp. 472-480 ◽  
Author(s):  
Harald Dobnig ◽  
Karin Amrein
2020 ◽  
Vol 34 (2) ◽  
pp. 401-408
Author(s):  
Khalil Raissouni ◽  
Andranik Petrosyan ◽  
Ghislain Malapert ◽  
Saed Jazayeri ◽  
Marie-Catherine Morgant ◽  
...  

2018 ◽  
Vol 62 (4) ◽  
pp. 253-258 ◽  
Author(s):  
Yoo Jin Lee ◽  
Dong Wook Kim ◽  
Soo Jin Jung ◽  
Hye Jin Baek

Objective: The factors that influence the acquisition of adequate samples during liquid-based cytology (LBC) remain unclear. This study aimed to identify factors that affect cytological adequacy in LBC after ultrasonography (US)-guided fine-needle aspiration (US-FNA) of thyroid nodules. Study Design: From January 2017 to May 2017, a single radiologist performed US-FNA to diagnose 112 thyroid nodules in 112 consecutive patients. Based on US findings after US-FNA, the size, location, position, composition, calcification, and vascularity of each nodule, as well as the US-based diagnosis, were investigated by the same radiologist. Blinded to US information, a single cytopathologist investigated cytological adequacy, cytological cellularity, and Bethesda category. Results: Of the 112 thyroid nodules, cytological adequacy was achieved in 91.1% (102/112). Thyroid nodules with sizes ≥20 mm or those that were predominantly cystic showed a higher rate of cytological inadequacy (p < 0.05). Thyroid nodule location, position, calcification status, and vascularity did not influence cytological adequacy, nor did US-based diagnosis (p > 0.05). Nodule composition or calcification significantly influenced cytological cellularity (p < 0.05), whereas nodule size, location, position, vascularity, and US-based diagnosis did not (p > 0.05). Conclusions: Most investigated factors did not influence cytological adequacy or cellularity.


2020 ◽  
Vol 9 (22) ◽  
pp. 8397-8405
Author(s):  
Yuntao Song ◽  
Guohui Xu ◽  
Tonghui Ma ◽  
Yanli Zhu ◽  
Hao Yu ◽  
...  

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