scholarly journals Corrigendum: El-beshbeshi et al. Prognostic Significance of Lymph Node Ratio after Cervical Lymph Node Dissection in Head and Neck Squamous Cell Carcinoma. Res Oncol. 2020; 16(1): 22-30.

2020 ◽  
Vol 0 (0) ◽  
pp. 1-1
Author(s):  
Wafaa El-beshbeshi ◽  
Amir Zaid ◽  
Osama Eldamshety ◽  
Islam Metwally ◽  
Entsar Eladl ◽  
...  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Christiaan A. Rees ◽  
Joshua H. Litchman ◽  
Xiaotian Wu ◽  
Mariah M. Servos ◽  
Darcy A. Kerr ◽  
...  

Abstract Background Indices obtained from lymph node dissection specimens, specifically lymph node yield (LNY) and lymph node ratio (LNR), have prognostic significance in the setting of head and neck squamous cell carcinoma (HNSCCa). However, there are currently no validated tools to estimate adequacy of planned lymph node dissection using preoperative data. The present study sought to evaluate CT-derived estimates of lymphatic tissue volumes as a preoperative tool to guide cervical node dissection. Methods Fifteen cervical lymph node dissections were performed in 14 subjects with HNSCCa. Preoperative CT-derived estimates of lymphatic tissue volumes were compared with gross pathology tissue volume estimates and pathologically-determined LNY. Results Resected tissue volume (calculated using the triaxial ellipsoid method) correlates with CT-derived preoperative lymphatic volume estimates (r = 0.74, p = 0.003) while LNY does not(r = − 0.12, p = 0.67). When excluding pathologically enlarged lymph nodes (“refined” data), a negative correlation was observed between refined CT-derived volume estimates and refined LNY (r = − 0.65, p = 0.009). Conclusion In the setting of cervical lymph node dissection, CT-derived lymphatic volume estimates correlate with resected tissue volume, but refined CT-derived volume estimates correlate negatively with refined LNY. Trial registration Retrospectively registered. Level of evidence 4


Head & Neck ◽  
2018 ◽  
Vol 40 (5) ◽  
pp. 1082-1090 ◽  
Author(s):  
Yoav P. Talmi ◽  
Robert P. Takes ◽  
Eran E. Alon ◽  
Iain J. Nixon ◽  
Fernando López ◽  
...  

2018 ◽  
Vol 23 (1) ◽  
pp. 35 ◽  
Author(s):  
Mohammad Shirkhoda ◽  
RezaEshraghi Samani ◽  
Maryam Hadji ◽  
Faramarz Beheshtifard ◽  
SeyedMohammad Mehdi Ghaffari Hamedani ◽  
...  

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