Re: Squamous cell carcinoma of the oral tongue in patients younger than 30 years

2011 ◽  
Vol 36 (1) ◽  
pp. 90-90
Author(s):  
N. Mani ◽  
J. Homer
2021 ◽  
Author(s):  
Rabeia Almahmoudi ◽  
Abdelhakim Salem ◽  
Elin Hadler‐Olsen ◽  
Gunbjørg Svineng ◽  
Tuula Salo ◽  
...  

PLoS ONE ◽  
2017 ◽  
Vol 12 (7) ◽  
pp. e0180620 ◽  
Author(s):  
Pei-Feng Liu ◽  
Yu-Chang Hu ◽  
Bor-Hwang Kang ◽  
Yu-Kai Tseng ◽  
Pi-Chuang Wu ◽  
...  

Cancer ◽  
2020 ◽  
Author(s):  
Benjamin R. Campbell ◽  
Zhishan Chen ◽  
Daniel L. Faden ◽  
Nishant Agrawal ◽  
Ryan J. Li ◽  
...  

2020 ◽  
Author(s):  
Na Guo ◽  
Weike Zeng ◽  
Hong Deng ◽  
Huijun Hu ◽  
Ziliang Cheng ◽  
...  

Abstract Background: To investigate whether quantitative dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) pharmacokinetic parameters can be used to predict the pathologic stages of oral tongue squamous cell carcinoma (OTSCC). Methods: For this prospective study, DCE-MRI was performed in participants with OTSCC from May 2016 to June 2017. The pharmacokinetic parameters, including K trans , K ep , V e , and V p , were derived from DCE-MRI by utilizing a two-compartment extended Tofts model and a three-dimensional volume of interest. The postoperative pathologic stage was determined in each patient based on the 8th AJCC cancer staging manual. The quantitative DCE-MRI parameters were compared between stage I-II and stage III-IV lesions. Logistic regression analysis was used to determine independent predictors of tumor stages, followed by receiver operating characteristic (ROC) analysis to evaluate the predictive performance. Results: The mean K trans , K ep and V p values were significantly lower in stage III-IV lesions compared with stage I-II lesions ( p = 0.013, 0.005 and 0.011, respectively). K ep was an independent predictor for the advanced stages as determined by univariate and multivariate logistic analysis. ROC analysis showed that K ep had the highest predictive capability, with a sensitivity of 64.3%, a specificity of 82.6%, a positive predictive value of 81.8%, a negative predictive value of 65.5%, and an accuracy of 72.5%. Conclusion: The quantitative DCE-MRI parameter K ep can be used as a biomarker for predicting pathologic stages of OTSCC.


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