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CT radiomic features for predicting resectability of oesophageal squamous cell carcinoma as given by feature analysis: a case control study.

Jing OuRui LiRui ZengChang-Qiang WuYong ChenTian-Wu ChenXiao-Ming ZhangLan WuYu JiangJian-Qiong YangJin-Ming CaoSun TangMeng-Jie TangJiani Hu
Published in: Cancer imaging : the official publication of the International Cancer Imaging Society (2019)
CT radiomic models could help predict resectability of oesophageal SCC, and multivariable logistic regression model is the most predictive model.
Keyphrases
  • squamous cell carcinoma
  • computed tomography
  • image quality
  • dual energy
  • contrast enhanced
  • machine learning
  • positron emission tomography
  • magnetic resonance imaging
  • magnetic resonance
  • data analysis