CT,

Ziren Kong1, Jian Wang1, Song Ni1

  • 1Department of Head and Neck Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.17 Panjiayuannanli, Chaoyang District, Beijing, China.

European radiology
|November 5, 2023
PubMed
概括

这项研究引入了一种基于CT的方法,使用几何和边界形状特征来量化气管形状并检测甲状腺癌入侵. 六个选定的特征准确地识别了气管入侵,优于视觉评估.