Abstract:

Scanning of energy spectral computed tomography（CT）on thyroid can reduce image artifacts， lower noise，and enhance contrast⁃to⁃noise ratio and signal⁃to⁃noise ratio. At the same time，it can also quantitatively analyze lesion characteristics and composition through multiple parameters，resulting in a significant improvement in diagnosis of thyroid cancer on CT. Medical artificial intelligence has been developing rapidly in recent years，and it fully highlights high ⁃sensitivity detection，high ⁃dimensional information mining，and high ⁃throughput computing capabilities in the aspects of CT image texture analysis，imaging quantitative feature extraction，and deep learning. Based on spectral CT，artificial intelligence⁃assisted analysis is expected to provide richer and more accurate charac⁃ teristic information for preoperative preparation for thyroid cancer. It can not only provide more reference value for early diagnosis of thyroid tumors and assessment of lymph node metastasis，but also offer a feasible way to assist effectively in clinical diagnosis and to achieve individualized prognosis prediction. Therefore，this article summarizes the current research and application of spectral CT diagnosis technology and artificial intelligence of thyroid cancer. 

Key words:

thyroid cancer, computed tomography, spectral CT, radiomics, artificial intelligence