Diagnostic Radiology, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.
Radiol Med. 2021 Jul;126(7):925-935. doi: 10.1007/s11547-021-01366-4. Epub 2021 May 5.
Hepatocellular carcinoma (HCC) is the sixth-most common cancer in the world, and hepatic dynamic CT studies are routinely performed for its evaluation. Ongoing studies are examining advanced imaging techniques that may yield better findings than are obtained with conventional hepatic dynamic CT scanning. Dual-energy CT-, perfusion CT-, and artificial intelligence-based methods can be used for the precise characterization of liver tumors, the quantification of treatment responses, and for predicting the overall survival rate of patients. In this review, the advantages and disadvantages of conventional hepatic dynamic CT imaging are reviewed and the general principles of dual-energy- and perfusion CT, and the clinical applications and limitations of these technologies are discussed with respect to HCC. Finally, we address the utility of artificial intelligence-based methods for diagnosing HCC.
肝细胞癌（HCC）是全球第六大常见癌症，常需进行肝脏动态 CT 检查以进行评估。目前正在研究高级影像学技术，这些技术可能比常规肝脏动态 CT 扫描获得更好的结果。双能 CT、灌注 CT 和基于人工智能的方法可用于精确描述肝肿瘤、量化治疗反应，并预测患者的总生存率。在本综述中，我们回顾了常规肝脏动态 CT 成像的优缺点，并讨论了双能 CT 和灌注 CT 的一般原理，以及这些技术在 HCC 方面的临床应用和局限性。最后，我们讨论了基于人工智能的方法在 HCC 诊断中的应用。
