| Literature DB >> 33954894 |
Yuko Nakamura1, Toru Higaki2, Yukiko Honda2, Fuminari Tatsugami2, Chihiro Tani2, Wataru Fukumoto2, Keigo Narita2, Shota Kondo2, Motonori Akagi2, Kazuo Awai2.
Abstract
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.Entities:
Keywords: Artificial intelligence; Dual-energy CT; Hepatocellular carcinoma; Perfusion CT; Tomography, X-ray computed
Year: 2021 PMID: 33954894 DOI: 10.1007/s11547-021-01366-4
Source DB: PubMed Journal: Radiol Med ISSN: 0033-8362 Impact factor: 3.469