Advanced CT techniques for assessing hepatocellular carcinoma

被引:59
|
作者
Nakamura, Yuko [1 ]
Higaki, Toru [1 ]
Honda, Yukiko [1 ]
Tatsugami, Fuminari [1 ]
Tani, Chihiro [1 ]
Fukumoto, Wataru [1 ]
Narita, Keigo [1 ]
Kondo, Shota [1 ]
Akagi, Motonori [1 ]
Awai, Kazuo [1 ]
机构
[1] Hiroshima Univ, Diagnost Radiol, Minami Ku, 1-2-3 Kasumi, Hiroshima 7348551, Japan
来源
RADIOLOGIA MEDICA | 2021年 / 126卷 / 07期
关键词
Hepatocellular carcinoma; Tomography; X-ray computed; Dual-energy CT; Perfusion CT; Artificial intelligence; DEEP LEARNING RECONSTRUCTION; DUAL-ENERGY CT; TO-NOISE RATIO; COMPUTED-TOMOGRAPHY; LESION DETECTION; IMAGE QUALITY; ITERATIVE RECONSTRUCTION; RADIOFREQUENCY ABLATION; DIAGNOSTIC PERFORMANCE; INITIAL-EXPERIENCE;
D O I
10.1007/s11547-021-01366-4
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
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.
引用
收藏
页码:925 / 935
页数:11
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