CT radiomic features of primary hepatocellular carcinoma(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2018年第12期
- Page:
- 1426-1429
- Research Field:
- 医学影像物理
- Publishing date:
Info
- Title:
- CT radiomic features of primary hepatocellular carcinoma
- Author(s):
- HAN Zhujun1; GONG Guanzhong2; LU Yukun2; QIU Qingtao2; YIN Yong2; QUAN Hong1
- 1. School of Physics and Technology, Wuhan University, Wuhan 430072, China; 2. Department of Radiation Oncology Physical Technology, Shandong Cancer Hospital, Ji’nan 250117, China
- Keywords:
- Keywords: radiomics; hepatocellular carcinoma; normal liver tissue; enhanced computed tomography image
- PACS:
- R318;R735.7
- DOI:
- DOI:10.3969/j.issn.1005-202X.2018.12.011
- Abstract:
- Abstract: Objective To apply radiomics for the quantitative analysis of the "fast-in, fast-out" of primary hepatocellular carcinoma (HCC) in enhanced CT scan. Methods Gross tumor volume (GTV) and partial normal liver tissues were selected as regions of interest (ROI) in different contrast-enhanced CT phases, such as plain scan phase, arterial phase and portal venous phase. After the features of target areas were extracted, the differences in radiomic features of GTV and normal liver tissue between different CT contrast-enhanced phases were quantified. Results A total of 55 radiomic features were extracted from each ROI. The number of the radiomic features with statistical significance in comparison of the normal liver tissue and GTV of plain scan phase versus arterial phase, plain scan phase versus portal venous phase, and arterial phase versus portal venous phase was 7, 8, 22, and 35, 41, 33, respectively. There were 49, 46, 38 features changed significantly between GTV and normal liver tissue in the plain scan phase, arterial phase and portal venous phase, respectively. And 6 radiomic features of GTV are related to the "fast-in, fast-out" phenomenon. Conclusion The radiomics which can be used to quantitative analyze the features of HCC and normal liver in contrast-enhanced CT phases provides an efficient method for tracking the HCC heterogeneity and the dynamic changes of the tumor.
Last Update: 2018-12-26