Distinct vascular patterns (ECTC or Non-ECTC) of tumors plays an important role in tumor migration, metastasis and drug resistant in hepatocellular carcinoma (HCC). However, there is no non-invasive method to predict vascular pattern in clinical. In the present study, we prospectively assess CT perfusion parameters for evaluation of the vascular pattern in HCC.
Study Type
OBSERVATIONAL
Enrollment
120
CT perfusion was performed with a 64-section multidetector CT scanner. The following CT parameters were used to acquire dynamic data: blood flow (BF), blood volume (BV), mean transit time (MTT), permeability-surface area product (PS), hepatic artery ejection fraction (HAF), hepatic artery perfusion (HAP), and hepatic portal vein perfusion (PVP). And we used these parameters to predict the vascular pattern.
Cancer Center Sun Yat-sen University
Guangzhou, Guangdong, China
RECRUITINGPredictive performance of CT perfusion
The primary outcome of our study is to evaluate the sensitivity and specifity of CT perfusion in predicting vascular pattern of HCC
Time frame: 6 months
Overall survival (OS)
OS is the length of time from the date of randomization until death from any cause
Time frame: 6 months
Disease-free survival (DFS)
Disease-free survival is calculated from the date of surgery to tumor recurrence or death from any cause (or the date of the last follow-up if the patient was alive)
Time frame: 6 months
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