Advanced Hepatocellular Carcinoma: Perfusion Computed Tomography-Based Kinetic Parameter as a Prognostic Biomarker for Prediction of Patient Survival.
Advanced Hepatocellular Carcinoma: Perfusion Computed Tomography-Based Kinetic Parameter as a Prognostic Biomarker for Prediction of Patient Survival.
复制标题
晚期肝细胞癌:基于灌注计算机断层扫描的动力学参数作为预测患者生存的预后生物标志物。
DOI:
10.1097/rct.0000000000000288
复制
发表时间:
2015
影响因子:
1.3
通讯作者:
Yoshida,Hiroyuki
中科院分区:
文献类型:
--
作者:
Lee,SangHo;Hayano,Koichi;Zhu,AndrewX;Sahani,DushyantV;Yoshida,Hiroyuki
ObjectiveThe aim of this study was to find prognostic biomarkers in perfusion computed tomography (PCT)–based kinetic parameters for advanced hepatocellular carcinoma (HCC) treated with antiangiogenic chemotherapy.MethodsTwenty-two patients with advanced HCC underwent PCT imaging and subsequently received bevacizumab in combination with gemcitabine and oxaliplatin. Pretreatment PCT data within advanced HCC were analyzed using the Tofts-Kety, 2-compartment exchange, adiabatic approximation to the tissue homogeneity (AATH), and distributed parameter models. Blood flow, blood volume, extraction fraction (E), and other 3 parameters were calculated. Kinetic parameters in each model were evaluated with 1-year survival discrimination using Kaplan-Meier analysis and with overall survival using univariate Cox regression analysis.ResultsOnly the AATH model–derived E was statistically significantly prognostic for 1-year survival. The increased AATH model–derived E was significantly associated with longer overall survival (P= 0.005).Conclusions