当前位置: X-MOL 学术EJNMMI Phys. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A methodological investigation of healthy tissue, hepatocellular carcinoma, and other lesions with dynamic 68Ga-FAPI-04 PET/CT imaging
EJNMMI Physics ( IF 3.0 ) Pub Date : 2021-01-22 , DOI: 10.1186/s40658-021-00353-y
Barbara Katharina Geist , Haiqun Xing , Jingnan Wang , Ximin Shi , Haitao Zhao , Marcus Hacker , Xinting Sang , Li Huo , Xiang Li

The study aimed to establish a 68Ga-FAPI-04 kinetic model in hepatic lesions, to determine the potential role of kinetic parameters in the differentiation of hepatocellular carcinoma (HCC) from non-HCC lesions. Time activity curves (TACs) were extracted from seven HCC lesions and five non-HCC lesions obtained from 68Ga-FAPI-04 dynamic positron emission tomography (PET) scans of eight patients. Three kinetic models were applied to the TACs, using image-derived hepatic artery and/or portal vein as input functions. The maximum standardized uptake value (SUVmax) was taken for the lesions, the hepatic artery, and for the portal veins—the mean SUV for all healthy regions. The optimum model was chosen after applying the Schwartz information criteria to the TACs, differences in model parameters between HCC, non-HCC lesions, and healthy tissue were evaluated with the ANOVA test. A reversible two-tissue compartment model using both the arterial as well as venous input function was most preferred and showed significant differences in the kinetic parameters VND, VT, and BPND between HCC, non-HCC lesions, and healthy regions (p < 0.01). Several model parameters derived from a two-tissue compartment kinetic model with two image-derived input function from vein and aorta and using SUVmax allow a differentiation between HCC and non-HCC lesions, obtained from dynamically performed PET scans using FAPI.

中文翻译:

通过动态68 Ga-FAPI-04 PET / CT成像对健康组织,肝细胞癌和其他病变进行方法学研究

该研究旨在在肝病变中建立68Ga-FAPI-04动力学模型,以确定动力学参数在区分非HCC病变的肝细胞癌(HCC)中的潜在作用。从八个患者的68Ga-FAPI-04动态正电子发射断层扫描(PET)扫描中获得的七个HCC病变和五个非HCC病变中提取了时间活动曲线(TAC)。使用源自图像的肝动脉和/或门静脉作为输入函数,将三个动力学模型应用于TAC。对病变,肝动脉和门静脉取最大标准化摄取值(SUVmax),即所有健康区域的平均SUV。在将Schwartz信息标准应用于TAC,HCC,非HCC病变之间的模型参数差异,健康和健康的组织进行了ANOVA测试。最优选同时使用动脉和静脉输入功能的可逆两组织腔室模型,该模型在HCC,非HCC病变和健康区域之间的动力学参数VND,VT和BPND上显示出显着差异(p <0.01) 。源自两个组织隔室动力学模型的几个模型参数,具有来自静脉和主动脉的两个图像来源的输入函数,并使用SUVmax,可以区分HCC和非HCC病变,这是通过使用FAPI进行动态PET扫描获得的。和健康地区(p <0.01)。源自两个组织隔室动力学模型的几个模型参数,具有来自静脉和主动脉的两个图像来源的输入函数,以及使用SUVmax,可以区分HCC和非HCC病变,这是通过使用FAPI进行动态PET扫描获得的。和健康地区(p <0.01)。源自两个组织隔室动力学模型的几个模型参数,具有来自静脉和主动脉的两个图像来源的输入函数,并使用SUVmax,可以区分HCC和非HCC病变,这是通过使用FAPI进行动态PET扫描获得的。
更新日期:2021-01-24
down
wechat
bug