Five-minute dynamic PET/CT data of 20 HCCs were prospectively enrolled, and the kinetic parameters k1 ~ k4 and the hepatic arterial perfusion index (HPI) were estimated with a dual-input three-compartment model based on nonlinear least squares (NLLS), GSA and DCGSA.
The results showed that there were significant differences between the HCCs and background liver tissues for k1, k4 and the HPI of NLLS; k1, k3, k4 and the HPI of GSA; and k1, k2, k3, k4 and the HPI of DCGSA. DCGSA had a higher diagnostic performance for k3 than NLLS and GSA.
GSA enables accurate estimation of the kinetic parameters of dynamic PET/CT in the diagnosis of HCC, and DCGSA can enhance the diagnostic performance.
前瞻性纳入了20例HCC的五分钟动态PET/CT数据,用基于非线性最小二乘(NLLS)的双输入三室模型估计动力学参数k1~k4和肝动脉灌注指数(HPI),GSA和DCGSA。
结果表明,HCCs和背景肝组织的K1,K4和NLLS的HPI;K1,K3,K4和GSA的HPI;以及K1,k2,k3,k4和DCGSA的HPI之间存在显着差异。DCGSA对k3的诊断性能高于NLLS和GSA。
GSA能够准确估计动态PET/CT在HCC诊断中的动力学参数,和DCGSA可以提高诊断性能。