Quantitative Analysis of Dynamic 13N-NH3 PET Images in Brain Tumors

摘要

This study aims to quantitatively analyze and compute the velocity constant of three-compartment modeling, which is based on ~(13)N-NH_3 PET images of human brain tumors. We selected the parietal lobe, cerebellum, frontal lobe, and the average of these three reference regions to analyze the transfer constant ratio, K3/K4, in three-compartment modeling. The study was based on the results of three-compartment modeling. Data sampling was performed for a left frontal lobe tumor, and simultaneously, data sampling was performed for three reference regions (including the parietal lobe, cerebellum, and right frontal lobe). The dynamic frames were 4×10 s, 7× 20 s, 4×60 s, and 1×480 s. The parietal lobe, cerebellum, frontal lobe and the average of the three reference regions, as determined by the slopes of the fitted curves, are 1.6207, 1.5931, 1.5293, and 1.5803, respectively. The F-test values are 5552.4, 2943.6, 3756.8, and 5650.2, respectively; the average F-test value is the largest. Thus, we determined the K3/K4 as 0.5803; therefore, the transfer constant K4 is 1.7216 times that of K3 for the clinical use of ~(13)N-NH_3 PET tracer for brain tumors. The ~(13)N-NH_3 PET tracer is feasible for clinical use with brain tumors. The transfer constant, K4, is approximately two times of K3 in the three-compartment modeling of the parietal lobe, cerebellum, frontal lobe and the average of the three reference regions. This method is feasible and effective.