The authors of this paper sought to develop and test a predictive model of changes in 2-deoxy-2-[18F]fluoro-D-glucose ([18F]FDG) standardized update values (SUV) over time in the aorta and the superior vena cava. Values were obtained at two time points in the ascending, descending, abdominal aorta, aortic arch, and superior vena cava of patients who underwent [18F]FDG PET/CT scans for clinical purposes. They then developed linear and non-linear regression models of SUV difference for a given time change in a derivation group. When applying the model in the derivation group, they reported no significant differences in measurements in any of the examined segments. There were no significant differences reproducibility. In the non-linear model, statistically significant differences in all segments except for the aortic arch. “We have developed a linear model allowing accurate and reproducible prediction of SUV changes over time in the aorta and superior vena cava,” the researchers wrote in their conclusion.
Read more in the International Journal of Cardiovascular Imaging.