Objectives
We aimed to determine the consistency of quantitative PET measurements of metabolic tumor volume (MTV) and intra-tumoral heterogeneity index for primary untreated pancreatic adenocarcinomas, when using dual-time-point 18F-FDG PET/CT imaging.
Methods
This is an Institutional Review Board approved, retrospective study including 71 patients with pancreatic adenocarcinoma, who underwent dual-time-point 18F-FDG PET/CT imaging, at ~1h (early) and ~2h (delayed), post injection. Automated gradient-based and 50% SUVmax-threshold segmentation methods were used to assess the primary tumor MTV, and metabolic intra-tumoral heterogeneity index, calculated as the area under Cumulative SUV-volume histograms (AUC-CSH), with lower AUC-CHS indexes corresponding to higher degrees of tumor heterogeneity. We defined that more than a ±10% change in MTV or AUC-CSH, compared to baseline, as clinically significant.
Results
71 FDG-avid pancreatic tumors were identified, with an average tumor diameter of 3.4±0.9 cm (range, 1.5 to 6.4 cm). MTV values remained consistent between early and delayed imaging when using the gradient PET segmentation method (p=0.086), whereas statistically significant change was seen when using 50% SUVmax-threshold segmentation (p <0.001). A decrease in more than 10% change in MTV (% ΔMTV) was observed in 70.4% (50/71) tumors, and 7.0% (5/71) of the tumors showed an increase more than 10 % ΔMTV, when using the 50% SUVmax-threshold segmentation. AUC-CSH indexes showed statistically significant differences between early and delayed time points (p<0.001), when using the gradient segmentation. AUC-CSH index decreased ≥10% in 40.8% (29/71) of the tumors. AUC-CSH index remained stable between early and delayed when using the 50% SUVmax-threshold segmentation (p=0.148) with % of change of less than 10% for all tumors.
Conclusion
Metabolic Tumor Volume was relatively stable between early and delayed time points when PET gradient segmentation was used but changed >10% in 77.4% of the tumors at delayed time point when threshold segmentation was used. The tumor heterogeneity index (AUC-CSH) changed >10% in 40.8% of tumors at delayed imaging, when gradient segmentation was used but remained stable when threshold segmentation was used. It is important to standardize uptake time and segmentation methods to use FDG PET metabolic tumor volume and heterogeneity index as imaging biomarkers.