Prognostic significance of TLG on18F-FDG PET/CT imaging in patients with locally advanced pancreatic cancer undergoing radiation therapy
10.3969/J.ISSN.1672-8270.2016.06.018
- VernacularTitle:18F-FDG PET/CT中病灶糖酵解总量判断局部晚期胰腺癌放射治疗的预后价值
- Author:
Hui ZHANG
;
Tingyi XIA
- Publication Type:Journal Article
- Keywords:
Locally advanced pancreatic cancer;
Total lesion glycolysis;
Tomotherapy;
Prognosis;
PET/CT
- From:
China Medical Equipment
2016;13(6):56-59
- CountryChina
- Language:Chinese
-
Abstract:
Objective:Total lesion glycolysis (TLG) on PET scans were calculated using custom-designed software, then we analyzed the prognostic utility of PET for patients with locally advanced pancreatic cancer (LAPC) undergoing radiation therapy.Methods: 33 patients with newly diagnosed LAPC who underwent 18F- FDG PET/CT scan for staging before radiation therapy were retrospectively included in this study. Patients were divided into two different groups by the median value of TLG. TLG lower than 55.3 was A group and TLG higher or equal to 55.3 was B group. TLG of tumor tissue were calculated from PET/CT images with the SUV cut-off value of 2.5. We analyzed the relationship between TLG and other clinical factors and prognosis in patients with pancreatic cancer by Kaplan-Meier method and log-rank test.Results: By Log-rank univariate analysis showed that the differences in group A and group B related significantly (r=7.765,P=0.005). And their middle survival time was 15.5 months and 8 months respectively. GTV dose of the patients in two groups and CA19-9 before treatment were also statistically different (x2=7.162, x2=10.476;P=0.05). Multivariate analysis showed that the TLG (P=0.009) were independent risk factors that prevented the long-term survival of the prognosis of patients in this group.Conclusion: The value of CA19-9 and GTV dose before treatment were the risk factors of radiotherapy for patients with locally advanced pancreatic cancer. The parameters of TLG were independent prognostic factors. TLG have a certain clinical value in predicting the prognosis of patients with pancreatic cancer, and can guide clinical diagnosis and treatment planning, and extend the lifespan of patients with pancreatic cancer.
