Objective:To assess the effectiveness of kinetic parameters of 18F-prostate specific membrane antigen (PSMA)-1007 PET/MR in distinguishing tumor recurrence (TR) from radiation necrosis (RN) in glioma patients. Methods:From January 2023 to June 2023, imaging data of 10 patients (6 males, 4 females; media age of 39.5 years) with gliomas who were suspected of recurrence and were referred for 18F-PSMA-1007 PET/MR scans at Sun Yat-Sen University Cancer Center were retrospectively analyzed. Static parameters from 18F-PSMA-1007 PET scans, including SUV max, SUV mean, metabolic tumor volume (MTV), and total lesion′s PSMA (TLP), as well as dynamic parameters including K 1, k 2, k 3, k 4, net influx rate (K i), and volume of distribution ( Vt) were obtained by using compartmental and multigraphical models. Additionally, parameters from dynamic contrast-enhanced MRI (DCE-MRI) were collected. Mann-Whitney U test was used to compare parameter differences between TR and RN groups. Spearman rank correlation analysis was used to explore the correlation between K i and DCE-MRI parameters. Results:Finally, 8 cases were diagnosed as TR and 2 cases were diagnosed as RN. The kinetic compartmental model-based evaluation determined that irreversible 2-tissue model (2T3K) provided the best-fitting results. The differences in SUV mean (median: 2.48 vs 0.89; Z=-2.09, P=0.044), SUV max (median: 4.04 vs 1.40; Z=-2.09, P=0.044), and K i (median: 1.33×10 -2vs 3.87×10 -3;Z=-2.10, P=0.044) between TR and RN groups were statistically significant. Some parameters of DCE-MRI also showed differences between the two groups ( Z=-2.09, P=0.044 for all). The K i yielded moderate correlation with DCE-MRI parameter Ve ( rs=0.650, P=0.042), while correlations between K i and other DCE-MRI parameters were not significant ( rs values: from -0.207 to 0.632, all P>0.05). Conclusion:Dynamic and multi-parametric 18F-PSMA-1007 PET/MR system holds promise for accurately distinguishing TR from RN in treated glioma patients.

Objective:To assess the effectiveness of kinetic parameters of 18F-prostate specific membrane antigen (PSMA)-1007 PET/MR in distinguishing tumor recurrence (TR) from radiation necrosis (RN) in glioma patients. Methods:From January 2023 to June 2023, imaging data of 10 patients (6 males, 4 females; media age of 39.5 years) with gliomas who were suspected of recurrence and were referred for 18F-PSMA-1007 PET/MR scans at Sun Yat-Sen University Cancer Center were retrospectively analyzed. Static parameters from 18F-PSMA-1007 PET scans, including SUV max, SUV mean, metabolic tumor volume (MTV), and total lesion′s PSMA (TLP), as well as dynamic parameters including K 1, k 2, k 3, k 4, net influx rate (K i), and volume of distribution ( Vt) were obtained by using compartmental and multigraphical models. Additionally, parameters from dynamic contrast-enhanced MRI (DCE-MRI) were collected. Mann-Whitney U test was used to compare parameter differences between TR and RN groups. Spearman rank correlation analysis was used to explore the correlation between K i and DCE-MRI parameters. Results:Finally, 8 cases were diagnosed as TR and 2 cases were diagnosed as RN. The kinetic compartmental model-based evaluation determined that irreversible 2-tissue model (2T3K) provided the best-fitting results. The differences in SUV mean (median: 2.48 vs 0.89; Z=-2.09, P=0.044), SUV max (median: 4.04 vs 1.40; Z=-2.09, P=0.044), and K i (median: 1.33×10 -2vs 3.87×10 -3;Z=-2.10, P=0.044) between TR and RN groups were statistically significant. Some parameters of DCE-MRI also showed differences between the two groups ( Z=-2.09, P=0.044 for all). The K i yielded moderate correlation with DCE-MRI parameter Ve ( rs=0.650, P=0.042), while correlations between K i and other DCE-MRI parameters were not significant ( rs values: from -0.207 to 0.632, all P>0.05). Conclusion:Dynamic and multi-parametric 18F-PSMA-1007 PET/MR system holds promise for accurately distinguishing TR from RN in treated glioma patients.

Objective To investigate correlation between the amount of interleukin-17 (IL-17) producing cells and the expression of transforming growth factor (31 (TGF-β1) in glioma,and evaluate the clinical values of IL-17 and TGF-pl in predicting the prognosis of glioma. Methods The presence of IL-17 and TGF-pl was measured by immunohistochemistry in 135 human glioma (WHO Ⅰ 18,WHO Ⅱ 45,WHO Ⅲ 53,WHO Ⅳ 19) tissues and 15 normal brain tissues. Results There was no IL-17 positive staining in normal brain tissues. Of 135 glioma specimens showed low TGF-pl expression and 77 (57. 03% ) showed high TGF-pl expression. No TGF-β1 expression was detected in normal brain tissue. Furthermore,TGF-β1 expression was positively correlated with the amount of IL-17 producing cells in glioma tissues ( r=0.285, P<0.01). Compared with the low grade,the levels of IL-17 and TGF-pl positive cells were obviously increased in high grade. The Kaplan-Meier analysis showed that there were significant differences in overall survival (OS) between the IL-17 and TGF-pl high-expression and lowexpression group (P＜0.01, P＜0.05). The 3-year OS rates of IL-17 of high expression and low expression were 33.75% and 76. 36%. Multivariate Cox proportional hazards regression analysis indicated that age,KPS score, IL-17 were independent prognostic factor for OS (P＜0.01). Conclusion Intratumoral IL-17-producing cell density and the expression of TGF-β1 was associated with the malignancy of human glioma.