Kinetic parameters of 18F-PSMA-1007 PET/MR in differentiating recurrent glioma from radiation necrosis
10.3760/cma.j.cn321828-20241024-00364
- VernacularTitle:18F-PSMA-1007 PET/MR动力学参数鉴别胶质瘤复发和放射性坏死
- Author:
Lin GUO
1
;
Zixiang CHEN
;
Min XIONG
;
Zhenghe CHEN
;
Zhanli HU
;
Yonggao MOU
;
Xiaoping LIN
Author Information
1. 中山大学肿瘤防治中心核医学科，广州 510060
- Publication Type:Journal Article
- Keywords:
Glioma;
Neoplasm recurrence, local;
Radiation injuries;
Prostate-specific membrane antigen;
Fluorine radioisotopes;
Positron-emission tomography;
Magnetic r
- From:
Chinese Journal of Nuclear Medicine and Molecular Imaging
2025;45(10):606-611
- CountryChina
- Language:Chinese
-
Abstract:
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.
