Comparison of parametric imaging and SUV imaging with [68 Ga]Ga-PSMA-11 using dynamic total-body PET/CT in prostate cancer

被引:12
|
作者
Chen, Ruohua [1 ,2 ,3 ]
Ng, Yee Ling [4 ]
Yang, Xinlan [4 ]
Zhu, Yinjie [5 ]
Li, Lianghua [1 ,2 ,3 ]
Zhao, Haitao [1 ,2 ,3 ]
Zhou, Yun [4 ]
Huang, Gang [1 ,2 ,3 ]
Liu, Jianjun [1 ,2 ,3 ]
机构
[1] Shanghai Jiao Tong Univ, Ren Ji Hosp, Sch Med, Dept Nucl Med, 160 Pujian Rd, Shanghai 200127, Peoples R China
[2] Shanghai Jiao Tong Univ, Inst Clin Nucl Med, Sch Med, 160 Pujian Rd, Shanghai 200127, Peoples R China
[3] Shanghai Univ Med & Hlth Sci, Shanghai Key Lab Mol Imaging, Shanghai 201318, Peoples R China
[4] United Imaging Healthcare Grp Co Ltd, Cent Res Inst, Shanghai, Peoples R China
[5] Shanghai Jiao Tong Univ, Ren Ji Hosp, Sch Med, Dept Urol, 160 Pujian Rd, Shanghai 200127, Peoples R China
关键词
Prostate cancer; PSMA; Total-body dynamic PET; Parametric imaging; Kinetic modeling; BRAIN TRANSFER CONSTANTS; GRAPHICAL EVALUATION; BLOOD;
D O I
10.1007/s00259-023-06456-1
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose Standardized uptake value (SUV) has been prevalently used to measure [(68) Ga]Ga-PSMA-11 activity in prostate cancer, but it is susceptible to multiple factors. Parametric imaging allows for absolute quantification of tracer uptake and provides a better diagnostic accuracy that is crucial for lesion detection. However, the clinical significance of total-body parametric imaging of [(68) Ga]Ga-PSMA-11 remains to be fully assessed. Therefore, the aim of our study is to delve into the diagnostic implications of total-body parametric imaging of [(68) Ga]Ga-PSMA-11 PET/CT for patients with prostate cancer.Methods Twenty prostate cancer patients were included and underwent a dynamic total-body [(68) Ga]Ga-PSMA-11 PET/CT scan. An irreversible two-tissue compartment model (2T3k) was fitted for each tissue time-to-activity curve, and the net influx rate (K-i) was obtained. The image quality and semi-quantitative analysis of lesion-to-background ratio (LBR), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were compared between parametric images and SUV images.Results Kinetic modeling using 2T3k demonstrated favorable model fitting in both normal organs and lesions. All of the lesions detected on SUV images (55-60 min) could be detected on K-i images. The correlation between K-i, SUVmean, and SUVmax in both normal organs and pathological lesions was found to be positive and statistically significant. Conversely, a moderate positive correlations were found between K-i and K-1 (R = 0.69, P < 0.001; R = 0.61, P < 0.001) and K-i and k(3) (R = 0.69, P < 0.001; R = 0.62, P < 0.001), in normal organs and pathological lesions, respectively. Visual assessment in K-i images showed less image noise and higher lesions conspicuity compared to SUV images. K-i image-derived LBR, SNR, and CBR of pathological lesions including primary tumors (PTs), lymph node metastases (LNMs) and bone metastases (BMs), exhibited remarkably higher folds (1.4-3.6 folds) compared to those derived from SUV of corresponding lesions.Conclusions Total-body parametric imaging of [(68) Ga]Ga-PSMA-11 enhanced lesion contrast and improved lesion detectability compared to SUV images. This may potentially serve as an imaging biomarker and theranostic tool for precise diagnosis and treatment evaluation in prostate cancer patients.
引用
收藏
页码:568 / 580
页数:13
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