18 F-PSMA-1007 PET/CT-derived semi-quantitative parameters for risk stratification of newly diagnosed prostate cancer.

Autor:	Dong S; Department of Nuclear Medicine, General Hospital of Ningxia Medical University, Yinchuan, China.; College of Clinical Medicine, Ningxia Medical University, Yinchuan, China., Li Y; Department of Nuclear Medicine, General Hospital of Ningxia Medical University, Yinchuan, China., Chen J; Department of Nuclear Medicine, General Hospital of Ningxia Medical University, Yinchuan, China.; College of Clinical Medicine, Ningxia Medical University, Yinchuan, China., Li Y; Department of Nuclear Medicine, General Hospital of Ningxia Medical University, Yinchuan, China.; College of Clinical Medicine, Ningxia Medical University, Yinchuan, China., Yang P; Department of Nuclear Medicine, General Hospital of Ningxia Medical University, Yinchuan, China., Li J; Department of Nuclear Medicine, General Hospital of Ningxia Medical University, Yinchuan, China.
Jazyk:	angličtina
Zdroj:	Frontiers in oncology [Front Oncol] 2022 Dec 07; Vol. 12, pp. 1025930. Date of Electronic Publication: 2022 Dec 07 (Print Publication: 2022).
DOI:	10.3389/fonc.2022.1025930
Abstrakt:	Purpose: This study aimed to assess the value of 18 F-PSMA-1007 positron emission tomography/computed tomography (PET/CT)-derived semi-quantitative parameters of primary tumor for risk stratification of newly diagnosed prostate cancer (PCa). Methods: Sixty patients referred for 18 F-PSMA-1007 PET/CT imaging for primary PCa were retrospectively analyzed and classified into the low-intermediate-risk (LIR) or high-risk (HR) group. The maximum standardized uptake value (SUVmax) of primary tumor, prostate total lesion PSMA (TL-PSMAp), and prostate PSMA-tumor volume (PSMA-TVp) were measured, and group differences were evaluated using the Mann-Whitney U test. Spearman's correlation was performed to assess the correlation between the above parameters with prostate-specific antigen (PSA) levels and Gleason score (GS). Receiver operating characteristic (ROC) curve analysis was used to determine optimal cut-off values for SUVmax, TL-PSMAp, and PSMA-TVp to identify high-risk PCa and compare diagnostic efficacy. Results: Among 60 patients, 46 were assigned to the HR group and 16 to the LIR group. In all patients, SUVmax, TL-PSMAp, and PSMA-TVp were moderately correlated with pre-treatment PSA values ( r = 0.411, p = 0.001; r = 0.663, p < 0.001; and r = 0.549, p < 0.001, respectively). SUVmax and TL-PSMAp were moderately correlated with GS ( r = 0.457 and r = 0.448, respectively; p < 0.001), while PSMA-TVp was weakly correlated with GS ( r = 0.285, p = 0.027). In the ROC curve analysis, the optimal cut-off values of SUVmax, TL-PSMAp, and PSMA-TVp for identifying high-risk PCa were 9.61, 59.62, and 10.27, respectively, and the areas under the operating curve were 0.828, 0.901, and 0.809, respectively. The sensitivities of SUVmax, TL-PSMAp, and PSMA-TVp were 91.03%, 71.74%, and 63.04%, respectively, and the specificities were 71.43%, 100.00%, and 92.86%, respectively. Conclusions: TL-PSMAp had a superior ability to identify high-risk PCa. The semi-quantitative parameters of primary tumor on 18 F-PSMA-1007 PET/CT imaging can be an objective imaging reference index to determine PCa risk stratification. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2022 Dong, Li, Chen, Li, Yang and Li.)
Databáze:	MEDLINE
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