Skip to main content
Top
Published in: EJNMMI Research 1/2020

Open Access 01-12-2020 | Prostate Cancer | Original research

The value of 18F-PSMA-1007 PET/CT in identifying non-metastatic high-risk prostate cancer

Authors: Jun-jie Hong, Bo-le Liu, Zhi-qiang Wang, Kun Tang, Xiao-wei Ji, Wei-wei Yin, Jie Lin, Xiang-wu Zheng

Published in: EJNMMI Research | Issue 1/2020

Login to get access

Abstract

Background

Clinical management decisions on prostate cancer (PCa) are often based on a determination of risk. 68Ga-prostate-specific membrane antigen (PSMA)-11-positron emission tomography (PET)/computer tomography (CT) is an attractive modality to assess biochemical recurrence of PCa, detect metastatic disease and stage of primary PCa, making it a promising strategy for risk stratification. However, due to some limitation of 68Ga-PSMA-11 the development of alternative tracers is of high interest. In this study, we aimed to investigate the value of 18F-PSMA-1007 in identifying non-metastatic high-risk PCa.

Methods

A total of 101 patients with primary non-metastatic PCa who underwent 18F-PSMA-1007 PET/CT were retrospectively analyzed. According to the European Association of Urology guidelines on PCa, patients were classified into intermediate-risk (IR) group or high-risk (HR) group. The maximum standardized uptake values (SUVmax) of the primary prostate tumor were measured on PET/CT images. The diagnostic performance of PET/CT for IR and HR PCa was calculated, and the relationship between the SUVmax of primary prostate tumor, prostate-specific antigen (PSA) level and Gleason score (GS) was analyzed.

Results

Of all 101 patients, 49 patients were classified into IR group and 52 patients were classified into HR group. There was a significant positive correlation between PSA level/GS and SUVmax (r = 0.561, r = 0.496, P < 0.001, respectively). Tumors with GS 6 and 7a showed significantly lower 18F-PSMA-1007 uptake compared to patients with GS 8 and 9 (P < 0.01). SUVmax in patients of HR was significantly higher than those of IR (median SUVmax: 16.85 vs 7.80; P < 0.001). In receiver operating characteristic curve analysis, the optimal cutoff value of the SUVmax for identifying high-risk PCa was set as 9.05 (area under the curve: 0.829; sensitivity: 90.4%; specificity: 65.3%).

Conclusion

18F-PSMA-1007 PET/CT showed the powerful diagnosis efficacy for high-risk PCa, which can be used as an objective imaging reference index for clinical reference.
Literature
10.
go back to reference Ross JS, Sheehan CE, Fisher HA, Kaufman RP Jr, Kaur P, Gray K, et al. Correlation of primary tumor prostate-specific membrane antigen expression with disease recurrence in prostate cancer. Clin Cancer Res. 2003;9:6357–62.PubMed Ross JS, Sheehan CE, Fisher HA, Kaufman RP Jr, Kaur P, Gray K, et al. Correlation of primary tumor prostate-specific membrane antigen expression with disease recurrence in prostate cancer. Clin Cancer Res. 2003;9:6357–62.PubMed
11.
12.
15.
18.
go back to reference Cornford P, Bergh RCN, Briers E, Santis M, Fanti S, Gillessen S, et al. EAU-EANM-ESTRO-ESUR-SIOG guidelines on prostate cancer 2020 published guidelines. 2020. Cornford P, Bergh RCN, Briers E, Santis M, Fanti S, Gillessen S, et al. EAU-EANM-ESTRO-ESUR-SIOG guidelines on prostate cancer 2020 published guidelines. 2020.
19.
go back to reference Cardinale J, Martin R, Remde Y, Schafer M, Hienzsch A, Hubner S, et al. Procedures for the GMP-compliant production and quality control of [(18)F]PSMA-1007: a next generation radiofluorinated tracer for the detection of prostate cancer. Pharmaceuticals (Basel). 2017. https://doi.org/10.3390/ph10040077.CrossRef Cardinale J, Martin R, Remde Y, Schafer M, Hienzsch A, Hubner S, et al. Procedures for the GMP-compliant production and quality control of [(18)F]PSMA-1007: a next generation radiofluorinated tracer for the detection of prostate cancer. Pharmaceuticals (Basel). 2017. https://​doi.​org/​10.​3390/​ph10040077.CrossRef
Metadata
Title
The value of 18F-PSMA-1007 PET/CT in identifying non-metastatic high-risk prostate cancer
Authors
Jun-jie Hong
Bo-le Liu
Zhi-qiang Wang
Kun Tang
Xiao-wei Ji
Wei-wei Yin
Jie Lin
Xiang-wu Zheng
Publication date
01-12-2020
Publisher
Springer Berlin Heidelberg
Published in
EJNMMI Research / Issue 1/2020
Electronic ISSN: 2191-219X
DOI
https://doi.org/10.1186/s13550-020-00730-1

Other articles of this Issue 1/2020

EJNMMI Research 1/2020 Go to the issue