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68Ga-PSMA-PET/CT for the evaluation of liver metastases in patients with prostate cancer

Authors :
Jonathan Damjanovic
Jan-Carlo Janssen
Vikas Prasad
Gerd Diederichs
Thula Walter
Winfried Brenner
Marcus R. Makowski
Source :
Cancer Imaging, Vol 19, Iss 1, Pp 1-9 (2019)
Publication Year :
2019
Publisher :
BMC, 2019.

Abstract

Abstract Background The purpose of this study was to evaluate the imaging properties of hepatic metastases in 68Ga-PSMA positron emission tomography (PET) in patients with prostate cancer (PC). Methods 68Ga-PSMA-PET/CT scans of PC patients available in our database were evaluated retrospectively for liver metastases. Metastases were identified using 68Ga-PSMA-PET, CT, MRI and follow-up scans. Different parameters including, maximum standardized uptake values (SUVmax) of the healthy liver and liver metastases were assessed by two- and three-dimensional regions of interest (2D/3D ROI). Results One hundred three liver metastases in 18 of 739 PC patients were identified. In total, 80 PSMA-positive (77.7%) and 23 PSMA-negative (22.3%) metastases were identified. The mean SUVmax of PSMA-positive liver metastases was significantly higher than that of the normal liver tissue in both 2D and 3D ROI (p ≤ 0.05). The mean SUVmax of PSMA-positive metastases was 9.84 ± 4.94 in 2D ROI and 10.27 ± 5.28 in 3D ROI; the mean SUVmax of PSMA-negative metastases was 3.25 ± 1.81 in 2D ROI and 3.40 ± 1.78 in 3D ROI, and significantly lower than that of the normal liver tissue (p ≤ 0.05). A significant (p ≤ 0.05) correlation between SUVmax in PSMA-positive liver metastases and both size (ρSpearman = 0.57) of metastases and PSA serum level (ρSpearman = 0.60) was found. Conclusions In 68Ga-PSMA-PET, the majority of liver metastases highly overexpress PSMA and is therefore directly detectable. For the analysis of PET images, it has to be taken into account that also a significant portion of metastases can only be detected indirectly, as these metastases are PSMA-negative.

Details

Language :
English
ISSN :
14707330
Volume :
19
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Cancer Imaging
Publication Type :
Academic Journal
Accession number :
edsdoj.714b139ee2a24ee5b7ae12601cde1c29
Document Type :
article
Full Text :
https://doi.org/10.1186/s40644-019-0220-x