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(68)Ga-PSMA-PET/CT for the evaluation of pulmonary metastases and opacities in patients with prostate cancer

BACKGROUND: The purpose of this study was to investigate the imaging properties of pulmonary metastases and benign opacities in (68)Ga-PSMA positron emission tomography (PET) in patients with prostate cancer (PC). METHODS: (68)Ga-PSMA-PET/CT scans of 739 PC patients available in our database were ev...

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Detalles Bibliográficos
Autores principales: Damjanovic, Jonathan, Janssen, Jan-Carlo, Furth, Christian, Diederichs, Gerd, Walter, Thula, Amthauer, Holger, Makowski, Marcus R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5956855/
https://www.ncbi.nlm.nih.gov/pubmed/29769114
http://dx.doi.org/10.1186/s40644-018-0154-8
Descripción
Sumario:BACKGROUND: The purpose of this study was to investigate the imaging properties of pulmonary metastases and benign opacities in (68)Ga-PSMA positron emission tomography (PET) in patients with prostate cancer (PC). METHODS: (68)Ga-PSMA-PET/CT scans of 739 PC patients available in our database were evaluated retrospectively for lung metastases and non-solid focal pulmonary opacities. Maximum standardized uptake values (SUV(max)) were assessed by two- and three-dimensional regions of interest (2D/3D ROI). Additionally CT features of the lesions, such as location, morphology and size were identified. RESULTS: Ninety-one pulmonary metastases and fourteen opacities were identified in 34 PC patients. In total, 66 PSMA-positive (72.5%) and 25 PSMA-negative (27.5%) metastases were identified. The mean SUV(max) of pulmonary opacities was 2.2±0.7 in 2D ROI and 2.4±0.8 in 3D ROI. The mean SUV(max) of PSMA-positive pulmonary metastases was 4.5±2.7 in 2D ROI and in 4.7±2.9 in 3D ROI; this was significantly higher than the SUV(max) of pulmonary opacities in both 2D and 3D ROI (p<0.001). The mean SUV(max) of PSMA-negative metastases was 1.0±0.5 in 2D ROI and 1.0±0.4 in 3D ROI, and significantly lower than that of the pulmonary opacities (p<0.001). A significant (p<0.05) weak linear correlation between size and 3D SUV(max) in lung metastases (ρ(Spearman)=0.207) was found. CONCLUSION: Based on the SUV(max) in (68)Ga-PSMA-PET alone, it was not possible to differentiate between pulmonary metastases and pulmonary opacities. The majority of lung metastases highly overexpressed PSMA, while a relevant number of metastases were PSMA-negative. Pulmonary opacities demonstrated a moderate tracer uptake, significantly lower than PSMA-positive lung metastases, yet significantly higher than PSMA-negative metastases.