The primary aim of this study was to investigate the pharmacokinetics of 18F-DCFPyL, an 18F-labeled PSMA-based ligand, and to explore the utility of early time point positron emission tomography (PET) imaging extracted from PET data to distinguish malignant primary prostate from benign prostate tissue.
Ten consecutive patients with biopsy-proven high-risk prostate cancer underwent a dynamic 18F-DCFPyL PET/CT scan of the pelvis for the first 45 min post-injection (p.i.) followed by a static PET/CT at 2 h p.i. 18F-DCFPyL uptake values and kinetics were compared between benign prostate tissue and prostate cancer, including quantitative pharmacokinetic PET parameters extracted from 18F-DCFPyL time activity curves generated from dynamic data using a two-tissue compartment model and Patlak plots.
18F-DCFPyL uptake values were significantly higher in primary prostate tumors than those in benign prostatic hyperplasia (BPH) and normal prostate tissue at 5 min, 30 min, and 120 min p.i. (P = 0.0002), when examining both SUVmax and SUVmean values. The two-tissue compartment model found an overall influx value (Ki) of 0.063 in primary prostate cancer, demonstrating a Ki over 15-fold higher in malignant prostate tissue compared with BPH (Ki = 0.004) and normal prostate tissue (Ki = 0.005) (P = 0.0001).
High-risk primary prostate cancer is readily identified on dynamic and static, delayed, 18F-DCFPyL PET images. The tumor-to-background ratio increases over time, with optimal 18F-DCFPyL PET/CT imaging at 120 min p.i. for evaluation of prostate cancer, but not necessarily ideal for clinical application. Primary prostate cancer demonstrates different uptake kinetics in comparison to BPH and normal prostate tissue. The 15-fold difference in Ki between prostate cancer and non-cancer (BPH and normal) tissues translates to an ability to distinguish prostate cancer from normal tissue at time points as early as 5 to 10 min p.i.
Molecular imaging and biology. 2021 Nov 01 [Epub ahead of print]
Michelle Lu, Liza Lindenberg, Esther Mena, Baris Turkbey, Jurgen Seidel, Anita Ton, Yolanda McKinney, Philip Eclarinal, Maria Merino, Peter Pinto, Peter Choyke, Stephen Adler
Molecular Imaging Branch, National Cancer Institute, NIH, Bethesda, MD, USA., Clinical Research Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD, USA., Laboratory of Pathology, National Cancer Institute, Bethesda, MD, USA., Urologic Oncology Branch, National Cancer Institute, Bethesda, MD, USA., Clinical Research Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD, USA. .
PubMed http://www.ncbi.nlm.nih.gov/pubmed/34724140