Intraindividual Comparison of 18F-PSMA-1007 PET/CT, Multiparametric MRI, and Radical Prostatectomy Specimens in Patients with Primary Prostate Cancer: A Retrospective, Proof-of-Concept Study
Background:(68)Ga-prostate-specific membrane antigen (PSMA)-11-positron-emission-tomography (PET)/ computer-tomography (CT) represents an advanced method for staging of primary prostate cancer (PCa) and diagnosis of recurrent or metastatic PCa. However, due to the narrow availability of (68)Ga the development of alternative tracers is of high interest. Objective: To examine the value of the new PET tracer (18)F-PSMA-1007 for staging of local disease by comparing it to multiparametric magnetic resonance imaging (mpMRI) and radical prostatectomy (RP) histopathology. Methods: In 2016, (18)F-PSMA-1007-PET/CT was performed in 10 men with biopsy confirmed high-risk prostate cancer (PCa). 9 patients underwent mpMRI in the process of primary diagnosis. Consecutively, RP was performed in all 10 men. Agreement analysis was performed retrospectively. PSMA-staining was added for representative sections in RP specimen slices. Localization and agreement analysis of (18)F-PSMA-1007-PET/CT, mpMRI and RP specimen was done dividing the prostate into 38 sections as described in PI-RADS v2. Sensitivity, specificity, positive predictive values (PPV), negative predictive values (NPV) and accuracy were calculated for total and near total agreement. Results:(18)F-PSMA-1007-PET/CT had an NPV of 68% and 75% accuracy and mpMRI had an NPV of 88% and 73% accuracy for total agreement. Near total agreement analysis resulted in an NPV of 91% and an accuracy of 93% for (18)F-PSMA-1007-PET/CT and 90% and 87% for mpMRI, respectively. Retrospective combination of mpMRI and PET/CT had an accuracy of 81% for total and 93% for near total agreement. Conclusion: Comparison with RP histopathology demonstrates that (18)F-PSMA-1007 PET/CT is promising for accurate local staging of PCa.
This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 November 2017.
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