Introduction: Accurate imaging is essential for staging prostate cancer and guiding management decisions. Conventional imaging modalities are hampered by a limited sensitivity for metastatic disease. Nearly all prostate cancers express prostate-specific membrane antigen (PSMA) and F-DCFPyL (piflufolastat F 18) is a new FDA-approved positron emission tomography (PET) agent that targets PSMA for improved staging of prostate cancer.
Areas Covered: This article provides an overview of PSMA, the mechanism of action of F-DCFPyL, and compares the performance of F-DCFPyL to conventional prostate imaging modalities. Current prostate cancer imaging guidelines are reviewed, as well as what changes can be expected in the future with increased access to PSMA-PET.
Expert Opinion: The OSPREY and CONDOR clinical trials have demonstrated the superiority of F-DCFPyL over conventional imaging modalities for the staging and restaging of prostate cancer. The remarkable diagnostic accuracy of PSMA-PET is reshaping prostate cancer imaging and the modularity of these agents hint at exciting new diagnostic and therapeutic opportunities that have the potential to improve the care of patients with prostate cancer as a whole. .
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http://dx.doi.org/10.1080/14737140.2022.2081155 | DOI Listing |
Urologie
January 2025
Klinik und Poliklinik für Urologie, Universitätsklinikum Essen, Hufelandstraße 55, 45147, Essen, Deutschland.
The superiority of prostate-specific membrane antigen (PSMA) positron emission tomography (PET) over conventional staging methods such as computed tomography (CT) and bone scintigraphy has now been demonstrated for almost all clinical stages of prostate cancer. In primary diagnostics, PSMA-PET/CT is therefore the new standard for risk-adapted whole-body staging. At the same time, PSMA-PET/CT provides a new risk-based classification for predicting overall survival across all early and late stages of the disease.
View Article and Find Full Text PDFRadiol Artif Intell
January 2025
https://www.procancer-i.eu/.
Purpose To assess the impact of scanner manufacturer and scan protocol on the performance of deep learning models to classify prostate cancer (PCa) aggressiveness on biparametric MRI (bpMRI). Materials and Methods In this retrospective study, 5,478 cases from ProstateNet, a PCa bpMRI dataset with examinations from 13 centers, were used to develop five deep learning (DL) models to predict PCa aggressiveness with minimal lesion information and test how using data from different subgroups-scanner manufacturers and endorectal coil (ERC) use (Siemens, Philips, GE with and without ERC and the full dataset)-impacts model performance. Performance was assessed using the area under the receiver operating characteristic curve (AUC).
View Article and Find Full Text PDFHistol Histopathol
January 2025
Department of Cytology, Institute for Biological Research "Siniša Stanković" - National Institute of the Republic of Serbia, University of Belgrade, Belgrade, Serbia.
Orchidectomy and estrogenization of the male represent a procedure that is applicable in sex reassignment or in prostate cancer therapy. This approach has an influence on the hypothalamic-pituitary-adrenal axis and thus affects cardiovascular function and metabolism. We utilized orchidectomized rats to evaluate the effects of estradiol on the structure and hormonal output of the adrenal gland.
View Article and Find Full Text PDFBJU Int
January 2025
Faculty of Social Sciences (Health Sciences), Prostate Cancer Research Center, Tampere University, Tampere, Finland.
Objective: To assess the association between prostate-specific antigen (PSA) density (PSAD) and prostate cancer mortality after a benign result on systematic transrectal ultrasonography (TRUS)-guided prostate biopsy.
Patients And Methods: This retrospective study used data from the Finnish Randomised Study of Screening for Prostate Cancer (FinRSPC) collected between 1996 and 2020. We identified men aged 55-71 years randomised to the screening arm with PSA ≥4.
Mol Oncol
January 2025
Urologic Oncology Research Group, Cancer Research Program, Research Institute of the McGill University Health Center, Montreal, Canada.
Patient stratification remains a challenge for optimal treatment of prostate cancer (PCa). This clinical heterogeneity implies intra-tumoural heterogeneity, with different prostate epithelial cell subtypes not all targeted by current treatments. We reported that such cell subtypes are traceable in liquid biopsies through representative transcripts.
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