We established criteria for appropriate use of the prostate-specific antigen (PSA) assay and used them to evaluate PSA test utilization at 1 tertiary care institution. During a 6-month period, 2,330 PSA results were reported for outpatients and 95 for inpatients. We reviewed medical records for a random sample of 338 outpatient results (14.51%) and all 95 inpatient results, of which 21% (71/338) of outpatient and 17% (16/95) of inpatient results were inappropriate according to our test utilization criteria. Among outpatients, 52% of tests were done for screening and 19% for monitoring for cancer recurrence. For inpatients, workup for cancer (53/95 [56%]) was the most frequent indication for testing and screening the second (24/95 [25%]). Of tests failing the criteria, 66 (76%) of 87 resulted from excessively frequent and age-inappropriate screening. We assessed the potential effect on clinical outcome if these tests were not performed. Of the 87 tests considered inappropriate, only 1 test result influenced clinical management for patients younger than 75 years. By instituting simple limits on age and frequency, we estimate that 74% (64/87) of the inappropriate tests could have been eliminated.
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http://dx.doi.org/10.1309/E11X-491Y-GUJH-EGGF | DOI Listing |
Cureus
December 2024
Nuclear Medicine, King Hussein Cancer Center, Amman, JOR.
Prostate cancer (PCa) is a leading cause of cancer-related deaths globally, with metastatic castration-resistant prostate cancer (mCRPC) posing significant treatment challenges. This case report discusses a 65-year-old male with mCRPC who initially responded to hormonal therapy but later showed disease progression despite additional chemotherapy. He subsequently received Lu-PSMA and Ac-PSMA therapies, both of which failed to halt disease progression despite having an intense PSMA avid metastatic disease.
View Article and Find Full Text PDFEur Urol Focus
January 2025
Martini-Klinik Prostate Cancer Center, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Urology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
We analyzed data for a cohort of 111 patients with EMBARK-like biochemical recurrence (BCR) of prostate cancer (prostate-specific antigen [PSA] doubling time ≤9 mo, PSA ≥1 ng/ml) after radical prostatectomy and localized oligorecurrence on prostate-specific membrane antigen (PSMA)-based imaging. All patients underwent PSMA-radioguided surgery (RGS). At PSMA-RGS, the median PSA was 1.
View Article and Find Full Text PDFRofo
January 2025
Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Theranostics in nuclear oncology combines diagnostic and therapeutic procedures using radiotracers to target tumor cells. Prostate-specific membrane antigen (PSMA) is a key target in metastatic prostate cancer, and the radioligand [177Lu]Lu-PSMA-617, which binds to PSMA, has shown promising results in treating metastatic castration-resistant prostate cancer (mCRPC), leading to its approval by the European Medicines Agency in 2022.In this narrative review, the current evidence of [177Lu]Lu-PSMA-617 in mCRPC was discussed in the context of selected studies and the joint EANM/SNMMI guidelines for Lutetium-177-labeled PSMA-targeted radioligand therapy.
View Article and Find Full Text PDFUrologie
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).
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