Ga- and F-labeled prostate-specific membrane antigen (PSMA) molecules have created new opportunities for the unmet diagnostic needs in prostate cancer. The purpose of this article is to give an overview of studies that have examined the role of PSMA PET in treatment planning for prostate cancer patients with biochemical recurrence (BCR). Medline, Embase, Web of Science, Google Scholar, and Cochrane Central were searched for relevant articles. After excluding the articles that did not fulfill the required criteria, we included in this review 12 publications that reported the impact of PSMA PET on the treatment plan for prostate cancer patients with BCR. All studies in our review emphasized the impact of PSMA PET images on therapy management in prostate cancer patients with BCR. Overall, the impact of PSMA PET/CT on therapy management varied between 30% and 76% among the 1,346 patients included in the review. Upstaging was reported in 32%-67% of the patients. Patients with low prostate-specific antigen values (<0.5 ng/mL) also demonstrated positive lesions, which could not have been detected by means of conventional imaging techniques. Important modifications to the original treatment plan included avoidance of systemic therapy (17%-40%) and PET-directed local therapy (in ≤60% of the patients). PSMA imaging demonstrated a high clinical impact in patients with BCR, with modifications to the original treatment plan occurring among half the patients. Detecting recurrence in BCR can prevent unnecessary toxicity and lead to individualized therapy.
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http://dx.doi.org/10.2967/jnumed.118.222885 | DOI Listing |
Ann Nucl Med
January 2025
Department of Biomedical Sciences, Humanitas University, Milan, Italy.
The purpose of this systematic review was to evaluate the role of PSMA PET/CT in intermediate-risk prostate cancer (PCa) patients, to determine whether it could help improve treatment strategy and prognostic stratification. A systematic literature search up to May 2024 was conducted in the PubMed, Embase and Scopus databases. Articles with mixed risk patient populations, review articles, editorials, letters, comments, or case reports were excluded.
View Article and Find Full Text PDFJ Neurooncol
January 2025
Department of Neurosurgery, Allegheny Health Network, Neuroscience Institute, Pittsburgh, PA, United States.
Langenbecks Arch Surg
January 2025
Department for the Promotion of Medical Device Innovation, National Cancer Center Hospital East, 6-5-1, Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan.
Purpose: Assessing surgical skills is vital for training surgeons, but creating objective, automated evaluation systems is challenging, especially in robotic surgery. Surgical procedures generally involve dissection and exposure (D/E), and their duration and proportion can be used for skill assessment. This study aimed to develop an AI model to acquire D/E parameters in robot-assisted radical prostatectomy (RARP) and verify if these parameters could distinguish between novice and expert surgeons.
View Article and Find Full Text PDFInsights Imaging
January 2025
Department of Radiology, the Second Affiliated Hospital of Dalian Medical University, Dalian, 116023, China.
Objective: To evaluate the feasibility of utilizing artificial intelligence (AI)-predicted biparametric MRI (bpMRI) image features for predicting the aggressiveness of prostate cancer (PCa).
Materials And Methods: A total of 878 PCa patients from 4 hospitals were retrospectively collected, all of whom had pathological results after radical prostatectomy (RP). A pre-trained AI algorithm was used to select suspected PCa lesions and extract lesion features for model development.
Mov Disord Clin Pract
January 2025
The Edmond J. Safra Program in Parkinson's Disease, University Health Network and the University of Toronto, Toronto, Ontario, Canada.
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