Multilocular prostatic cystadenoma is a rare benign neoplasm located between the bladder and the rectum. These are prostatic tissue and have been shown to harbor high-grade intraepithelial neoplasia and likely susceptible to the same disease processes seen in the prostate gland. We report the first case of conventional prostatic adenocarcinoma involving a multilocular cystadenoma. Distinction from cystadenocarcinoma is also made.
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Background And Objective: To assess whether conventional brightness-mode (B-mode) transrectal ultrasound images of the prostate reveal clinically significant cancers with the help of artificial intelligence methods.
Methods: This study included 2986 men who underwent biopsies at two institutions. We trained the PROstate Cancer detection on B-mode transrectal UltraSound images NETwork (ProCUSNet) to determine whether ultrasound can reliably detect cancer.
Focal therapy of prostate cancer: Use of artificial intelligence to define tumour volume and predict treatment outcomes.
BJUI Compass
January 2025
Department of Urology, Institute of Urologic Oncology UCLA Los Angeles California USA.
Objectives: The aim of this study is to evaluate new software (Unfold AI) in the estimation of prostate tumour volume (TV) and prediction of focal therapy outcomes.
Subjects/patients And Methods: Subjects were 204 men with prostate cancer (PCa) of grade groups 2-4 (GG ≥ 2), who were enrolled in a trial of partial gland cryoablation (PGA) at UCLA from 2017 to 2022. Magnetic resonance imaging (MRI)-guided biopsy (MRGB) was performed at diagnosis and at 6 and 18 months following PGA.
Epidemiology, diagnosis and treatment of anterior prostate cancer.
Nat Rev Urol
January 2025
Department of Urology, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Anterior prostate cancers (APCs) are a group of impalpable neoplasms located in regions anterior to the urethra, which comprise the transition zone, apical peripheral zone and anterior fibromuscular stroma. These regions are typically undersampled using conventional biopsy schemes, leading to a low detection rate for APC and a high rate of false negatives. Radical prostatectomy series suggest prevalence rates of at least 10-30%, but transperineal systematic biopsy is ideal for diagnosis, particularly where multiparametric MRI is unavailable.
View Article and Find Full Text PDFAn Artificial Intelligence Model Using Diffusion Basis Spectrum Imaging Metrics Accurately Predicts Clinically Significant Prostate Cancer.
J Urol
January 2025
Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO.
Purpose: Conventional prostate magnetic resonance imaging has limited accuracy for clinically significant prostate cancer (csPCa). We performed diffusion basis spectrum imaging (DBSI) prior to biopsy and applied artificial intelligence models to these DBSI metrics to predict csPCa.
Materials And Methods: Between February 2020 and March 2024, 241 patients underwent prostate MRI that included conventional and DBSI-specific sequences prior to prostate biopsy.
Incidental discovery of gastrointestinal stromal tumor via PSMA-PET/CT imaging: Insights from a case report.
Urol Case Rep
January 2025
The Cancer Ecology Center, The Brady Urological Institute, Johns Hopkins School of Medicine, Baltimore, MD, 21287, USA.
PSMA-PET/CT has emerged as a superior diagnostic tool for prostate cancer, demonstrating enhanced accuracy over conventional imaging methods. Although sensitive for detecting local and metastatic prostate tumors, it can also identify other non-prostate PSMA positive lesions. Here, we report a rare case of a 67-year-old patient with metastatic prostate adenocarcinoma who was found to have an incidental Gastrointestinal Stromal Tumor (GIST), during restaging with 68Ga-PSMA-11 PET/CT.
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