Objectives: Men with previously negative prostate biopsies but continued suspicion for carcinoma present a diagnostic dilemma often managed by saturation prostate biopsy (SPB). We sought to determine the patient characteristics for which repeat biopsy by SPB provides the greatest utility for prostate cancer detection.
Methods: The records of the men at the state hospital and affiliated Veterans Affairs Medical Center with previously negative prostate biopsy findings who had then undergone SPB were reviewed. The predictors of cancer were analyzed, and those that were significant were included in a multivariate logistic regression model.
Results: A total of 82 men underwent SPB from November 2001 to March 2006. Their mean age was 61 years (range 43 to 76), and 44 (54%) were white, 37 (45%) were African American, and 1 (1%) was Asian. The mean prostate-specific antigen level at SPB was 9.1 ng/mL (range 1.0 to 34). The number of prior biopsies was one in 43 patients (52%) and two or more in 39 patients (47%). The prostate volume averaged 53 cm(3) (range 12 to 200). SPB included a median of 24 cores (range 24 to 40). Of the 82 patients, 16 (19.5%) were diagnosed with cancer, of whom 10 (63%) elected to undergo radical prostatectomy. The only significant predictors of prostate cancer were the prostate-specific antigen level (P = 0.009) and prostate volume. The cancer detection rate was 57% for patients with a prostate volume less than 37 cm(3) and 7% for those with larger glands, and the difference was significant on multivariate analysis (odds ratio 31, 95% confidence interval 6 to 158, P <0.0001).
Conclusions: The results of our study have shown that SPB is an effective diagnostic tool with a high yield for men with persistent suspicion for prostate cancer, prior negative biopsy findings, and a prostate volume less than 37 cm(3).
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http://dx.doi.org/10.1016/j.urology.2007.05.017 | DOI Listing |
Eur J Nucl Med Mol Imaging
January 2025
The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
Purpose: The study explores the role of multimodal imaging techniques, such as [F]F-PSMA-1007 PET/CT and multiparametric MRI (mpMRI), in predicting the ISUP (International Society of Urological Pathology) grading of prostate cancer. The goal is to enhance diagnostic accuracy and improve clinical decision-making by integrating these advanced imaging modalities with clinical variables. In particular, the study investigates the application of few-shot learning to address the challenge of limited data in prostate cancer imaging, which is often a common issue in medical research.
View Article and Find Full Text PDFJ Gen Intern Med
January 2025
Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
Background: Active surveillance (AS) is the guideline-recommended treatment for low-risk prostate cancer and involves routine provider visits, lab tests, imaging, and prostate biopsies. Despite good uptake, adherence to AS, in terms of receiving recommended follow-up testing and remaining on AS in the absence of evidence of cancer progression, remains challenging.
Objective: We sought to better understand urologist, primary care providers (PCPs), and patient experiences with AS care delivery to identify opportunities to improve adherence.
Prostate Cancer Prostatic Dis
January 2025
Department of Urology, The Second Hospital of Tianjin Medical University, Tianjin, 300211, China.
Sci Rep
January 2025
Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Moorenstr. 5, 40225, Dusseldorf, Germany.
Aim of this study was to proof the concept of optimizing the contrast between prostate cancer (PC) and healthy tissue by DWI post-processing using a quadrature method. DWI post-processing was performed on 30 patients (median age 67 years, prostate specific antigen 8.0 ng/ml) with PC and clear MRI findings (PI-RADS 4 and 5).
View Article and Find Full Text PDFJ 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.
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