ArticleBMC urology2025
Optimal PSA density threshold for prostate biopsy in benign prostatic obstruction patients with elevated PSA levels but negative MRI findings.
Article in BMC urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- PSA density for clinically significant prostate cancer detection: a retrospective cohort study on the influence of age and prostate volume.World journal of urology · 2026Article
- Diagnosis of Prostate Cancer: A Comparative Evaluation of Biological Techniques.Diseases (Basel, Switzerland) · 2026Review
- Diagnostic and Clinical Impact of Imaging Modality on PSA Density: TRUS Versus MRI in Gray-Zone Prostate Cancer.Current oncology (Toronto, Ont.) · 2026Article
- Pathological Tumour Volume Percentage as a Quantitative Biomarker of Biological Aggressiveness in High-Risk Prostate Cancer.Cancers · 2026Article
- Beyond Total PSA: Clinical Significance of S2,3PSA% in Reducing Unnecessary Prostate Biopsies.International journal of urology : official journal of the Japanese Urological Association · 2026Review
- A hematological and inflammatory marker-based model for prostate carcinoma diagnosis.American journal of cancer research · 2025Article
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Authors and funding
11 authors.
Funding
Abstract
purposeThis study was designed to identify a useful clinical parameter or model for prostate biopsy in surgery-indicated benign prostate hyperplasia (BPH) patients with elevated PSA levels and negative multiparametric prostate magnetic resonance imaging (MRI) results. PATIENTS AND
methodsWe retrospectively analyzed clinical and pathological data from patients who were diagnosed with BPH and admitted to the inpatient department for surgery between January 2010 and September 2020. Clinical data, including age, prostate specific antigen (PSA) level, F/T PSA ratio, prostate volume, and PSA density (PSAD), were used for comprehensive analysis. Univariate and multivariate logistic regression analyses were performed to develop a predictive model. Receiver operating characteristic (ROC) analysis and decision curve analysis (DCA) were performed to assess the diagnostic value of the predictive model, PSA concentration, F/T PSA ratio and PSAD.
resultsA total of 318 patients were included in the study, 8.2% (26/318) of whom were histologically diagnosed with prostate cancer (PCa). Univariate and multivariate logistic regression analyses revealed that PSAD was the only independent predictor of PCa biopsy. ROC curve analysis of PCa detection revealed a larger area under the curve (AUC) for the predictive model (AUC 0.855) and for PSAD (AUC 0.848) than for PSA (AUC 0.722) or the F/T PSA ratio (AUC 0.635). DCA demonstrated that the optimal strategy would be to restrict biopsies to men with a PSAD of 0.30 ng/ml/cm3.
conclusionsOur study suggested that for BPH patients with surgical indications who present with PSA abnormalities and negative imaging findings, the use of a new PSAD threshold of 0.30 ng/ml/cm3 could facilitate convenient and sound biopsy decisions. This approach could reduce the complications and length of hospital stay associated with biopsies and reduce hospital costs.
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