Unlocking Precision Enhancing Prostate Cancer Detection and Reducing Unnecessary Biopsies with Combined Prostate-Specific Antigen Density and PI-RADS Score
View abstract on PubMed
Summary
This summary is machine-generated.Combining prostate-specific antigen density (PSAD) and PI-RADS scores helps identify clinically significant prostate cancer (csPCa). Low PSAD and PI-RADS scores indicate a low csPCa detection rate, potentially avoiding unnecessary biopsies.
Area Of Science
- Urology
- Oncology
- Radiology
Background
- Prostate cancer diagnosis relies on various markers including Gleason score, PI-RADS, prostate-specific antigen (PSA), and prostate-specific antigen density (PSAD).
- Multiparametric magnetic resonance imaging (mpMRI) and PSAD are crucial in assessing the likelihood of clinically significant prostate cancer (csPCa).
Purpose Of The Study
- To determine the clinically significant prostate cancer (csPCa) detection rate by integrating prostate-specific antigen density (PSAD) and Prostate Imaging-Reporting and Data System (PI-RADS) scores.
- To evaluate the utility of combining PSAD and PI-RADS for optimizing prostate biopsy decisions.
Main Methods
- A descriptive study was conducted from January 2018 to April 2023.
- Patients undergoing prostate biopsies post-mpMRI were analyzed, with PI-RADS 4-5 lesions classified as MR positive.
- csPCa detection rates were assessed by stratifying patients based on PSAD cut-off values and PI-RADS scores.
Main Results
- A PSAD cut-off of 0.165 ng/mL/mL demonstrated 80% sensitivity and 72% specificity for csPCa detection (AUC = 0.81).
- Patients with PI-RADS 1-3 scores and PSAD <0.165 ng/mL/mL had a low csPCa detection rate (3%).
- Conversely, patients with PI-RADS 4-5 scores and PSAD ≥0.165 ng/mL/mL showed a high csPCa detection rate (50.5%).
Conclusions
- Low PSAD values combined with PI-RADS 1-3 scores are associated with a low probability of clinically significant prostate cancer.
- This combined approach may help in avoiding unnecessary prostate biopsies in select patient groups.

