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Author Spotlight: Advancing Prostate Cancer Research Through Improved Tissue Sampling and Biobanking
Published on: November 17, 2023
698
Prostate-specific Antigen Density as a Proxy for Predicting Prostate Cancer Severity: Is There Any Difference between
Mostafa A Arafa1,2, Karim Hamda Farhat1, Danny M Rabah1,3,4
1Surgery Department, The Cancer Research Chair, College of Medicine, King Saud University, Riyadh, Saudi Arabia.
Saudi Journal of Medicine & Medical Sciences
|November 16, 2023
Summary
PSA density (PSAD) effectively predicts clinically significant prostate cancer. A PSAD cutoff of 0.07 ng/ml² is recommended, with caution and consideration for patient age.
Area of Science:
- Urology
- Oncology
- Radiology
Background:
- Prostate-specific antigen (PSA) screening for prostate cancer can lead to overdiagnosis and unnecessary biopsies.
- PSA density (PSAD) shows potential for improving biopsy decisions, but its clinical utility requires further validation.
Purpose of the Study:
- To assess the predictive capability of PSAD in identifying clinically significant prostate cancer (CSC) using both systematic and MRI-targeted biopsy approaches.
Main Methods:
- A prospective study involving 284 patients suspected of prostate cancer at two Saudi Arabian hospitals.
- Multi-parametric MRI was used, followed by systematic and MRI-targeted biopsies for positive findings.
- PSAD was calculated using MRI-derived prostate volume and categorized into subgroups.
Main Results:
- PSAD demonstrated superior discriminant ability for MRI-targeted biopsies (AUC: 0.77) compared to systematic biopsies (AUC: 0.73).
- A PSAD cutoff of 0.07 ng/ml² achieved 97% sensitivity and 87% specificity in targeted biopsies.
- Higher PSAD levels (>0.2 ng/ml²) were associated with a greater proportion of CSC detection, and PSAD >0.15 ng/ml² showed a threefold increase in CSC probability.
Conclusions:
- PSAD is a valuable tool for predicting clinically significant prostate cancer.
- A PSAD cutoff of 0.07 ng/ml² is suggested, but interpretation should incorporate patient age and other clinical factors.

