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Prostatic volume and volume-adjusted prostate-specific antigen as predictive parameters for T1c prostate cancer
Nobumichi Tanaka1, Kiyohide Fujimoto, Motokiyo Yoshikawa
1Department of Urology, Nara Medical University.
Hinyokika Kiyo. Acta Urologica Japonica
|August 19, 2007
Summary
Volume-adjusted prostate-specific antigen (PSA) parameters, including PSA density (PSAD) and PSA indexed to transition zone volume (PSATZD), effectively predict T1c prostate cancer. PSATZD demonstrated the strongest predictive value in patients with elevated PSA levels.
Area of Science:
- Urology
- Oncology
- Medical Imaging
Background:
- Prostate-specific antigen (PSA) is a key biomarker for prostate cancer detection.
- Volume-adjusted PSA parameters like PSA density (PSAD) and PSA indexed to transition zone volume (PSATZD) may improve diagnostic accuracy.
- Distinguishing T1c prostate cancer in patients with elevated PSA but normal digital rectal examination (DRE) and transrectal ultrasonography (TRUS) findings remains challenging.
Purpose of the Study:
- To evaluate the predictive usefulness of volume-adjusted PSA parameters for detecting T1c prostate cancer.
- To compare the diagnostic performance of PSA, prostate volume (PV), transition zone volume (TZV), PSAD, and PSATZD.
Main Methods:
- Analysis of 210 patients with abnormal PSA levels but normal DRE/TRUS findings.
- Assessment of PSA, PV, TZV, PSAD, and PSATZD using receiver operating characteristic (ROC) curves and area under the curve (AUC).
- Application of simple and stepwise logistic regression to determine odds ratios and identify significant predictive parameters.
Main Results:
- Prostate cancer was diagnosed in 25.2% of all patients and 19.9% of those with intermediate PSA levels.
- PSA, PV, TZV, PSAD, and PSATZD showed significant predictive values for prostate cancer detection.
- PSATZD emerged as the strongest independent predictor of prostate cancer in both overall and intermediate PSA groups.
Conclusions:
- Volume-adjusted PSA parameters, particularly PSATZD, significantly enhance the prediction of T1c prostate cancer.
- PV and TZV also contribute to discriminating prostate cancer, alongside PSAD and PSATZD.
- PSATZD offers the most robust predictive capability for prostate cancer detection in this patient cohort.
