Zone-Specific PSA Density from AI-Assisted mp-MRI as a Predictor of Prostate Cancer in the PSA 4–20 ng/mL Range
Background/Objectives: Serum prostate-specific antigen (PSA) lacks sufficient specificity for prostate cancer (PCa) detection. We evaluated the diagnostic value of AI-assisted MRI-derived zone-specific PSA density parameters, including transition zone PSA density (TZ-PSAD) and peripheral zone PSA density (PZ-PSAD), in men undergoing prostate biopsy. Methods: This retrospective cohort study included 354 patients who underwent prostate biopsy due to elevated PSA (2024–2026), stratified into PSA 4–10 ng/mL (n = 272) and PSA 10–20 ng/mL (n = 82) groups. Zonal volumes were measured using AI-assisted mp-MRI segmentation per PI-RADS v2.1, and PSAD, TZ-PSAD, and PZ-PSAD were calculated accordingly. MRI readings were performed blinded to pathology. Results: TZ-PSAD was significantly higher in PCa patients in both PSA groups (p < 0.001), demonstrating superior AUC compared to PSAD in both the PSA 4–10 ng/mL (0.711 vs. 0.660) and PSA 10–20 ng/mL (0.841 vs. 0.676) groups. At an optimal cut-off of ≥0.34 ng/mL2, TZ-PSAD yielded 44.8% sensitivity and 90.8% specificity in the PSA 4–10 group, improving to 73.8% sensitivity and 94.7% specificity at ≥0.48 ng/mL2 in the PSA 10–20 group. On multivariate analysis, TZ-PSAD and PI-RADS ≥ 3 emerged as independent predictors of PCa in both groups. Serum PSA, PZ-PSAD, and PZ volume failed to differentiate BPH from PCa in either group. Conclusions: TZ-PSAD and conventional PSAD were both significantly associated with prostate cancer, whereas PZ-PSAD was not, and TZ-PSAD, combined with PI-RAD ≥3, emerged as an independent predictor in the PSA gray zone.
Authors
- Abdullah Gölbaşı (ORCID: https://orcid.org/0000-0001-8397-975X)
- Burak Elmaağaç (ORCID: https://orcid.org/0000-0001-5853-0256)
- Mert Ali Karadağ (ORCID: https://orcid.org/0000-0002-2454-8850)
- Hüseyin Biçer (ORCID: https://orcid.org/0000-0001-7703-3618)
- Ali Yasin Ozercan (ORCID: https://orcid.org/0000-0001-8378-0409)
- Omer Sahin
Institutions
- Kayseri Eğitim ve Araştırma Hastanesi (TR)
- Sağlık Bilimleri Üniversitesi (TR)
Publication Details
- Journal
- Journal of Clinical Medicine
- Published
- 2026-07-23
- DOI
- https://doi.org/10.3390/jcm15155769
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00