Prostate specific antigen and acinar density: a new dimension, the "Prostatocrit"

Area of Science:

• Urology
• Oncology
• Medical Imaging

Background:

• Traditional prostate-specific antigen (PSA) density has limitations in diagnosing prostate cancer.
• The peripheral zone and its cellular constituents, termed "prostatocrit", are crucial for accurate diagnosis.

Purpose of the Study:

• To develop a novel "prostatocrit" model using peripheral zone zonal volumes and acinar asymmetry.
• To enhance prediction of high-grade and all-grade prostate cancer by integrating acinar volume and density ratios with whole gland measurements.
• To create more accurate nomograms for prostate biopsy guidance.

Main Methods:

• Transrectal ultrasound (TRUS) and biopsy data from 674 patients were analyzed.
• Whole gland and zonal volumes were calculated.
• A new "prostatocrit" model incorporating peripheral zone acinar density and volume ratios was compared against traditional PSA density using logistic regression and ROC analysis.

Main Results:

• The "prostatocrit" acinar model demonstrated superior prediction for all grades of prostate cancer (AUC 0.774) compared to the clinic model (AUC 0.745).
• For high-grade prostate cancer, peripheral zone acinar density (prostatocrit) was the sole significant density predictor, with the acinar model achieving an AUC of 0.811 versus 0.769 for the clinic model.

Conclusions:

• Peripheral zone "prostatocrit" density and volume ratios offer significant improvements in prostate cancer prediction.
• This novel approach outperforms conventional density measurements for diagnosing prostate cancer.