Association of Prostate Multiparametric MRI Parameters with Gleason Score: A Fusion Biopsy-Based Correlation

Davut Ünsal Çapkan1, Mehmet Hamdi Şahan2

  • 1Department of Radiology, Gaziantep Private Medicalpoint Hospital, Gaziantep, Turkiye.

PubMed
Abstract

Insights

Multiparametric MRI (MPMRI) apparent diffusion coefficient (ADC) values correlate with Gleason Scores in prostate cancer. Higher ADC values indicate lower-grade tumors, aiding in assessing aggressiveness.

Area of Science:

  • Radiology
  • Oncology
  • Urology

Background:

  • Multiparametric Magnetic Resonance Imaging (MPMRI) is crucial for prostate cancer assessment.
  • Gleason Scores (GS) from biopsies determine tumor aggressiveness.
  • MRI/Ultrasound (US) fusion guidance enhances biopsy precision.

Purpose of the Study:

  • To investigate the correlation between MPMRI imaging parameters and biopsy-derived Gleason Scores (GS).
  • To evaluate the diagnostic performance of apparent diffusion coefficient (ADC) values in predicting tumor grade.

Main Methods:

  • 120 patients underwent 1.5T MP-MRI and MRI/US fusion-guided biopsy.
  • 202 MRI-identified targets were analyzed for anatomical location, PSA, prostate volume, Prostate Density (PD), ADC values, and PI-RADS v2.1 score.
  • Statistical analysis included Pearson's correlation and Receiver Operating Characteristic (ROC) analysis.

Main Results:

  • ADC values showed a negative correlation with age, PSA, PD, and PI-RADS score.
  • Malignant lesions were predominantly found in the peripheral zone.
  • ADC values demonstrated strong diagnostic performance for low-grade (cut-off: 0.78 ×10-3 mm2/s) and high-grade (cut-off: 0.70 ×10-3 mm2/s) malignancies.

Conclusions:

  • ADC values negatively correlate with Gleason Scores, supporting their use in prostate cancer assessment.
  • Both PI-RADS score and ADC value are reliable predictors of tumor aggressiveness.
  • MPMRI parameters aid clinical decision-making in prostate cancer diagnosis.