MRI grading for the prediction of prostate cancer aggressiveness

M Boschheidgen1, L Schimmöller2, C Arsov3

  • 1Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Moorenstr. 5, 40225, Düsseldorf, Germany.

European Radiology
|November 8, 2021
PubMed
Abstract

Insights

Multiparametric MRI (mpMRI) provides valuable pre-biopsy information on prostate cancer (PCA) aggressiveness. Combining mpMRI parameters into an MRI grading system significantly improves the prediction of PCA aggressiveness compared to individual metrics.

Area of Science:

  • Radiology
  • Oncology
  • Urology

Background:

  • Prostate cancer (PCA) aggressiveness prediction is crucial for treatment planning.
  • Multiparametric MRI (mpMRI) is increasingly used in PCA diagnosis.

Purpose of the Study:

  • To evaluate the value of mpMRI in predicting prostate cancer aggressiveness.
  • To develop and assess an MRI grading system for PCA aggressiveness.

Main Methods:

  • Retrospective cohort study of 200 patients with histologically confirmed PCA.
  • Evaluation of clinical and mpMRI parameters correlated with ISUP grade groups.
  • Development of MRI grading groups (mG1-mG3) based on combined descriptors.

Main Results:

  • mpMRI parameters (ADC, signal increase, EPE, cross-zonal growth) showed significant differences between ISUP grade groups.
  • All evaluated parameters, except PCA diameter, correlated significantly with ISUP grade groups.
  • The developed MRI grading system demonstrated the strongest prediction of ISUP grade groups.

Conclusions:

  • mpMRI provides relevant pre-biopsy information on PCA aggressiveness.
  • The MRI grading system, combining quantitative and qualitative parameters, offers superior prediction of PCA aggressiveness.
  • This grading system can aid in clinical decision-making and treatment planning, potentially guiding early re-biopsy decisions.