Prostate imaging reporting and data system version 2 (PI-RADS v2): a pictorial review

Elmira Hassanzadeh1, Daniel I Glazer2, Ruth M Dunne2

  • 1Department of Radiology, Surgical Planning Lab, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, ASB1-L1-Room 050, Boston, MA, 02115, USA. elmitt@gmail.com.

Insights

The Prostate Imaging Reporting and Data System version 2 (PI-RADS v2) standardizes multiparametric MRI for prostate cancer detection. It uses a dominant sequence approach for lesion assessment, improving diagnostic accuracy for clinically significant cancers.

Area of Science:

  • Radiology
  • Oncology
  • Medical Imaging

Background:

  • Prostate cancer diagnosis relies on accurate imaging interpretation.
  • The Prostate Imaging Reporting and Data System (PI-RADS) provides standardized reporting for prostate MRI.
  • PI-RADS version 2 (PI-RADS v2) is the latest expert consensus for multiparametric MRI (mpMRI).

Purpose of the Study:

  • To outline the technical standards and reporting structure of PI-RADS v2.
  • To explain the mpMRI sequences recommended by PI-RADS v2.
  • To describe the PI-RADS v2 scoring system for assessing clinically significant prostate cancer.

Main Methods:

  • PI-RADS v2 specifies minimum technical standards for MR image acquisition.
  • Recommended mpMRI sequences include T1-weighted, T2-weighted (T2W), diffusion-weighted (DWI), and dynamic contrast-enhanced (DCE) imaging.
  • PI-RADS v2 employs a dominant MR sequence based on lesion location (DWI for peripheral zone, T2W for transition zone).

Main Results:

  • PI-RADS v2 provides a structured method for mpMRI reporting.
  • The scoring system assesses the likelihood of clinically significant cancer (Gleason score ≥7, volume >0.5 cc, or extraprostatic extension).
  • The dominant sequence concept differs from PI-RADS v1, focusing on specific sequences for different prostate zones.

Conclusions:

  • PI-RADS v2 offers a standardized approach to mpMRI for prostate cancer.
  • The system aids in differentiating clinically significant cancers from insignificant ones.
  • Understanding the dominant sequence concept is crucial for accurate PI-RADS v2 interpretation.

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