Standardized Reporting of Prostate MRI: Comparison of the Prostate Imaging Reporting and Data System (PI-RADS)

Susanne Tewes1, Nikolaj Mokov2, Dagmar Hartung1

  • 1Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.

Plos One
|September 23, 2016
PubMed
Abstract

Insights

The Prostate Imaging Reporting and Data System (PI-RADS) v2 shows improved inter-observer agreement and is faster than v1 for prostate cancer detection using MRI. Both PI-RADS versions offer high accuracy in identifying malignant lesions.

Area of Science:

  • Radiology
  • Oncology
  • Medical Imaging

Background:

  • Prostate cancer diagnosis relies heavily on multiparametric MRI (mpMRI).
  • The Prostate Imaging Reporting and Data System (PI-RADS) standardizes mpMRI interpretation.
  • Comparing PI-RADS versions is crucial for optimizing diagnostic protocols.

Purpose of the Study:

  • To evaluate agreement between PI-RADS version 1 (v1) and version 2 (v2).
  • To compare diagnostic accuracy, inter-observer agreement, and practicability of PI-RADS v1 and v2.
  • To assess the utility of PI-RADS v2 in clinical routine for prostate cancer detection.

Main Methods:

  • Re-analysis of 54 mpMRI scans (T2-weighted, DWI, DCE) using PI-RADS v1 and v2 by two independent readers.
  • Diagnostic accuracy assessed via ROC curve analysis for prostate cancer (PCa) detection.
  • Calculation of agreement between PI-RADS versions and observers, and measurement of scoring time.

Main Results:

  • Both PI-RADS versions demonstrated high diagnostic accuracy for PCa detection.
  • PI-RADS v2 showed improved inter-observer agreement (κ=0.56) compared to v1 (κ=0.39).
  • Scoring time was significantly reduced with PI-RADS v2 (24.7s) versus v1 (41.9s).

Conclusions:

  • High agreement was observed between PI-RADS v1 and v2.
  • PI-RADS v2 offers enhanced practicability due to better inter-observer agreement and reduced time demand.
  • PI-RADS v2 is a potentially more efficient tool for routine clinical use in prostate cancer detection.

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