Health Science Reports (Nov 2024)

Optimizing Multiparametric MRI Protocols for Prostate Cancer Detection: A Comprehensive Assessment Aligned with PI‐RADS Guidelines

  • Mohammad Hossein Jamshidi,
  • Ali Fatemi,
  • Aida Karami,
  • Sepehr Ghanavati,
  • Durjoy D. Dhruba,
  • Mohammad H. Negarestanian

DOI
https://doi.org/10.1002/hsr2.70172
Journal volume & issue
Vol. 7, no. 11
pp. n/a – n/a

Abstract

Read online

ABSTRACT Background and Aim Multiparametric magnetic resonance imaging (mpMRI) is recognized as the most indicative method for diagnosing prostate cancer. The purpose of this narrative review is to provide a comprehensive evaluation aligned with the Prostate Imaging and Reporting Data System (PI‐RADS) guidelines, offering an in‐depth insight into the various MRI sequences used in a standard mpMRI protocol. Additionally, it outlines the critical technical requirements necessary to perform a standard mpMRI examination of the prostate, as defined by the PI‐RADS specifications. Methods European Society of Urogenital Radiology has released PI‐RADS guideline detailing its suggestions aimed at improving the standards of the procedure. The purpose of this guideline is to establish a standard strategy for MRI protocols and image interpretation, aiming to prevent variability in each of the imaging and interpretation stages. Results A standard mpMRI protocol comprises morphological sequences and functional sequences. Morphological sequences which encompass T1‐ and T2‐weighted images, and various functional sequences include diffusion‐weighted imaging, and dynamic contrast‐enhanced MRI. The PI‐RADS recommendations assert that having a standard and uniform protocol for all MRI centers is imperative. Furthermore, the existence of a standardized checklist for interpreting MRI images can foster greater consensus in the process of diagnosing and treating patients. Conclusion Standardized protocols and checklists for mpMRI interpretation are essential for achieving greater consensus among radiologists, ultimately leading to improved diagnostic outcomes in prostate cancer.

Keywords