Quality in MR reporting of the prostate – improving acquisition, the role of AI and future perspectives. Review uri icon

Overview

abstract

  • The high quality of MRI reporting of the prostate is the most critical component of the service provided by a radiologist. Prostate MRI structured reporting with PI-RADS v. 2.1 has been proven to improve consistency, quality, guideline-based care in the management of prostate cancer. There is room for improved accuracy of prostate mpMRI reporting, particularly as PI-RADS core criteria are subjective for radiologists. The application of artificial intelligence may support radiologists in interpreting MRI scans. This review addresses the quality of prostate multiparametric MRI (mpMRI) structured reporting (include improvements in acquisition using artificial intelligence) in terms of size of prostate gland, imaging quality, lesion location, lesion size, TNM staging, sector map, and discusses the future prospects of quality in MR reporting.

publication date

  • February 4, 2022

Research

keywords

  • Artificial Intelligence
  • Image Interpretation, Computer-Assisted
  • Magnetic Resonance Imaging
  • Prostatic Neoplasms

Identity

PubMed Central ID

  • PMC8978223

Scopus Document Identifier

  • 85125000937

Digital Object Identifier (DOI)

  • 10.1016/j.euf.2021.03.020

PubMed ID

  • 35119914

Additional Document Info

volume

  • 95

issue

  • 1131