Prostate MR Image Quality Improvement Collaborative

Improving Performance Together

American College of Radiology Prostate MR Image Quality Improvement CollaborativeMRI is increasingly used in the diagnostic pathway of prostate cancer. However, inadequate image quality in up to 40% of biparametric exams results in diagnostic errors.

Participants will learn and share ways to develop image quality metrics, standardize equipment selection, and ensure appropriate patient preparation to consistently deliver high-quality prostate MR images.

Leadership and Advisory Committee

Physician Leader 


Advisory Committee 

Andrei Purysko, MD, Clinical Assistant Professor of Radiology at the Cleveland Clinic Lerner College of Medicine and faculty for the ACR Education Center Prostate MR course.
  • Clare Tempany, MD, FACR
  • Jeff Weinreb, MD, FACR, FISMRM, FSABI
  • Hung-Jui (Ray) Tan, MD, MSHPM
  • Baris Turkbey, MD
  • Rachel Harris, RT(R)(MR)

  • The Prostate MR Image Quality Improvement Collaborative is one of four improvement collaboratives in the ACR® Learning Network.

    First Cohort Participants

    • Intermountain Healthcare - Salt Lake City, UT
    • The University of Texas MD Anderson Cancer Center - Houston, TX
    • AdventHealth - Orlando, FL
    • Duke University Medical Center - Durham, NC
    • University of Pittsburgh Medical Center - Pittsburgh, PA
    • Boston Medical Center - Boston, MA

    Improvement Collaborative Participation Requirements

    Minimum requirements for participants:

    • A strong interest in improving improving prostate MR Image quality.
    • Supportive department leaders.
    • An improvement coach with QI experience.
    • A team of engaged front-line staff and leaders.
    • Ability to commit to a nine-month training program.

    Resources required:

    • Tracking and monitoring data.

    Project team members (flexible):

    • Radiologist with a prostate imaging clinical focus
    • MRI supervisor or manager
    • MRI technologist
    • MRI scheduler
    • Ordering physician/team

    To learn more about learning collaboratives, view the FAQ.

    Timeline for First Cohort

    Application deadline
    Dec. 20, 2021

    Invitation to participate
    Jan. 29, 2022

    Deadline to commit
    Feb. 21, 2022

    Pre-program training
    Mar. 14, 2022

    First program session
    April 25, 2022

    Nov. 14, 2022