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Related Concept Videos

Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...

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Related Experiment Video

Updated: Jun 19, 2026

A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound
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A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound

Published on: March 21, 2025

AI-Assisted Prostate Cancer Diagnosis Using Biparametric MRI and PI-RADS v2.1: Performance Comparison Between

Kexin Li1, Shaonan Mi1, Lu Chen1

  • 1Department of Radiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.

Journal of Magnetic Resonance Imaging : JMRI
|June 17, 2026
PubMed
Summary

Artificial intelligence (AI) software significantly improved prostate cancer detection accuracy for novice MRI readers. Experienced readers also showed performance gains with AI assistance in biparametric MRI interpretation.

Keywords:
PI‐RADS v2.1ROC curveartificial intelligencebiparametric magnetic resonance imagingprostate cancer

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Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy
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Published on: April 9, 2019

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Last Updated: Jun 19, 2026

A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound
06:08

A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound

Published on: March 21, 2025

Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy
09:11

Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy

Published on: April 9, 2019

Area of Science:

  • Radiology
  • Artificial Intelligence
  • Oncology

Background:

  • Artificial intelligence (AI) shows promise in prostate cancer (PCa) detection.
  • The impact of AI on biparametric MRI (bpMRI) interpretation, particularly for less experienced readers, is not well-established.

Purpose of the Study:

  • To assess the influence of AI software assistance on prostate bpMRI interpretation.
  • To compare the performance of readers with varying levels of prostate MRI experience.

Main Methods:

  • Retrospective study of 646 male patients (297 with PCa) using 3.0T bpMRI.
  • Two experienced and two novice readers interpreted MRIs with and without AI assistance (uAI).
  • Lesions were scored using PI-RADS v2.1; histopathology served as the reference standard.

Main Results:

  • AI assistance improved diagnostic performance for novice readers, enhancing sensitivity and specificity at PI-RADS ≥3.
  • Experienced readers also demonstrated improved AUCs with AI assistance.
  • AI improved sensitivity and specificity for detecting clinically significant PCa (ISUP ≥2) across all readers.

Conclusions:

  • AI software (uAI) enhances diagnostic performance in prostate bpMRI interpretation.
  • Novice readers benefit significantly from AI assistance, showing multi-metric improvements.
  • AI shows potential to improve consistency and accuracy in PCa diagnosis via bpMRI.