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Related Concept Videos

Magnetic Resonance Imaging01:24

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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound
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Biparametric Quantitative MRI for Prostate Cancer Detection.

Meltem Uyanik1, Hari T Vigneswaran1, Graham R Hale1

  • 1Department of Urology, College of Medicine, University of Illinois at Chicago, Chicago, IL.

Topics in Magnetic Resonance Imaging : TMRI
|December 5, 2023
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Summary
This summary is machine-generated.

A new quantitative biparametric MRI protocol shows promise for detecting prostate cancer (PCa) in men who haven't had a biopsy. This advanced imaging technique, using fractional order calculus (FROC) diffusion, outperformed standard PI-RADS scoring for PCa detection.

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Area of Science:

  • Radiology
  • Oncology
  • Medical Imaging

Background:

  • Prostate cancer (PCa) detection in biopsy-naïve men often relies on imaging interpretation.
  • Current methods like Prostate Imaging Reporting & Data System (PI-RADS) have limitations in accuracy.

Purpose of the Study:

  • To prospectively evaluate a novel quantitative biparametric prostate magnetic resonance imaging (MRI) protocol for PCa detection.
  • To compare the accuracy of fractional order calculus (FROC) diffusion and quantitative T2 imaging against PI-RADS.

Main Methods:

  • A prospective pilot study enrolled 50 biopsy-naïve men undergoing 3T MRI with T2 and diffusion-weighted imaging (DWI).
  • Fractional order calculus (FROC) diffusion modeling was applied to DWI data (b-values: 50-4,000 s/mm2).
  • Men with PI-RADS lesions ≥3 underwent targeted and systematic biopsy; analysis focused on detecting Gleason grade group ≥2 (GG≥2) PCa.

Main Results:

  • The study included 48 men, with a mean age of 61.5 years; 52% were African American.
  • The area under the curve (AUC) for detecting GG≥2 PCa was 0.63 for PI-RADS, 0.82 for ADC, and 0.87 for the FROC model.
  • Prostate cancer (GG≥2) was detected in 7% of PI-RADS 3, 28% of PI-RADS 4, and 36% of PI-RADS 5 lesions.

Conclusions:

  • A novel quantitative biparametric MRI protocol is feasible for detecting prostate cancer in biopsy-naïve men.
  • The FROC diffusion model demonstrated superior accuracy compared to PI-RADS for PCa detection.