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Magnetic Resonance Imaging

Magnetic Resonance Imaging

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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Understanding Spatial Correlation Between Multiparametric MRI Performance and Prostate Cancer.

Fatemeh Zabihollahy¹, Sohaib Naim^1,2, Pornphan Wibulpolprasert³

¹Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, California, USA.

Journal of Magnetic Resonance Imaging : JMRI

|February 12, 2024

Summary

Multiparametric MRI (mpMRI) shows spatial correlation with prostate cancer (PCa) location. Specific areas, like the left posterior prostate, have a higher likelihood of missed clinically significant PCa.

Keywords:

PI‐RADS multiparametric MRI prostate cancer prostate sector map whole‐mount histopathology

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Area of Science:

Radiology
Urologic Oncology
Medical Imaging

Background:

Multiparametric MRI (mpMRI) significantly impacts prostate cancer (PCa) diagnosis.
Understanding the spatial relationship between mpMRI performance and PCa location is crucial but limited.
Prostate sector mapping offers a framework to analyze these spatial correlations.

Purpose of the Study:

To investigate the association between mpMRI performance and tumor spatial location using a prostate sector map.
To analyze detection rates and positive predictive values across different prostate regions.
To identify areas with higher rates of missed clinically significant PCa (csPCa) on mpMRI.

Main Methods:

Retrospective analysis of 1143 men who underwent mpMRI before radical prostatectomy (2010-2022).
Utilized a 3.0 T MRI scanner with T2-weighted, diffusion-weighted, and dynamic contrast-enhanced sequences.
Employed weighted chi-square tests to assess statistical differences in cancer prevalence, detection rates, and positive predictive values across prostate sectors.

Main Results:

Analysis of 1665 PCa lesions revealed 1060 clinically significant (cs)PCa tumors (Gleason score ≥7).
The left posterior peripheral zone (PZ) showed a high likelihood of missing csPCa lesions (detection rate of 67.0%).
Anterior and apex locations within the PZ demonstrated significantly lower csPCa detection rates (67.3% and 71.5%, respectively).

Conclusions:

mpMRI performance for PCa diagnosis exhibits distinct spatial characteristics.
A significant spatial correlation exists between mpMRI performance and the location of PCa within the prostate.
Findings highlight specific regions, such as the left posterior PZ, anterior PZ, and apex, as areas requiring improved detection strategies.