Prospective Inclusion of Apparent Diffusion Coefficients in Multiparametric Prostate MRI Structured Reports:

Daniel N Costa, Yin Xi, Muhammad Aziz

  • 11 Department of Radiology, University of Texas Southwestern Medical Center, 2201 Inwood Rd, Dallas, TX 75390.

Abstract

Insights

Mean apparent diffusion coefficient (ADC) values from multiparametric MRI (mpMRI) can help distinguish clinically significant prostate cancer from insignificant types. This aids in risk stratification before biopsy and treatment.

Area of Science:

  • Radiology
  • Oncology
  • Urology

Background:

  • Multiparametric MRI (mpMRI) is crucial for prostate cancer assessment.
  • Differentiating clinically insignificant from significant prostate cancer is vital for patient management.

Purpose of the Study:

  • To evaluate the diagnostic performance of mean apparent diffusion coefficient (ADC) values in mpMRI structured reports.
  • To assess the ability of ADC values to discriminate between clinically insignificant (ISUP group 1) and significant (ISUP groups 2-5) prostate cancer.

Main Methods:

  • A single-center study included men with abnormal 3-T mpMRI (PI-RADS v2 score ≥ 3) undergoing radical prostatectomy or biopsy.
  • Radiologists prospectively reported mean ADC values for lesions.
  • Logistic regression and ROC AUC analysis were used to assess diagnostic performance.

Main Results:

  • Lower mean ADC values were observed in clinically significant prostate cancer (ISUP groups 2-5) compared to insignificant types (ISUP group 1).
  • Overall mean ADC values were 0.598 vs 0.803 mm²/s × 10⁻³ (p < 0.0001).
  • The area under the curve (AUC) for the peripheral zone was 0.91, and for the transition zone was 0.70.

Conclusions:

  • Prospectively estimated ADC values in a clinical setting can differentiate prostate cancer significance.
  • ADC values facilitate prebiopsy and pretreatment risk stratification for prostate cancer.

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