Apparent diffusion coefficient in the analysis of prostate cancer: determination of optimal b-value pair to differentiate normal from malignant tissue

Clin Imaging. 2018 Jan-Feb:47:90-95. doi: 10.1016/j.clinimag.2017.09.004. Epub 2017 Sep 8.

Abstract

Purpose: Determining optimal b-value pair for differentiation between normal and prostate cancer (PCa) tissues.

Methods: Forty-three patients with diagnosis or PCa symptoms were included. Apparent diffusion coefficient (ADC) was estimated using minimum and maximum b-values of 0, 50, 100, 150, 200, 500s/mm2 and 500, 800, 1100, 1400, 1700 and 2000s/mm2, respectively. Diagnostic performances were evaluated when Area-under-the-curve (AUC)>95%.

Results: 15 of the 35 b-values pair surpassed this AUC threshold. The pair (50, 2000s/mm2) provided the highest AUC (96%) with ADC cutoff 0.89×10-3mm2/s, sensitivity 95.5%, specificity 93.2% and accuracy 94.4%.

Conclusions: The best b-value pair was b=50, 2000s/mm2.

Keywords: ADC; B-value; Diffusion weighted imaging; Prostate cancer.

Publication types

  • Evaluation Study

MeSH terms

  • Aged
  • Area Under Curve
  • Diffusion Magnetic Resonance Imaging / methods*
  • Humans
  • Male
  • Middle Aged
  • Prostate / diagnostic imaging
  • Prostate / pathology*
  • Prostatic Neoplasms / diagnosis*
  • Prostatic Neoplasms / diagnostic imaging
  • Sensitivity and Specificity