Short-term reproducibility of apparent diffusion coefficient estimated from diffusion-weighted MRI of the prostate

Abdom Imaging. 2015 Oct;40(7):2523-8. doi: 10.1007/s00261-015-0396-x.


Purpose: The purpose of the study is to determine short-term reproducibility of apparent diffusion coefficient (ADC) estimated from diffusion-weighted magnetic resonance (DW-MR) imaging of the prostate.

Methods: Fourteen patients with biopsy-proven prostate cancer were studied under an Institutional Review Board-approved protocol. Each patient underwent two, consecutive and identical DW-MR scans on a 3T system. ADC values were calculated from each scan and a deformable registration was performed to align corresponding images. The prostate and cancerous regions of interest (ROIs) were independently analyzed by two radiologists. The prostate volume was analyzed by sextant. Per-voxel absolute and relative percentage variations in ADC were compared between sextants. Per-voxel and per-ROI variations in ADC were calculated for cancerous ROIs.

Results: Per-voxel absolute difference in ADC in the prostate ranged from 0 to 1.60 × 10(-3) mm(2)/s (per-voxel relative difference 0% to 200%, mean 10.5%). Variation in ADC was largest in the posterior apex (0% to 200%, mean 11.6%). Difference in ADC variation between sextants was not statistically significant. Cancer ROIs' per-voxel variation in ADC ranged from 0.001 × 10(-3) to 0.841 × 10(-3) mm(2)/s (0% to 67.4%, mean 11.2%) and per-ROI variation ranged from 0 to 0.463 × 10(-3) mm(2)/s (mean 0.122 × 10(-3) mm(2)/s).

Conclusions: Variation in ADC within the human prostate is reasonably small, and is on the order of 10%.

Keywords: ADC; DWI; MRI; Prostate; Reproducibility.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Analysis of Variance
  • Diffusion Magnetic Resonance Imaging*
  • Humans
  • Image Interpretation, Computer-Assisted*
  • Male
  • Middle Aged
  • Prostate / pathology*
  • Prostatic Neoplasms / pathology*
  • Reproducibility of Results
  • Sensitivity and Specificity