Reproducibility of apparent diffusion coefficient measurement in normal prostate peripheral zone at 1.5T MRI

Diagn Interv Imaging. 2022 Nov;103(11):545-554. doi: 10.1016/j.diii.2022.06.001. Epub 2022 Jun 27.

Abstract

Purpose: The purpose of this study was to quantify the influence of factors of variability on apparent diffusion coefficient (ADC) estimation in the normal prostate peripheral zone (PZ).

Materials and methods: Fifty healthy volunteers underwent in 2017 (n = 17) or 2020 (n = 33) two-point (0, 800 s/mm²) prostate diffusion-weighted imaging in the morning on 1.5 T scanners A and B from different manufacturers. Additional five-point (50, 150, 300, 500, 800 s/mm²) acquisitions were performed on scanner B in the morning and evening. ADC was measured in PZ at midgland using ADC maps reconstructed with various b-value combinations. ADC distributions from 2017 and 2020 were compared using Wilcoxon rank sum test. ADC obtained in the same volunteers were compared using Bland Altman methodology. The 95% confidence interval upper limit of the repeatability/reproducibility coefficient defined the lowest detectable ADC difference.

Results: Forty-nine participants with a mean age of 24.6 ± 3.8 [SD] years (range: 21-37 years) were finally included. ADC distributions from 2017 and 2020 were not significantly different and were combined. Despite high individual variability, there was no significant bias (10 × 10-6 mm²/s, P = 0.58) between ADC measurements made on both scanners. On scanner B, differences in lowest b-values chosen within the 0-500 s/mm² range for two-point ADC computation induced significant biases (56-109 × 10-6 mm²/s, P < 0.0001). ADC was significantly lower in the morning (bias: 33 × 10-6 mm²/s, P = 0.006). The number of b-values had little influence on ADC values. The lowest detectable ADC difference varied from 85 × 10-6 to 311 × 10-6 mm²/s across scanners, b-value combinations and periods of the day.

Conclusions: The MRI scanner, the lowest b-value used and the period of the day induce substantial variability in ADC computation.

Keywords: Diffusion magnetic resonance imaging; Healthy volunteers; Prostate; Reproducibility of results.

MeSH terms

  • Adult
  • Diffusion Magnetic Resonance Imaging / methods
  • Healthy Volunteers
  • Humans
  • Magnetic Resonance Imaging
  • Male
  • Prostate* / diagnostic imaging
  • Prostatic Neoplasms*
  • Reproducibility of Results
  • Young Adult