Acquisition Parameters Influence Diffusion Metrics Effectiveness in Probing Prostate Tumor and Age-Related Microstructure.
Alessandra Stella CaporaleMarco NezzoMaria Giovanna Di TraniAlessandra MaiuroRoberto MianoPierluigi BoveAlessandro MaurielloGuglielmo ManentiSilvia CapuaniPublished in: Journal of personalized medicine (2023)
This study aimed to investigate the Diffusion-Tensor-Imaging (DTI) potential in the detection of microstructural changes in prostate cancer (PCa) in relation to the diffusion weight (b-value) and the associated diffusion length l D . Thirty-two patients (age range = 50-87 years) with biopsy-proven PCa underwent Diffusion-Weighted-Imaging (DWI) at 3T, using single non-zero b-value or groups of b-values up to b = 2500 s/mm 2 . The DTI maps (mean-diffusivity, MD; fractional-anisotropy, FA; axial and radial diffusivity, D// and D┴), visual quality, and the association between DTI-metrics and Gleason Score (GS) and DTI-metrics and age were discussed in relation to diffusion compartments probed by water molecules at different b-values. DTI-metrics differentiated benign from PCa tissue ( p ≤ 0.0005), with the best discriminative power versus GS at b-values ≥ 1500 s/mm 2 , and for b-values range 0-2000 s/mm 2 , when the l D is comparable to the size of the epithelial compartment. The strongest linear correlations between MD, D//, D┴, and GS were found at b = 2000 s/mm 2 and for the range 0-2000 s/mm 2 . A positive correlation between DTI parameters and age was found in benign tissue. In conclusion, the use of the b-value range 0-2000 s/mm 2 and b-value = 2000 s/mm 2 improves the contrast and discriminative power of DTI with respect to PCa. The sensitivity of DTI parameters to age-related microstructural changes is worth consideration.
Keyphrases
- white matter
- prostate cancer
- multiple sclerosis
- diffusion weighted imaging
- radical prostatectomy
- end stage renal disease
- randomized controlled trial
- chronic kidney disease
- magnetic resonance
- ejection fraction
- magnetic resonance imaging
- body mass index
- molecular dynamics simulations
- prognostic factors
- risk assessment
- diffusion weighted
- quality improvement
- real time pcr