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Related Experiment Videos

Model selection for high b-value diffusion-weighted MRI of the prostate.

Yousef Mazaheri1, Andreas M Hötker2, Amita Shukla-Dave1

  • 1Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States.

Magnetic Resonance Imaging
|October 17, 2017
PubMed
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Non-monoexponential models, including diffusion kurtosis (DK) and stretched exponential (SE), better characterize prostate cancer (PCa) and peripheral zone (PZ) tissues than the standard mono-exponential (ME) model. These advanced models offer superior voxel-wise diffusion MRI analysis.

Area of Science:

  • Radiology and Imaging Science
  • Biomedical Engineering
  • Oncology

Background:

  • Diffusion-weighted imaging (DWI) is crucial for characterizing tissue microstructure.
  • Standard mono-exponential (ME) models may not fully capture complex diffusion processes in tissues like prostate cancer.
  • Advanced diffusion models offer potential for more accurate tissue characterization.

Purpose of the Study:

  • To evaluate the performance of mono-exponential (ME), bi-exponential (BE), diffusion kurtosis (DK), and stretched exponential (SE) models in characterizing malignant and prostatic tissues.
  • To determine the best-fitting diffusion model on a per-voxel basis for prostate cancer (PCa) and peripheral zone (PZ) tissues.

Main Methods:

  • Retrospective analysis of 55 patients with biopsy-proven PCa undergoing 3-Tesla endorectal coil MRI.
Keywords:
Bi-exponential model (BE)Diffusion kurtosis (DK)Diffusion-weighted MRI (DW-MRI)Mono-exponential model (ME)Prostate cancer (PCa)Stretched exponential (SE)

Related Experiment Videos

  • Diffusion-weighted MRI acquired at eight b-values (0-2000 s/mm²).
  • Comparison of ME, BE, DK, and SE models using corrected Akaike information criterion (AICc) and Akaike weight (w) for voxel-wise analysis in PZ and PCa regions of interest (ROIs).

    • Main Results:

    • All non-monoexponential models (BE, DK, SE) outperformed the ME model in both PZ and PCa.
    • The DK model provided the best fit for PZ voxels (39%), while the SE model best fit PCa voxels (43%).
    • DK and SE models showed the highest mean Akaike weights in PZ and PCa, respectively.

    Conclusions:

    • Diffusion kurtosis (DK) and stretched exponential (SE) models are superior to the standard mono-exponential (ME) model for fitting diffusion-weighted imaging (DWI) data in prostate tissues.
    • Voxel-wise mapping confirms that non-monoexponential models provide a better fit for the majority of voxels in both peripheral zone and prostate cancer tissues.
    • The maximum b-value of 2000 s/mm² may not be sufficiently high to definitively identify the optimal non-monoexponential model at current signal-to-noise ratio (SNR) levels.