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Time-dependent diffusion MRI offers new insights into prostate cancer (PCa) cellularity and microstructures. This advanced imaging technique shows promise in differentiating significant PCa from less aggressive disease.

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Area of Science:

  • Radiology and Imaging Science
  • Oncology and Cancer Research
  • Biomedical Engineering

Background:

  • Time-dependent diffusion MRI is a novel technique for assessing tissue microstructure.
  • Its utility in characterizing prostate cancer (PCa) cellular properties and disease significance remains unexplored.

Purpose of the Study:

  • To evaluate the feasibility of time-dependent diffusion MRI for microstructural mapping in PCa.
  • To assess its capability in differentiating clinically significant PCa from clinically insignificant disease.

Main Methods:

  • Prospective enrollment of men with suspected PCa.
  • Acquisition of time-dependent diffusion MRI data using pulsed and oscillating gradient sequences.
  • Estimation of microstructural parameters (cell diameter, intracellular volume fraction, cellularity) using a two-compartment model.
  • Comparison of parameters across International Society of Urological Pathology grade groups (GGs).
  • Linear discriminant analysis for discriminating significant PCa (GG >1) from insignificant disease (benign and GG 1).
  • Validation of MRI-derived parameters against histopathologic measurements.

Main Results:

  • Higher GG correlated with increased intracellular volume fraction and cellularity (P < .001).
  • Higher GG correlated with decreased cell diameter (P = .002).
  • Cellularity demonstrated the highest diagnostic performance, achieving 92% accuracy and an AUC of 0.96 for discriminating significant PCa.
  • Strong positive correlation (r = 0.83, P < .001) observed between MRI-derived and pathology-based intracellular volume fraction.

Conclusions:

  • Time-dependent diffusion MRI-based microstructural mapping is feasible for prostate cancer characterization.
  • The technique shows strong correlation with histopathologic findings.
  • This advanced MRI approach holds significant promise for noninvasively assessing PCa cellularity and disease significance.