Intravoxel Incoherent Motion (IVIM) Diffusion Weighted Imaging (DWI) in the Periferic Prostate Cancer Detection and

Filippo Pesapane1, Francesca Patella2, Enrico Maria Fumarola2

  • 1Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, Via Festa del Perdono 7, 20122, Milan, Italy. filippopesapane@gmail.com.

Insights

Intravoxel Incoherent Motion (IVIM) parameters, alongside standard MRI, improve prostate cancer detection. While ADC values differentiate tumor grades, IVIM parameters show potential for enhanced diagnostic accuracy in prostate cancer assessment.

Area of Science:

  • Radiology
  • Oncology
  • Medical Imaging

Background:

  • Prostate cancer (PCa) diagnosis relies on imaging, but differentiating benign conditions and tumor grades remains challenging.
  • Multi-parametric Magnetic Resonance Imaging (MP-MRI) offers detailed tissue characterization.
  • Intravoxel Incoherent Motion (IVIM) imaging provides insights into tissue microstructure and microcirculation.

Purpose of the Study:

  • To compare IVIM parameters in healthy peripheral zone (PZ), benign prostatic hyperplasia (BPH), and PCa.
  • To assess the correlation of IVIM parameters with Gleason Score (GS) grading.
  • To evaluate the diagnostic performance of IVIM combined with MP-MRI for PCa detection.

Main Methods:

  • Thirty-one patients with suspected PCa underwent 1.5T MP-MRI with an endorectal coil.
  • A protocol including T2WI, DWI with 10 b-values, and DCE was used.
  • Monoexponential and IVIM models were applied to calculate ADC, D, D*, and f parameters.

Main Results:

  • ADC and D values were significantly lower in PCa compared to PZ and BPH.
  • D* was significantly increased in PCa versus PZ, but not significantly different from BPH.
  • The combination of T2WI, DWI, and IVIM achieved higher diagnostic accuracy (99%) than T2WI/DWI or IVIM alone.
  • ADC values showed a statistical difference between low- and intermediate-/high-grade tumors.

Conclusions:

  • Adding IVIM to MP-MRI enhances diagnostic performance for clinically relevant PCa.
  • ADC values reliably discriminate PCa from normal tissue and correlate with tumor grade.
  • IVIM parameters alone were not sufficient to distinguish between different Gleason Scores.

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