Optimized b-value selection for the discrimination of prostate cancer grades, including the cribriform pattern, using...

Area of Science:

• Radiology
• Oncology
• Medical Imaging

Background:

• Multiparametric magnetic resonance imaging (MP-MRI) is crucial for prostate cancer diagnosis.
• Diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) are key components of MP-MRI.

Purpose of the Study:

• To correlate prostate cancer grade and morphology with different apparent diffusion coefficient (ADC) b-value combinations.
• To determine the optimal b-value combinations for accurate prostate cancer detection using ADC.

Main Methods:

• MP-MRI with seven b-values was performed on 39 patients prior to radical prostatectomy.
• Excised prostates were precisely sliced and aligned with MRI data for pathological annotation.
• Apparent diffusion coefficient (ADC) values were extracted from annotated peripheral zone regions and analyzed using ROC analysis.

Main Results:

• Apparent diffusion coefficient (ADC) significantly differentiates Gleason G4-5 cancer from lower grades and non-cancerous prostate tissue.
• Optimal b-value combinations for discriminating high-grade cancer were (50, 2000), followed by (100, 2000) and (0, 2000).
• Specific ADC cut-offs were identified for tissue type discrimination based on selected b-value combinations.

Conclusions:

• The choice of b-values critically impacts the sensitivity and specificity of ADC in prostate cancer diagnosis.
• Optimized ADC calculation using specific b-values enhances the diagnostic performance of MP-MRI for prostate cancer grading.