Detection of prostate cancer in peripheral zone: comparison of MR diffusion tensor imaging, quantitative dynamic

Chunmei Li1, Min Chen, Saying Li

  • 1Department of Radiology, Beijing Hospital of the Ministry of Health, Beijing, China.

Abstract

Insights

Combining diffusion tensor imaging (DTI) and quantitative dynamic contrast-enhanced MRI (DCE-MRI) significantly improves prostate cancer detection in the peripheral zone. This combined approach offers superior diagnostic performance compared to using either DTI or DCE-MRI alone.

Area of Science:

  • Radiology
  • Oncology
  • Medical Imaging

Background:

  • Previous research indicates diffusion tensor imaging (DTI) and quantitative dynamic contrast-enhanced MRI (DCE-MRI) individually enhance prostate cancer diagnostic accuracy.
  • However, the combined efficacy of DTI and quantitative DCE-MRI at 3.0 Tesla (T) for prostate cancer detection remains unclear.

Purpose of the Study:

  • To evaluate the diagnostic utility of DTI, quantitative DCE-MRI, and their combination at 3.0 T for detecting prostate cancer in the peripheral zone (PZ).

Main Methods:

  • DTI and DCE-MRI were performed on 33 patients before prostate biopsy.
  • Regions of interest were defined across the PZ (apex, mid-gland, base).
  • Apparent diffusion coefficient (ADC), fractional anisotropy (FA), K(trans), and kep values were calculated for cancerous and non-cancerous sextants, with logistic regression and ROC curve analysis used for comparison.

Main Results:

  • Significant differences in ADC, FA, K(trans), and kep were observed between cancerous and non-cancerous PZ sextants (P < 0.0001 for all).
  • The combined DTI + DCE-MRI approach yielded a significantly higher area under the curve (AUC) of 0.93 compared to DTI alone (0.86, P=0.0017) and DCE-MRI alone (0.84, P=0.0034).

Conclusions:

  • The combination of DTI and quantitative DCE-MRI demonstrates superior diagnostic performance for detecting prostate cancer in the peripheral zone compared to either technique used independently.