Evaluation of the potential of diffusion-weighted imaging in prostate cancer detection

Author:

Morgan V. A.1,Kyriazi S.1,Ashley S. E.1,deSouza N. M.1

Affiliation:

1. Clinical Magnetic Resonance Group, Royal Marsden NHS Foundation Trust, Institute of Cancer Research, and Department of Statistics, Royal Marsden NHS Foundation Trust Sutton, Surrey, United Kingdom

Abstract

Background: Conventional T2-weighted (T2W) imaging alone has a poor sensitivity for prostate cancer detection. Purpose: To evaluate combined T2W and diffusion-weighted magnetic resonance imaging (DW-MRI) versus T2W MRI alone for identifying tumor in patients with prostate cancer. Material and Methods: Fifty-four consecutive patients with prostate cancer (46 stage 1 and 2, 8 stage 3) and sextant biopsies within the previous 3 months were studied. Endorectal MR images were analyzed by two radiologists (1 experienced, 1 trainee) blinded to patient information and histopathology. T2W images were scored first, followed by combined T2W and isotropic apparent diffusion coefficient (ADC) maps calculated from DW-MRI ( b = 0, 300, 500, and 800 s/mm2). Gland apex, middle, and base for each side were scored negative, indeterminate, or positive for tumor. Imaging data for each sextant were compared with histology. Sensitivity, specificity, and interobserver agreement were calculated. Results: Sensitivity and specificity for tumor identification significantly improved from 50% and 79.6% (T2W alone, experienced observer) to 73.2% and 80.8% ( P<0.001), respectively. For the trainee observer, there was no improvement (44.3% and 72% T2W alone vs. 45.1% and 69.2% T2W plus ADC maps). Interobserver agreement was moderate for T2W imaging alone (kappa 0.51) and fair for T2W plus ADC maps (kappa 0.33). Conclusion: In an experienced observer, DW-MRI together with T2W imaging can significantly improve tumor identification in prostate cancer.

Publisher

SAGE Publications

Subject

Radiology, Nuclear Medicine and imaging,General Medicine,Radiological and Ultrasound Technology

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