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Abstract #2256

Optimum Spatial Resolution and Number of Averages of Diffusion Tensor Imaging in Prostate Cancer Detection

Yu-Jen Chen1, Y-S Pu2, S-C Chueh2, C-T Shun3, W-C Chu1, W-Y Isaac Tseng4,5

1Institute of Biomedical Engineering, National Yang-Ming University, Taipei, Taiwan; 2Department of Urology; 3Pathology; 4Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan; 5Center for Optoelectronic Biomedicine, National Taiwan University College of Medicine, Taipei, Taiwan

This study aimed to investigate the diagnostic performance of trace apparent diffusion coefficient maps in prostate cancer detection at different spatial resolutions and number of averages, and to determine a practical protocol that could provide satisfactory diagnostic performance for PCA detection. The tADC maps were reconstructed into 3 different isotropic resolutions, i.e. 1 mm, 2 mm and 3 mm. For each resolution there were 3 different NAV, i.e. 2, 4, and 6 averages. The diagnostic performance of tADC maps for each data set was determined by comparing with the TRUS biopsy results core by core.