Abstract #1054

Predicting Gleason Scores of Prostate Cancer using Combined Trace Apparent Diffusion Coefficient & Tumor Volume

Yu-Jen Chen¹, Y-S Pu², Woei-Chyn Chu¹, W-Y Isaac Tseng^3,4

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

In this study, we perform a retrospective analysis of diffusion tensor imaging in regions containing prostate cancer. Tumor volume (TV), trace apparent diffusion coefficient tADC), and combined parameters were calculated to correlate with gleason score (GS) to determine an index with stronger correlation with GS. Our results are similar to previous reports showing moderate correlation between tADC value and GS (r=-0.61). TV and average radius (R) are also found having moderate correlation with GS (r=0.62, 0.64, respectively). Two combining parameters, tADC/TV and tADC/R, were calculated to correlate with GS and were found having stronger correlations with GS (tADC/TV: r=-0.69; tADC/R: r=-0.77). The parameter of tADC/R might reduce the weighting of tumor size and balance the weightings of tADC and TV to have a better correlation with GS. In conclusion, among the parameters of tADC and TV in pathologically confirmed PCA regions. We found that a combined parameter of tADC/R had a best correlation with GS.