Identifying in vivo DCE MRI markers associated with microvessel architecture and gleason grades of prostate cancer

Asha Singanamalli, Mirabela Rusu, Rachel E. Sparks, Natalie N.C. Shih, Amy Ziober, Li-Ping Wang, John Tomaszewski, Mark Rosen, Michael Feldman, Anant Madabhushi
2015 Journal of Magnetic Resonance Imaging  
Purpose-To identify computer extracted in vivo dynamic contrast enhanced (DCE) magnetic resonance imaging (MRI) markers associated with quantitative histomorphometric (QH) characteristics of microvessels and Gleason scores (GS) in prostate cancer. Materials and Methods-This study considered retrospective data from 23 biopsy confirmed prostate cancer patients who underwent 3 Tesla multiparametric MRI prior to radical prostatectomy (RP). Representative slices from RP specimens were stained with
more » ... scular marker CD31. Tumor extent was mapped from RP sections onto DCE MRI using nonlinear registration methods. 77 microvessel QH features and 18 DCE MRI kinetic features were extracted and evaluated for their ability to distinguish low from intermediate and high GS. The effect of temporal sampling on kinetic features was assessed and correlations between those robust to temporal resolution and microvessel features discriminative of GS were examined. Results-A total of 12 microvessel architectural features were discriminative of low and intermediate/high grade tumors with AUC > 0.7. These features were most highly correlated with mean washout gradient (WG) (max rho = −0.62). Independent analysis revealed WG to be moderately robust to temporal resolution (ICC=0.63) and WG variance, which was poorly correlated with microvessel features, to be predictive of low grade tumors (AUC=0.77). Enhancement ratio was the most robust (ICC = 0.96) and discriminative (AUC = 0.78) kinetic feature but was moderately correlated with microvessel features (max rho = −0.52).
doi:10.1002/jmri.24975 pmid:26110513 pmcid:PMC4691230 fatcat:uu6nw5uh7jf2vcuki33g2fg2we