Identifying in vivo @entity9150 MRI markers associated with microvessel architecture and gleason grades of XXXX .

@entity1 @entity263 @entity5 @entity2279 @entity34004 @entity9150
BACKGROUND: To identify computer extracted in vivo dynamic contrast enhanced ( @entity9150 ) MRI markers associated with quantitative histomorphometric (QH) characteristics of microvessels and Gleason scores (GS) in @entity263 . METHODS: This study considered retrospective data from 23 biopsy confirmed @entity263 @entity1 who underwent 3 Tesla multiparametric MRI before radical prostatectomy (RP). Representative slices from RP specimens were stained with vascular marker @entity2279 . @entity5 extent was mapped from RP sections onto @entity9150 MRI using nonlinear registration methods. Seventy-seven microvessel QH features and 18 @entity9150 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 @entity5 with area under the receiver operating characteristic curve (AUC) > 0.7. These features were most highly correlated with mean @entity34004 ( @entity34004 ) (max rho = -0.62). Independent analysis revealed @entity34004 to be moderately robust to temporal resolution (intraclass correlation coefficient [ICC] = 0.63) and @entity34004 variance, which was poorly correlated with microvessel features, to be predictive of low grade @entity5 (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). CONCLUSION: Computer extracted features of prostate @entity9150 MRI appear to be correlated with microvessel architecture and may be discriminative of low versus intermediate and high GS. J. Magn. Reson. Imaging 2015.
