Imaging features contain information that reflects underlying pathophysiology but are distinct from that provided by assessments of tumor specimens, which can involve sampling errors because of selection bias of a localized sampling area. Most of the imaging assessment are based on the static and structural MRI and less has been done to perfusion-weighted imaging (PWI) which can reveal tumor vascularity. Time-dependent dynamic histogram parameters of PWI were derived and correlated with the survival rate and gene expression data. Our study demonstrated that the time-dependent information of dynamic histogram parameters can provide additional information regarding survival rate and GBM angiogenesis pathways.
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