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Abstract #1752

Model Parameter Correlation for DCE-MRI in Advanced Cervical Cancer

Jesper Folsted Kallehauge1, Erik M. Pedersen2, Kari Tanderup1, Finn Rasmussen2, Jacob Lindegaard1, Lars Fokdal1, Sren Haack1, Thomas Nielsen1

1Department of Oncology, Experimental Clinical Oncology, rhus, Denmark; 2Department of Radiology, Department of Radiology, rhus, Denmark

Stratification of advanced cervical cancer patients based on perfusion MRI parameters has been succesfull. This abstracts compares different model parameters in the search for the parameter that is easiest to implement in a clinical routine.

Keywords

advanced application aspects assuming best better blood blue bolus broader buildup cancer carcinoma certain cervical cervix chosen cited clinical computationally consistent contrast control correlate correlated correlation curve delineation derived describe describes determined distinguish distribution dynamic dynamics early emission enhance enhanced equidistantly estimating estimation example experienced experimental explain explained expression extend extended extracellular fastest flow flush fraction functional gene highly hypoxia improving included indicates induced initial injected intensive invest isotropic kinetic latter leakage linear lowest materials measuring mechanism might model modeling models mostly much mutual noninvasive normalized noticing often oncologist oncology outcome pairs patients percentile permeability poorer positron potentially predicting primary protocol radiology reaches recent recently redundant registered related relation replaced resolution revealed robust saline sets similarly slice slices slope spaced spatial stimulate stratifying studies subset survival table therapy though tissue tomography tracer trans tumor tumors variability vessels worth