Technical Program

Paper Detail

Paper:	SA-PM-PS3.7
Session:	Functional, Dynamic and Parametric Imaging
Time:	Saturday, April 8, 13:30 - 14:50
Presentation:	Poster
Title:	Quantification of Heterogeneity in Dynamic Contrast Enhancement MRI Data for Tumor Treatment Assessment
Authors:	Lejla Alic; Erasmus MC - University Medical Center Rotterdam
	Jifke Veenland; Erasmus MC - University Medical Center Rotterdam
	Marion van Vliet; Erasmus MC - University Medical Center Rotterdam
	C. F. van Dijke; Erasmus MC - University Medical Center Rotterdam
	A. M. M. Eggmont; Erasmus MC - University Medical Center Rotterdam
	Wiro Niessen; Erasmus MC - University Medical Center Rotterdam
Abstract:	Experimental evidence exists that especially the heterogeneity in contrast enhancement as evaluated by Dynamic Contrast Enhanced MRI is a predictive feature for treatment outcome. The purpose of this study was to evaluate whether texture features, based on cooccurrence matrices, derived from DCE-MRI based heuristic feature maps are suitable to quantify the heterogeneity in contrast uptake. Ten patients with soft tissue sarcomas, that were treated with an Isolated Limb Perfusion, were imaged before and after treatment using DCE-MRI. The resulting signal intensity curves were analyzed voxel-wise by using fuzzy clustering: the signal intensity curve is partitioned into different temporal regions indicating different stages of enhancement. Based on the clusters, heuristic features describing the contrast dynamics were estimated. The corresponding features maps were used as the basis for the texture analysis to assess the tumor heterogeneity. The correlation between the texture measures and the Heterogeneity in contrast uptake as visually assessed by a radiologist was evaluated. The preliminary results suggest that some texture measures, based on cooccurrence matrices, are suitable to quantify the heterogeneity in contrast uptake in tumor tissue.

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