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Abstract #3858

Multiparametric MRI analysis for the evaluation of MR-guided High Intensity Focused Ultrasound treatment

Stefanie Hectors 1 , Igor Jacobs 1 , Edwin Heijman 2 , Jochen Keupp 3 , Monique Berben 2 , Gustav Strijkers 1,4 , Holger Grll 1,2 , and Klaas Nicolay 1

1 Biomedical NMR, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands, 2 Oncology Solutions, Philips Research Europe, Eindhoven, Netherlands, 3 Tomographic Imaging Systems, Philips Research Europe, Hamburg, Germany, 4 Biomedical Engineering and Physics, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands

A multiparametric MRI protocol, consisting of quantitative T 1 , T 2 , ADC, amide proton transfer (APT) and T measurements, was used to evaluate MR-guided HIFU treatment of subcutaneous rat tumors. K-means clustering was performed on the multiparametric data using all different combinations (feature vectors) of MRI parameters. For feature vector {ADC, APTw signal} a strong correlation (r=0.92) between histology-derived and clustering-derived non-viable tumor fractions was observed, which was higher than correlations between histology-derived non-viable fractions and HIFU-treated fractions derived from MR thermometry and dynamic contrast-enhanced MRI. In conclusion, our data demonstrate that a multiparametric MR analysis can accurately identify HIFU-treated tumor tissue.

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