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
1ρ
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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