Abstract #4076
Prediction of treatment response using texture analysis on pharmacokinetic maps of dynamic contrast enhanced MRI in patients with head and neck cancer
Yonggang Lu 1 , Jacobus F.A. Jansen 2 , Gaorav Gupta 1 , Nancy Lee 1 , Hilda E. Stambuk 1 , Yousef Mazaheri 1 , Joseph O. Deasy 1 , and Amita Shukla-Dave 1
1
Memorial Sloan-Kettering Cancer Center, NEW
YORK, New York, United States,
2
Maastricht
University Medical Center, Maastricht, Netherlands
Reliable prediction for treatment response will help to
make optimized treatment planning more effectively in
head and neck cancers. In the present study we evaluated
the merits of texture analysis on parametric maps
derived from pharmacokinetic modeling of dynamic
contrast enhanced magnetic resonance imaging in the
usage of treatment response prediction. The results
demonstrated that the energy (E) of parametric maps of
ve (volume fraction of the extravascular extracellular
space) was significantly higher during treatment
compared with pretreatment, suggesting chemo-radiation
treatment significantly reduces the heterogeneity of
tumors. Future studies with larger patient populations
are required to validate this finding.
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