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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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