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Abstract #1117

Quantitative Analysis of Multi-parametric FLT-PET/MRI in Evaluating Early Treatment Response in Renal Cell Carcinoma

Jacob Antunes 1 , Satish Viswanath 1 , Mirabela Rusu 1 , Laia Valls 2 , Norbert Avril 2 , Christopher Hoimes 2 , and Anant Madabhushi 1

1 Center for Computational Imaging and Personalized Diagnostics, Case Western Reserve University, Cleveland, OH, United States, 2 University Hospitals Case Medical Center, Cleveland, OH, United States

We present a framework for quantitatively evaluating early treatment response of renal cell carcinoma (RCC). A single RCC patient was imaged using an integrated T2W/PET and DWI sequence before and during cytostatic drug treatment. Sequences within an acquisition protocol were spatially aligned and co-registered between acquisition time points. SUV, ADC-map, and T2W textural feature intensities were extracted on a per-voxel basis. A weighted difference map combination of multiple PET/MRI parameters was computed to optimize for expected changes within annotated RCC and normal tissue regions. The integrated multi-parametric PET/MRI map demonstrated high specificity in identifying early treatment response in metastatic RCC.

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