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