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Abstract #3664

Repeatability of VERDICT diffusion MRI in a model of human neuroendocrine tumour

Lukas Lundholm1, Mikael Montelius1, Oscar Jalnefjord1, Eva Forssell-Aronsson1, and Maria Ljungberg1
1Department of Radiation Physics, Institute of Clinical Sciences, Gothenburg, Sweden

VERDICT dMRI allows for estimation of microstructural parameters in tumours which could facilitate planning and assessment of treatment. Due to the complexity of the model there is a risk for overfitting to data and there is hence a need to determine the reliability of the estimated parameters. A mouse model of human SI-NETs (n=5) was measured twice using the same dMRI protocol and the VERDICT model was fitted to data. Results showed an overall good repeatability of the tumour mean parameter values estimated by VERDICT. However, some local clusters of voxels showed larger differences between repeated scans.

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