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.