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Abstract #1600

Evaluation of different mathematical models for diffusion weighted imaging of prostate cancer xenografts in mice

Harri Merisaari 1,2 , Hanne Hakkarainen 3 , Heidi Liljenbck 1,4 , Helena Ahtinen 1,4 , Heikki Minn 5 , Matti Poutanen 4,6 , Anne Roivainen 1,4 , Timo Tiimatainen 3 , and Ivan Jambor 7

1 Turku PET Centre, University of Turku, Turku, Finland, 2 Department of Information Technology, University of Turku, Turku, Finland, 3 Department of Biotechnology and Molecular Medicine, A.I. Virtanen Institute for Molecular Sciences, Kuopio, Finland, 4 Turku Center for Disease Modeling, University of Turku, Turku, Finland, 5 Department of Oncology and Radiotherapy, Turku University Hospital, Turku, Finland, 6 Department of Physiology, University of Turku, Turku, Finland, 7 Department of Diagnostic Radiology, University of Turku, Turku, Finland

We have evaluated fitting quality and repeatability of four mathematical models for diffusion weighted imaging (DWI) during tumor progression (PC-3) in mouse xenograft model of prostate cancer. Tumor growth was followed by weekly DWI examinations for 4 weeks using an animal 7T MR scanner. Significant changes were observed in DWI data during the tumor growth, indicated by ADC m , ADC s , and ADC k . Stretched exponential and kurtosis models showed better fit to DWI data than the mono-exponential model and presented with good repeatability.

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