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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