Abstract #3487

Diffusion weighted imaging of prostate cancer xenografts: comparison of bayesian modeling and independent least squares fitting

Parisa Movahedi¹, Hanne Hakkarainen², Harri Merisaari¹, Heidi Liljenbäck¹, Helena Virtanen¹, Hannu Juhani Aronen¹, Heikki Minn¹, Matti Poutanen¹, Anne Roivainen¹, Timo Liimatainen², and Ivan Jambor¹

¹University of Turku, Turku, Finland, ²A.I. Virtanen Institute for Molecular Sciences, Kuopio, Finland

Tumor growth in mice preclinical prostate cancer model (human prostate cancer cells, PC-3) was followed for 4 weeks by weekly DWI in control group (n=10) and treatment group (n=9) receiving Docetaxel. DWI data sets were acquired using 15 b-values in the range of 0-500s/mm² and 12 b-values the range of 0-2000 s/mm². The DWI signal decays were fitted using monoexponential, biexponential, kurtosis and stretched exponential models/functions. Bayesian shrinkage prior method and independent least squares fitting have been applied and fitting quality evaluated by corrected Akaike Information Criteria. Bayesian modeling improved quality of DWI parametric maps derived using high b-value DWI data sets. Our result does not support the use of biexponential, kurtosis and stretched exponential models/functions for low b value DWI data sets of PC-3 mice preclinical prostate cancer model.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.