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Abstract #0584

Statistical Modeling of Longitudinal Total Choline Measurements During Chemotherapy

Ann M. Brearley1, Lynn E. Eberly1, Naomi R. Mraz2, Michael T. Nelson2, Douglas Yee3, Michael Garwood4, Patrick J. Bolan5

1Biostatistics, University of Minnesota, Minneapolis, MN, USA; 2Radiology, University of Minnesota, Minneapolis, MN, USA; 3Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA; 4Center for MR Research / Radiology,, University of Minnesota, Minneapolis, MN, USA; 5Center for MR Research / Radiology, University of Minnesota, Minneapolis, MN, USA


In this work we describe a retrospective analysis of choline measurements acquired in breast cancer subjects undergoing neoadjuvant chemotherapy. We proposed a series of models to describe the time-course of the choline response during therapy, and selected an optimal model based on Akaike and Bayesian information criteria. The model fits, and the relative suitability of the various models, were then used to infer important characteristics of the total choline response that are useful for designing future clinical trials.