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Assessment of multiexponential diffusion features as MRI cancer therapy response metrics
Authors:Benjamin A. Hoff  Thomas L. Chenevert  Mahaveer S. Bhojani  Thomas C. Kwee  Alnawaz Rehemtulla  Denis Le Bihan  Brian D. Ross  Craig J. Galbán
Affiliation:1. Department of Radiology, Center for Molecular Imaging, University of Michigan, Ann Arbor, Michigan, USA;2. Department of Radiation Oncology, Center for Molecular Imaging, University of Michigan, Ann Arbor, Michigan, USA;3. NeuroSpin, CEA Saclay, France
Abstract:The aim of this study was to empirically test the effect of chemotherapy‐induced tissue changes in a glioma model as measured by several diffusion indices calculated from nonmonoexponential formalisms over a wide range of b‐values. We also compared these results to the conventional two‐point apparent diffusion coefficient calculation using nominal b‐values. Diffusion‐weighted imaging was performed over an extended range of b‐values (120–4000 sec/mm2) on intracerebral rat 9L gliomas before and after a single dose of 1,3‐bis(2‐chloroethyl)‐1‐nitrosourea. Diffusion indices from three formalisms of diffusion‐weighted signal decay [(a) two‐point analytical calculation using either low or high b‐values, (b) a stretched exponential formalism, and (c) a biexponential fit] were tested for responsiveness to therapy‐induced differences between control and treated groups. Diffusion indices sensitive to “fast diffusion” produced the largest response to treatment, which resulted in significant differences between groups. These trends were not observed for “slow diffusion” indices. Although the highest rate of response was observed from the biexponential formalism, this was not found to be significantly different from the conventional monoexponential apparent diffusion coefficient method. In conclusion, parameters from the more complicated nonmonoexponential formalisms did not provide additional sensitivity to treatment response in this glioma model beyond that observed from the two‐point conventional monoexponential apparent diffusion coefficient method. Magn Reson Med, 2010. © 2010 Wiley‐Liss, Inc.
Keywords:diffusion weighted‐MRI  multiexponential diffusion  glioma  treatment response  preclinical
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