title: Assessment of multiexponential diffusion features as MRI cancer therapy response metrics.
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/mm(2) ) 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.
authors.affiliation: Department of Radiology, Center for Molecular Imaging, University of Michigan, Ann Arbor, Michigan 48109-2200, USA.
authors.forename: Benjamin A
authors.initials: BA
authors.lastname: Hoff
authors.forename: Thomas L
authors.initials: TL
authors.lastname: Chenevert
authors.forename: Mahaveer S
authors.initials: MS
authors.lastname: Bhojani
authors.forename: Thomas C
authors.initials: TC
authors.lastname: Kwee
authors.forename: Alnawaz
authors.initials: A
authors.lastname: Rehemtulla
authors.forename: Denis
authors.initials: D
authors.lastname: Le Bihan
authors.forename: Brian D
authors.initials: BD
authors.lastname: Ross
authors.forename: Craig J
authors.initials: CJ
authors.lastname: Galbán
mesh_terms: D000465:Algorithms; D000818:Animals; D018906:Antineoplastic Agents, Alkylating / Q000627:therapeutic use; D002330:Carmustine / Q000627:therapeutic use*; D045744:Cell Line, Tumor; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D018316:Gliosarcoma / Q000175:diagnosis* / Q000188:drug therapy*; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008297:Male; D011379:Prognosis; D051381:Rats; D011916:Rats, Inbred F344; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D016896:Treatment Outcome
chemical_list: D018906:Antineoplastic Agents, Alkylating; D002330:Carmustine