title: Integration of diffusion-weighted MRI data and a simple mathematical model to predict breast tumor cellularity during neoadjuvant chemotherapy.
abstract: Diffusion-weighted magnetic resonance imaging data obtained early in the course of therapy can be used to estimate tumor proliferation rates, and the estimated rates can be used to predict tumor cellularity at the conclusion of therapy. Six patients underwent diffusion-weighted magnetic resonance imaging immediately before, after one cycle, and after all cycles of neoadjuvant chemotherapy. Apparent diffusion coefficient values were calculated for each voxel and for a whole tumor region of interest. Proliferation rates were estimated using the apparent diffusion coefficient data from the first two time points and then used with the logistic model of tumor growth to predict cellularity after therapy. The predicted number of tumor cells was then correlated to the corresponding experimental data. Pearson's correlation coefficient for the region of interest analysis yielded 0.95 (P = 0.004), and, after applying a 3 × 3 mean filter to the apparent diffusion coefficient data, the voxel-by-voxel analysis yielded a Pearson correlation coefficient of 0.70 ± 0.10 (P < 0.05).
authors.affiliation: Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee 37232-2310, USA.
authors.forename: Nkiruka C
authors.initials: NC
authors.lastname: Atuegwu
authors.forename: Lori R
authors.initials: LR
authors.lastname: Arlinghaus
authors.forename: Xia
authors.initials: X
authors.lastname: Li
authors.forename: E Brian
authors.initials: EB
authors.lastname: Welch
authors.forename: Bapsi A
authors.initials: BA
authors.lastname: Chakravarthy
authors.forename: John C
authors.initials: JC
authors.lastname: Gore
authors.forename: Thomas E
authors.initials: TE
authors.lastname: Yankeelov
mesh_terms: D000328:Adult; D000368:Aged; D000971:Antineoplastic Combined Chemotherapy Protocols / Q000008:administration & dosage*; D001943:Breast Neoplasms / Q000188:drug therapy* / Q000473:pathology*; D002470:Cell Survival / Q000187:drug effects; D017024:Chemotherapy, Adjuvant; D002945:Cisplatin / Q000008:administration & dosage; D003198:Computer Simulation; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D004360:Drug Therapy, Computer-Assisted / Q000379:methods*; D000068338:Everolimus; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008875:Middle Aged; D008954:Models, Biological; D017239:Paclitaxel / Q000008:administration & dosage; D011379:Prognosis; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D020123:Sirolimus / Q000008:administration & dosage / Q000031:analogs & derivatives; D018511:Systems Integration; D016896:Treatment Outcome
chemical_list: D000068338:Everolimus; D017239:Paclitaxel; D002945:Cisplatin; D020123:Sirolimus