Journal
MAGNETIC RESONANCE IN MEDICINE
Volume 66, Issue 6, Pages 1689-1696Publisher
WILEY
DOI: 10.1002/mrm.23203
Keywords
diffusion MRI; cellularity; tumor growth; mathematical model; breast cancer
Funding
- National Institutes of Health [NCI 1R01CA129961, NCI U01 CA142565, NCI P50 CA128323, NCI P30 CA68485]
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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 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). Magn Reson Med 66:1689-1696, 2011. (C) 2011 Wiley Periodicals, Inc.
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