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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).
AuthorsNkiruka C Atuegwu, Lori R Arlinghaus, Xia Li, E Brian Welch, Bapsi A Chakravarthy, John C Gore, Thomas E Yankeelov
JournalMagnetic resonance in medicine (Magn Reson Med) Vol. 66 Issue 6 Pg. 1689-96 (Dec 2011) ISSN: 1522-2594 [Electronic] United States
PMID21956404 (Publication Type: Clinical Trial, Journal Article, Research Support, N.I.H., Extramural)
CopyrightCopyright © 2011 Wiley Periodicals, Inc.
Chemical References
  • Everolimus
  • Paclitaxel
  • Cisplatin
  • Sirolimus
Topics
  • Adult
  • Aged
  • Antineoplastic Combined Chemotherapy Protocols (administration & dosage)
  • Breast Neoplasms (drug therapy, pathology)
  • Cell Survival (drug effects)
  • Chemotherapy, Adjuvant
  • Cisplatin (administration & dosage)
  • Computer Simulation
  • Diffusion Magnetic Resonance Imaging (methods)
  • Drug Therapy, Computer-Assisted (methods)
  • Everolimus
  • Female
  • Humans
  • Image Enhancement (methods)
  • Image Interpretation, Computer-Assisted (methods)
  • Middle Aged
  • Models, Biological
  • Paclitaxel (administration & dosage)
  • Prognosis
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Sirolimus (administration & dosage, analogs & derivatives)
  • Systems Integration
  • Treatment Outcome

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