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Integration of quantitative DCE-MRI and ADC mapping to monitor treatment response in human breast cancer: initial results |
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AbstractPurposeThe objective of this study was to assess changes in the water apparent diffusion coefficient (ADC) and in pharmacokinetic parameters obtained from the fast-exchange regime (FXR) modeling of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) during neoadjuvant chemotherapy in breast cancer.Materials and MethodsEleven patients with locally advanced breast cancer underwent MRI examination prior to and after chemotherapy but prior to surgery. A 1.5-T scanner was used to obtain T1, ADC and DCE-MRI data. DCE-MRI data were analyzed by the FXR model returning estimates of Ktrans (volume transfer constant), ve (extravascular extracellular volume fraction) and [tau]i (average intracellular water lifetime). Histogram and correlation analyses assessed parameter changes post-treatment.ResultsSignificant (PP[tau]i, although there was qualitative reduction in [tau]i values post-treatment. In particular, there was reduction (PKtrans values in the range 0.2-0.5 min-1 and a decrease (P-3 to 1.35x10-3 mm2/s. ADC and ve were negatively correlated (r=-.60, PT1, ve, [tau]i and ADC) correlated with a multivariable linear regression model.ConclusionThe analysis presented here is sensitive to longitudinal changes in breast tumor status; Ktrans and ADC are most sensitive to these changes. Relationships between parameters provide information on water distribution and geometry in the tumor environment.
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