期刊
MAGNETIC RESONANCE IMAGING
卷 25, 期 1, 页码 1-13出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.mri.2006.09.006
关键词
DCE-MRI; ADC; neoadjuvant chemotherapy; fast-exchange regime
资金
- NATIONAL CANCER INSTITUTE [R01CA109106, P30CA068485, R25CA092043] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING [K25EB005936] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE [R01NS034834] Funding Source: NIH RePORTER
- NCI NIH HHS [R01 CA109106, R25 CA092043, R01 CA109106-03, K25 CA168936, 1R25 CA92043, P30CA68485, P30 CA068485] Funding Source: Medline
- NIBIB NIH HHS [1K25 EB005936-01, K25 EB005936] Funding Source: Medline
- NINDS NIH HHS [R01 NS034834-08, R01 NS034834] Funding Source: Medline
- PHS HHS [1P50 098131-01] Funding Source: Medline
Purpose: The 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 Methods: Eleven 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 T-1, ADC and DCE-MRI data. DCE-MRI data were analyzed by the FXR model returning estimates of K-trans (volume transfer constant), v(e) (extravascular extracellular volume fraction) and tau(i) (average intracellular water lifetime). Histogram and correlation analyses assessed parameter changes post-treatment. Results: Significant (P <.05) changes or trends towards significance (P <.10) were seen in all parameters except tau(i), although there was qualitative reduction in tau(i) values post-treatment. In particular, there was reduction (P <.035) in voxels with K-trans values ill the range 0.2-0.5 min(-1) and a decrease (P <.05) in voxels with ADC values in the range 0.99 x 10(-3) to 1.35 x 10(-3) mm(2)/s. ADC and nu(e) were negatively correlated (r=-60, P <.02). Parameters sensitive to water distribution and geometry (T-1, nu(e), tau(i) and ADC) correlated with a multivariable linear regression model. Conclusion: The analysis presented here is sensitive to longitudinal changes in breast tumor status; K-trans and ADC are most sensitive to these changes. Relationships between parameters provide information on water distribution and geometry in the tumor environment. (c) 2007 Elsevier Inc. All rights reserved.
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