Integration of quantitative DCE-MRI and ADC mapping to monitor treatment response in human breast cancer: initial results.

Integration of quantitative DCE-MRI and ADC mapping to monitor treatment response in human breast cancer: initial results. Research Abstract Details 

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Integration of quantitative DCE-MRI and ADC mapping to monitor treatment response in human breast cancer: initial results. Abstract Text:

Thomas E Yankeelov,Martin Lepage,Anuradha Chakravarthy,Elizabeth E Broome,Kenneth J Niermann,Mark C Kelley,Ingrid Meszoely,Ingrid A Mayer,Cheryl R Herman,Kevin McManus,Ronald R Price,John C Gore,

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 T1, 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 in 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) mm2/s. ADC and v(e) were negatively correlated (r = -.60, P < .02). Parameters sensitive to water distribution and geometry (T(1), v(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.

Integration of quantitative DCE-MRI and ADC mapping to monitor treatment response in human breast cancer: initial results. Publishing Authors By Initials

TE Yankeelov,M Lepage,A Chakravarthy,EE Broome,KJ Niermann,MC Kelley,I Meszoely,IA Mayer,CR Herman,K McManus,RR Price,JC Gore,

For similar investigative techniques: epidemiologic methods: epidemiologic study characteristics as topic: pilot projects research abstracts see: investigative techniques: epidemiologic methods: epidemiologic study characteristics as topic: pilot projects research

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Integration of quantitative DCE-MRI and ADC mapping to monitor treatment response in human breast cancer: initial results. Journal Published:

PUBLICATION TYPE: Research Support, N.I.H., Extr

Journal: Magnetic resonance imaging

VOLUME: 25

Page Numbers: 1-13

Journal Abbreviation:

ISSN: 0730-725X

DAY: 21

MONTH: 11

YEAR: 2006

Integration of quantitative DCE-MRI and ADC mapping to monitor treatment response in human breast cancer: initial results. Information

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LANGUAGE: eng

NlmUniqueID: 8214883

Integration of quantitative DCE-MRI and ADC mapping to monitor treatment response in human breast cancer: initial results. Keywords Mesh Terms:

KEYWORDS: Pilot Projects

MESH TERMS: statistics & numerical data

Chemical & Substance for Abstract: Integration of quantitative DCE-MRI and ADC mapping to monitor treatment response in human breast cancer: initial results. Information

Substance Name: Contrast Media

Registry Number: 0

Grant and Affiliation Information for Integration of quantitative DCE-MRI and ADC mapping to monitor treatment response in human breast cancer: initial results.

AFFILIATION: Institute of Imaging Science, Vanderbilt University, Nashville, TN 37232-2310, USA. thomas.yankeelov@vanderbilt.edu

Country: United States

AGENCY: United States NCI

GRANT: P30CA68485

ACRONYM: CA

MEDLINETA: Magn Reson Imaging

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