Literature DB >> 21531106

On the relationship between the apparent diffusion coefficient and extravascular extracellular volume fraction in human breast cancer.

Lori R Arlinghaus1, Xia Li, A Ridwan Rahman, E Brian Welch, Lei Xu, John C Gore, Thomas E Yankeelov.   

Abstract

MRI techniques have been developed that can noninvasively probe the apparent diffusion coefficient (ADC) of water via diffusion-weighted MRI (DW-MRI). These methods have found much application in cancer where it is often found that the ADC within tumors is inversely correlated with tumor cell density, so that an increase in ADC in response to therapy can be interpreted as an imaging biomarker of positive treatment response. Dynamic contrast enhanced MRI (DCE-MRI) methods have also been developed and can noninvasively report on the extravascular extracellular volume fraction of tissues (denoted by v(e)). By conventional reasoning, the ADC should therefore also be directly proportional to v(e). Here we report measurements of both ADC and v(e) obtained from breast cancer patients at both 1.5 and 3.0 T. The 1.5-T data were acquired as part of normal standard of care, while the 3.0-T data were obtained from a dedicated research protocol. We found no statistically significant correlation between ADC and v(e) for the 1.5- or 3.0-T patient sets on either a voxel-by-voxel or a region-of-interest (ROI) basis. These data, combined with similar results from other disease sites in the literature, may indicate that the conventional interpretation of either ADC, v(e) or their relationship is not sufficient to explain experimental findings.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21531106      PMCID: PMC3100356          DOI: 10.1016/j.mri.2011.02.004

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  25 in total

1.  Effects of cell volume fraction changes on apparent diffusion in human cells.

Authors:  A W Anderson; J Xie; J Pizzonia; R A Bronen; D D Spencer; J C Gore
Journal:  Magn Reson Imaging       Date:  2000-07       Impact factor: 2.546

2.  Dynamic contrast-enhanced magnetic resonance imaging of human cervical carcinoma xenografts: pharmacokinetic analysis and correlation to tumor histomorphology.

Authors:  Christine Ellingsen; Tormod A M Egeland; Kanthi Galappathi; Einar K Rofstad
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3.  Measurement of the blood-brain barrier permeability and leakage space using dynamic MR imaging. 1. Fundamental concepts.

Authors:  P S Tofts; A G Kermode
Journal:  Magn Reson Med       Date:  1991-02       Impact factor: 4.668

4.  Candidate biomarkers of extravascular extracellular space: a direct comparison of apparent diffusion coefficient and dynamic contrast-enhanced MR imaging--derived measurement of the volume of the extravascular extracellular space in glioblastoma multiforme.

Authors:  S J Mills; C Soh; C J Rose; S Cheung; S Zhao; G J M Parker; A Jackson
Journal:  AJNR Am J Neuroradiol       Date:  2009-10-22       Impact factor: 3.825

5.  Apparent diffusion coefficient values for discriminating benign and malignant breast MRI lesions: effects of lesion type and size.

Authors:  Savannah C Partridge; Christiane D Mullins; Brenda F Kurland; Michael D Allain; Wendy B DeMartini; Peter R Eby; Constance D Lehman
Journal:  AJR Am J Roentgenol       Date:  2010-06       Impact factor: 3.959

6.  Diffusion-weighted imaging improves the diagnostic accuracy of conventional 3.0-T breast MR imaging.

Authors:  Riham H Ei Khouli; Michael A Jacobs; Sarah D Mezban; Peng Huang; Ihab R Kamel; Katarzyna J Macura; David A Bluemke
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7.  Monitoring breast cancer response to neoadjuvant systemic chemotherapy using parametric contrast-enhanced MRI: a pilot study.

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8.  MRI-measured water mobility increases in response to chemotherapy via multiple cell-death mechanisms.

Authors:  David L Morse; Jean-Philippe Galons; Claire M Payne; Dominique L Jennings; Sam Day; Guowei Xia; Robert J Gillies
Journal:  NMR Biomed       Date:  2007-10       Impact factor: 4.044

9.  Dynamic contrast-enhanced magnetic resonance imaging of tumors: preclinical validation of parametric images.

Authors:  Tormod A M Egeland; Trude G Simonsen; Jon-Vidar Gaustad; Kristine Gulliksrud; Christine Ellingsen; Einar K Rofstad
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10.  Quantitative analysis of dynamic Gd-DTPA enhancement in breast tumors using a permeability model.

Authors:  P S Tofts; B Berkowitz; M D Schnall
Journal:  Magn Reson Med       Date:  1995-04       Impact factor: 4.668

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  17 in total

1.  Response of HT29 colorectal xenograft model to cediranib assessed with 18 F-fluoromisonidazole positron emission tomography, dynamic contrast-enhanced and diffusion-weighted MRI.

Authors:  Louisa Bokacheva; Khushali Kotedia; Megan Reese; Sally-Ann Ricketts; Jane Halliday; Carl H Le; Jason A Koutcher; Sean Carlin
Journal:  NMR Biomed       Date:  2012-07-08       Impact factor: 4.044

2.  Unified platform for multimodal voxel-based analysis to evaluate tumour perfusion and diffusion characteristics before and after radiation treatment evaluated in metastatic brain cancer.

Authors:  Catherine Coolens; Brandon Driscoll; Warren Foltz; Igor Svistoun; Noha Sinno; Caroline Chung
Journal:  Br J Radiol       Date:  2019-02-26       Impact factor: 3.039

3.  Longitudinal, intermodality registration of quantitative breast PET and MRI data acquired before and during neoadjuvant chemotherapy: preliminary results.

Authors:  Nkiruka C Atuegwu; Xia Li; Lori R Arlinghaus; Richard G Abramson; Jason M Williams; A Bapsi Chakravarthy; Vandana G Abramson; Thomas E Yankeelov
Journal:  Med Phys       Date:  2014-05       Impact factor: 4.071

4.  Quantifying myofiber integrity using diffusion MRI and random permeable barrier modeling in skeletal muscle growth and Duchenne muscular dystrophy model in mice.

Authors:  Kerryanne V Winters; Olivier Reynaud; Dmitry S Novikov; Els Fieremans; Sungheon Gene Kim
Journal:  Magn Reson Med       Date:  2018-03-25       Impact factor: 4.668

5.  Comparison of dynamic contrast-enhanced MRI and quantitative SPECT in a rat glioma model.

Authors:  Jack T Skinner; Thomas E Yankeelov; Todd E Peterson; Mark D Does
Journal:  Contrast Media Mol Imaging       Date:  2012 Nov-Dec       Impact factor: 3.161

6.  Surface-to-volume ratio mapping of tumor microstructure using oscillating gradient diffusion weighted imaging.

Authors:  Olivier Reynaud; Kerryanne Veronica Winters; Dung Minh Hoang; Youssef Zaim Wadghiri; Dmitry S Novikov; Sungheon Gene Kim
Journal:  Magn Reson Med       Date:  2015-07-24       Impact factor: 4.668

7.  Correlation of tumor characteristics derived from DCE-MRI and DW-MRI with histology in murine models of breast cancer.

Authors:  Stephanie L Barnes; Anna G Sorace; Mary E Loveless; Jennifer G Whisenant; Thomas E Yankeelov
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Review 8.  Diffusion MRI in early cancer therapeutic response assessment.

Authors:  C J Galbán; B A Hoff; T L Chenevert; B D Ross
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9.  Apparent diffusion coefficient mapping using diffusion-weighted MRI: impact of background parenchymal enhancement, amount of fibroglandular tissue and menopausal status on breast cancer diagnosis.

Authors:  Joao V Horvat; Manuela Durando; Soledad Milans; Sujata Patil; Jessica Massler; Girard Gibbons; Dilip Giri; Katja Pinker; Elizabeth A Morris; Sunitha B Thakur
Journal:  Eur Radiol       Date:  2018-01-12       Impact factor: 5.315

10.  Practical dynamic contrast enhanced MRI in small animal models of cancer: data acquisition, data analysis, and interpretation.

Authors:  Stephanie L Barnes; Jennifer G Whisenant; Mary E Loveless; Thomas E Yankeelov
Journal:  Pharmaceutics       Date:  2012       Impact factor: 6.321

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