Literature DB >> 19850765

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.

S J Mills1, C Soh, C J Rose, S Cheung, S Zhao, G J M Parker, A Jackson.   

Abstract

BACKGROUND AND
PURPOSE: ADC measurements have been shown to have an inverse relationship with tumor cell density. DCE-MR imaging modeling techniques can produce a measurement of the v(e), which would also be expected to have an inverse relationship with cell density. The objective of this study was to test the hypothesis that areas of increased cellularity, and therefore low ADC, would be expected to have a small EES (low v(e)).
MATERIALS AND METHODS: Nineteen patients with GBM were recruited. All imaging was performed before surgery on a 3T MR imaging scanner. Imaging included diffusion tensor imaging, T1-weighted DCE-MR imaging, and anatomic sequences. Tumor VOIs were defined on the anatomic images and modified to contain only enhancing voxels. Parametric maps of ADC and v(e) were generated. Statistical analysis of ADC and v(e) was performed on both a voxel-by-voxel basis and comparison of median values.
RESULTS: No correlation was demonstrated between ADC and v(e) in either a voxel-by-voxel analysis or comparison of median values (P = .124).
CONCLUSIONS: This study failed to demonstrate a correlation between ADC and v(e). This is important because it suggests that though the mechanisms underlying these parameters are theoretically similar, they actually reflect different aspects of tumor microenvironment. Consequently ADC and v(e) should be considered to provide independent information about the properties of the EES.

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Year:  2009        PMID: 19850765      PMCID: PMC7963970          DOI: 10.3174/ajnr.A1844

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  36 in total

1.  Diffusion-weighted half-Fourier single-shot turbo spin echo imaging in breast tumors: differentiation of invasive ductal carcinoma from fibroadenoma.

Authors:  Takahiro Kinoshita; Naobumi Yashiro; Nobumaro Ihara; Hiroyuki Funatu; Eisuke Fukuma; Makoto Narita
Journal:  J Comput Assist Tomogr       Date:  2002 Nov-Dec       Impact factor: 1.826

2.  Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas.

Authors:  T Sugahara; Y Korogi; M Kochi; I Ikushima; Y Shigematu; T Hirai; T Okuda; L Liang; Y Ge; Y Komohara; Y Ushio; M Takahashi
Journal:  J Magn Reson Imaging       Date:  1999-01       Impact factor: 4.813

3.  A model for diffusion in white matter in the brain.

Authors:  Pabitra N Sen; Peter J Basser
Journal:  Biophys J       Date:  2005-08-12       Impact factor: 4.033

4.  MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders.

Authors:  D Le Bihan; E Breton; D Lallemand; P Grenier; E Cabanis; M Laval-Jeantet
Journal:  Radiology       Date:  1986-11       Impact factor: 11.105

5.  Diffusion-weighted imaging of breast cancer with the sensitivity encoding technique: analysis of the apparent diffusion coefficient value.

Authors:  Yoshifumi Kuroki; Katsuhiro Nasu; Seiko Kuroki; Koji Murakami; Takayuki Hayashi; Ryuzou Sekiguchi; Shigeru Nawano
Journal:  Magn Reson Med Sci       Date:  2004-07-15       Impact factor: 2.471

6.  Diffusion magnetic resonance imaging: an early surrogate marker of therapeutic efficacy in brain tumors.

Authors:  T L Chenevert; L D Stegman; J M Taylor; P L Robertson; H S Greenberg; A Rehemtulla; B D Ross
Journal:  J Natl Cancer Inst       Date:  2000-12-20       Impact factor: 13.506

Review 7.  Extracellular gadolinium-based contrast media: an overview.

Authors:  Marie-France Bellin; Aart J Van Der Molen
Journal:  Eur J Radiol       Date:  2008-03-20       Impact factor: 3.528

8.  Differences in blood-tumour-barrier leakage of human intracranial tumours: quantitative monitoring of vasogenic oedema and its response to glucocorticoid treatment.

Authors:  C Andersen; F T Jensen
Journal:  Acta Neurochir (Wien)       Date:  1998       Impact factor: 2.216

9.  Effects of dexamethasone on cerebral perfusion and water diffusion in patients with high-grade glioma.

Authors:  M E Bastin; T K Carpenter; P A Armitage; S Sinha; J M Wardlaw; I R Whittle
Journal:  AJNR Am J Neuroradiol       Date:  2006-02       Impact factor: 3.825

10.  In vivo MR determination of water diffusion coefficients and diffusion anisotropy: correlation with structural alteration in gliomas of the cerebral hemispheres.

Authors:  J A Brunberg; T L Chenevert; P E McKeever; D A Ross; L R Junck; K M Muraszko; R Dauser; J G Pipe; A T Betley
Journal:  AJNR Am J Neuroradiol       Date:  1995-02       Impact factor: 3.825

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  29 in total

1.  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

2.  Dynamic contrast-enhanced MR imaging pharmacokinetic parameters as predictors of treatment response of brain metastases in patients with lung cancer.

Authors:  Grégory Kuchcinski; Emilie Le Rhun; Alexis B Cortot; Elodie Drumez; Romain Duhal; Maxime Lalisse; Julien Dumont; Renaud Lopes; Jean-Pierre Pruvo; Xavier Leclerc; Christine Delmaire
Journal:  Eur Radiol       Date:  2017-02-16       Impact factor: 5.315

3.  Quantitative pharmacokinetic analysis of prostate cancer DCE-MRI at 3T: comparison of two arterial input functions on cancer detection with digitized whole mount histopathological validation.

Authors:  Fiona M Fennessy; Andriy Fedorov; Tobias Penzkofer; Kyung Won Kim; Michelle S Hirsch; Mark G Vangel; Paul Masry; Trevor A Flood; Ming-Ching Chang; Clare M Tempany; Robert V Mulkern; Sandeep N Gupta
Journal:  Magn Reson Imaging       Date:  2015-02-14       Impact factor: 2.546

4.  Soft tissue sarcoma: DWI and DCE-MRI parameters correlate with Ki-67 labeling index.

Authors:  Ji Hyun Lee; Young Cheol Yoon; Sung Wook Seo; Yoon-La Choi; Hyun Su Kim
Journal:  Eur Radiol       Date:  2019-10-18       Impact factor: 5.315

Review 5.  Advanced magnetic resonance imaging of the physical processes in human glioblastoma.

Authors:  Jayashree Kalpathy-Cramer; Elizabeth R Gerstner; Kyrre E Emblem; Ovidiu Andronesi; Bruce Rosen
Journal:  Cancer Res       Date:  2014-09-01       Impact factor: 12.701

6.  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

7.  Discrimination between benign and malignant breast lesions using volumetric quantitative dynamic contrast-enhanced MR imaging.

Authors:  Ziliang Cheng; Zhuo Wu; Guangzi Shi; Zhilong Yi; Mingwei Xie; Weike Zeng; Chao Song; Chushan Zheng; Jun Shen
Journal:  Eur Radiol       Date:  2017-09-19       Impact factor: 5.315

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

Authors:  Lori R Arlinghaus; Xia Li; A Ridwan Rahman; E Brian Welch; Lei Xu; John C Gore; Thomas E Yankeelov
Journal:  Magn Reson Imaging       Date:  2011-04-29       Impact factor: 2.546

9.  Correlation of MRI-derived apparent diffusion coefficients in newly diagnosed gliomas with [18F]-fluoro-L-dopa PET: what are we really measuring with minimum ADC?

Authors:  S Rose; M Fay; P Thomas; P Bourgeat; N Dowson; O Salvado; Y Gal; A Coulthard; S Crozier
Journal:  AJNR Am J Neuroradiol       Date:  2012-10-18       Impact factor: 3.825

10.  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
Journal:  NMR Biomed       Date:  2015-08-30       Impact factor: 4.044

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