Literature DB >> 17148023

Diffusion imaging: insight to cell status and cytoarchitecture.

Thomas L Chenevert1, Pia C Sundgren, Brian D Ross.   

Abstract

Diffusion MR imaging techniques are based on the molecular mobility of water, which is sensitive to interaction with intracellular elements, macromolecules, cell membranes, the density of cells, and microstructural organization. Disease processes that alter cell-water homeostasis, cell density, and cytoarchitecture affect water mobility and are quantifiable by diffusion MR imaging methodologies. Similarly, therapeutic intervention that alters these properties may be monitored for efficacy via diffusion MR imaging. This article outlines basic technical concepts and applications of diffusion imaging with an emphasis on oncology.

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Year:  2006        PMID: 17148023     DOI: 10.1016/j.nic.2006.06.005

Source DB:  PubMed          Journal:  Neuroimaging Clin N Am        ISSN: 1052-5149            Impact factor:   2.264


  34 in total

Review 1.  Applications of molecular imaging.

Authors:  Craig J Galbán; Stefanie Galbán; Marcian E Van Dort; Gary D Luker; Mahaveer S Bhojani; Alnawaz Rehemtulla; Brian D Ross
Journal:  Prog Mol Biol Transl Sci       Date:  2010       Impact factor: 3.622

Review 2.  Diffusion tensor MR imaging and fiber tractography: theoretic underpinnings.

Authors:  P Mukherjee; J I Berman; S W Chung; C P Hess; R G Henry
Journal:  AJNR Am J Neuroradiol       Date:  2008-03-13       Impact factor: 3.825

3.  Correlation Between Aquaporin 4 Expression and Different DWI Parameters in Grade I Meningioma.

Authors:  Stefan Schob; Alexey Surov; Andreas Wienke; Hans Jonas Meyer; Rolf Peter Spielmann; Eckhard Fiedler
Journal:  Mol Imaging Biol       Date:  2017-02       Impact factor: 3.488

4.  Restriction spectrum imaging predicts response to bevacizumab in patients with high-grade glioma.

Authors:  Carrie R McDonald; Rachel L Delfanti; Anitha P Krishnan; Kelly M Leyden; Jona A Hattangadi-Gluth; Tyler M Seibert; Roshan Karunamuni; Pia Elbe; Joshua M Kuperman; Hauke Bartsch; David E Piccioni; Nathan S White; Anders M Dale; Nikdokht Farid
Journal:  Neuro Oncol       Date:  2016-04-21       Impact factor: 12.300

5.  Apparent diffusion coefficient histogram analysis stratifies progression-free and overall survival in patients with recurrent GBM treated with bevacizumab: a multi-center study.

Authors:  Whitney B Pope; Xin Joe Qiao; Hyun J Kim; Albert Lai; Phioanh Nghiemphu; Xi Xue; Benjamin M Ellingson; David Schiff; Dawit Aregawi; Soonmee Cha; Vinay K Puduvalli; Jing Wu; Wai-Kwan A Yung; Geoffrey S Young; James Vredenburgh; Dan Barboriak; Lauren E Abrey; Tom Mikkelsen; Rajan Jain; Nina A Paleologos; Patricia Lada; Michael Prados; Jonathan Goldin; Patrick Y Wen; Timothy Cloughesy
Journal:  J Neurooncol       Date:  2012-03-18       Impact factor: 4.130

6.  Apparent diffusion coefficient changes predict survival after intra-arterial bevacizumab treatment in recurrent glioblastoma.

Authors:  Naveen Galla; Gloria Chiang; Shamik Chakraborty; Ranjodh Singh; A John Tsiouris; John Boockvar; Ilhami Kovanlikaya
Journal:  Neuroradiology       Date:  2017-03-25       Impact factor: 2.804

7.  OKN-007 decreases tumor necrosis and tumor cell proliferation and increases apoptosis in a preclinical F98 rat glioma model.

Authors:  Patricia Coutinho de Souza; Krithika Balasubramanian; Charity Njoku; Natalyia Smith; David L Gillespie; Andrea Schwager; Osama Abdullah; Jerry W Ritchey; Kar-Ming Fung; Debra Saunders; Randy L Jensen; Rheal A Towner
Journal:  J Magn Reson Imaging       Date:  2015-04-29       Impact factor: 4.813

8.  Advanced MRI: translation from animal to human in brain tumor research.

Authors:  Bradford A Moffat; Craig J Galbán; Alnawaz Rehemtulla
Journal:  Neuroimaging Clin N Am       Date:  2009-11       Impact factor: 2.264

9.  Predictive significance of mean apparent diffusion coefficient value for responsiveness of temozolomide-refractory malignant glioma to bevacizumab: preliminary report.

Authors:  Motoo Nagane; Keiichi Kobayashi; Masaki Tanaka; Kazuhiro Tsuchiya; Yukiko Shishido-Hara; Saki Shimizu; Yoshiaki Shiokawa
Journal:  Int J Clin Oncol       Date:  2013-01-26       Impact factor: 3.402

Review 10.  Diffusion MRI in early cancer therapeutic response assessment.

Authors:  C J Galbán; B A Hoff; T L Chenevert; B D Ross
Journal:  NMR Biomed       Date:  2016-01-15       Impact factor: 4.044

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