Literature DB >> 10930778

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

A W Anderson1, J Xie, J Pizzonia, R A Bronen, D D Spencer, J C Gore.   

Abstract

Diffusion-weighted imaging was used to study the relationship between apparent diffusion coefficient (ADC) and cell volume fraction in cell suspensions and packed arrays. Cell volume fraction was varied by changing extracellular fluid osmolarity (for human glial cells) and by changing cell density (for human glial and red blood cells). In packed arrays of glial cells, ADC increased 10% when cells shrank and decreased 13% when cells swelled. ADC decreased 34% as cell density increased from 0 to 72%. In erythrocyte suspensions, ADC decreased 90% as the cell density increased from 0 to 89%. These results agree with theoretical predictions.

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Year:  2000        PMID: 10930778     DOI: 10.1016/s0730-725x(00)00147-8

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


  79 in total

1.  Transient decrease in water diffusion observed in human occipital cortex during visual stimulation.

Authors:  A Darquié; J B Poline; C Poupon; H Saint-Jalmes; D Le Bihan
Journal:  Proc Natl Acad Sci U S A       Date:  2001-07-17       Impact factor: 11.205

2.  Integration of diffusion-weighted MRI data and a simple mathematical model to predict breast tumor cellularity during neoadjuvant chemotherapy.

Authors:  Nkiruka C Atuegwu; Lori R Arlinghaus; Xia Li; E Brian Welch; Bapsi A Chakravarthy; John C Gore; Thomas E Yankeelov
Journal:  Magn Reson Med       Date:  2011-09-28       Impact factor: 4.668

Review 3.  Diffusion-weighted MRI for assessment of early cancer treatment response.

Authors:  Stefanie Galbán; Jean-Christophe Brisset; Alnawaz Rehemtulla; Thomas L Chenevert; Brian D Ross; Craig J Galbán
Journal:  Curr Pharm Biotechnol       Date:  2010-09-01       Impact factor: 2.837

4.  Direct and fast detection of neuronal activation in the human brain with diffusion MRI.

Authors:  Denis Le Bihan; Shin-ichi Urayama; Toshihiko Aso; Takashi Hanakawa; Hidenao Fukuyama
Journal:  Proc Natl Acad Sci U S A       Date:  2006-05-15       Impact factor: 11.205

5.  Numerical study of water diffusion in biological tissues using an improved finite difference method.

Authors:  Junzhong Xu; Mark D Does; John C Gore
Journal:  Phys Med Biol       Date:  2007-03-12       Impact factor: 3.609

6.  Clinically relevant modeling of tumor growth and treatment response.

Authors:  Thomas E Yankeelov; Nkiruka Atuegwu; David Hormuth; Jared A Weis; Stephanie L Barnes; Michael I Miga; Erin C Rericha; Vito Quaranta
Journal:  Sci Transl Med       Date:  2013-05-29       Impact factor: 17.956

7.  Three-dimensional Image-based Mechanical Modeling for Predicting the Response of Breast Cancer to Neoadjuvant Therapy.

Authors:  Jared A Weis; Michael I Miga; Thomas E Yankeelov
Journal:  Comput Methods Appl Mech Eng       Date:  2016-09-01       Impact factor: 6.756

8.  Biophysical Modeling of In Vivo Glioma Response After Whole-Brain Radiation Therapy in a Murine Model of Brain Cancer.

Authors:  David A Hormuth; Jared A Weis; Stephanie L Barnes; Michael I Miga; Vito Quaranta; Thomas E Yankeelov
Journal:  Int J Radiat Oncol Biol Phys       Date:  2017-12-13       Impact factor: 7.038

9.  Analyzing Spatial Heterogeneity in DCE- and DW-MRI Parametric Maps to Optimize Prediction of Pathologic Response to Neoadjuvant Chemotherapy in Breast Cancer.

Authors:  Xia Li; Hakmook Kang; Lori R Arlinghaus; Richard G Abramson; A Bapsi Chakravarthy; Vandana G Abramson; Jaime Farley; Melinda Sanders; Thomas E Yankeelov
Journal:  Transl Oncol       Date:  2014-02-01       Impact factor: 4.243

10.  Assessing reproducibility of diffusion-weighted magnetic resonance imaging studies in a murine model of HER2+ breast cancer.

Authors:  Jennifer G Whisenant; Gregory D Ayers; Mary E Loveless; Stephanie L Barnes; Daniel C Colvin; Thomas E Yankeelov
Journal:  Magn Reson Imaging       Date:  2013-12-14       Impact factor: 2.546

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