Literature DB >> 21190804

Earlier detection of tumor treatment response using magnetic resonance diffusion imaging with oscillating gradients.

Daniel C Colvin1, Mary E Loveless, Mark D Does, Zou Yue, Thomas E Yankeelov, John C Gore.   

Abstract

An improved method for detecting early changes in tumors in response to treatment, based on a modification of diffusion-weighted magnetic resonance imaging, has been demonstrated in an animal model. Early detection of therapeutic response in tumors is important both clinically and in pre-clinical assessments of novel treatments. Noninvasive imaging methods that can detect and assess tumor response early in the course of treatment, and before frank changes in tumor morphology are evident, are of considerable interest as potential biomarkers of treatment efficacy. Diffusion-weighted magnetic resonance imaging is sensitive to changes in water diffusion rates in tissues that result from structural variations in the local cellular environment, but conventional methods mainly reflect changes in tissue cellularity and do not convey information specific to microstructural variations at sub-cellular scales. We implemented a modified imaging technique using oscillating gradients of the magnetic field for evaluating water diffusion rates over very short spatial scales that are more specific for detecting changes in intracellular structure that may precede changes in cellularity. Results from a study of orthotopic 9L gliomas in rat brains indicate that this method can detect changes as early as 24 h following treatment with 1,3-bis(2-chloroethyl)-1-nitrosourea, when conventional approaches do not find significant effects. These studies suggest that diffusion imaging using oscillating gradients may be used to obtain an earlier indication of treatment efficacy than previous magnetic resonance imaging methods.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 21190804      PMCID: PMC3285502          DOI: 10.1016/j.mri.2010.10.003

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


  41 in total

1.  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

2.  Dynamic contrast-enhanced and diffusion MRI show rapid and dramatic changes in tumor microenvironment in response to inhibition of HIF-1alpha using PX-478.

Authors:  Bénédicte F Jordan; Matthew Runquist; Natarajan Raghunand; Amanda Baker; Ryan Williams; Lynn Kirkpatrick; Garth Powis; Robert J Gillies
Journal:  Neoplasia       Date:  2005-05       Impact factor: 5.715

3.  Contributions of cell kill and posttreatment tumor growth rates to the repopulation of intracerebral 9L tumors after chemotherapy: an MRI study.

Authors:  B D Ross; Y J Zhao; E R Neal; L D Stegman; M Ercolani; O Ben-Yoseph; T L Chenevert
Journal:  Proc Natl Acad Sci U S A       Date:  1998-06-09       Impact factor: 11.205

4.  Changes in water mobility measured by diffusion MRI predict response of metastatic breast cancer to chemotherapy.

Authors:  Rebecca J Theilmann; Rebecca Borders; Theodore P Trouard; Guowei Xia; Eric Outwater; James Ranger-Moore; Robert J Gillies; Alison Stopeck
Journal:  Neoplasia       Date:  2004 Nov-Dec       Impact factor: 5.715

Review 5.  Antivascular cancer treatments: functional assessments by dynamic contrast-enhanced magnetic resonance imaging.

Authors:  A R Padhani; M O Leach
Journal:  Abdom Imaging       Date:  2005 May-Jun

6.  Nuclear size distinguishes low- from high-grade ovarian serous carcinoma and predicts outcome.

Authors:  Chih-Yi Hsu; Robert J Kurman; Russell Vang; Tian-Li Wang; Jan Baak; Ie-Ming Shih
Journal:  Hum Pathol       Date:  2005-09-08       Impact factor: 3.466

7.  Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma.

Authors:  Roger Stupp; Warren P Mason; Martin J van den Bent; Michael Weller; Barbara Fisher; Martin J B Taphoorn; Karl Belanger; Alba A Brandes; Christine Marosi; Ulrich Bogdahn; Jürgen Curschmann; Robert C Janzer; Samuel K Ludwin; Thierry Gorlia; Anouk Allgeier; Denis Lacombe; J Gregory Cairncross; Elizabeth Eisenhauer; René O Mirimanoff
Journal:  N Engl J Med       Date:  2005-03-10       Impact factor: 91.245

8.  Growth kinetics and treatment response of the intracerebral rat 9L brain tumor model: a quantitative in vivo study using magnetic resonance imaging.

Authors:  B Kim; T L Chenevert; B D Ross
Journal:  Clin Cancer Res       Date:  1995-06       Impact factor: 12.531

9.  Phase II trial of recombinant interferon-alpha with BCNU, cisplatin, DTIC and tamoxifen in advanced malignant melanoma.

Authors:  L G Feun; N Savaraj; F Moffat; D Robinson; A Liebmann; J Hurley; W A Raub; S P Richman
Journal:  Melanoma Res       Date:  1995-08       Impact factor: 3.599

10.  Early detection of treatment response by diffusion-weighted 1H-NMR spectroscopy in a murine tumour in vivo.

Authors:  M Zhao; J G Pipe; J Bonnett; J L Evelhoch
Journal:  Br J Cancer       Date:  1996-01       Impact factor: 7.640

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  19 in total

1.  Predicting in vivo glioma growth with the reaction diffusion equation constrained by quantitative magnetic resonance imaging data.

Authors:  David A Hormuth; Jared A Weis; Stephanie L Barnes; Michael I Miga; Erin C Rericha; Vito Quaranta; Thomas E Yankeelov
Journal:  Phys Biol       Date:  2015-06-04       Impact factor: 2.583

2.  Imaging neurodegeneration in the mouse hippocampus after neonatal hypoxia-ischemia using oscillating gradient diffusion MRI.

Authors:  Manisha Aggarwal; Jennifer Burnsed; Lee J Martin; Frances J Northington; Jiangyang Zhang
Journal:  Magn Reson Med       Date:  2013-10-04       Impact factor: 4.668

3.  Quantification of cell size using temporal diffusion spectroscopy.

Authors:  Xiaoyu Jiang; Hua Li; Jingping Xie; Ping Zhao; John C Gore; Junzhong Xu
Journal:  Magn Reson Med       Date:  2015-04-04       Impact factor: 4.668

4.  Incorporation of diffusion-weighted magnetic resonance imaging data into a simple mathematical model of tumor growth.

Authors:  N C Atuegwu; D C Colvin; M E Loveless; L Xu; J C Gore; T E Yankeelov
Journal:  Phys Med Biol       Date:  2012-01-07       Impact factor: 3.609

5.  Structural information revealed by the dispersion of ADC with frequency.

Authors:  Hua Li; Xiaoyu Jiang; Feng Wang; Junzhong Xu; John C Gore
Journal:  Magn Reson Imaging       Date:  2015-06-24       Impact factor: 2.546

6.  Fast and robust measurement of microstructural dimensions using temporal diffusion spectroscopy.

Authors:  Hua Li; John C Gore; Junzhong Xu
Journal:  J Magn Reson       Date:  2014-02-19       Impact factor: 2.229

7.  Selection and Validation of Predictive Models of Radiation Effects on Tumor Growth Based on Noninvasive Imaging Data.

Authors:  E A B F Lima; J T Oden; B Wohlmuth; A Shahmoradi; D A Hormuth; T E Yankeelov; L Scarabosio; T Horger
Journal:  Comput Methods Appl Mech Eng       Date:  2017-08-18       Impact factor: 6.756

8.  In vivo investigation of restricted diffusion in the human brain with optimized oscillating diffusion gradient encoding.

Authors:  Anh T Van; Samantha J Holdsworth; Roland Bammer
Journal:  Magn Reson Med       Date:  2013-02-27       Impact factor: 4.668

9.  Macrophages as a potential tumor-microenvironment target for noninvasive imaging of early response to anticancer therapy.

Authors:  Qizhen Cao; Xinrui Yan; Kai Chen; Qian Huang; Marites P Melancon; Gabriel Lopez; Zhen Cheng; Chun Li
Journal:  Biomaterials       Date:  2017-10-21       Impact factor: 12.479

10.  In vivo imaging of cancer cell size and cellularity using temporal diffusion spectroscopy.

Authors:  Xiaoyu Jiang; Hua Li; Jingping Xie; Eliot T McKinley; Ping Zhao; John C Gore; Junzhong Xu
Journal:  Magn Reson Med       Date:  2016-08-06       Impact factor: 4.668

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