Literature DB >> 23936625

Diffusion-weighted MRI as a biomarker for treatment response in glioma.

Kathleen M Schmainda.   

Abstract

Diffusion-weighted imaging (DWI) is a powerful MRI method, which probes abnormalities of tissue structure by detecting microscopic changes in water mobility at a cellular level beyond what is available with other imaging techniques. Accordingly, DWI has the potential to identify pathology before gross anatomic changes are evident on standard anatomical brain images. These features of tissue characterization and earlier detection are what make DWI particularly appealing for the evaluation of gliomas and the newer therapies where standard anatomical imaging is proving insufficient. This article focuses on the basic principles and applications of DWI, and its derived parameter, the apparent diffusion coefficient, for the purposes of diagnosis and evaluation of glioma, especially in the context of monitoring response to therapy.

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Year:  2012        PMID: 23936625      PMCID: PMC3734866          DOI: 10.2217/cns.12.25

Source DB:  PubMed          Journal:  CNS Oncol        ISSN: 2045-0907


  48 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.  Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging.

Authors:  D Le Bihan; E Breton; D Lallemand; M L Aubin; J Vignaud; M Laval-Jeantet
Journal:  Radiology       Date:  1988-08       Impact factor: 11.105

3.  Inhibition of glioma angiogenesis and growth in vivo by systemic treatment with a monoclonal antibody against vascular endothelial growth factor receptor-2.

Authors:  P Kunkel; U Ulbricht; P Bohlen; M A Brockmann; R Fillbrandt; D Stavrou; M Westphal; K Lamszus
Journal:  Cancer Res       Date:  2001-09-15       Impact factor: 12.701

4.  Evaluation of the functional diffusion map as an early biomarker of time-to-progression and overall survival in high-grade glioma.

Authors:  Daniel A Hamstra; Thomas L Chenevert; Bradford A Moffat; Timothy D Johnson; Charles R Meyer; Suresh K Mukherji; Douglas J Quint; Stephen S Gebarski; Xiaoying Fan; Christina I Tsien; Theodore S Lawrence; Larry Junck; Alnawaz Rehemtulla; Brian D Ross
Journal:  Proc Natl Acad Sci U S A       Date:  2005-11-02       Impact factor: 11.205

5.  Standardization of relative cerebral blood volume (rCBV) image maps for ease of both inter- and intrapatient comparisons.

Authors:  Devyani Bedekar; Todd Jensen; Kathleen M Schmainda
Journal:  Magn Reson Med       Date:  2010-09       Impact factor: 4.668

Review 6.  Pseudoprogression and pseudoresponse in the treatment of gliomas.

Authors:  Dieta Brandsma; Martin J van den Bent
Journal:  Curr Opin Neurol       Date:  2009-12       Impact factor: 5.710

7.  Apparent diffusion coefficient and cerebral blood volume in brain gliomas: relation to tumor cell density and tumor microvessel density based on stereotactic biopsies.

Authors:  N Sadeghi; N D'Haene; C Decaestecker; M Levivier; T Metens; C Maris; D Wikler; D Baleriaux; I Salmon; S Goldman
Journal:  AJNR Am J Neuroradiol       Date:  2007-12-13       Impact factor: 3.825

Review 8.  Invasion as limitation to anti-angiogenic glioma therapy.

Authors:  K Lamszus; P Kunkel; M Westphal
Journal:  Acta Neurochir Suppl       Date:  2003

9.  Diffusion-weighted imaging-based probabilistic segmentation of high- and low-proliferative areas in high-grade gliomas.

Authors:  Dirk Simon; Klaus H Fritzsche; Christian Thieke; Jan Klein; Peter Parzer; Marc-André Weber; Bram Stieltjes
Journal:  Cancer Imaging       Date:  2012-04-05       Impact factor: 3.909

10.  DW-MRI as a biomarker to compare therapeutic outcomes in radiotherapy regimens incorporating temozolomide or gemcitabine in glioblastoma.

Authors:  Stefanie Galbán; Benjamin Lemasson; Terence M Williams; Fei Li; Kevin A Heist; Timothy D Johnson; Judith S Leopold; Thomas L Chenevert; Theodore S Lawrence; Alnawaz Rehemtulla; Tom Mikkelsen; Eric C Holland; Craig J Galbán; Brian D Ross
Journal:  PLoS One       Date:  2012-04-20       Impact factor: 3.240

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  20 in total

1.  Relation of apparent diffusion coefficient with Ki-67 proliferation index in meningiomas.

Authors:  Ozdil Baskan; Gokalp Silav; Fatih Han Bolukbasi; Ozlem Canoz; Serdar Geyik; Ilhan Elmaci
Journal:  Br J Radiol       Date:  2015-11-05       Impact factor: 3.039

Review 2.  Mechanism-Based Modeling of Tumor Growth and Treatment Response Constrained by Multiparametric Imaging Data.

Authors:  David A Hormuth; Angela M Jarrett; Ernesto A B F Lima; Matthew T McKenna; David T Fuentes; Thomas E Yankeelov
Journal:  JCO Clin Cancer Inform       Date:  2019-02

3.  Stretched-exponential model diffusion-weighted imaging as a potential imaging marker in preoperative grading and assessment of proliferative activity of gliomas.

Authors:  Xiaowei Chen; Jingjing Jiang; Nanxi Shen; Lingyun Zhao; Jiaxuan Zhang; Yuanyuan Qin; Shun Zhang; Li Li; Wenzhen Zhu
Journal:  Am J Transl Res       Date:  2018-08-15       Impact factor: 4.060

Review 4.  Diffusion-weighted imaging in cancer: physical foundations and applications of restriction spectrum imaging.

Authors:  Nathan S White; Carrie McDonald; Carrie R McDonald; Niky Farid; Josh Kuperman; David Karow; Natalie M Schenker-Ahmed; Hauke Bartsch; Rebecca Rakow-Penner; Dominic Holland; Ahmed Shabaik; Atle Bjørnerud; Tuva Hope; Jona Hattangadi-Gluth; Michael Liss; J Kellogg Parsons; Clark C Chen; Steve Raman; Daniel Margolis; Robert E Reiter; Leonard Marks; Santosh Kesari; Arno J Mundt; Christopher J Kane; Christopher J Kaine; Bob S Carter; William G Bradley; Anders M Dale
Journal:  Cancer Res       Date:  2014-09-01       Impact factor: 12.701

5.  TSPO-PET and diffusion-weighted MRI for imaging a mouse model of infiltrative human glioma.

Authors:  Hayet Pigeon; Elodie A Pérès; Charles Truillet; Benoit Jego; Fawzi Boumezbeur; Fabien Caillé; Bastian Zinnhardt; Andreas H Jacobs; Denis Le Bihan; Alexandra Winkeler
Journal:  Neuro Oncol       Date:  2019-06-10       Impact factor: 12.300

6.  Treatment-related changes in neuroendocrine tumors as assessed by textural features derived from 68Ga-DOTATOC PET/MRI with simultaneous acquisition of apparent diffusion coefficient.

Authors:  Manuel Weber; Lukas Kessler; Benedikt Schaarschmidt; Wolfgang Peter Fendler; Harald Lahner; Gerald Antoch; Lale Umutlu; Ken Herrmann; Christoph Rischpler
Journal:  BMC Cancer       Date:  2020-04-16       Impact factor: 4.430

7.  A longitudinal magnetic resonance elastography study of murine brain tumors following radiation therapy.

Authors:  Y Feng; E H Clayton; R J Okamoto; J Engelbach; P V Bayly; J R Garbow
Journal:  Phys Med Biol       Date:  2016-07-27       Impact factor: 3.609

8.  Comparison of perfusion- and diffusion-weighted imaging parameters in brain tumor studies processed using different software platforms.

Authors:  Mikhail V Milchenko; Dhanashree Rajderkar; Pamela LaMontagne; Parinaz Massoumzadeh; Ronald Bogdasarian; Gordon Schweitzer; Tammie Benzinger; Dan Marcus; Joshua S Shimony; Sarah Jost Fouke
Journal:  Acad Radiol       Date:  2014-08-01       Impact factor: 3.173

Review 9.  Clinical PET/MRI in neurooncology: opportunities and challenges from a single-institution perspective.

Authors:  Lisbeth Marner; Otto M Henriksen; Michael Lundemann; Vibeke Andrée Larsen; Ian Law
Journal:  Clin Transl Imaging       Date:  2016-11-18

10.  Value of Minimum Apparent Diffusion Coefficient on Magnetic Resonance Imaging as a Biomarker for Predicting Progression of Disease Following Surgery and Radiotherapy in Glial Tumors from a Tertiary Care Center in Northern India.

Authors:  Pramod Kumar Gupta; Rishi Awasthi; Shalini Singh; Sanjay Behari; K J Maria Das; Rakesh Kumar Gupta; Shaleen Kumar
Journal:  J Neurosci Rural Pract       Date:  2017 Apr-Jun
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