Literature DB >> 17371718

Quantitative assessment of intracranial tumor response to dexamethasone using diffusion, perfusion and permeability magnetic resonance imaging.

Paul A Armitage1, Chris Schwindack, Mark E Bastin, Ian R Whittle.   

Abstract

There is increasing interest in obtaining quantitative imaging parameters to aid in the assessment of tumor responses to treatment. In this study, the feasibility of performing integrated diffusion, perfusion and permeability magnetic resonance imaging (MRI) for characterizing responses to dexamethasone in intracranial tumors was assessed. Eight patients with glioblastoma, five with meningioma and three with metastatic carcinoma underwent MRI prior to and 48-72 h following dexamethasone administration. The MRI protocol enabled quantification of the volume transfer constant (K(trans)), extracellular space volume fraction (nu(e)), plasma volume fraction (nu(p)), regional cerebral blood flow (rCBF), regional cerebral blood volume (rCBV), longitudinal relaxation time (T(1)) and mean diffusivity (D(av)). All subjects successfully completed the imaging protocol for the presteroid and poststeroid scans. Significant reductions were observed after the treatment for K(trans), nu(e) and nu(p) in enhancing tumor as well as for T(1) and D(av) in the edematous brain in glioblastoma; on the other hand, for meningioma, significant differences were seen only in edematous brain T(1) and D(av). No significant difference was observed for any parameter in metastatic carcinoma, most likely due to the small sample size. In addition, no significant difference was observed for enhancing tumor rCBF and rCBV in any of the tumor types, although the general trend was for rCBV to be reduced and for rCBF to be more variable. The yielded parameters provide a wealth of physiologic information and contribute to the understanding of dexamethasone actions on different types of intracranial tumors.

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Year:  2006        PMID: 17371718     DOI: 10.1016/j.mri.2006.09.002

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


  28 in total

1.  Evaluation of diffusion parameters as early biomarkers of disease progression in glioblastoma multiforme.

Authors:  Inas S Khayal; Mei-Yin C Polley; Llewellyn Jalbert; Adam Elkhaled; Susan M Chang; Soonmee Cha; Nicholas A Butowski; Sarah J Nelson
Journal:  Neuro Oncol       Date:  2010-05-25       Impact factor: 12.300

2.  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.

Authors:  S J Mills; C Soh; C J Rose; S Cheung; S Zhao; G J M Parker; A Jackson
Journal:  AJNR Am J Neuroradiol       Date:  2009-10-22       Impact factor: 3.825

3.  Signals of apoptotic pathways in several types of meningioma.

Authors:  Maurizio Sabbatini; Cristoforo Comi; Annalisa Chiocchetti; Valentina Piffanelli; Pier Giorgio Car; Umberto Dianzani; Francesco Monaco; Mario Cannas
Journal:  Pathol Oncol Res       Date:  2010-06-04       Impact factor: 3.201

4.  A grid overlay framework for analysis of medical images and its application to the measurement of stroke lesions.

Authors:  Paul A Armitage; C S Rivers; B Karaszewski; R G R Thomas; G K Lymer; Z Morris; J M Wardlaw
Journal:  Eur Radiol       Date:  2011-09-25       Impact factor: 5.315

5.  Early changes in apparent diffusion coefficient as an indicator of response to sorafenib in hepatocellular carcinoma.

Authors:  Yi-lei Zhao; Qing-qu Guo; Gen-ren Yang; Qi-dong Wang
Journal:  J Zhejiang Univ Sci B       Date:  2014-08       Impact factor: 3.066

6.  Diffusion-weighted MR imaging in gynecologic cancers.

Authors:  Shigenobu Motoshima; Hiroyuki Irie; Takahiko Nakazono; Toshiharu Kamura; Sho Kudo
Journal:  J Gynecol Oncol       Date:  2011-12-05       Impact factor: 4.401

Review 7.  Clinical Relevance of Steroid Use in Neuro-Oncology.

Authors:  K Ina Ly; Patrick Y Wen
Journal:  Curr Neurol Neurosci Rep       Date:  2017-01       Impact factor: 5.081

8.  On the Use of DSC-MRI for Measuring Vascular Permeability.

Authors:  J T Skinner; P L Moots; G D Ayers; C C Quarles
Journal:  AJNR Am J Neuroradiol       Date:  2015-10-01       Impact factor: 3.825

9.  Validation of functional diffusion maps (fDMs) as a biomarker for human glioma cellularity.

Authors:  Benjamin M Ellingson; Mark G Malkin; Scott D Rand; Jennifer M Connelly; Carolyn Quinsey; Pete S LaViolette; Devyani P Bedekar; Kathleen M Schmainda
Journal:  J Magn Reson Imaging       Date:  2010-03       Impact factor: 4.813

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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