Literature DB >> 20395065

Potential for differentiation of pseudoprogression from true tumor progression with dynamic susceptibility-weighted contrast-enhanced magnetic resonance imaging using ferumoxytol vs. gadoteridol: a pilot study.

Seymur Gahramanov1, Ahmed M Raslan, Leslie L Muldoon, Bronwyn E Hamilton, William D Rooney, Csanad G Varallyay, Jeffrey M Njus, Marianne Haluska, Edward A Neuwelt.   

Abstract

PURPOSE: We evaluated dynamic susceptibility-weighted contrast-enhanced magnetic resonance imaging (DSC-MRI) using gadoteridol in comparison to the iron oxide nanoparticle blood pool agent, ferumoxytol, in patients with glioblastoma multiforme (GBM) who received standard radiochemotherapy (RCT). METHODS AND MATERIALS: Fourteen patients with GBM received standard RCT and underwent 19 MRI sessions that included DSC-MRI acquisitions with gadoteridol on Day 1 and ferumoxytol on Day 2. Relative cerebral blood volume (rCBV) values were calculated from DSC data obtained from each contrast agent. T1-weighted acquisition post-gadoteridol administration was used to identify enhancing regions.
RESULTS: In seven MRI sessions of clinically presumptive active tumor, gadoteridol-DSC showed low rCBV in three and high rCBV in four, whereas ferumoxytol-DSC showed high rCBV in all seven sessions (p = 0.002). After RCT, seven MRI sessions showed increased gadoteridol contrast enhancement on T1-weighted scans coupled with low rCBV without significant differences between contrast agents (p = 0.9). Based on post-gadoteridol T1-weighted scans, DSC-MRI, and clinical presentation, four patterns of response to RCT were observed: regression, pseudoprogression, true progression, and mixed response.
CONCLUSION: We conclude that DSC-MRI with a blood pool agent such as ferumoxytol may provide a better monitor of tumor rCBV than DSC-MRI with gadoteridol. Lesions demonstrating increased enhancement on T1-weighted MRI coupled with low ferumoxytol rCBV are likely exhibiting pseudoprogression, whereas high rCBV with ferumoxytol is a better marker than gadoteridol for determining active tumor. These interesting pilot observations suggest that ferumoxytol may differentiate tumor progression from pseudoprogression and warrant further investigation. Copyright Â
© 2011 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20395065      PMCID: PMC3111452          DOI: 10.1016/j.ijrobp.2009.10.072

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  31 in total

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Review 2.  Mechanisms of radiation injury to the central nervous system: implications for neuroprotection.

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Review 3.  Superparamagnetic iron oxide nanoparticles: diagnostic magnetic resonance imaging and potential therapeutic applications in neurooncology and central nervous system inflammatory pathologies, a review.

Authors:  Jason S Weinstein; Csanad G Varallyay; Edit Dosa; Seymur Gahramanov; Bronwyn Hamilton; William D Rooney; Leslie L Muldoon; Edward A Neuwelt
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Review 4.  The radioresponse of the central nervous system: a dynamic process.

Authors:  P J Tofilon; J R Fike
Journal:  Radiat Res       Date:  2000-04       Impact factor: 2.841

5.  Glial tumor grading and outcome prediction using dynamic spin-echo MR susceptibility mapping compared with conventional contrast-enhanced MR: confounding effect of elevated rCBV of oligodendrogliomas [corrected].

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6.  Survival analysis in patients with glioblastoma multiforme: predictive value of choline-to-N-acetylaspartate index, apparent diffusion coefficient, and relative cerebral blood volume.

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7.  Methionine positron emission tomography for differentiation of recurrent brain tumor and radiation necrosis after stereotactic radiosurgery--in malignant glioma.

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8.  Correlation of MR imaging-determined cerebral blood volume maps with histologic and angiographic determination of vascularity of gliomas.

Authors:  T Sugahara; Y Korogi; M Kochi; I Ikushima; T Hirai; T Okuda; Y Shigematsu; L Liang; Y Ge; Y Ushio; M Takahashi
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9.  Cerebral blood volume maps of gliomas: comparison with tumor grade and histologic findings.

Authors:  H J Aronen; I E Gazit; D N Louis; B R Buchbinder; F S Pardo; R M Weisskoff; G R Harsh; G R Cosgrove; E F Halpern; F H Hochberg
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10.  Hypoxia and hypoxia-inducible factor-1 target genes in central nervous system radiation injury: a role for vascular endothelial growth factor.

Authors:  Robert A Nordal; Andras Nagy; Melania Pintilie; C Shun Wong
Journal:  Clin Cancer Res       Date:  2004-05-15       Impact factor: 12.531

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  69 in total

Review 1.  Physiologic MRI for assessment of response to therapy and prognosis in glioblastoma.

Authors:  Mark S Shiroishi; Jerrold L Boxerman; Whitney B Pope
Journal:  Neuro Oncol       Date:  2015-09-12       Impact factor: 12.300

2.  Cerebral blood volume mapping with ferumoxytol in dynamic susceptibility contrast perfusion MRI: Comparison to standard of care.

Authors:  Csanad G Varallyay; Eric Nesbit; Andrea Horvath; Peter Varallyay; Rongwei Fu; Seymur Gahramanov; Leslie L Muldoon; Xin Li; William D Rooney; Edward A Neuwelt
Journal:  J Magn Reson Imaging       Date:  2018-01-04       Impact factor: 4.813

3.  ASFNR recommendations for clinical performance of MR dynamic susceptibility contrast perfusion imaging of the brain.

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4.  Clinical translation of ferumoxytol-based vessel size imaging (VSI): Feasibility in a phase I oncology clinical trial population.

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Review 5.  Treatment-related changes in glioblastoma: a review on the controversies in response assessment criteria and the concepts of true progression, pseudoprogression, pseudoresponse and radionecrosis.

Authors:  P D Delgado-López; E Riñones-Mena; E M Corrales-García
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Review 6.  Molecular imaging of cerebrovascular lesions.

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7.  Evaluation of pseudoprogression in patients with glioblastoma multiforme using dynamic magnetic resonance imaging with ferumoxytol calls RANO criteria into question.

Authors:  Morad Nasseri; Seymur Gahramanov; Joao Prola Netto; Rongwei Fu; Leslie L Muldoon; Csanad Varallyay; Bronwyn E Hamilton; Edward A Neuwelt
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8.  Ferumoxytol: a new, clinically applicable label for stem-cell tracking in arthritic joints with MRI.

Authors:  Aman Khurana; Hossein Nejadnik; Fanny Chapelin; Olga Lenkov; Rakhee Gawande; Sungmin Lee; Sandeep N Gupta; Nooshin Aflakian; Nikita Derugin; Solomon Messing; Guiting Lin; Tom F Lue; Laura Pisani; Heike E Daldrup-Link
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9.  New applications of nanotechnology for neuroimaging.

Authors:  G Suffredini; J E East; L M Levy
Journal:  AJNR Am J Neuroradiol       Date:  2013-03-28       Impact factor: 3.825

Review 10.  MR Imaging Biomarkers in Oncology Clinical Trials.

Authors:  Richard G Abramson; Lori R Arlinghaus; Adrienne N Dula; C Chad Quarles; Ashley M Stokes; Jared A Weis; Jennifer G Whisenant; Eduard Y Chekmenev; Igor Zhukov; Jason M Williams; Thomas E Yankeelov
Journal:  Magn Reson Imaging Clin N Am       Date:  2016-02       Impact factor: 2.266

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