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Developing oxygen-enhanced magnetic resonance imaging as a prognostic biomarker of radiation response

Overview of attention for article published in Cancer Letters, June 2016
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Title
Developing oxygen-enhanced magnetic resonance imaging as a prognostic biomarker of radiation response
Published in
Cancer Letters, June 2016
DOI 10.1016/j.canlet.2016.06.003
Pubmed ID
Authors

Derek A. White, Zhang Zhang, Li Li, Jeni Gerberich, Strahinja Stojadinovic, Peter Peschke, Ralph P. Mason

Abstract

Oxygen-Enhanced Magnetic Resonance Imaging (OE-MRI) techniques were evaluated as potential non-invasive predictive biomarkers of radiation response. Semi quantitative blood-oxygen level dependent (BOLD) and tissue oxygen level dependent (TOLD) contrast, and quantitative responses of relaxation rates (ΔR1 and ΔR2*) to an oxygen breathing challenge during hypofractionated radiotherapy were applied. OE-MRI was performed on subcutaneous Dunning R3327-AT1 rat prostate tumors (n=25) at 4.7 T prior to each irradiation (2F × 15 Gy) to the gross tumor volume. Response to radiation, while inhaling air or oxygen, was assessed by tumor growth delay measured up to four times the initial irradiated tumor volume (VQT). Radiation-induced hypoxia changes were confirmed using a double hypoxia marker assay. Inhaling oxygen during hypofractionated radiotherapy significantly improved radiation response. A correlation was observed between the difference in the 2nd and 1st ΔR1 (ΔΔR1) and VQT for air breathing rats. The TOLD response before the 2nd fraction showed a moderate correlation with VQT for oxygen breathing rats. The correlations indicate useful prognostic factors to predict tumor response to hypofractionation and could readily be applied for patient stratification and personalized radiotherapy treatment planning.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 16%
Student > Ph. D. Student 10 14%
Student > Bachelor 9 12%
Other 8 11%
Student > Master 8 11%
Other 18 24%
Unknown 9 12%
Readers by discipline Count As %
Medicine and Dentistry 20 27%
Physics and Astronomy 14 19%
Agricultural and Biological Sciences 5 7%
Biochemistry, Genetics and Molecular Biology 4 5%
Engineering 3 4%
Other 11 15%
Unknown 17 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 June 2016.
All research outputs
#17,285,036
of 25,373,627 outputs
Outputs from Cancer Letters
#4,371
of 6,177 outputs
Outputs of similar age
#225,745
of 354,235 outputs
Outputs of similar age from Cancer Letters
#42
of 70 outputs
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