NMR relaxation enhancement in gels polymerized and cross-linked by ionizing radiation: A new approach to 3D dosimetry by MRI

Relaxivities r1 and r2 of cobalt ferrite magnetic nanoparticles (MNPs) have been investigated in the aim of improving the models of NMR relaxation induced by magnetic nanoparticles.

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ChemInform Abstract: A New Approach to the Silica Gel Surface. Characterization of Different Surface Regions by 29Si Magic Angle Spinning NMR Relaxation Parameters and Consequences for Quantification of Silica Gels by NMR.

ChemInform ◽

10.1002/chin.199033020 ◽

1990 ◽

Vol 21 (33) ◽

Author(s):

B. PFLEIDERER ◽

K. ALBERT ◽

E. BAYER ◽

L. VAN DE VEN ◽

J. DE HAAN ◽

...

Keyword(s):

Silica Gel ◽

Surface Characterization ◽

Nmr Relaxation ◽

Magic Angle Spinning ◽

Silica Gels ◽

Magic Angle ◽

New Approach ◽

Relaxation Parameters ◽

Angle Spinning

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Nitric oxide-donor/PARP-inhibitor combination: A new approach for sensitization to ionizing radiation

Redox Biology ◽

10.1016/j.redox.2019.101169 ◽

2019 ◽

Vol 24 ◽

pp. 101169 ◽

Cited By ~ 3

Author(s):

Aaron Wilson ◽

Vijay Menon ◽

Zubair Khan ◽

Asim Alam ◽

Larisa Litovchick ◽

...

Keyword(s):

Nitric Oxide ◽

Ionizing Radiation ◽

Parp Inhibitor ◽

Nitric Oxide Donor ◽

New Approach ◽

Inhibitor Combination

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A new approach for discriminative measurements of different components of external ionizing radiation

Journal of Environmental Radioactivity ◽

10.1016/j.jenvrad.2016.07.023 ◽

2017 ◽

Vol 173 ◽

pp. 2-5 ◽

Cited By ~ 1

Author(s):

Zhen Yang ◽

Bo Chen ◽

Weihai Zhuo ◽

Chao Zhao ◽

Weiyuan Zhang

Keyword(s):

Ionizing Radiation ◽

New Approach

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Computational Biophysical Modeling of the Radiation Bystander Effect in Irradiated Cells

Radiation ◽

10.3390/radiation2010003 ◽

2021 ◽

Vol 2 (1) ◽

pp. 33-51

Author(s):

Paweł Wysocki ◽

Krzysztof W. Fornalski

Keyword(s):

Monte Carlo ◽

Probability Distribution ◽

Ionizing Radiation ◽

Monte Carlo Methods ◽

Bystander Effect ◽

Direct Interaction ◽

Point Of View ◽

Biophysical Modeling ◽

New Approach ◽

Probability Tree

It is well known that ionizing radiation can cause damages to cells that interact with it directly. However, many studies have shown that damages also occur in cells that have not experienced direct interaction. This is due to the so-called bystander effect, which is observed when the irradiated cell sends signals that can damage neighboring cells. Due to the complexity of this effect, it is not easy to strictly describe it biophysically, and thus it is also difficult to simulate. This article reviews various approaches to modeling and simulating the bystander effect from the point of view of radiation biophysics. In particular, the last model presented within this article is part of a larger project of modeling the response of a group of cells to ionizing radiation using Monte Carlo methods. The new approach presented here is based on the probability tree, the Poisson distribution of signals and the saturated dose-related probability distribution of the bystander effect’s appearance, which makes the model very broad and universal.

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