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Cited by 385

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Nanoparticles for Radiation Therapy Enhancement: the Key Parameters

Open access
Retif, Paul, Pinel, Sophie, Toussaint, Magali, Frochot, Céline, Chouikrat, Rima, Bastogne, Thierry, Barberi-Heyob, Muriel·2015·Theranostics

Abstract

This review focuses on the radiosensitization strategies that use high-Z nanoparticles. It does not establish an exhaustive list of the works in this field but rather propose constructive criticisms pointing out critical factors that could improve the nano-radiation therapy. Whereas most reviews show the chemists and/or biologists points of view, the present analysis is also seen through the prism of the medical physicist. In particular, we described and evaluated the influence of X-rays energy spectra using a numerical analysis. We observed a lack of standardization in preclinical studies that could partially explain the low number of translation to clinical applications for this innovative therapeutic strategy. Pointing out the critical parameters of high-Z nanoparticles radiosensitization, this review is expected to contribute to a larger preclinical and clinical development.

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Crossref · 10.7150/thno.11642

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Metadata

Authors
Retif, P., Pinel, S., Toussaint, M., Frochot, C., Chouikrat, R., Bastogne, T., & Barberi-Heyob, M.
Venue
Theranostics
Published
2015
Volume
5
Issue
9
Pages
1030-1044
ISSN
1838-7640 (ISSN-L)
OpenAlex
W745919197
Cited by
385
References
3
FWCI
27.59
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Nanoparticles for Radiation Therapy Enhancement: the Key Parameters. https://app.cochat.ai/papers/10.7150/thno.11642
The paper
Retif, P., Pinel, S., Toussaint, M., Frochot, C., Chouikrat, R., Bastogne, T., & Barberi-Heyob, M. (2015). Nanoparticles for Radiation Therapy Enhancement: the Key Parameters. Theranostics. https://doi.org/10.7150/thno.11642

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.