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Cited by 177

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

Magnetic Hyperthermia and Radiation Therapy: Radiobiological Principles and Current Practice †

Open access
Spirou, Spiridon V., Basini, Martina, Lascialfari, Alessandro, Sangregorio, Claudio, Innocenti, Claudia·2018·Nanomaterials

Abstract

Hyperthermia, though by itself generally non-curative for cancer, can significantly increase the efficacy of radiation therapy, as demonstrated by in vitro, in vivo, and clinical results. Its limited use in the clinic is mainly due to various practical implementation difficulties, the most important being how to adequately heat the tumor, especially deep-seated ones. In this work, we first review the effects of hyperthermia on tissue, the limitations of radiation therapy and the radiobiological rationale for combining the two treatment modalities. Subsequently, we review the theory and evidence for magnetic hyperthermia that is based on magnetic nanoparticles, its advantages compared with other methods of hyperthermia, and how it can be used to overcome the problems associated with traditional techniques of hyperthermia.

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Crossref · 10.3390/nano8060401

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Metadata

Authors
Spirou, S. V., Basini, M., Lascialfari, A., Sangregorio, C., & Innocenti, C.
Venue
Nanomaterials
Publisher
MDPI AG
Published
2018-06-03
Volume
8
Issue
6
Pages
401
ISSN
2079-4991 (ISSN-L)
OpenAlex
W2806201495
Cited by
177
References
3
FWCI
7.74
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Magnetic Hyperthermia and Radiation Therapy: Radiobiological Principles and Current Practice †. https://app.cochat.ai/papers/10.3390/nano8060401
The paper
Spirou, S. V., Basini, M., Lascialfari, A., Sangregorio, C., & Innocenti, C. (2018). Magnetic Hyperthermia and Radiation Therapy: Radiobiological Principles and Current Practice †. Nanomaterials. https://doi.org/10.3390/nano8060401

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.