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| author_facet |
McMahon, Stephen J Prise, Kevin M McMahon, Stephen J Prise, Kevin M |
|---|---|
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McMahon, Stephen J Prise, Kevin M |
| spellingShingle |
McMahon, Stephen J Prise, Kevin M Cancers Mechanistic Modelling of Radiation Responses Cancer Research Oncology |
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mcmahon, stephen j |
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McMahon, Stephen J Prise, Kevin M 2072-6694 MDPI AG Cancer Research Oncology http://dx.doi.org/10.3390/cancers11020205 <jats:p>Radiobiological modelling has been a key part of radiation biology and therapy for many decades, and many aspects of clinical practice are guided by tools such as the linear-quadratic model. However, most of the models in regular clinical use are abstract and empirical, and do not provide significant scope for mechanistic interpretation or making predictions in novel cell lines or therapies. In this review, we will discuss the key areas of ongoing mechanistic research in radiation biology, including physical, chemical, and biological steps, and review a range of mechanistic modelling approaches which are being applied in each area, highlighting the possible opportunities and challenges presented by these techniques.</jats:p> Mechanistic Modelling of Radiation Responses Cancers |
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10.3390/cancers11020205 |
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MDPI AG, 2019 |
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MDPI AG, 2019 |
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2072-6694 |
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2019 |
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MDPI AG |
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Cancers |
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49 |
| title |
Mechanistic Modelling of Radiation Responses |
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Mechanistic Modelling of Radiation Responses |
| title_full |
Mechanistic Modelling of Radiation Responses |
| title_fullStr |
Mechanistic Modelling of Radiation Responses |
| title_full_unstemmed |
Mechanistic Modelling of Radiation Responses |
| title_short |
Mechanistic Modelling of Radiation Responses |
| title_sort |
mechanistic modelling of radiation responses |
| topic |
Cancer Research Oncology |
| url |
http://dx.doi.org/10.3390/cancers11020205 |
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2019 |
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205 |
| description |
<jats:p>Radiobiological modelling has been a key part of radiation biology and therapy for many decades, and many aspects of clinical practice are guided by tools such as the linear-quadratic model. However, most of the models in regular clinical use are abstract and empirical, and do not provide significant scope for mechanistic interpretation or making predictions in novel cell lines or therapies. In this review, we will discuss the key areas of ongoing mechanistic research in radiation biology, including physical, chemical, and biological steps, and review a range of mechanistic modelling approaches which are being applied in each area, highlighting the possible opportunities and challenges presented by these techniques.</jats:p> |
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| author | McMahon, Stephen J, Prise, Kevin M |
| author_facet | McMahon, Stephen J, Prise, Kevin M, McMahon, Stephen J, Prise, Kevin M |
| author_sort | mcmahon, stephen j |
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| container_title | Cancers |
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| description | <jats:p>Radiobiological modelling has been a key part of radiation biology and therapy for many decades, and many aspects of clinical practice are guided by tools such as the linear-quadratic model. However, most of the models in regular clinical use are abstract and empirical, and do not provide significant scope for mechanistic interpretation or making predictions in novel cell lines or therapies. In this review, we will discuss the key areas of ongoing mechanistic research in radiation biology, including physical, chemical, and biological steps, and review a range of mechanistic modelling approaches which are being applied in each area, highlighting the possible opportunities and challenges presented by these techniques.</jats:p> |
| doi_str_mv | 10.3390/cancers11020205 |
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| imprint | MDPI AG, 2019 |
| imprint_str_mv | MDPI AG, 2019 |
| institution | DE-Zwi2, DE-D161, DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1, DE-105, DE-14, DE-Ch1, DE-L229, DE-D275, DE-Bn3, DE-Brt1 |
| issn | 2072-6694 |
| issn_str_mv | 2072-6694 |
| language | English |
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| spelling | McMahon, Stephen J Prise, Kevin M 2072-6694 MDPI AG Cancer Research Oncology http://dx.doi.org/10.3390/cancers11020205 <jats:p>Radiobiological modelling has been a key part of radiation biology and therapy for many decades, and many aspects of clinical practice are guided by tools such as the linear-quadratic model. However, most of the models in regular clinical use are abstract and empirical, and do not provide significant scope for mechanistic interpretation or making predictions in novel cell lines or therapies. In this review, we will discuss the key areas of ongoing mechanistic research in radiation biology, including physical, chemical, and biological steps, and review a range of mechanistic modelling approaches which are being applied in each area, highlighting the possible opportunities and challenges presented by these techniques.</jats:p> Mechanistic Modelling of Radiation Responses Cancers |
| spellingShingle | McMahon, Stephen J, Prise, Kevin M, Cancers, Mechanistic Modelling of Radiation Responses, Cancer Research, Oncology |
| title | Mechanistic Modelling of Radiation Responses |
| title_full | Mechanistic Modelling of Radiation Responses |
| title_fullStr | Mechanistic Modelling of Radiation Responses |
| title_full_unstemmed | Mechanistic Modelling of Radiation Responses |
| title_short | Mechanistic Modelling of Radiation Responses |
| title_sort | mechanistic modelling of radiation responses |
| title_unstemmed | Mechanistic Modelling of Radiation Responses |
| topic | Cancer Research, Oncology |
| url | http://dx.doi.org/10.3390/cancers11020205 |