The DOI matches its Crossref record; 158 of the 158 references it cites were found in a registry or an index.
The linear quadratic model: usage, interpretation and challenges
Open accessAbstract
The linear-quadratic model is one of the key tools in radiation biology and physics. It provides a simple relationship between cell survival and delivered dose: [Formula: see text], and has been used extensively to analyse and predict responses to ionising radiation both in vitro and in vivo. Despite its ubiquity, there remain questions about its interpretation and wider applicability-Is it a convenient empirical fit or representative of some deeper mechanistic behaviour? Does a model of single-cell survival in vitro really correspond to clinical tissue responses? Is it applicable at very high and very low doses? Here, we review these issues, discussing current usage of the LQ model, its historical context, what we now know about its mechanistic underpinnings, and the potential challenges and confounding factors that arise when trying to apply it across a range of systems.
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Cites
Ultrastructural Characterization of the Lower Motor System in a Mouse Model of Krabbe Disease
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Mutational landscape and significance across 12 major cancer types
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Genome maintenance mechanisms for preventing cancer
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Tumor Hypoxia: Definitions and Current Clinical, Biologic, and Molecular Aspects
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The linear-quadratic formula and progress in fractionated radiotherapy
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ACTION OF X-RAYS ON MAMMALIAN CELLS
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“Instead, in mammalian cells the yield of DSBs is extremely linear over a dose range spanning 1 mGy to 100 Gy using a range of different quantification methods (Rothkamm and Löbrich 2003).”
MethodRobustness in the Strategy of Scientific Model Building
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Metadata
- Authors
- McMahon, S. J.
- Venue
- Physics in Medicine & Biology
- Publisher
- IOP Publishing
- Published
- 2018-12-19
- Volume
- 64
- Issue
- 1
- Pages
- 01TR01
- ISSN
- 0031-9155 (ISSN-L)
- 1361-6560
- OpenAlex
- W2900887235
- Cited by
- 440
- References
- 158
- FWCI
- 18.09
- Type
- journal article
- Language
- en
- Open access
- hybrid
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