Literature DB >> 30523903

The linear quadratic model: usage, interpretation and challenges.

Stephen Joseph McMahon1.   

Abstract

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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Mesh:

Year:  2018        PMID: 30523903     DOI: 10.1088/1361-6560/aaf26a

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  45 in total

Review 1.  Novel treatment planning approaches to enhance the therapeutic ratio: targeting the molecular mechanisms of radiation therapy.

Authors:  M Protopapa; V Kouloulias; A Kougioumtzopoulou; Z Liakouli; C Papadimitriou; A Zygogianni
Journal:  Clin Transl Oncol       Date:  2019-06-28       Impact factor: 3.405

Review 2.  Modelling variable proton relative biological effectiveness for treatment planning.

Authors:  Aimee McNamara; Henning Willers; Harald Paganetti
Journal:  Br J Radiol       Date:  2019-11-18       Impact factor: 3.039

3.  A Multi-Compartment Model of Glioma Response to Fractionated Radiation Therapy Parameterized via Time-Resolved Microscopy Data.

Authors:  Junyan Liu; David A Hormuth; Jianchen Yang; Thomas E Yankeelov
Journal:  Front Oncol       Date:  2022-02-04       Impact factor: 6.244

Review 4.  Mechanisms and Review of Clinical Evidence of Variations in Relative Biological Effectiveness in Proton Therapy.

Authors:  Harald Paganetti
Journal:  Int J Radiat Oncol Biol Phys       Date:  2021-08-15       Impact factor: 8.013

5.  In silico simulation of the effect of hypoxia on MCF-7 cell cycle kinetics under fractionated radiotherapy.

Authors:  Adrian S Remigio
Journal:  J Biol Phys       Date:  2021-09-17       Impact factor: 1.560

6.  Generalized stochastic microdosimetric model: The main formulation.

Authors:  F Cordoni; M Missiaggia; A Attili; S M Welford; E Scifoni; C La Tessa
Journal:  Phys Rev E       Date:  2021-01       Impact factor: 2.529

7.  Lung Cancer Radiotherapy: Simulation and Analysis Based on a Multicomponent Mathematical Model.

Authors:  Wen-Song Hong; Shun-Guan Wang; Gang-Qing Zhang
Journal:  Comput Math Methods Med       Date:  2021-04-29       Impact factor: 2.238

8.  A Mechanistic DNA Repair and Survival Model (Medras): Applications to Intrinsic Radiosensitivity, Relative Biological Effectiveness and Dose-Rate.

Authors:  Stephen Joseph McMahon; Kevin M Prise
Journal:  Front Oncol       Date:  2021-06-29       Impact factor: 6.244

9.  The FLASH effect depends on oxygen concentration.

Authors:  Gabriel Adrian; Elise Konradsson; Michael Lempart; Sven Bäck; Crister Ceberg; Kristoffer Petersson
Journal:  Br J Radiol       Date:  2019-12-20       Impact factor: 3.629

Review 10.  Low radiation dose to treat pneumonia and other inflammations.

Authors:  Ming Tsuey Chew; Eman Daar; Mayeen Uddin Khandaker; Bleddyn Jones; Andrew Nisbet; David A Bradley
Journal:  Br J Radiol       Date:  2021-06-30       Impact factor: 3.629

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