Literature DB >> 11764395

The use of the linear quadratic model in radiotherapy: a review.

L Jones1, P Hoban, P Metcalfe.   

Abstract

To be able to predict the impact of any radiotherapy treatment the physics of radiation interactions and the expected biological effect for any radiotherapy treatment situation (dose, fractionation, modality) must be both understood and modelled. This review considers the current use and accuracy of the linear quadratic model which can be used to consider the variation in tissue response with fraction size. Cell kill following radiation damage results from damage to the DNA which can take a variety of forms. In many cases the linear quadratic model is used to estimate the relative impact for different situations especially clinical studies relating to fraction size. This is mainly undertaken using parameters derived from the linear quadratic model such as biological effective dose and standard effective dose. The model has also been adapted to consider the effect of overall treatment time, repair during treatment (as occurs for brachytherapy treatments) and other situations. There are some concerns over its use, mainly in the small dose ranges (both total low doses and low doses per fraction) where studies have shown its inaccuracy. In other situations however it does appear to provide a reasonable estimate of relative clinical effect. As with all models, however results should never be considered out of clinical context.

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Year:  2001        PMID: 11764395     DOI: 10.1007/bf03178355

Source DB:  PubMed          Journal:  Australas Phys Eng Sci Med        ISSN: 0158-9938            Impact factor:   1.430


  22 in total

Review 1.  Pediatric brain tumor treatment: growth consequences and their management.

Authors:  Sogol Mostoufi-Moab; Adda Grimberg
Journal:  Pediatr Endocrinol Rev       Date:  2010-09

Review 2.  Hypopituitarism as a consequence of brain tumours and radiotherapy.

Authors:  Ken H Darzy; Stephen M Shalet
Journal:  Pituitary       Date:  2005       Impact factor: 4.107

3.  Radiotherapy in pediatric pilocytic astrocytomas. A subgroup analysis within the prospective multicenter study HIT-LGG 1996 by the German Society of Pediatric Oncology and Hematology (GPOH).

Authors:  K Müller; A Gnekow; F Falkenstein; J Scheiderbauer; I Zwiener; T Pietsch; M Warmuth-Metz; J Voges; G Nikkhah; M Flentje; S E Combs; D Vordermark; M Kocher; R-D Kortmann
Journal:  Strahlenther Onkol       Date:  2013-07-07       Impact factor: 3.621

4.  The use of equivalent radiation dose in the evaluation of late effects after childhood cancer treatment.

Authors:  Irma W E M van Dijk; Rob M van Os; Jeroen B van de Kamer; Nicolaas A P Franken; Helena J H van der Pal; Caro C E Koning; Huib N Caron; Cécile M Ronckers; Leontien C M Kremer
Journal:  J Cancer Surviv       Date:  2014-06-14       Impact factor: 4.442

5.  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

6.  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

7.  Second cancers after fractionated radiotherapy: stochastic population dynamics effects.

Authors:  Rainer K Sachs; Igor Shuryak; David Brenner; Hatim Fakir; Lynn Hlatky; Philip Hahnfeldt
Journal:  J Theor Biol       Date:  2007-08-12       Impact factor: 2.691

Review 8.  Radiation-induced hypopituitarism after cancer therapy: who, how and when to test.

Authors:  Ken H Darzy
Journal:  Nat Clin Pract Endocrinol Metab       Date:  2009-02

9.  Stereotactic body radiosurgery for spinal metastatic disease: an evidence-based review.

Authors:  William A Hall; Liza J Stapleford; Costas G Hadjipanayis; Walter J Curran; Ian Crocker; Hui-Kuo G Shu
Journal:  Int J Surg Oncol       Date:  2011-07-10

10.  A time-resolved experimental-mathematical model for predicting the response of glioma cells to single-dose radiation therapy.

Authors:  Junyan Liu; David A Hormuth; Tessa Davis; Jianchen Yang; Matthew T McKenna; Angela M Jarrett; Heiko Enderling; Amy Brock; Thomas E Yankeelov
Journal:  Integr Biol (Camb)       Date:  2021-07-08       Impact factor: 3.177

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