Literature DB >> 20305336

Mechanistic simulation of normal-tissue damage in radiotherapy--implications for dose-volume analyses.

Eva Rutkowska1, Colin Baker, Alan Nahum.   

Abstract

A radiobiologically based 3D model of normal tissue has been developed in which complications are generated when 'irradiated'. The aim is to provide insight into the connection between dose-distribution characteristics, different organ architectures and complication rates beyond that obtainable with simple DVH-based analytical NTCP models. In this model the organ consists of a large number of functional subunits (FSUs), populated by stem cells which are killed according to the LQ model. A complication is triggered if the density of FSUs in any 'critical functioning volume' (CFV) falls below some threshold. The (fractional) CFV determines the organ architecture and can be varied continuously from small (series-like behaviour) to large (parallel-like). A key feature of the model is its ability to account for the spatial dependence of dose distributions. Simulations were carried out to investigate correlations between dose-volume parameters and the incidence of 'complications' using different pseudo-clinical dose distributions. Correlations between dose-volume parameters and outcome depended on characteristics of the dose distributions and on organ architecture. As anticipated, the mean dose and V(20) correlated most strongly with outcome for a parallel organ, and the maximum dose for a serial organ. Interestingly better correlation was obtained between the 3D computer model and the LKB model with dose distributions typical for serial organs than with those typical for parallel organs. This work links the results of dose-volume analyses to dataset characteristics typical for serial and parallel organs and it may help investigators interpret the results from clinical studies.

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Year:  2010        PMID: 20305336     DOI: 10.1088/0031-9155/55/8/001

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


  5 in total

1.  Test the Effectiveness of Quantitative Linear-Quadratic-Based (qLQB) Model on Evaluating Irradiation-Induced Liver Injury (ILI) Against Normal Tissue Complication Probability (NTCP).

Authors:  Han Bai; Li Wang; Wenhui Li; Xuhong Liu; Yaoxiong Xia; Li Chang
Journal:  Dose Response       Date:  2020-09-22       Impact factor: 2.658

2.  Mechanistic modelling of radiotherapy-induced lung toxicity.

Authors:  E S Rutkowska; I Syndikus; C R Baker; A E Nahum
Journal:  Br J Radiol       Date:  2012-12       Impact factor: 3.039

Review 3.  Modeling Radiotherapy Induced Normal Tissue Complications: An Overview beyond Phenomenological Models.

Authors:  Marco D'Andrea; Marcello Benassi; Lidia Strigari
Journal:  Comput Math Methods Med       Date:  2016-12-01       Impact factor: 2.238

Review 4.  Roadmap: proton therapy physics and biology.

Authors:  Harald Paganetti; Chris Beltran; Stefan Both; Lei Dong; Jacob Flanz; Keith Furutani; Clemens Grassberger; David R Grosshans; Antje-Christin Knopf; Johannes A Langendijk; Hakan Nystrom; Katia Parodi; Bas W Raaymakers; Christian Richter; Gabriel O Sawakuchi; Marco Schippers; Simona F Shaitelman; B K Kevin Teo; Jan Unkelbach; Patrick Wohlfahrt; Tony Lomax
Journal:  Phys Med Biol       Date:  2021-02-26       Impact factor: 4.174

5.  Radiotherapy of abdomen with precise renal assessment with SPECT/CT imaging (RAPRASI): design and methodology of a prospective trial to improve the understanding of kidney radiation dose response.

Authors:  Juanita Lopez-Gaitan; Martin A Ebert; Peter Robins; Jan Boucek; Trevor Leong; David Willis; Sean Bydder; Peter Podias; Gemma Waters; Brenton O'Mara; Julie Chu; Jessica Faggian; Luke Williams; Michael S Hofman; Nigel A Spry
Journal:  BMC Cancer       Date:  2013-08-10       Impact factor: 4.430

  5 in total

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