Literature DB >> 1355519

Tumour and normal tissue responses to fractionated non-uniform dose delivery.

P Källman1, A Agren, A Brahme.   

Abstract

The dose-volume response of tumours and normal tissues is discussed in terms of 'parallelity' and 'seriality'. The volume dependence of the radiation response of a tumour depends primarily on the eradication of all its clonogenic cells and the tumour has a parallel organization. The response of heterogeneous tumours is examined, and it is shown that a small resistant clonogen population may cause a low dose-response gradient, gamma. Injury to normal tissue is a much more complex and gradual process. It depends on earlier effects induced long before depletion of stem cells or differentiated cells that in addition may have a complex structural and functional organization. The volume dependence of the dose-response relation of normal tissues is therefore described here by a new parameter, the 'relative seriality', s, of the infrastructure of the organ. The model is compared with clinical and experimental data on normal tissue response, and shows good agreement both with regard to the shape of dose-response relation and the volume dependence of the isoeffect dose. For example, the spinal cord has a high and the lung a low 'relative seriality', which is reasonable with regard to the organization of these tissues. The response of tumours and normal tissues to non-uniform dose delivery is quantified for fractionated therapy using the linear quadratic cell survival parameters alpha and beta. The steepness, gamma, and the 50% response dose, D50, of the dose-response relationship are derived both for a constant dose per fraction and a constant number of dose fractions.

Entities:  

Mesh:

Year:  1992        PMID: 1355519     DOI: 10.1080/09553009214552071

Source DB:  PubMed          Journal:  Int J Radiat Biol        ISSN: 0955-3002            Impact factor:   2.694


  102 in total

1.  Quantitative Analyses of Normal Tissue Effects in the Clinic (QUANTEC): an introduction to the scientific issues.

Authors:  Søren M Bentzen; Louis S Constine; Joseph O Deasy; Avi Eisbruch; Andrew Jackson; Lawrence B Marks; Randall K Ten Haken; Ellen D Yorke
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-03-01       Impact factor: 7.038

Review 2.  Radiation dose-volume effects in the esophagus.

Authors:  Maria Werner-Wasik; Ellen Yorke; Joseph Deasy; Jiho Nam; Lawrence B Marks
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-03-01       Impact factor: 7.038

3.  A graphic user interface toolkit for specification, report and comparison of dose-response relations and treatment plans using the biologically effective uniform dose.

Authors:  Fan-Chi Su; Panayiotis Mavroidis; Chengyu Shi; Brigida Costa Ferreira; Niko Papanikolaou
Journal:  Comput Methods Programs Biomed       Date:  2010-03-24       Impact factor: 5.428

4.  Risk-adaptive optimization: selective boosting of high-risk tumor subvolumes.

Authors:  Yusung Kim; Wolfgang A Tomé
Journal:  Int J Radiat Oncol Biol Phys       Date:  2006-12-01       Impact factor: 7.038

5.  Reduction of cardiac and coronary artery doses in irradiation of left-sided breast cancer during inspiration breath hold : A planning study.

Authors:  S Schönecker; C Heinz; M Söhn; W Haimerl; S Corradini; M Pazos; C Belka; H Scheithauer
Journal:  Strahlenther Onkol       Date:  2016-09-08       Impact factor: 3.621

6.  Analysis of outcomes in radiation oncology: an integrated computational platform.

Authors:  Dezhi Liu; Munther Ajlouni; Jian-Yue Jin; Samuel Ryu; Farzan Siddiqui; Anushka Patel; Benjamin Movsas; Indrin J Chetty
Journal:  Med Phys       Date:  2009-05       Impact factor: 4.071

Review 7.  Impact of dose calculation algorithm on radiation therapy.

Authors:  Wen-Zhou Chen; Ying Xiao; Jun Li
Journal:  World J Radiol       Date:  2014-11-28

8.  A framework for implementation of organ effect models in TOPAS with benchmarks extended to proton therapy.

Authors:  J Ramos-Méndez; J Perl; J Schümann; J Shin; H Paganetti; B Faddegon
Journal:  Phys Med Biol       Date:  2015-06-10       Impact factor: 3.609

9.  Radiobiological evaluation of forward and inverse IMRT using different fractionations for head and neck tumours.

Authors:  Brigida C Ferreira; Maria do Carmo Lopes; Josefina Mateus; Miguel Capela; Panayiotis Mavroidis
Journal:  Radiat Oncol       Date:  2010-06-22       Impact factor: 3.481

10.  Simultaneous integrated boost radiotherapy for bilateral breast: a treatment planning and dosimetric comparison for volumetric modulated arc and fixed field intensity modulated therapy.

Authors:  Giorgia Nicolini; Alessandro Clivio; Antonella Fogliata; Eugenio Vanetti; Luca Cozzi
Journal:  Radiat Oncol       Date:  2009-07-24       Impact factor: 3.481

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