Literature DB >> 12433122

Derivation of the expressions for gamma50 and D50 for different individual TCP and NTCP models.

N Stavreva1, P Stavrev, B Warkentin, B G Fallone.   

Abstract

This paper presents a complete set of formulae for the position (D50) and the normalized slope (gamma50) of the dose-response relationship based on the most commonly used radiobiological models for tumours as well as for normal tissues. The functional subunit response models (critical element and critical volume) are used in the derivation of the formulae for the normal tissue. Binomial statistics are used to describe the tumour control probability, the functional subunit response as well as the normal tissue complication probability. The formulae are derived for the single hit and linear quadratic models of cell kill in terms of the number of fractions and dose per fraction. It is shown that the functional subunit models predict very steep, almost step-like, normal tissue individual dose-response relationships. Furthermore, the formulae for the normalized gradient depend on the cellular parameters alpha and beta when written in terms of number of fractions, but not when written in terms of dose per fraction.

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Year:  2002        PMID: 12433122     DOI: 10.1088/0031-9155/47/20/303

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


  4 in total

1.  Dose volume histogram analysis and comparison of different radiobiological models using in-house developed software.

Authors:  Arun S Oinam; Lakhwant Singh; Arvind Shukla; Sushmita Ghoshal; Rakesh Kapoor; Suresh C Sharma
Journal:  J Med Phys       Date:  2011-10

2.  In Vivo Validation of the BIANCA Biophysical Model: Benchmarking against Rat Spinal Cord RBE Data.

Authors:  Mario P Carante; Giulia Aricò; Alfredo Ferrari; Christian P Karger; Wioletta Kozlowska; Andrea Mairani; Paola Sala; Francesca Ballarini
Journal:  Int J Mol Sci       Date:  2020-06-01       Impact factor: 5.923

3.  Dosimetric assessment of prostate cancer patients through principal component analysis (PCA).

Authors:  Aime M Gloi; Robert Buchanan
Journal:  J Appl Clin Med Phys       Date:  2013-01-07       Impact factor: 2.102

4.  Assessment of radiobiological metrics applied to patient-specific QA process of VMAT prostate treatments.

Authors:  Francisco Clemente-Gutiérrez; Consuelo Pérez-Vara; María H Clavo-Herranz; Concepción López-Carrizosa; José Pérez-Regadera; Carmen Ibáñez-Villoslada
Journal:  J Appl Clin Med Phys       Date:  2016-03-08       Impact factor: 2.102

  4 in total

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