Literature DB >> 31889683

A simple approximation for the evaluation of the photon iso-effective dose in Boron Neutron Capture Therapy based on dose-independent weighting factors.

María Pedrosa-Rivera1, Javier Praena2, Ignacio Porras3, María José Ruiz-Magaña4, Carmen Ruiz-Ruiz4.   

Abstract

The current methodology for determining the biological effect of Boron Neutron Capture Therapy (BNCT) has recently been questioned, and a more accurate framework based in the photon iso-effective dose has been proposed. In this work we derive a first order approximation to this quantity. The new approach removes the main drawbacks of the current method, being based on new weighting factors which are true constants (dose independent) but which can be evaluated from published data on the existing (dose-dependent) weighting factors. In addition to this, we apply the formalism to allow the comparison to a fractionated conventional radiotherapy treatment, for which there is a lot of knowledge from clinical practice. As an application, the photon iso-effective dose of a BNCT treatment for a brain tumor is estimated. An excel sheet used for these calculations is also provided as supplementary material and can be used also with user-provided input data for the estimation of the photon iso-effective dose for comparison with conventional radiotherapy, both to single and fractionated treatments.
Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Neutron capture therapy; Photon iso-effective dose; Treatment planning

Year:  2019        PMID: 31889683     DOI: 10.1016/j.apradiso.2019.109018

Source DB:  PubMed          Journal:  Appl Radiat Isot        ISSN: 0969-8043            Impact factor:   1.513


  1 in total

1.  Thermal Neutron Relative Biological Effectiveness Factors for Boron Neutron Capture Therapy from In Vitro Irradiations.

Authors:  María Pedrosa-Rivera; Javier Praena; Ignacio Porras; Manuel P Sabariego; Ulli Köster; Michael Haertlein; V Trevor Forsyth; José C Ramírez; Clara Jover; Daniel Jimena; Juan L Osorio; Patricia Álvarez; Carmen Ruiz-Ruiz; María J Ruiz-Magaña
Journal:  Cells       Date:  2020-09-23       Impact factor: 6.600

  1 in total

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