Cargando…
Selecting patients for proton beam therapy
A transparent and equitable process for selecting patients who will benefit most from treatment at the Australian Bragg Centre for Proton Therapy as well as providing cost benefit for the investment made by government for this valuable resource, needs to be in place as soon as the Centre becomes ope...
Autor principal: | |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7890916/ https://www.ncbi.nlm.nih.gov/pubmed/33259660 http://dx.doi.org/10.1002/jmrs.454 |
_version_ | 1783652596044529664 |
---|---|
author | Ahern, Verity |
author_facet | Ahern, Verity |
author_sort | Ahern, Verity |
collection | PubMed |
description | A transparent and equitable process for selecting patients who will benefit most from treatment at the Australian Bragg Centre for Proton Therapy as well as providing cost benefit for the investment made by government for this valuable resource, needs to be in place as soon as the Centre becomes operational, particularly for patients with more common cancers. Markov modelling is one method of patient selection and an example is provided in this issue of the Journal of Medical Radiation Sciences.[Image: see text] |
format | Online Article Text |
id | pubmed-7890916 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78909162021-03-10 Selecting patients for proton beam therapy Ahern, Verity J Med Radiat Sci Editorial A transparent and equitable process for selecting patients who will benefit most from treatment at the Australian Bragg Centre for Proton Therapy as well as providing cost benefit for the investment made by government for this valuable resource, needs to be in place as soon as the Centre becomes operational, particularly for patients with more common cancers. Markov modelling is one method of patient selection and an example is provided in this issue of the Journal of Medical Radiation Sciences.[Image: see text] John Wiley and Sons Inc. 2020-12-01 2021-03 /pmc/articles/PMC7890916/ /pubmed/33259660 http://dx.doi.org/10.1002/jmrs.454 Text en © 2020 The Authors. Journal of Medical Radiation Sciences published by John Wiley & Sons Australia, Ltd on behalf of Australian Society of Medical Imaging and Radiation Therapy and New Zealand Institute of Medical Radiation Technology This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Editorial Ahern, Verity Selecting patients for proton beam therapy |
title | Selecting patients for proton beam therapy |
title_full | Selecting patients for proton beam therapy |
title_fullStr | Selecting patients for proton beam therapy |
title_full_unstemmed | Selecting patients for proton beam therapy |
title_short | Selecting patients for proton beam therapy |
title_sort | selecting patients for proton beam therapy |
topic | Editorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7890916/ https://www.ncbi.nlm.nih.gov/pubmed/33259660 http://dx.doi.org/10.1002/jmrs.454 |
work_keys_str_mv | AT ahernverity selectingpatientsforprotonbeamtherapy |