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Automated prediction of dosimetric eligibility for hypofractionated prostate radiotherapy
Clinical implementation of hypofractionated prostate radiotherapy (PROFIT trial, NCT003046759) represents an opportunity to significantly reduce the burden of treatment on the patient and clinic. However, efficacy was only demonstrated among the patient demographic who could meet the trial dose cons...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5689926/ https://www.ncbi.nlm.nih.gov/pubmed/28980442 http://dx.doi.org/10.1002/acm2.12198 |
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author | Lausch, Anthony Lamey, Michael Zeng, Grace G. |
author_facet | Lausch, Anthony Lamey, Michael Zeng, Grace G. |
author_sort | Lausch, Anthony |
collection | PubMed |
description | Clinical implementation of hypofractionated prostate radiotherapy (PROFIT trial, NCT003046759) represents an opportunity to significantly reduce the burden of treatment on the patient and clinic. However, efficacy was only demonstrated among the patient demographic who could meet the trial dose constraints and so it is necessary to emulate this triage step in clinical practice. The purpose of this study was to build a convenient tool to address the challenge of determining patient eligibility for hypofractionated treatment within the clinic. The tool was implemented within the Eclipse(TM) treatment planning system using the scripting environment. Prior to planning a new case, the script computes and displays in a plot the fractional overlap of rectal and bladder wall with the planning target volume. Radial decision boundaries separate the plot into three zones and the new case is then classified as “feasible”, “uncertain”, or “not feasible”. The radial decision boundaries were derived from a retrospective analysis of the overlap values and dosimetric eligibility of 150 patients with intermediate risk prostate cancer. Two‐fold cross validation with repetitions demonstrated an average prediction accuracy of over 90%. The tool has been integrated into our clinical planning workflow to enable early identification of the need for planning consults and rapid a‐priori determination of dosimetric eligibility for hypofractionated radiotherapy. The tool can be readily adopted by other centres since the underlying metrics can be evaluated without scripting if desired. |
format | Online Article Text |
id | pubmed-5689926 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-56899262018-04-02 Automated prediction of dosimetric eligibility for hypofractionated prostate radiotherapy Lausch, Anthony Lamey, Michael Zeng, Grace G. J Appl Clin Med Phys Radiation Oncology Physics Clinical implementation of hypofractionated prostate radiotherapy (PROFIT trial, NCT003046759) represents an opportunity to significantly reduce the burden of treatment on the patient and clinic. However, efficacy was only demonstrated among the patient demographic who could meet the trial dose constraints and so it is necessary to emulate this triage step in clinical practice. The purpose of this study was to build a convenient tool to address the challenge of determining patient eligibility for hypofractionated treatment within the clinic. The tool was implemented within the Eclipse(TM) treatment planning system using the scripting environment. Prior to planning a new case, the script computes and displays in a plot the fractional overlap of rectal and bladder wall with the planning target volume. Radial decision boundaries separate the plot into three zones and the new case is then classified as “feasible”, “uncertain”, or “not feasible”. The radial decision boundaries were derived from a retrospective analysis of the overlap values and dosimetric eligibility of 150 patients with intermediate risk prostate cancer. Two‐fold cross validation with repetitions demonstrated an average prediction accuracy of over 90%. The tool has been integrated into our clinical planning workflow to enable early identification of the need for planning consults and rapid a‐priori determination of dosimetric eligibility for hypofractionated radiotherapy. The tool can be readily adopted by other centres since the underlying metrics can be evaluated without scripting if desired. John Wiley and Sons Inc. 2017-10-04 /pmc/articles/PMC5689926/ /pubmed/28980442 http://dx.doi.org/10.1002/acm2.12198 Text en © 2017 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Radiation Oncology Physics Lausch, Anthony Lamey, Michael Zeng, Grace G. Automated prediction of dosimetric eligibility for hypofractionated prostate radiotherapy |
title | Automated prediction of dosimetric eligibility for hypofractionated prostate radiotherapy |
title_full | Automated prediction of dosimetric eligibility for hypofractionated prostate radiotherapy |
title_fullStr | Automated prediction of dosimetric eligibility for hypofractionated prostate radiotherapy |
title_full_unstemmed | Automated prediction of dosimetric eligibility for hypofractionated prostate radiotherapy |
title_short | Automated prediction of dosimetric eligibility for hypofractionated prostate radiotherapy |
title_sort | automated prediction of dosimetric eligibility for hypofractionated prostate radiotherapy |
topic | Radiation Oncology Physics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5689926/ https://www.ncbi.nlm.nih.gov/pubmed/28980442 http://dx.doi.org/10.1002/acm2.12198 |
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