Cargando…

The influence of dose distribution on treatment outcome in the SCOPE 1 oesophageal cancer trial

PURPOSE: The first aim of this study was to assess plan quality using a conformity index (CI) and analyse its influence on patient outcome. The second aim was to identify whether clinical and technological factors including planning treatment volume (PTV) volume and treatment delivery method could b...

Descripción completa

Detalles Bibliográficos
Autores principales: Carrington, Rhys, Spezi, Emiliano, Gwynne, Sarah, Dutton, Peter, Hurt, Chris, Staffurth, John, Crosby, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4744439/
https://www.ncbi.nlm.nih.gov/pubmed/26852238
http://dx.doi.org/10.1186/s13014-016-0594-x
_version_ 1782414492312797184
author Carrington, Rhys
Spezi, Emiliano
Gwynne, Sarah
Dutton, Peter
Hurt, Chris
Staffurth, John
Crosby, Thomas
author_facet Carrington, Rhys
Spezi, Emiliano
Gwynne, Sarah
Dutton, Peter
Hurt, Chris
Staffurth, John
Crosby, Thomas
author_sort Carrington, Rhys
collection PubMed
description PURPOSE: The first aim of this study was to assess plan quality using a conformity index (CI) and analyse its influence on patient outcome. The second aim was to identify whether clinical and technological factors including planning treatment volume (PTV) volume and treatment delivery method could be related to the CI value. METHODS AND MATERIALS: By extending the original concept of the mean distance to conformity (MDC) index, the OverMDC and UnderMDC of the 95 % isodose line (50Gy prescribed dose) to the PTV was calculated for 97 patients from the UK SCOPE 1 trial (ISCRT47718479). Data preparation was carried out in CERR, with Kaplan-Meier and multivariate analysis undertaken in EUCLID and further tests in Microsoft Excel and IBM’s SPSS. RESULTS: A statistically significant breakpoint in the overall survival data, independent of cetuximab, was found with OverMDC (4.4 mm, p < 0.05). This was not the case with UnderMDC. There was a statistically significant difference in PTV volume either side of the OverMDC breakpoint (Mann Whitney p < 0.001) and in OverMDC value dependent on the treatment delivery method (mean IMRT = 2.1 mm, mean 3D-CRT = 4.1 mm Mann Whitney p < 0.001). Re-planning the worst performing patients according to OverMDC from 3D-CRT to VMAT resulted in a mean reduction in OverMDC of 2.8 mm (1.6–4.0 mm). OverMDC was not significant in multivariate analysis that included age, sex, staging, tumour type, and position. CONCLUSION: Although not significant when included in multivariate analysis, we have shown in univariate analysis that a patient’s OverMDC is correlated with overall survival. OverMDC is strongly related to IMRT and to a lesser extent with PTV volume. We recommend that VMAT planning should be used for oesophageal planning when available and that attention should be paid to the conformity of the 95 % to the PTV.
format Online
Article
Text
id pubmed-4744439
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-47444392016-02-07 The influence of dose distribution on treatment outcome in the SCOPE 1 oesophageal cancer trial Carrington, Rhys Spezi, Emiliano Gwynne, Sarah Dutton, Peter Hurt, Chris Staffurth, John Crosby, Thomas Radiat Oncol Research PURPOSE: The first aim of this study was to assess plan quality using a conformity index (CI) and analyse its influence on patient outcome. The second aim was to identify whether clinical and technological factors including planning treatment volume (PTV) volume and treatment delivery method could be related to the CI value. METHODS AND MATERIALS: By extending the original concept of the mean distance to conformity (MDC) index, the OverMDC and UnderMDC of the 95 % isodose line (50Gy prescribed dose) to the PTV was calculated for 97 patients from the UK SCOPE 1 trial (ISCRT47718479). Data preparation was carried out in CERR, with Kaplan-Meier and multivariate analysis undertaken in EUCLID and further tests in Microsoft Excel and IBM’s SPSS. RESULTS: A statistically significant breakpoint in the overall survival data, independent of cetuximab, was found with OverMDC (4.4 mm, p < 0.05). This was not the case with UnderMDC. There was a statistically significant difference in PTV volume either side of the OverMDC breakpoint (Mann Whitney p < 0.001) and in OverMDC value dependent on the treatment delivery method (mean IMRT = 2.1 mm, mean 3D-CRT = 4.1 mm Mann Whitney p < 0.001). Re-planning the worst performing patients according to OverMDC from 3D-CRT to VMAT resulted in a mean reduction in OverMDC of 2.8 mm (1.6–4.0 mm). OverMDC was not significant in multivariate analysis that included age, sex, staging, tumour type, and position. CONCLUSION: Although not significant when included in multivariate analysis, we have shown in univariate analysis that a patient’s OverMDC is correlated with overall survival. OverMDC is strongly related to IMRT and to a lesser extent with PTV volume. We recommend that VMAT planning should be used for oesophageal planning when available and that attention should be paid to the conformity of the 95 % to the PTV. BioMed Central 2016-02-06 /pmc/articles/PMC4744439/ /pubmed/26852238 http://dx.doi.org/10.1186/s13014-016-0594-x Text en © Carrington et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Carrington, Rhys
Spezi, Emiliano
Gwynne, Sarah
Dutton, Peter
Hurt, Chris
Staffurth, John
Crosby, Thomas
The influence of dose distribution on treatment outcome in the SCOPE 1 oesophageal cancer trial
title The influence of dose distribution on treatment outcome in the SCOPE 1 oesophageal cancer trial
title_full The influence of dose distribution on treatment outcome in the SCOPE 1 oesophageal cancer trial
title_fullStr The influence of dose distribution on treatment outcome in the SCOPE 1 oesophageal cancer trial
title_full_unstemmed The influence of dose distribution on treatment outcome in the SCOPE 1 oesophageal cancer trial
title_short The influence of dose distribution on treatment outcome in the SCOPE 1 oesophageal cancer trial
title_sort influence of dose distribution on treatment outcome in the scope 1 oesophageal cancer trial
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4744439/
https://www.ncbi.nlm.nih.gov/pubmed/26852238
http://dx.doi.org/10.1186/s13014-016-0594-x
work_keys_str_mv AT carringtonrhys theinfluenceofdosedistributionontreatmentoutcomeinthescope1oesophagealcancertrial
AT speziemiliano theinfluenceofdosedistributionontreatmentoutcomeinthescope1oesophagealcancertrial
AT gwynnesarah theinfluenceofdosedistributionontreatmentoutcomeinthescope1oesophagealcancertrial
AT duttonpeter theinfluenceofdosedistributionontreatmentoutcomeinthescope1oesophagealcancertrial
AT hurtchris theinfluenceofdosedistributionontreatmentoutcomeinthescope1oesophagealcancertrial
AT staffurthjohn theinfluenceofdosedistributionontreatmentoutcomeinthescope1oesophagealcancertrial
AT crosbythomas theinfluenceofdosedistributionontreatmentoutcomeinthescope1oesophagealcancertrial
AT carringtonrhys influenceofdosedistributionontreatmentoutcomeinthescope1oesophagealcancertrial
AT speziemiliano influenceofdosedistributionontreatmentoutcomeinthescope1oesophagealcancertrial
AT gwynnesarah influenceofdosedistributionontreatmentoutcomeinthescope1oesophagealcancertrial
AT duttonpeter influenceofdosedistributionontreatmentoutcomeinthescope1oesophagealcancertrial
AT hurtchris influenceofdosedistributionontreatmentoutcomeinthescope1oesophagealcancertrial
AT staffurthjohn influenceofdosedistributionontreatmentoutcomeinthescope1oesophagealcancertrial
AT crosbythomas influenceofdosedistributionontreatmentoutcomeinthescope1oesophagealcancertrial