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FIELD(RT): an open-source platform for the assessment of target volume delineation in radiation therapy
OBJECTIVES: Target volume delineation (TVD) has been identified as a weakness in the accuracy of radiotherapy, both within and outside of clinical trials due to the intra/interobserver variations affecting the TVD quality. Sources of variations such as poor compliance or protocol violation may have...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The British Institute of Radiology.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9328049/ https://www.ncbi.nlm.nih.gov/pubmed/34289317 http://dx.doi.org/10.1259/bjr.20210356 |
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author | Piazzese, Concetta Evans, Elin Thomas, Betsan Staffurth, John Gwynne, Sarah Spezi, Emiliano |
author_facet | Piazzese, Concetta Evans, Elin Thomas, Betsan Staffurth, John Gwynne, Sarah Spezi, Emiliano |
author_sort | Piazzese, Concetta |
collection | PubMed |
description | OBJECTIVES: Target volume delineation (TVD) has been identified as a weakness in the accuracy of radiotherapy, both within and outside of clinical trials due to the intra/interobserver variations affecting the TVD quality. Sources of variations such as poor compliance or protocol violation may have adverse effect on treatment outcomes. In this paper, we present and describe the FIELD(RT) software developed for the ARENA project to improve the quality of TVD through qualitative and quantitative feedbacks and individual and personalized summary of trainee”s performance. METHODS: For each site-specific clinical case included in the FIELD(RT) software, reference volumes, minimum and maximum “acceptable” volumes and organ at risk were derived by outlines of consultants and senior trainees. The software components currently developed include: (a) user-friendly importing interface (b) analysis toolbox to compute quantitative and qualitative (c) visualiser and (d) structured report generator for personalised feedback. The FIELD(RT) software was validated by comparing the performance of 63 trainees and by measuring performance over time. In addition, a trainee evaluation day was held in 2019 to collect feedback on FIELD(RT). RESULTS: Results show the trainees’ improvement when reoutlining a case after reviewing the feedback generated from the FIELD(RT) software. Comments and feedback received after evaluation day were positive and confirmed that FIELD(RT) can be a useful application for training purposes. CONCLUSION: We presented a new open-source software to support education in TVD and ongoing continuous professional development for clinical oncology trainees and consultants. ARENA in combination with FIELD(RT) implements site-specific modules with reference target and organs at risk volumes and automatically evaluates individual performance using several quantitative and qualitative feedbacks. Pilot results suggests this software could be used as an education tool to reduce variation in TVD so to guarantee high quality in radiotherapy. ADVANCES IN KNOWLEDGE: FIELD(RT) is a new easy and free to use software aiming at supporting education in TVD and ongoing continuous professional development. The software provides quantitative/qualitative feedback and an exportable report with an individual and personalised summary of trainee’s performance. |
format | Online Article Text |
id | pubmed-9328049 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The British Institute of Radiology. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93280492022-08-05 FIELD(RT): an open-source platform for the assessment of target volume delineation in radiation therapy Piazzese, Concetta Evans, Elin Thomas, Betsan Staffurth, John Gwynne, Sarah Spezi, Emiliano Br J Radiol Full Paper OBJECTIVES: Target volume delineation (TVD) has been identified as a weakness in the accuracy of radiotherapy, both within and outside of clinical trials due to the intra/interobserver variations affecting the TVD quality. Sources of variations such as poor compliance or protocol violation may have adverse effect on treatment outcomes. In this paper, we present and describe the FIELD(RT) software developed for the ARENA project to improve the quality of TVD through qualitative and quantitative feedbacks and individual and personalized summary of trainee”s performance. METHODS: For each site-specific clinical case included in the FIELD(RT) software, reference volumes, minimum and maximum “acceptable” volumes and organ at risk were derived by outlines of consultants and senior trainees. The software components currently developed include: (a) user-friendly importing interface (b) analysis toolbox to compute quantitative and qualitative (c) visualiser and (d) structured report generator for personalised feedback. The FIELD(RT) software was validated by comparing the performance of 63 trainees and by measuring performance over time. In addition, a trainee evaluation day was held in 2019 to collect feedback on FIELD(RT). RESULTS: Results show the trainees’ improvement when reoutlining a case after reviewing the feedback generated from the FIELD(RT) software. Comments and feedback received after evaluation day were positive and confirmed that FIELD(RT) can be a useful application for training purposes. CONCLUSION: We presented a new open-source software to support education in TVD and ongoing continuous professional development for clinical oncology trainees and consultants. ARENA in combination with FIELD(RT) implements site-specific modules with reference target and organs at risk volumes and automatically evaluates individual performance using several quantitative and qualitative feedbacks. Pilot results suggests this software could be used as an education tool to reduce variation in TVD so to guarantee high quality in radiotherapy. ADVANCES IN KNOWLEDGE: FIELD(RT) is a new easy and free to use software aiming at supporting education in TVD and ongoing continuous professional development. The software provides quantitative/qualitative feedback and an exportable report with an individual and personalised summary of trainee’s performance. The British Institute of Radiology. 2021-10-01 2022-07-08 /pmc/articles/PMC9328049/ /pubmed/34289317 http://dx.doi.org/10.1259/bjr.20210356 Text en © 2021 The Authors. Published by the British Institute of Radiology https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 Unported License http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) , which permits unrestricted non-commercial reuse, provided the original author and source are credited. |
spellingShingle | Full Paper Piazzese, Concetta Evans, Elin Thomas, Betsan Staffurth, John Gwynne, Sarah Spezi, Emiliano FIELD(RT): an open-source platform for the assessment of target volume delineation in radiation therapy |
title | FIELD(RT): an open-source platform for the assessment of target volume delineation in radiation therapy |
title_full | FIELD(RT): an open-source platform for the assessment of target volume delineation in radiation therapy |
title_fullStr | FIELD(RT): an open-source platform for the assessment of target volume delineation in radiation therapy |
title_full_unstemmed | FIELD(RT): an open-source platform for the assessment of target volume delineation in radiation therapy |
title_short | FIELD(RT): an open-source platform for the assessment of target volume delineation in radiation therapy |
title_sort | field(rt): an open-source platform for the assessment of target volume delineation in radiation therapy |
topic | Full Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9328049/ https://www.ncbi.nlm.nih.gov/pubmed/34289317 http://dx.doi.org/10.1259/bjr.20210356 |
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