Cargando…

Benchmarking the AlignRT surface deformation module for the early detection and quantification of oedema in breast cancer radiotherapy

PURPOSE: To determine the accuracy of AlignRT surface deformation module in detecting and quantifying oedema in breast cancer radiotherapy. MATERIALS AND METHODS: A female torso phantom and water-equivalent boluses of different thicknesses (0.5–1.5 cm) were used. The variation of surface displacemen...

Descripción completa

Detalles Bibliográficos
Autores principales: Sorgato, Veronica, Ghazouani, Khaoula, Queffelec, Yann, Julia, Frederic, Clement, Sophie, Fric, Daniele, Farah, Jad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8777118/
https://www.ncbi.nlm.nih.gov/pubmed/35079643
http://dx.doi.org/10.1016/j.tipsro.2021.12.002
_version_ 1784636993186037760
author Sorgato, Veronica
Ghazouani, Khaoula
Queffelec, Yann
Julia, Frederic
Clement, Sophie
Fric, Daniele
Farah, Jad
author_facet Sorgato, Veronica
Ghazouani, Khaoula
Queffelec, Yann
Julia, Frederic
Clement, Sophie
Fric, Daniele
Farah, Jad
author_sort Sorgato, Veronica
collection PubMed
description PURPOSE: To determine the accuracy of AlignRT surface deformation module in detecting and quantifying oedema in breast cancer radiotherapy. MATERIALS AND METHODS: A female torso phantom and water-equivalent boluses of different thicknesses (0.5–1.5 cm) were used. The variation of surface displacement and the percentage of surface within tolerance, as a function of bolus thickness and Region of Interest (ROI) size, were investigated. Additionally, a dynamic phantom was used to study the impact of patient breathing on the swelling estimation. Lastly, a flowchart was derived to alert physicians in the case of breast swelling. RESULTS: Average displacement value proved to be inversely correlated with ROI size (R(2) > 0.9). As such, for a ROI smaller than the bolus size (2.5x2.5 cm(2)), the average displacement (1.05 cm) provides an accurate estimate of the oedema thickness (within 5%). In opposition, with a clinical ROI, the 1 cm-thick bolus was largely underestimated with an average displacement value of 0.28 cm only. To limit the impact of patient breathing on surface deformation, dynamic surface captures and the use of the corrected patient position should be privileged. Using AlignRT, a clinical workflow for breast swelling follow-up was developed to help in the decision for repeat simulation and dosimetry. CONCLUSION: The surface deformation module provides an accurate, simple, and radiation-free approach to detect and quantify breast oedema during the course of radiotherapy.
format Online
Article
Text
id pubmed-8777118
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-87771182022-01-24 Benchmarking the AlignRT surface deformation module for the early detection and quantification of oedema in breast cancer radiotherapy Sorgato, Veronica Ghazouani, Khaoula Queffelec, Yann Julia, Frederic Clement, Sophie Fric, Daniele Farah, Jad Tech Innov Patient Support Radiat Oncol Virtual Special Issue on: Implementation and practice of surface-guided radiation therapy (SGRT); Edited by Mirjam Mast and Sophie Perryck PURPOSE: To determine the accuracy of AlignRT surface deformation module in detecting and quantifying oedema in breast cancer radiotherapy. MATERIALS AND METHODS: A female torso phantom and water-equivalent boluses of different thicknesses (0.5–1.5 cm) were used. The variation of surface displacement and the percentage of surface within tolerance, as a function of bolus thickness and Region of Interest (ROI) size, were investigated. Additionally, a dynamic phantom was used to study the impact of patient breathing on the swelling estimation. Lastly, a flowchart was derived to alert physicians in the case of breast swelling. RESULTS: Average displacement value proved to be inversely correlated with ROI size (R(2) > 0.9). As such, for a ROI smaller than the bolus size (2.5x2.5 cm(2)), the average displacement (1.05 cm) provides an accurate estimate of the oedema thickness (within 5%). In opposition, with a clinical ROI, the 1 cm-thick bolus was largely underestimated with an average displacement value of 0.28 cm only. To limit the impact of patient breathing on surface deformation, dynamic surface captures and the use of the corrected patient position should be privileged. Using AlignRT, a clinical workflow for breast swelling follow-up was developed to help in the decision for repeat simulation and dosimetry. CONCLUSION: The surface deformation module provides an accurate, simple, and radiation-free approach to detect and quantify breast oedema during the course of radiotherapy. Elsevier 2022-01-15 /pmc/articles/PMC8777118/ /pubmed/35079643 http://dx.doi.org/10.1016/j.tipsro.2021.12.002 Text en © 2022 The Authors. Published by Elsevier B.V. on behalf of European Society for Radiotherapy & Oncology. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Virtual Special Issue on: Implementation and practice of surface-guided radiation therapy (SGRT); Edited by Mirjam Mast and Sophie Perryck
Sorgato, Veronica
Ghazouani, Khaoula
Queffelec, Yann
Julia, Frederic
Clement, Sophie
Fric, Daniele
Farah, Jad
Benchmarking the AlignRT surface deformation module for the early detection and quantification of oedema in breast cancer radiotherapy
title Benchmarking the AlignRT surface deformation module for the early detection and quantification of oedema in breast cancer radiotherapy
title_full Benchmarking the AlignRT surface deformation module for the early detection and quantification of oedema in breast cancer radiotherapy
title_fullStr Benchmarking the AlignRT surface deformation module for the early detection and quantification of oedema in breast cancer radiotherapy
title_full_unstemmed Benchmarking the AlignRT surface deformation module for the early detection and quantification of oedema in breast cancer radiotherapy
title_short Benchmarking the AlignRT surface deformation module for the early detection and quantification of oedema in breast cancer radiotherapy
title_sort benchmarking the alignrt surface deformation module for the early detection and quantification of oedema in breast cancer radiotherapy
topic Virtual Special Issue on: Implementation and practice of surface-guided radiation therapy (SGRT); Edited by Mirjam Mast and Sophie Perryck
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8777118/
https://www.ncbi.nlm.nih.gov/pubmed/35079643
http://dx.doi.org/10.1016/j.tipsro.2021.12.002
work_keys_str_mv AT sorgatoveronica benchmarkingthealignrtsurfacedeformationmodulefortheearlydetectionandquantificationofoedemainbreastcancerradiotherapy
AT ghazouanikhaoula benchmarkingthealignrtsurfacedeformationmodulefortheearlydetectionandquantificationofoedemainbreastcancerradiotherapy
AT queffelecyann benchmarkingthealignrtsurfacedeformationmodulefortheearlydetectionandquantificationofoedemainbreastcancerradiotherapy
AT juliafrederic benchmarkingthealignrtsurfacedeformationmodulefortheearlydetectionandquantificationofoedemainbreastcancerradiotherapy
AT clementsophie benchmarkingthealignrtsurfacedeformationmodulefortheearlydetectionandquantificationofoedemainbreastcancerradiotherapy
AT fricdaniele benchmarkingthealignrtsurfacedeformationmodulefortheearlydetectionandquantificationofoedemainbreastcancerradiotherapy
AT farahjad benchmarkingthealignrtsurfacedeformationmodulefortheearlydetectionandquantificationofoedemainbreastcancerradiotherapy