Comprehensive nodal breast VMAT: solving the low‐dose wash dilemma using an iterative knowledge‐based radiotherapy planning solution

Abstract Introduction Aimed to develop a simple and robust volumetric modulated arc radiotherapy (VMAT) solution for comprehensive lymph node (CLN) breast cancer without increase in low‐dose wash. Methods Forty CLN‐breast patient data sets were utilised to develop a knowledge‐based planning (KBP) VM...

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Main Authors: Cameron Stanton, Linda J. Bell, Andrew Le, Brooke Griffiths, Kenny Wu, Jessica Adams, Leigh Ambrose, Denise Andree‐Evarts, Brian Porter, Regina Bromley, Kirsten vanGysen, Marita Morgia, Gillian Lamoury, Thomas Eade, Jeremy T. Booth, Susan Carroll
Format: Article
Language:English
Published: Wiley 2022-03-01
Series:Journal of Medical Radiation Sciences
Subjects:
Online Access:https://doi.org/10.1002/jmrs.534
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author Cameron Stanton
Linda J. Bell
Andrew Le
Brooke Griffiths
Kenny Wu
Jessica Adams
Leigh Ambrose
Denise Andree‐Evarts
Brian Porter
Regina Bromley
Kirsten vanGysen
Marita Morgia
Gillian Lamoury
Thomas Eade
Jeremy T. Booth
Susan Carroll
author_facet Cameron Stanton
Linda J. Bell
Andrew Le
Brooke Griffiths
Kenny Wu
Jessica Adams
Leigh Ambrose
Denise Andree‐Evarts
Brian Porter
Regina Bromley
Kirsten vanGysen
Marita Morgia
Gillian Lamoury
Thomas Eade
Jeremy T. Booth
Susan Carroll
author_sort Cameron Stanton
collection DOAJ
description Abstract Introduction Aimed to develop a simple and robust volumetric modulated arc radiotherapy (VMAT) solution for comprehensive lymph node (CLN) breast cancer without increase in low‐dose wash. Methods Forty CLN‐breast patient data sets were utilised to develop a knowledge‐based planning (KBP) VMAT model, which limits low‐dose wash using iterative learning and base‐tangential methods as benchmark. Another twenty data sets were employed to validate the model comparing KBP‐generated ipsilateral VMAT (ipsi‐VMAT) plans against the benchmarked hybrid (h)‐VMAT (departmental standard) and bowtie‐VMAT (published best practice) methods. Planning target volume (PTV), conformity/homogeneity index (CI/HI), organ‐at‐risk (OAR), remaining‐volume‐at‐risk (RVR) and blinded radiation oncologist (RO) plan preference were evaluated. Results Ipsi‐ and bowtie‐VMAT plans were dosimetrically equivalent, achieving greater nodal target coverage (P < 0.05) compared to h‐VMAT with minor reduction in breast coverage. CI was enhanced for a small reduction in breast HI with improved dose sparing to ipsilateral‐lung and humeral head (P < 0.05) at immaterial expense to spinal cord. Significantly, low‐dose wash to OARs and RVR were comparable between all plan types demonstrating a simple VMAT class solution robust to patient‐specific anatomic variation can be applied to CLN breast without need for complex beam modification (hybrid plans, avoidance sectors or other). This result was supported by blinded RO review. Conclusions A simple and robust ipsilateral VMAT class solution for CLN breast generated using iterative KBP modelling can achieve clinically acceptable target coverage and OAR sparing without unwanted increase in low‐dose wash associated with increased second malignancy risk.
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spelling doaj.art-dafd2569179a4998af1dfaf94b84caaf2022-12-21T20:04:26ZengWileyJournal of Medical Radiation Sciences2051-38952051-39092022-03-01691859710.1002/jmrs.534Comprehensive nodal breast VMAT: solving the low‐dose wash dilemma using an iterative knowledge‐based radiotherapy planning solutionCameron Stanton0Linda J. Bell1Andrew Le2Brooke Griffiths3Kenny Wu4Jessica Adams5Leigh Ambrose6Denise Andree‐Evarts7Brian Porter8Regina Bromley9Kirsten vanGysen10Marita Morgia11Gillian Lamoury12Thomas Eade13Jeremy T. Booth14Susan Carroll15Radiation Oncology Department Northern Sydney Cancer Centre Royal North Shore Hospital St Leonards New South Wales AustraliaRadiation Oncology Department Northern Sydney Cancer Centre Royal North Shore Hospital St Leonards New South Wales AustraliaRadiation Oncology Department Northern Sydney Cancer Centre Royal North Shore Hospital St Leonards New South Wales AustraliaRadiation Oncology Department Northern Sydney Cancer Centre Royal North Shore Hospital St Leonards New South Wales AustraliaRadiation Oncology Department Northern Sydney Cancer Centre Royal North Shore Hospital St Leonards New South Wales AustraliaRadiation Oncology Department Northern Sydney Cancer Centre Royal North Shore Hospital St Leonards New South Wales AustraliaRadiation Oncology Department Northern Sydney Cancer Centre Royal North Shore Hospital St Leonards New South Wales AustraliaRadiation Oncology Department Northern Sydney Cancer Centre Royal North Shore Hospital St Leonards New South Wales AustraliaRadiation Oncology Department Northern Sydney Cancer Centre Royal North Shore Hospital St Leonards New South Wales AustraliaRadiation Oncology Department Northern Sydney Cancer Centre Royal North Shore Hospital St Leonards New South Wales AustraliaRadiation Oncology Department Northern Sydney Cancer Centre Royal North Shore Hospital St Leonards New South Wales AustraliaRadiation Oncology Department Northern Sydney Cancer Centre Royal North Shore Hospital St Leonards New South Wales AustraliaRadiation Oncology Department Northern Sydney Cancer Centre Royal North Shore Hospital St Leonards New South Wales AustraliaRadiation Oncology Department Northern Sydney Cancer Centre Royal North Shore Hospital St Leonards New South Wales AustraliaRadiation Oncology Department Northern Sydney Cancer Centre Royal North Shore Hospital St Leonards New South Wales AustraliaRadiation Oncology Department Northern Sydney Cancer Centre Royal North Shore Hospital St Leonards New South Wales AustraliaAbstract Introduction Aimed to develop a simple and robust volumetric modulated arc radiotherapy (VMAT) solution for comprehensive lymph node (CLN) breast cancer without increase in low‐dose wash. Methods Forty CLN‐breast patient data sets were utilised to develop a knowledge‐based planning (KBP) VMAT model, which limits low‐dose wash using iterative learning and base‐tangential methods as benchmark. Another twenty data sets were employed to validate the model comparing KBP‐generated ipsilateral VMAT (ipsi‐VMAT) plans against the benchmarked hybrid (h)‐VMAT (departmental standard) and bowtie‐VMAT (published best practice) methods. Planning target volume (PTV), conformity/homogeneity index (CI/HI), organ‐at‐risk (OAR), remaining‐volume‐at‐risk (RVR) and blinded radiation oncologist (RO) plan preference were evaluated. Results Ipsi‐ and bowtie‐VMAT plans were dosimetrically equivalent, achieving greater nodal target coverage (P < 0.05) compared to h‐VMAT with minor reduction in breast coverage. CI was enhanced for a small reduction in breast HI with improved dose sparing to ipsilateral‐lung and humeral head (P < 0.05) at immaterial expense to spinal cord. Significantly, low‐dose wash to OARs and RVR were comparable between all plan types demonstrating a simple VMAT class solution robust to patient‐specific anatomic variation can be applied to CLN breast without need for complex beam modification (hybrid plans, avoidance sectors or other). This result was supported by blinded RO review. Conclusions A simple and robust ipsilateral VMAT class solution for CLN breast generated using iterative KBP modelling can achieve clinically acceptable target coverage and OAR sparing without unwanted increase in low‐dose wash associated with increased second malignancy risk.https://doi.org/10.1002/jmrs.534Breastcancerknowledge‐based planninglymph nodesradiotherapysimultaneous integrated boost (SIB)
spellingShingle Cameron Stanton
Linda J. Bell
Andrew Le
Brooke Griffiths
Kenny Wu
Jessica Adams
Leigh Ambrose
Denise Andree‐Evarts
Brian Porter
Regina Bromley
Kirsten vanGysen
Marita Morgia
Gillian Lamoury
Thomas Eade
Jeremy T. Booth
Susan Carroll
Comprehensive nodal breast VMAT: solving the low‐dose wash dilemma using an iterative knowledge‐based radiotherapy planning solution
Journal of Medical Radiation Sciences
Breast
cancer
knowledge‐based planning
lymph nodes
radiotherapy
simultaneous integrated boost (SIB)
title Comprehensive nodal breast VMAT: solving the low‐dose wash dilemma using an iterative knowledge‐based radiotherapy planning solution
title_full Comprehensive nodal breast VMAT: solving the low‐dose wash dilemma using an iterative knowledge‐based radiotherapy planning solution
title_fullStr Comprehensive nodal breast VMAT: solving the low‐dose wash dilemma using an iterative knowledge‐based radiotherapy planning solution
title_full_unstemmed Comprehensive nodal breast VMAT: solving the low‐dose wash dilemma using an iterative knowledge‐based radiotherapy planning solution
title_short Comprehensive nodal breast VMAT: solving the low‐dose wash dilemma using an iterative knowledge‐based radiotherapy planning solution
title_sort comprehensive nodal breast vmat solving the low dose wash dilemma using an iterative knowledge based radiotherapy planning solution
topic Breast
cancer
knowledge‐based planning
lymph nodes
radiotherapy
simultaneous integrated boost (SIB)
url https://doi.org/10.1002/jmrs.534
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