Cargando…

Use of a healthy volunteer imaging program to optimize clinical implementation of stereotactic MR-guided adaptive radiotherapy

PURPOSE: MR-linacs (MRLs) have enabled the use of stereotactic magnetic resonance (MR) guided online adaptive radiotherapy (SMART) across many cancers. As data emerges to support SMART, uncertainty remains regarding optimal technical parameters, such as optimal patient positioning, immobilization, i...

Descripción completa

Detalles Bibliográficos
Autores principales: Boyle, Patrick J., Huynh, Elizabeth, Boyle, Sara, Campbell, Jennifer, Penney, Jessica, Usta, Iquan, Neubauer Sugar, Emily, Hacker, Fred, Williams, Christopher, Cagney, Daniel, Mak, Raymond, Singer, Lisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7710639/
https://www.ncbi.nlm.nih.gov/pubmed/33305025
http://dx.doi.org/10.1016/j.tipsro.2020.10.004
_version_ 1783617977055182848
author Boyle, Patrick J.
Huynh, Elizabeth
Boyle, Sara
Campbell, Jennifer
Penney, Jessica
Usta, Iquan
Neubauer Sugar, Emily
Hacker, Fred
Williams, Christopher
Cagney, Daniel
Mak, Raymond
Singer, Lisa
author_facet Boyle, Patrick J.
Huynh, Elizabeth
Boyle, Sara
Campbell, Jennifer
Penney, Jessica
Usta, Iquan
Neubauer Sugar, Emily
Hacker, Fred
Williams, Christopher
Cagney, Daniel
Mak, Raymond
Singer, Lisa
author_sort Boyle, Patrick J.
collection PubMed
description PURPOSE: MR-linacs (MRLs) have enabled the use of stereotactic magnetic resonance (MR) guided online adaptive radiotherapy (SMART) across many cancers. As data emerges to support SMART, uncertainty remains regarding optimal technical parameters, such as optimal patient positioning, immobilization, image quality, and contouring protocols. Prior to clinical implementation of SMART, we conducted a prospective study in healthy volunteers (HVs) to determine optimal technical parameters and to develop and practice a multidisciplinary SMART workflow. METHODS: HVs 18 years or older were eligible to participate in this IRB-approved study. Using a 0.35 T MRL, simulated adaptive treatments were performed by a multi-disciplinary treatment team in HVs. For each scan, image quality parameters were assessed on a 5-point scale (5 = extremely high, 1 = extremely poor). Adaptive recontouring times were compared between HVs and subsequent clinical cases with a t-test. RESULTS: 18 simulated treatments were performed in HVs on MRL. Mean parameters for visibility of target, visibility of nearby organs, and overall image quality were 4.58, 4.62, and 4.62, respectively (range of 4–5 for all measures). In HVs, mean ART was 15.7 min (range 4–35), comparable to mean of 16.1 (range 7–33) in the clinical cases (p = 0.8963). Using HV cases, optimal simulation and contouring guidelines were developed across a range of disease sites and have since been implemented clinically. CONCLUSIONS: Prior to clinical implementation of SMART, scans of HVs on an MRL resulted in acceptable image quality and target visibility across a range of organs with similar ARTs to clinical SMART. We continue to utilize HV scans prior to clinical implementation of SMART in new disease sites and to further optimize target tracking and immobilization. Further study is needed to determine the optimal duration of HV scanning prior to clinical implementation.
format Online
Article
Text
id pubmed-7710639
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-77106392020-12-09 Use of a healthy volunteer imaging program to optimize clinical implementation of stereotactic MR-guided adaptive radiotherapy Boyle, Patrick J. Huynh, Elizabeth Boyle, Sara Campbell, Jennifer Penney, Jessica Usta, Iquan Neubauer Sugar, Emily Hacker, Fred Williams, Christopher Cagney, Daniel Mak, Raymond Singer, Lisa Tech Innov Patient Support Radiat Oncol Research Article PURPOSE: MR-linacs (MRLs) have enabled the use of stereotactic magnetic resonance (MR) guided online adaptive radiotherapy (SMART) across many cancers. As data emerges to support SMART, uncertainty remains regarding optimal technical parameters, such as optimal patient positioning, immobilization, image quality, and contouring protocols. Prior to clinical implementation of SMART, we conducted a prospective study in healthy volunteers (HVs) to determine optimal technical parameters and to develop and practice a multidisciplinary SMART workflow. METHODS: HVs 18 years or older were eligible to participate in this IRB-approved study. Using a 0.35 T MRL, simulated adaptive treatments were performed by a multi-disciplinary treatment team in HVs. For each scan, image quality parameters were assessed on a 5-point scale (5 = extremely high, 1 = extremely poor). Adaptive recontouring times were compared between HVs and subsequent clinical cases with a t-test. RESULTS: 18 simulated treatments were performed in HVs on MRL. Mean parameters for visibility of target, visibility of nearby organs, and overall image quality were 4.58, 4.62, and 4.62, respectively (range of 4–5 for all measures). In HVs, mean ART was 15.7 min (range 4–35), comparable to mean of 16.1 (range 7–33) in the clinical cases (p = 0.8963). Using HV cases, optimal simulation and contouring guidelines were developed across a range of disease sites and have since been implemented clinically. CONCLUSIONS: Prior to clinical implementation of SMART, scans of HVs on an MRL resulted in acceptable image quality and target visibility across a range of organs with similar ARTs to clinical SMART. We continue to utilize HV scans prior to clinical implementation of SMART in new disease sites and to further optimize target tracking and immobilization. Further study is needed to determine the optimal duration of HV scanning prior to clinical implementation. Elsevier 2020-11-29 /pmc/articles/PMC7710639/ /pubmed/33305025 http://dx.doi.org/10.1016/j.tipsro.2020.10.004 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Boyle, Patrick J.
Huynh, Elizabeth
Boyle, Sara
Campbell, Jennifer
Penney, Jessica
Usta, Iquan
Neubauer Sugar, Emily
Hacker, Fred
Williams, Christopher
Cagney, Daniel
Mak, Raymond
Singer, Lisa
Use of a healthy volunteer imaging program to optimize clinical implementation of stereotactic MR-guided adaptive radiotherapy
title Use of a healthy volunteer imaging program to optimize clinical implementation of stereotactic MR-guided adaptive radiotherapy
title_full Use of a healthy volunteer imaging program to optimize clinical implementation of stereotactic MR-guided adaptive radiotherapy
title_fullStr Use of a healthy volunteer imaging program to optimize clinical implementation of stereotactic MR-guided adaptive radiotherapy
title_full_unstemmed Use of a healthy volunteer imaging program to optimize clinical implementation of stereotactic MR-guided adaptive radiotherapy
title_short Use of a healthy volunteer imaging program to optimize clinical implementation of stereotactic MR-guided adaptive radiotherapy
title_sort use of a healthy volunteer imaging program to optimize clinical implementation of stereotactic mr-guided adaptive radiotherapy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7710639/
https://www.ncbi.nlm.nih.gov/pubmed/33305025
http://dx.doi.org/10.1016/j.tipsro.2020.10.004
work_keys_str_mv AT boylepatrickj useofahealthyvolunteerimagingprogramtooptimizeclinicalimplementationofstereotacticmrguidedadaptiveradiotherapy
AT huynhelizabeth useofahealthyvolunteerimagingprogramtooptimizeclinicalimplementationofstereotacticmrguidedadaptiveradiotherapy
AT boylesara useofahealthyvolunteerimagingprogramtooptimizeclinicalimplementationofstereotacticmrguidedadaptiveradiotherapy
AT campbelljennifer useofahealthyvolunteerimagingprogramtooptimizeclinicalimplementationofstereotacticmrguidedadaptiveradiotherapy
AT penneyjessica useofahealthyvolunteerimagingprogramtooptimizeclinicalimplementationofstereotacticmrguidedadaptiveradiotherapy
AT ustaiquan useofahealthyvolunteerimagingprogramtooptimizeclinicalimplementationofstereotacticmrguidedadaptiveradiotherapy
AT neubauersugaremily useofahealthyvolunteerimagingprogramtooptimizeclinicalimplementationofstereotacticmrguidedadaptiveradiotherapy
AT hackerfred useofahealthyvolunteerimagingprogramtooptimizeclinicalimplementationofstereotacticmrguidedadaptiveradiotherapy
AT williamschristopher useofahealthyvolunteerimagingprogramtooptimizeclinicalimplementationofstereotacticmrguidedadaptiveradiotherapy
AT cagneydaniel useofahealthyvolunteerimagingprogramtooptimizeclinicalimplementationofstereotacticmrguidedadaptiveradiotherapy
AT makraymond useofahealthyvolunteerimagingprogramtooptimizeclinicalimplementationofstereotacticmrguidedadaptiveradiotherapy
AT singerlisa useofahealthyvolunteerimagingprogramtooptimizeclinicalimplementationofstereotacticmrguidedadaptiveradiotherapy