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Quantifying false positional corrections due to facial motion using SGRT with open‐face Masks

PURPOSE: Studies have evaluated the viability of using open‐face masks as an immobilization technique to treat intracranial and head and neck cancers. This method offers less stress to the patient with comparable accuracy to closed‐face masks. Open‐face masks permit implementation of surface guided...

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Autores principales: Bry, Victoria, Licon, Anna Laura, McCulloch, James, Kirby, Neil, Myers, Pamela, Saenz, Daniel, Stathakis, Sotirios, Papanikolaou, Niko, Rasmussen, Karl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8035563/
https://www.ncbi.nlm.nih.gov/pubmed/33739569
http://dx.doi.org/10.1002/acm2.13170
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author Bry, Victoria
Licon, Anna Laura
McCulloch, James
Kirby, Neil
Myers, Pamela
Saenz, Daniel
Stathakis, Sotirios
Papanikolaou, Niko
Rasmussen, Karl
author_facet Bry, Victoria
Licon, Anna Laura
McCulloch, James
Kirby, Neil
Myers, Pamela
Saenz, Daniel
Stathakis, Sotirios
Papanikolaou, Niko
Rasmussen, Karl
author_sort Bry, Victoria
collection PubMed
description PURPOSE: Studies have evaluated the viability of using open‐face masks as an immobilization technique to treat intracranial and head and neck cancers. This method offers less stress to the patient with comparable accuracy to closed‐face masks. Open‐face masks permit implementation of surface guided radiation therapy (SGRT) to assist in positioning and motion management. Research suggests that changes in patient facial expressions may influence the SGRT system to generate false positional corrections. This study aims to quantify these errors produced by the SGRT system due to face motion. METHODS: Ten human subjects were immobilized using open‐face masks. Four discrete SGRT regions of interest (ROIs) were analyzed based on anatomical features to simulate different mask openings. The largest ROI was lateral to the cheeks, superior to the eyebrows, and inferior to the mouth. The smallest ROI included only the eyes and bridge of the nose. Subjects were asked to open and close their eyes and simulate fear and annoyance and peak isocenter shifts were recorded. This was performed in both standard and SRS specific resolutions with the C‐RAD Catalyst HD system. RESULTS: All four ROIs analyzed in SRS and Standard resolutions demonstrated an average deviation of 0.3 ± 0.3 mm for eyes closed and 0.4 ± 0.4 mm shift for eyes open, and 0.3 ± 0.3 mm for eyes closed and 0.8 ± 0.9 mm shift for eyes open. The average deviation observed due to changing facial expressions was 1.4 ± 0.9 mm for SRS specific and 1.6 ± 1.6 mm for standard resolution. CONCLUSION: The SGRT system can generate false positional corrections for face motion and this is amplified at lower resolutions and smaller ROIs. These errors should be considered in the overall tolerances and treatment plan when using open‐face masks with SGRT and may warrant additional radiographic imaging.
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spelling pubmed-80355632021-04-15 Quantifying false positional corrections due to facial motion using SGRT with open‐face Masks Bry, Victoria Licon, Anna Laura McCulloch, James Kirby, Neil Myers, Pamela Saenz, Daniel Stathakis, Sotirios Papanikolaou, Niko Rasmussen, Karl J Appl Clin Med Phys Technical Notes PURPOSE: Studies have evaluated the viability of using open‐face masks as an immobilization technique to treat intracranial and head and neck cancers. This method offers less stress to the patient with comparable accuracy to closed‐face masks. Open‐face masks permit implementation of surface guided radiation therapy (SGRT) to assist in positioning and motion management. Research suggests that changes in patient facial expressions may influence the SGRT system to generate false positional corrections. This study aims to quantify these errors produced by the SGRT system due to face motion. METHODS: Ten human subjects were immobilized using open‐face masks. Four discrete SGRT regions of interest (ROIs) were analyzed based on anatomical features to simulate different mask openings. The largest ROI was lateral to the cheeks, superior to the eyebrows, and inferior to the mouth. The smallest ROI included only the eyes and bridge of the nose. Subjects were asked to open and close their eyes and simulate fear and annoyance and peak isocenter shifts were recorded. This was performed in both standard and SRS specific resolutions with the C‐RAD Catalyst HD system. RESULTS: All four ROIs analyzed in SRS and Standard resolutions demonstrated an average deviation of 0.3 ± 0.3 mm for eyes closed and 0.4 ± 0.4 mm shift for eyes open, and 0.3 ± 0.3 mm for eyes closed and 0.8 ± 0.9 mm shift for eyes open. The average deviation observed due to changing facial expressions was 1.4 ± 0.9 mm for SRS specific and 1.6 ± 1.6 mm for standard resolution. CONCLUSION: The SGRT system can generate false positional corrections for face motion and this is amplified at lower resolutions and smaller ROIs. These errors should be considered in the overall tolerances and treatment plan when using open‐face masks with SGRT and may warrant additional radiographic imaging. John Wiley and Sons Inc. 2021-03-19 /pmc/articles/PMC8035563/ /pubmed/33739569 http://dx.doi.org/10.1002/acm2.13170 Text en © 2021 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, LLC. on behalf of American Association of Physicists in Medicine https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Technical Notes
Bry, Victoria
Licon, Anna Laura
McCulloch, James
Kirby, Neil
Myers, Pamela
Saenz, Daniel
Stathakis, Sotirios
Papanikolaou, Niko
Rasmussen, Karl
Quantifying false positional corrections due to facial motion using SGRT with open‐face Masks
title Quantifying false positional corrections due to facial motion using SGRT with open‐face Masks
title_full Quantifying false positional corrections due to facial motion using SGRT with open‐face Masks
title_fullStr Quantifying false positional corrections due to facial motion using SGRT with open‐face Masks
title_full_unstemmed Quantifying false positional corrections due to facial motion using SGRT with open‐face Masks
title_short Quantifying false positional corrections due to facial motion using SGRT with open‐face Masks
title_sort quantifying false positional corrections due to facial motion using sgrt with open‐face masks
topic Technical Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8035563/
https://www.ncbi.nlm.nih.gov/pubmed/33739569
http://dx.doi.org/10.1002/acm2.13170
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