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The current status and shortcomings of stereotactic radiosurgery
BACKGROUND: Stereotactic radiosurgery (SRS) is a common treatment for intracranial lesions. This work explores the state of SRS treatment delivery to characterize current treatment accuracy based on treatment parameters. METHODS: NCI clinical trials involving SRS rely on an end-to-end treatment deli...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9154323/ https://www.ncbi.nlm.nih.gov/pubmed/35664554 http://dx.doi.org/10.1093/noajnl/vdac058 |
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author | Mehrens, Hunter Nguyen, Trang Edward, Sharbacha Hartzell, Shannon Glenn, Mallory Branco, Daniela Hernandez, Nadia Alvarez, Paola Molineu, Andrea Taylor, Paige Kry, Stephen |
author_facet | Mehrens, Hunter Nguyen, Trang Edward, Sharbacha Hartzell, Shannon Glenn, Mallory Branco, Daniela Hernandez, Nadia Alvarez, Paola Molineu, Andrea Taylor, Paige Kry, Stephen |
author_sort | Mehrens, Hunter |
collection | PubMed |
description | BACKGROUND: Stereotactic radiosurgery (SRS) is a common treatment for intracranial lesions. This work explores the state of SRS treatment delivery to characterize current treatment accuracy based on treatment parameters. METHODS: NCI clinical trials involving SRS rely on an end-to-end treatment delivery on a patient surrogate (credentialing phantom) from the Imaging and Radiation Oncology Core (IROC) to test their treatment accuracy. The results of 1072 SRS phantom irradiations between 2012 and 2020 were retrospectively analyzed. Univariate analysis and random forest models were used to associate irradiation conditions with phantom performance. The following categories were evaluated in terms of how they predicted outcomes: year of irradiation, TPS algorithm, machine model, energy, and delivered field size. RESULTS: Overall, only 84.6% of irradiations have met the IROC/NCI acceptability criteria. Pass rate has remained constant over time, while dose calculation accuracy has slightly improved. Dose calculation algorithm (P < .001), collimator (P = .024), and field size (P < .001) were statistically significant predictors of pass/fail. Specifically, pencil beam algorithms and cone collimators were more likely to be associated with failing phantom results. Random forest modeling identified the size of the field as the most important factor for passing or failing followed by algorithm. CONCLUSION: Constant throughout this retrospective study, approximately 15% of institutions fail to meet IROC/NCI standards for SRS treatment. In current clinical practice, this is particularly associated with smaller fields that yielded less accurate results. There is ongoing need to improve small field dosimetry, beam modeling, and QA to ensure high treatment quality, patient safety, and optimal clinical trials. |
format | Online Article Text |
id | pubmed-9154323 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-91543232022-06-04 The current status and shortcomings of stereotactic radiosurgery Mehrens, Hunter Nguyen, Trang Edward, Sharbacha Hartzell, Shannon Glenn, Mallory Branco, Daniela Hernandez, Nadia Alvarez, Paola Molineu, Andrea Taylor, Paige Kry, Stephen Neurooncol Adv Basic and Translational Investigations BACKGROUND: Stereotactic radiosurgery (SRS) is a common treatment for intracranial lesions. This work explores the state of SRS treatment delivery to characterize current treatment accuracy based on treatment parameters. METHODS: NCI clinical trials involving SRS rely on an end-to-end treatment delivery on a patient surrogate (credentialing phantom) from the Imaging and Radiation Oncology Core (IROC) to test their treatment accuracy. The results of 1072 SRS phantom irradiations between 2012 and 2020 were retrospectively analyzed. Univariate analysis and random forest models were used to associate irradiation conditions with phantom performance. The following categories were evaluated in terms of how they predicted outcomes: year of irradiation, TPS algorithm, machine model, energy, and delivered field size. RESULTS: Overall, only 84.6% of irradiations have met the IROC/NCI acceptability criteria. Pass rate has remained constant over time, while dose calculation accuracy has slightly improved. Dose calculation algorithm (P < .001), collimator (P = .024), and field size (P < .001) were statistically significant predictors of pass/fail. Specifically, pencil beam algorithms and cone collimators were more likely to be associated with failing phantom results. Random forest modeling identified the size of the field as the most important factor for passing or failing followed by algorithm. CONCLUSION: Constant throughout this retrospective study, approximately 15% of institutions fail to meet IROC/NCI standards for SRS treatment. In current clinical practice, this is particularly associated with smaller fields that yielded less accurate results. There is ongoing need to improve small field dosimetry, beam modeling, and QA to ensure high treatment quality, patient safety, and optimal clinical trials. Oxford University Press 2022-04-20 /pmc/articles/PMC9154323/ /pubmed/35664554 http://dx.doi.org/10.1093/noajnl/vdac058 Text en © The Author(s) 2022. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Basic and Translational Investigations Mehrens, Hunter Nguyen, Trang Edward, Sharbacha Hartzell, Shannon Glenn, Mallory Branco, Daniela Hernandez, Nadia Alvarez, Paola Molineu, Andrea Taylor, Paige Kry, Stephen The current status and shortcomings of stereotactic radiosurgery |
title | The current status and shortcomings of stereotactic radiosurgery |
title_full | The current status and shortcomings of stereotactic radiosurgery |
title_fullStr | The current status and shortcomings of stereotactic radiosurgery |
title_full_unstemmed | The current status and shortcomings of stereotactic radiosurgery |
title_short | The current status and shortcomings of stereotactic radiosurgery |
title_sort | current status and shortcomings of stereotactic radiosurgery |
topic | Basic and Translational Investigations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9154323/ https://www.ncbi.nlm.nih.gov/pubmed/35664554 http://dx.doi.org/10.1093/noajnl/vdac058 |
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