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Modulation of Tumor-Treating Fields by Cerebral Edema from Brain Tumors

PURPOSE: Cerebral edema is an important component of brain metastasis, and its presence may alter the distribution of tumor-treating fields (TTFields). We therefore performed a computational study to model the extent of this alteration according to various edema conditions associated with the metast...

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Autores principales: Lok, Edwin, Clark, Matthew, Liang, Olivia, Malik, Talbia, Koo, Sophia, Wong, Eric T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723310/
https://www.ncbi.nlm.nih.gov/pubmed/36483066
http://dx.doi.org/10.1016/j.adro.2022.101046
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author Lok, Edwin
Clark, Matthew
Liang, Olivia
Malik, Talbia
Koo, Sophia
Wong, Eric T.
author_facet Lok, Edwin
Clark, Matthew
Liang, Olivia
Malik, Talbia
Koo, Sophia
Wong, Eric T.
author_sort Lok, Edwin
collection PubMed
description PURPOSE: Cerebral edema is an important component of brain metastasis, and its presence may alter the distribution of tumor-treating fields (TTFields). We therefore performed a computational study to model the extent of this alteration according to various edema conditions associated with the metastasis. METHODS AND MATERIALS: Postacquisition magnetic resonance imaging data sets were obtained from 2 patients with solitary brain metastases from non-small cell lung cancer. After delineation of various anatomies, a 3-dimensional finite element mesh model was generated and then solved for the distribution of applied electric fields, rate of energy deposition, and current density at the gross tumor volume (GTV), edema, and other cranial structures. Electric field–volume histograms, specific absorption rate–volume histograms, and current density–volume histograms were generated, by which plan quality metrics were derived from and used to evaluate relative differences in field coverage between models under various conditions. RESULTS: Changes in the conductivity of cerebral edema altered the electric fields, rate of energy deposition, and current density at the GTV region. At the cerebral edema region, increasing electric conductivity of the edema only decreased the electric fields and rate of energy deposition while the current density increased. The ratio of edema-to-tumor is also important because the plan quality metrics increased linearly when the edema-to-GTV ratio decreased, and increased vice versa. Furthermore, a conductive necrotic core additionally altered the distribution of TTFields according to the plan quality metrics. CONCLUSIONS: Our modeling study demonstrated that cerebral edema alters the distribution of applied TTFields in patients. Personalized treatment planning will need to take into account the modulating effects of cerebral edema on TTFields as well as additional effects from a necrotic core inside the GTV.
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spelling pubmed-97233102022-12-07 Modulation of Tumor-Treating Fields by Cerebral Edema from Brain Tumors Lok, Edwin Clark, Matthew Liang, Olivia Malik, Talbia Koo, Sophia Wong, Eric T. Adv Radiat Oncol Scientific Article PURPOSE: Cerebral edema is an important component of brain metastasis, and its presence may alter the distribution of tumor-treating fields (TTFields). We therefore performed a computational study to model the extent of this alteration according to various edema conditions associated with the metastasis. METHODS AND MATERIALS: Postacquisition magnetic resonance imaging data sets were obtained from 2 patients with solitary brain metastases from non-small cell lung cancer. After delineation of various anatomies, a 3-dimensional finite element mesh model was generated and then solved for the distribution of applied electric fields, rate of energy deposition, and current density at the gross tumor volume (GTV), edema, and other cranial structures. Electric field–volume histograms, specific absorption rate–volume histograms, and current density–volume histograms were generated, by which plan quality metrics were derived from and used to evaluate relative differences in field coverage between models under various conditions. RESULTS: Changes in the conductivity of cerebral edema altered the electric fields, rate of energy deposition, and current density at the GTV region. At the cerebral edema region, increasing electric conductivity of the edema only decreased the electric fields and rate of energy deposition while the current density increased. The ratio of edema-to-tumor is also important because the plan quality metrics increased linearly when the edema-to-GTV ratio decreased, and increased vice versa. Furthermore, a conductive necrotic core additionally altered the distribution of TTFields according to the plan quality metrics. CONCLUSIONS: Our modeling study demonstrated that cerebral edema alters the distribution of applied TTFields in patients. Personalized treatment planning will need to take into account the modulating effects of cerebral edema on TTFields as well as additional effects from a necrotic core inside the GTV. Elsevier 2022-08-06 /pmc/articles/PMC9723310/ /pubmed/36483066 http://dx.doi.org/10.1016/j.adro.2022.101046 Text en © 2022 The Author(s) https://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 Scientific Article
Lok, Edwin
Clark, Matthew
Liang, Olivia
Malik, Talbia
Koo, Sophia
Wong, Eric T.
Modulation of Tumor-Treating Fields by Cerebral Edema from Brain Tumors
title Modulation of Tumor-Treating Fields by Cerebral Edema from Brain Tumors
title_full Modulation of Tumor-Treating Fields by Cerebral Edema from Brain Tumors
title_fullStr Modulation of Tumor-Treating Fields by Cerebral Edema from Brain Tumors
title_full_unstemmed Modulation of Tumor-Treating Fields by Cerebral Edema from Brain Tumors
title_short Modulation of Tumor-Treating Fields by Cerebral Edema from Brain Tumors
title_sort modulation of tumor-treating fields by cerebral edema from brain tumors
topic Scientific Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723310/
https://www.ncbi.nlm.nih.gov/pubmed/36483066
http://dx.doi.org/10.1016/j.adro.2022.101046
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