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Photodynamic therapy outcome modelling for patients with spinal metastases: a simulation-based study

Spinal metastases often occur in the advanced stages of breast, lung or prostate cancer, resulting in a significant impact on the patient’s quality of life. Current treatment modalities for spinal metastases include both systemic and localized treatments that aim to decrease pain, improve mobility a...

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Autores principales: Yassine, Abdul-Amir, Lo, William C. Y., Saeidi, Tina, Ferguson, Dallis, Whyne, Cari M., Akens, Margarete K., Betz, Vaughn, Lilge, Lothar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8429418/
https://www.ncbi.nlm.nih.gov/pubmed/34504208
http://dx.doi.org/10.1038/s41598-021-97407-z
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author Yassine, Abdul-Amir
Lo, William C. Y.
Saeidi, Tina
Ferguson, Dallis
Whyne, Cari M.
Akens, Margarete K.
Betz, Vaughn
Lilge, Lothar
author_facet Yassine, Abdul-Amir
Lo, William C. Y.
Saeidi, Tina
Ferguson, Dallis
Whyne, Cari M.
Akens, Margarete K.
Betz, Vaughn
Lilge, Lothar
author_sort Yassine, Abdul-Amir
collection PubMed
description Spinal metastases often occur in the advanced stages of breast, lung or prostate cancer, resulting in a significant impact on the patient’s quality of life. Current treatment modalities for spinal metastases include both systemic and localized treatments that aim to decrease pain, improve mobility and structural stability, and control tumour growth. With the development of non-toxic photosensitizer drugs, photodynamic therapy (PDT) has shown promise as a minimally invasive non-thermal alternative in oncology, including for spinal metastases. To apply PDT to spinal metastases, predictive algorithms that optimize tumour treatment and minimize the risk of spinal cord damage are needed to assess the feasibility of the treatment and encourage a broad acceptance of PDT in clinical trials. This work presents a framework for PDT modelling and planning, and simulates the feasibility of using a BPD-MA mediated PDT to treat bone metastases at two different wavelengths (690 nm and 565 nm). An open-source software for PDT planning, PDT-SPACE, is used to evaluate different configurations of light diffusers (cut-end and cylindrical) fibres with optimized power allocation in order to minimize the damage to spinal cord or maximize tumour destruction. The work is simulated on three CT images of metastatically involved vertebrae acquired from three patients with spinal metastases secondary to colorectal or lung cancer. Simulation results show that PDT at a 565 nm wavelength has the ability to treat 90% of the metastatic lesion with less than 17% damage to the spinal cord. However, the energy required, and hence treatment time, to achieve this outcome with the 565 nm is infeasible. The energy required and treatment time for the longer wavelength of 690 nm is feasible ([Formula: see text]  min), but treatment aimed at 90% of the metastatic lesion would severely damage the proximal spinal cord. PDT-SPACE provides a simulation platform that can be used to optimize PDT delivery in the metastatic spine. While this work serves as a prospective methodology to analyze the feasibility of PDT for tumour ablation in the spine, preclinical studies in an animal model are ongoing to elucidate the spinal cord damage extent as a function of PDT dose, and the resulting short and long term functional impairments. These will be required before there can be any consideration of clinical trials.
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spelling pubmed-84294182021-09-10 Photodynamic therapy outcome modelling for patients with spinal metastases: a simulation-based study Yassine, Abdul-Amir Lo, William C. Y. Saeidi, Tina Ferguson, Dallis Whyne, Cari M. Akens, Margarete K. Betz, Vaughn Lilge, Lothar Sci Rep Article Spinal metastases often occur in the advanced stages of breast, lung or prostate cancer, resulting in a significant impact on the patient’s quality of life. Current treatment modalities for spinal metastases include both systemic and localized treatments that aim to decrease pain, improve mobility and structural stability, and control tumour growth. With the development of non-toxic photosensitizer drugs, photodynamic therapy (PDT) has shown promise as a minimally invasive non-thermal alternative in oncology, including for spinal metastases. To apply PDT to spinal metastases, predictive algorithms that optimize tumour treatment and minimize the risk of spinal cord damage are needed to assess the feasibility of the treatment and encourage a broad acceptance of PDT in clinical trials. This work presents a framework for PDT modelling and planning, and simulates the feasibility of using a BPD-MA mediated PDT to treat bone metastases at two different wavelengths (690 nm and 565 nm). An open-source software for PDT planning, PDT-SPACE, is used to evaluate different configurations of light diffusers (cut-end and cylindrical) fibres with optimized power allocation in order to minimize the damage to spinal cord or maximize tumour destruction. The work is simulated on three CT images of metastatically involved vertebrae acquired from three patients with spinal metastases secondary to colorectal or lung cancer. Simulation results show that PDT at a 565 nm wavelength has the ability to treat 90% of the metastatic lesion with less than 17% damage to the spinal cord. However, the energy required, and hence treatment time, to achieve this outcome with the 565 nm is infeasible. The energy required and treatment time for the longer wavelength of 690 nm is feasible ([Formula: see text]  min), but treatment aimed at 90% of the metastatic lesion would severely damage the proximal spinal cord. PDT-SPACE provides a simulation platform that can be used to optimize PDT delivery in the metastatic spine. While this work serves as a prospective methodology to analyze the feasibility of PDT for tumour ablation in the spine, preclinical studies in an animal model are ongoing to elucidate the spinal cord damage extent as a function of PDT dose, and the resulting short and long term functional impairments. These will be required before there can be any consideration of clinical trials. Nature Publishing Group UK 2021-09-09 /pmc/articles/PMC8429418/ /pubmed/34504208 http://dx.doi.org/10.1038/s41598-021-97407-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Yassine, Abdul-Amir
Lo, William C. Y.
Saeidi, Tina
Ferguson, Dallis
Whyne, Cari M.
Akens, Margarete K.
Betz, Vaughn
Lilge, Lothar
Photodynamic therapy outcome modelling for patients with spinal metastases: a simulation-based study
title Photodynamic therapy outcome modelling for patients with spinal metastases: a simulation-based study
title_full Photodynamic therapy outcome modelling for patients with spinal metastases: a simulation-based study
title_fullStr Photodynamic therapy outcome modelling for patients with spinal metastases: a simulation-based study
title_full_unstemmed Photodynamic therapy outcome modelling for patients with spinal metastases: a simulation-based study
title_short Photodynamic therapy outcome modelling for patients with spinal metastases: a simulation-based study
title_sort photodynamic therapy outcome modelling for patients with spinal metastases: a simulation-based study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8429418/
https://www.ncbi.nlm.nih.gov/pubmed/34504208
http://dx.doi.org/10.1038/s41598-021-97407-z
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