Real-time, volumetric imaging of radiation dose delivery deep into the liver during cancer treatment

Ionizing radiation acoustic imaging (iRAI) allows online monitoring of radiation’s interactions with tissues during radiation therapy, providing real-time, adaptive feedback for cancer treatments. We describe an iRAI volumetric imaging system that enables mapping of the three-dimensional (3D) radiat...

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Autores principales: Zhang, Wei, Oraiqat, Ibrahim, Litzenberg, Dale, Chang, Kai-Wei, Hadley, Scott, Sunbul, Noora Ba, Matuszak, Martha M., Tichacek, Christopher J., Moros, Eduardo G., Carson, Paul L., Cuneo, Kyle C., Wang, Xueding, El Naqa, Issam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2023
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Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10314963/
https://www.ncbi.nlm.nih.gov/pubmed/36593414
http://dx.doi.org/10.1038/s41587-022-01593-8
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author Zhang, Wei
Oraiqat, Ibrahim
Litzenberg, Dale
Chang, Kai-Wei
Hadley, Scott
Sunbul, Noora Ba
Matuszak, Martha M.
Tichacek, Christopher J.
Moros, Eduardo G.
Carson, Paul L.
Cuneo, Kyle C.
Wang, Xueding
El Naqa, Issam
author_facet Zhang, Wei
Oraiqat, Ibrahim
Litzenberg, Dale
Chang, Kai-Wei
Hadley, Scott
Sunbul, Noora Ba
Matuszak, Martha M.
Tichacek, Christopher J.
Moros, Eduardo G.
Carson, Paul L.
Cuneo, Kyle C.
Wang, Xueding
El Naqa, Issam
author_sort Zhang, Wei
collection PubMed
description Ionizing radiation acoustic imaging (iRAI) allows online monitoring of radiation’s interactions with tissues during radiation therapy, providing real-time, adaptive feedback for cancer treatments. We describe an iRAI volumetric imaging system that enables mapping of the three-dimensional (3D) radiation dose distribution in a complex clinical radiotherapy treatment. The method relies on a two-dimensional matrix array transducer and a matching multi-channel preamplifier board. The feasibility of imaging temporal 3D dose accumulation was first validated in a tissue-mimicking phantom. Next, semiquantitative iRAI relative dose measurements were verified in vivo in a rabbit model. Finally, real-time visualization of the 3D radiation dose delivered to a patient with liver metastases was accomplished with a clinical linear accelerator. These studies demonstrate the potential of iRAI to monitor and quantify the 3D radiation dose deposition during treatment, potentially improving radiotherapy treatment efficacy using real-time adaptive treatment.
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spelling pubmed-103149632023-08-13 Real-time, volumetric imaging of radiation dose delivery deep into the liver during cancer treatment Zhang, Wei Oraiqat, Ibrahim Litzenberg, Dale Chang, Kai-Wei Hadley, Scott Sunbul, Noora Ba Matuszak, Martha M. Tichacek, Christopher J. Moros, Eduardo G. Carson, Paul L. Cuneo, Kyle C. Wang, Xueding El Naqa, Issam Nat Biotechnol Article Ionizing radiation acoustic imaging (iRAI) allows online monitoring of radiation’s interactions with tissues during radiation therapy, providing real-time, adaptive feedback for cancer treatments. We describe an iRAI volumetric imaging system that enables mapping of the three-dimensional (3D) radiation dose distribution in a complex clinical radiotherapy treatment. The method relies on a two-dimensional matrix array transducer and a matching multi-channel preamplifier board. The feasibility of imaging temporal 3D dose accumulation was first validated in a tissue-mimicking phantom. Next, semiquantitative iRAI relative dose measurements were verified in vivo in a rabbit model. Finally, real-time visualization of the 3D radiation dose delivered to a patient with liver metastases was accomplished with a clinical linear accelerator. These studies demonstrate the potential of iRAI to monitor and quantify the 3D radiation dose deposition during treatment, potentially improving radiotherapy treatment efficacy using real-time adaptive treatment. Nature Publishing Group US 2023-01-02 2023 /pmc/articles/PMC10314963/ /pubmed/36593414 http://dx.doi.org/10.1038/s41587-022-01593-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Zhang, Wei
Oraiqat, Ibrahim
Litzenberg, Dale
Chang, Kai-Wei
Hadley, Scott
Sunbul, Noora Ba
Matuszak, Martha M.
Tichacek, Christopher J.
Moros, Eduardo G.
Carson, Paul L.
Cuneo, Kyle C.
Wang, Xueding
El Naqa, Issam
Real-time, volumetric imaging of radiation dose delivery deep into the liver during cancer treatment
title Real-time, volumetric imaging of radiation dose delivery deep into the liver during cancer treatment
title_full Real-time, volumetric imaging of radiation dose delivery deep into the liver during cancer treatment
title_fullStr Real-time, volumetric imaging of radiation dose delivery deep into the liver during cancer treatment
title_full_unstemmed Real-time, volumetric imaging of radiation dose delivery deep into the liver during cancer treatment
title_short Real-time, volumetric imaging of radiation dose delivery deep into the liver during cancer treatment
title_sort real-time, volumetric imaging of radiation dose delivery deep into the liver during cancer treatment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10314963/
https://www.ncbi.nlm.nih.gov/pubmed/36593414
http://dx.doi.org/10.1038/s41587-022-01593-8
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