A proof-of-concept study of the in-vivo validation of a computational fluid dynamics model of personalized radioembolization

Abstract Radioembolization (RE) with yttrium-90 (90Y) microspheres, a transcatheter intraarterial therapy for patients with liver cancer, can be modeled computationally. The purpose of this work was to correlate the results obtained with this methodology using in vivo data, so that this computationa...

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Autores principales:	Raúl Antón, Javier Antoñana, Jorge Aramburu, Ana Ezponda, Elena Prieto, Asier Andonegui, Julio Ortega, Isabel Vivas, Lidia Sancho, Bruno Sangro, José Ignacio Bilbao, Macarena Rodríguez-Fraile
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/42469bf5b02449e0965b8a0d6c87bc54
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spelling	oai:doaj.org-article:42469bf5b02449e0965b8a0d6c87bc542021-12-02T10:54:22ZA proof-of-concept study of the in-vivo validation of a computational fluid dynamics model of personalized radioembolization10.1038/s41598-021-83414-72045-2322https://doaj.org/article/42469bf5b02449e0965b8a0d6c87bc542021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-83414-7https://doaj.org/toc/2045-2322Abstract Radioembolization (RE) with yttrium-90 (90Y) microspheres, a transcatheter intraarterial therapy for patients with liver cancer, can be modeled computationally. The purpose of this work was to correlate the results obtained with this methodology using in vivo data, so that this computational tool could be used for the optimization of the RE procedure. The hepatic artery three-dimensional (3D) hemodynamics and microsphere distribution during RE were modeled for six 90Y-loaded microsphere infusions in three patients with hepatocellular carcinoma using a commercially available computational fluid dynamics (CFD) software package. The model was built based on in vivo data acquired during the pretreatment stage. The results of the simulations were compared with the in vivo distribution assessed by 90Y PET/CT. Specifically, the microsphere distribution predicted was compared with the actual 90Y activity per liver segment with a commercially available 3D-voxel dosimetry software (PLANET Dose, DOSIsoft). The average difference between the CFD-based and the PET/CT-based activity distribution was 2.36 percentage points for Patient 1, 3.51 percentage points for Patient 2 and 2.02 percentage points for Patient 3. These results suggest that CFD simulations may help to predict 90Y-microsphere distribution after RE and could be used to optimize the RE procedure on a patient-specific basis.Raúl AntónJavier AntoñanaJorge AramburuAna EzpondaElena PrietoAsier AndoneguiJulio OrtegaIsabel VivasLidia SanchoBruno SangroJosé Ignacio BilbaoMacarena Rodríguez-FraileNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Raúl Antón Javier Antoñana Jorge Aramburu Ana Ezponda Elena Prieto Asier Andonegui Julio Ortega Isabel Vivas Lidia Sancho Bruno Sangro José Ignacio Bilbao Macarena Rodríguez-Fraile A proof-of-concept study of the in-vivo validation of a computational fluid dynamics model of personalized radioembolization
description	Abstract Radioembolization (RE) with yttrium-90 (90Y) microspheres, a transcatheter intraarterial therapy for patients with liver cancer, can be modeled computationally. The purpose of this work was to correlate the results obtained with this methodology using in vivo data, so that this computational tool could be used for the optimization of the RE procedure. The hepatic artery three-dimensional (3D) hemodynamics and microsphere distribution during RE were modeled for six 90Y-loaded microsphere infusions in three patients with hepatocellular carcinoma using a commercially available computational fluid dynamics (CFD) software package. The model was built based on in vivo data acquired during the pretreatment stage. The results of the simulations were compared with the in vivo distribution assessed by 90Y PET/CT. Specifically, the microsphere distribution predicted was compared with the actual 90Y activity per liver segment with a commercially available 3D-voxel dosimetry software (PLANET Dose, DOSIsoft). The average difference between the CFD-based and the PET/CT-based activity distribution was 2.36 percentage points for Patient 1, 3.51 percentage points for Patient 2 and 2.02 percentage points for Patient 3. These results suggest that CFD simulations may help to predict 90Y-microsphere distribution after RE and could be used to optimize the RE procedure on a patient-specific basis.
format	article
author	Raúl Antón Javier Antoñana Jorge Aramburu Ana Ezponda Elena Prieto Asier Andonegui Julio Ortega Isabel Vivas Lidia Sancho Bruno Sangro José Ignacio Bilbao Macarena Rodríguez-Fraile
author_facet	Raúl Antón Javier Antoñana Jorge Aramburu Ana Ezponda Elena Prieto Asier Andonegui Julio Ortega Isabel Vivas Lidia Sancho Bruno Sangro José Ignacio Bilbao Macarena Rodríguez-Fraile
author_sort	Raúl Antón
title	A proof-of-concept study of the in-vivo validation of a computational fluid dynamics model of personalized radioembolization
title_short	A proof-of-concept study of the in-vivo validation of a computational fluid dynamics model of personalized radioembolization
title_full	A proof-of-concept study of the in-vivo validation of a computational fluid dynamics model of personalized radioembolization
title_fullStr	A proof-of-concept study of the in-vivo validation of a computational fluid dynamics model of personalized radioembolization
title_full_unstemmed	A proof-of-concept study of the in-vivo validation of a computational fluid dynamics model of personalized radioembolization
title_sort	proof-of-concept study of the in-vivo validation of a computational fluid dynamics model of personalized radioembolization
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/42469bf5b02449e0965b8a0d6c87bc54
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A proof-of-concept study of the in-vivo validation of a computational fluid dynamics model of personalized radioembolization

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