Cargando…
A proof-of-concept study of the in-vivo validation of a computational fluid dynamics model of personalized radioembolization
Radioembolization (RE) with yttrium-90 ((90)Y) 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...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7886872/ https://www.ncbi.nlm.nih.gov/pubmed/33594143 http://dx.doi.org/10.1038/s41598-021-83414-7 |
_version_ | 1783651890511216640 |
---|---|
author | Antón, Raúl Antoñana, Javier Aramburu, Jorge Ezponda, Ana Prieto, Elena Andonegui, Asier Ortega, Julio Vivas, Isabel Sancho, Lidia Sangro, Bruno Bilbao, José Ignacio Rodríguez-Fraile, Macarena |
author_facet | Antón, Raúl Antoñana, Javier Aramburu, Jorge Ezponda, Ana Prieto, Elena Andonegui, Asier Ortega, Julio Vivas, Isabel Sancho, Lidia Sangro, Bruno Bilbao, José Ignacio Rodríguez-Fraile, Macarena |
author_sort | Antón, Raúl |
collection | PubMed |
description | Radioembolization (RE) with yttrium-90 ((90)Y) 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 (90)Y-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 (90)Y PET/CT. Specifically, the microsphere distribution predicted was compared with the actual (90)Y 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 (90)Y-microsphere distribution after RE and could be used to optimize the RE procedure on a patient-specific basis. |
format | Online Article Text |
id | pubmed-7886872 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78868722021-02-18 A proof-of-concept study of the in-vivo validation of a computational fluid dynamics model of personalized radioembolization Antón, Raúl Antoñana, Javier Aramburu, Jorge Ezponda, Ana Prieto, Elena Andonegui, Asier Ortega, Julio Vivas, Isabel Sancho, Lidia Sangro, Bruno Bilbao, José Ignacio Rodríguez-Fraile, Macarena Sci Rep Article Radioembolization (RE) with yttrium-90 ((90)Y) 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 (90)Y-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 (90)Y PET/CT. Specifically, the microsphere distribution predicted was compared with the actual (90)Y 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 (90)Y-microsphere distribution after RE and could be used to optimize the RE procedure on a patient-specific basis. Nature Publishing Group UK 2021-02-16 /pmc/articles/PMC7886872/ /pubmed/33594143 http://dx.doi.org/10.1038/s41598-021-83414-7 Text en © The Author(s) 2021 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 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/. |
spellingShingle | Article Antón, Raúl Antoñana, Javier Aramburu, Jorge Ezponda, Ana Prieto, Elena Andonegui, Asier Ortega, Julio Vivas, Isabel Sancho, Lidia Sangro, Bruno Bilbao, José Ignacio Rodríguez-Fraile, Macarena A proof-of-concept study of the in-vivo validation of a computational fluid dynamics model of personalized radioembolization |
title | 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_short | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7886872/ https://www.ncbi.nlm.nih.gov/pubmed/33594143 http://dx.doi.org/10.1038/s41598-021-83414-7 |
work_keys_str_mv | AT antonraul aproofofconceptstudyoftheinvivovalidationofacomputationalfluiddynamicsmodelofpersonalizedradioembolization AT antonanajavier aproofofconceptstudyoftheinvivovalidationofacomputationalfluiddynamicsmodelofpersonalizedradioembolization AT aramburujorge aproofofconceptstudyoftheinvivovalidationofacomputationalfluiddynamicsmodelofpersonalizedradioembolization AT ezpondaana aproofofconceptstudyoftheinvivovalidationofacomputationalfluiddynamicsmodelofpersonalizedradioembolization AT prietoelena aproofofconceptstudyoftheinvivovalidationofacomputationalfluiddynamicsmodelofpersonalizedradioembolization AT andoneguiasier aproofofconceptstudyoftheinvivovalidationofacomputationalfluiddynamicsmodelofpersonalizedradioembolization AT ortegajulio aproofofconceptstudyoftheinvivovalidationofacomputationalfluiddynamicsmodelofpersonalizedradioembolization AT vivasisabel aproofofconceptstudyoftheinvivovalidationofacomputationalfluiddynamicsmodelofpersonalizedradioembolization AT sancholidia aproofofconceptstudyoftheinvivovalidationofacomputationalfluiddynamicsmodelofpersonalizedradioembolization AT sangrobruno aproofofconceptstudyoftheinvivovalidationofacomputationalfluiddynamicsmodelofpersonalizedradioembolization AT bilbaojoseignacio aproofofconceptstudyoftheinvivovalidationofacomputationalfluiddynamicsmodelofpersonalizedradioembolization AT rodriguezfrailemacarena aproofofconceptstudyoftheinvivovalidationofacomputationalfluiddynamicsmodelofpersonalizedradioembolization AT antonraul proofofconceptstudyoftheinvivovalidationofacomputationalfluiddynamicsmodelofpersonalizedradioembolization AT antonanajavier proofofconceptstudyoftheinvivovalidationofacomputationalfluiddynamicsmodelofpersonalizedradioembolization AT aramburujorge proofofconceptstudyoftheinvivovalidationofacomputationalfluiddynamicsmodelofpersonalizedradioembolization AT ezpondaana proofofconceptstudyoftheinvivovalidationofacomputationalfluiddynamicsmodelofpersonalizedradioembolization AT prietoelena proofofconceptstudyoftheinvivovalidationofacomputationalfluiddynamicsmodelofpersonalizedradioembolization AT andoneguiasier proofofconceptstudyoftheinvivovalidationofacomputationalfluiddynamicsmodelofpersonalizedradioembolization AT ortegajulio proofofconceptstudyoftheinvivovalidationofacomputationalfluiddynamicsmodelofpersonalizedradioembolization AT vivasisabel proofofconceptstudyoftheinvivovalidationofacomputationalfluiddynamicsmodelofpersonalizedradioembolization AT sancholidia proofofconceptstudyoftheinvivovalidationofacomputationalfluiddynamicsmodelofpersonalizedradioembolization AT sangrobruno proofofconceptstudyoftheinvivovalidationofacomputationalfluiddynamicsmodelofpersonalizedradioembolization AT bilbaojoseignacio proofofconceptstudyoftheinvivovalidationofacomputationalfluiddynamicsmodelofpersonalizedradioembolization AT rodriguezfrailemacarena proofofconceptstudyoftheinvivovalidationofacomputationalfluiddynamicsmodelofpersonalizedradioembolization |