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First validation of a model-based hepatic percutaneous microwave ablation planning on a clinical dataset

A model-based planning tool, integrated in an imaging system, is envisioned for CT-guided percutaneous microwave ablation. This study aims to evaluate the biophysical model performance, by comparing its prediction retrospectively with the actual ablation ground truth from a clinical dataset in liver...

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Autores principales: Frackowiak, Bruno, Van den Bosch, Vincent, Tokoutsi, Zoi, Baragona, Marco, de Greef, Martijn, Elevelt, Aaldert, Isfort, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558472/
https://www.ncbi.nlm.nih.gov/pubmed/37803064
http://dx.doi.org/10.1038/s41598-023-42543-x
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author Frackowiak, Bruno
Van den Bosch, Vincent
Tokoutsi, Zoi
Baragona, Marco
de Greef, Martijn
Elevelt, Aaldert
Isfort, Peter
author_facet Frackowiak, Bruno
Van den Bosch, Vincent
Tokoutsi, Zoi
Baragona, Marco
de Greef, Martijn
Elevelt, Aaldert
Isfort, Peter
author_sort Frackowiak, Bruno
collection PubMed
description A model-based planning tool, integrated in an imaging system, is envisioned for CT-guided percutaneous microwave ablation. This study aims to evaluate the biophysical model performance, by comparing its prediction retrospectively with the actual ablation ground truth from a clinical dataset in liver. The biophysical model uses a simplified formulation of heat deposition on the applicator and a heat sink related to vasculature to solve the bioheat equation. A performance metric is defined to assess how the planned ablation overlaps the actual ground truth. Results demonstrate superiority of this model prediction compared to manufacturer tabulated data and a significant influence of the vasculature cooling effect. Nevertheless, vasculature shortage due to branches occlusion and applicator misalignment due to registration error between scans affects the thermal prediction. With a more accurate vasculature segmentation, occlusion risk can be estimated, whereas branches can be used as liver landmarks to improve the registration accuracy. Overall, this study emphasizes the benefit of a model-based thermal ablation solution in better planning the ablation procedures. Contrast and registration protocols must be adapted to facilitate its integration into the clinical workflow.
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spelling pubmed-105584722023-10-08 First validation of a model-based hepatic percutaneous microwave ablation planning on a clinical dataset Frackowiak, Bruno Van den Bosch, Vincent Tokoutsi, Zoi Baragona, Marco de Greef, Martijn Elevelt, Aaldert Isfort, Peter Sci Rep Article A model-based planning tool, integrated in an imaging system, is envisioned for CT-guided percutaneous microwave ablation. This study aims to evaluate the biophysical model performance, by comparing its prediction retrospectively with the actual ablation ground truth from a clinical dataset in liver. The biophysical model uses a simplified formulation of heat deposition on the applicator and a heat sink related to vasculature to solve the bioheat equation. A performance metric is defined to assess how the planned ablation overlaps the actual ground truth. Results demonstrate superiority of this model prediction compared to manufacturer tabulated data and a significant influence of the vasculature cooling effect. Nevertheless, vasculature shortage due to branches occlusion and applicator misalignment due to registration error between scans affects the thermal prediction. With a more accurate vasculature segmentation, occlusion risk can be estimated, whereas branches can be used as liver landmarks to improve the registration accuracy. Overall, this study emphasizes the benefit of a model-based thermal ablation solution in better planning the ablation procedures. Contrast and registration protocols must be adapted to facilitate its integration into the clinical workflow. Nature Publishing Group UK 2023-10-06 /pmc/articles/PMC10558472/ /pubmed/37803064 http://dx.doi.org/10.1038/s41598-023-42543-x Text en © The Author(s) 2023, corrected publication 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 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
Frackowiak, Bruno
Van den Bosch, Vincent
Tokoutsi, Zoi
Baragona, Marco
de Greef, Martijn
Elevelt, Aaldert
Isfort, Peter
First validation of a model-based hepatic percutaneous microwave ablation planning on a clinical dataset
title First validation of a model-based hepatic percutaneous microwave ablation planning on a clinical dataset
title_full First validation of a model-based hepatic percutaneous microwave ablation planning on a clinical dataset
title_fullStr First validation of a model-based hepatic percutaneous microwave ablation planning on a clinical dataset
title_full_unstemmed First validation of a model-based hepatic percutaneous microwave ablation planning on a clinical dataset
title_short First validation of a model-based hepatic percutaneous microwave ablation planning on a clinical dataset
title_sort first validation of a model-based hepatic percutaneous microwave ablation planning on a clinical dataset
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558472/
https://www.ncbi.nlm.nih.gov/pubmed/37803064
http://dx.doi.org/10.1038/s41598-023-42543-x
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