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Model-based hepatic percutaneous microwave ablation planning. First validation 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 data set in live...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Journal Experts
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10153367/ https://www.ncbi.nlm.nih.gov/pubmed/37131766 http://dx.doi.org/10.21203/rs.3.rs-2781339/v1 |
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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 data set 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. |
format | Online Article Text |
id | pubmed-10153367 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Journal Experts |
record_format | MEDLINE/PubMed |
spelling | pubmed-101533672023-05-03 Model-based hepatic percutaneous microwave ablation planning. First validation on a clinical dataset Frackowiak, Bruno Van den Bosch, Vincent Tokoutsi, Zoi Baragona, Marco de Greef, Martijn Elevelt, Aaldert Isfort, Peter Res Sq 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 data set 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. American Journal Experts 2023-04-21 /pmc/articles/PMC10153367/ /pubmed/37131766 http://dx.doi.org/10.21203/rs.3.rs-2781339/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. https://creativecommons.org/licenses/by/4.0/License: This work is licensed under a Creative Commons Attribution 4.0 International License.Read Full License (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 Model-based hepatic percutaneous microwave ablation planning. First validation on a clinical dataset |
title | Model-based hepatic percutaneous microwave ablation planning. First validation on a clinical dataset |
title_full | Model-based hepatic percutaneous microwave ablation planning. First validation on a clinical dataset |
title_fullStr | Model-based hepatic percutaneous microwave ablation planning. First validation on a clinical dataset |
title_full_unstemmed | Model-based hepatic percutaneous microwave ablation planning. First validation on a clinical dataset |
title_short | Model-based hepatic percutaneous microwave ablation planning. First validation on a clinical dataset |
title_sort | model-based hepatic percutaneous microwave ablation planning. first validation on a clinical dataset |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10153367/ https://www.ncbi.nlm.nih.gov/pubmed/37131766 http://dx.doi.org/10.21203/rs.3.rs-2781339/v1 |
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