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Thermal ablation with configurable shapes: a comprehensive, automated model for bespoke tumor treatment
BACKGROUND: Malignant tumors routinely present with irregular shapes and complex configurations. The lack of customization to individual tumor shapes and standardization of procedures limits the success and application of thermal ablation. METHODS: We introduced an automated treatment model consisti...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Vienna
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10628015/ https://www.ncbi.nlm.nih.gov/pubmed/37932631 http://dx.doi.org/10.1186/s41747-023-00381-6 |
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author | Paolucci, Iwan Bulatović, Milica Weber, Stefan Tinguely, Pascale |
author_facet | Paolucci, Iwan Bulatović, Milica Weber, Stefan Tinguely, Pascale |
author_sort | Paolucci, Iwan |
collection | PubMed |
description | BACKGROUND: Malignant tumors routinely present with irregular shapes and complex configurations. The lack of customization to individual tumor shapes and standardization of procedures limits the success and application of thermal ablation. METHODS: We introduced an automated treatment model consisting of (i) trajectory and ablation profile planning, (ii) ablation probe insertion, (iii) dynamic energy delivery (including robotically driven control of the energy source power and location over time, according to a treatment plan bespoke to the tumor shape), and (iv) quantitative ablation margin verification. We used a microwave ablation system and a liver phantom (acrylamide polymer with a thermochromic ink) to mimic coagulation and measure the ablation volume. We estimated the ablation width as a function of power and velocity following a probabilistic model. Four representative shapes of liver tumors < 5 cm were selected from two publicly available databases. The ablated specimens were cut along the ablation probe axis and photographed. The shape of the ablated volume was extracted using a color-based segmentation method. RESULTS: The uncertainty (standard deviation) of the ablation width increased with increasing power by ± 0.03 mm (95% credible interval [0.02, 0.043]) per watt increase in power and by ± 0.85 mm (95% credible interval [0, 2.5]) per mm/s increase in velocity. Continuous ablation along a straight-line trajectory resulted in elongated rotationally symmetric ablation shapes. Simultaneous regulation of the power and/or translation velocity allowed to modulate the ablation width at specific locations. CONCLUSIONS: This study offers the proof-of-principle of the dynamic energy delivery system using ablation shapes from clinical cases of malignant liver tumors. RELEVANCE STATEMENT: The proposed automated treatment model could favor the customization and standardization of thermal ablation for complex tumor shapes. KEY POINTS: • Current thermal ablation systems are limited to ellipsoidal or spherical shapes. • Dynamic energy delivery produces elongated rotationally symmetric ablation shapes with varying widths. • For complex tumor shapes, multiple customized ablation shapes could be combined. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41747-023-00381-6. |
format | Online Article Text |
id | pubmed-10628015 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Vienna |
record_format | MEDLINE/PubMed |
spelling | pubmed-106280152023-11-08 Thermal ablation with configurable shapes: a comprehensive, automated model for bespoke tumor treatment Paolucci, Iwan Bulatović, Milica Weber, Stefan Tinguely, Pascale Eur Radiol Exp Original Article BACKGROUND: Malignant tumors routinely present with irregular shapes and complex configurations. The lack of customization to individual tumor shapes and standardization of procedures limits the success and application of thermal ablation. METHODS: We introduced an automated treatment model consisting of (i) trajectory and ablation profile planning, (ii) ablation probe insertion, (iii) dynamic energy delivery (including robotically driven control of the energy source power and location over time, according to a treatment plan bespoke to the tumor shape), and (iv) quantitative ablation margin verification. We used a microwave ablation system and a liver phantom (acrylamide polymer with a thermochromic ink) to mimic coagulation and measure the ablation volume. We estimated the ablation width as a function of power and velocity following a probabilistic model. Four representative shapes of liver tumors < 5 cm were selected from two publicly available databases. The ablated specimens were cut along the ablation probe axis and photographed. The shape of the ablated volume was extracted using a color-based segmentation method. RESULTS: The uncertainty (standard deviation) of the ablation width increased with increasing power by ± 0.03 mm (95% credible interval [0.02, 0.043]) per watt increase in power and by ± 0.85 mm (95% credible interval [0, 2.5]) per mm/s increase in velocity. Continuous ablation along a straight-line trajectory resulted in elongated rotationally symmetric ablation shapes. Simultaneous regulation of the power and/or translation velocity allowed to modulate the ablation width at specific locations. CONCLUSIONS: This study offers the proof-of-principle of the dynamic energy delivery system using ablation shapes from clinical cases of malignant liver tumors. RELEVANCE STATEMENT: The proposed automated treatment model could favor the customization and standardization of thermal ablation for complex tumor shapes. KEY POINTS: • Current thermal ablation systems are limited to ellipsoidal or spherical shapes. • Dynamic energy delivery produces elongated rotationally symmetric ablation shapes with varying widths. • For complex tumor shapes, multiple customized ablation shapes could be combined. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41747-023-00381-6. Springer Vienna 2023-11-07 /pmc/articles/PMC10628015/ /pubmed/37932631 http://dx.doi.org/10.1186/s41747-023-00381-6 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 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 | Original Article Paolucci, Iwan Bulatović, Milica Weber, Stefan Tinguely, Pascale Thermal ablation with configurable shapes: a comprehensive, automated model for bespoke tumor treatment |
title | Thermal ablation with configurable shapes: a comprehensive, automated model for bespoke tumor treatment |
title_full | Thermal ablation with configurable shapes: a comprehensive, automated model for bespoke tumor treatment |
title_fullStr | Thermal ablation with configurable shapes: a comprehensive, automated model for bespoke tumor treatment |
title_full_unstemmed | Thermal ablation with configurable shapes: a comprehensive, automated model for bespoke tumor treatment |
title_short | Thermal ablation with configurable shapes: a comprehensive, automated model for bespoke tumor treatment |
title_sort | thermal ablation with configurable shapes: a comprehensive, automated model for bespoke tumor treatment |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10628015/ https://www.ncbi.nlm.nih.gov/pubmed/37932631 http://dx.doi.org/10.1186/s41747-023-00381-6 |
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