Microwave ablation of lung tumors: A probabilistic approach for simulation‐based treatment planning.
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| Title: | Microwave ablation of lung tumors: A probabilistic approach for simulation‐based treatment planning. |
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| Authors: | Sebek, Jan1,2 (AUTHOR), Taeprasartsit, Pinyo3,4 (AUTHOR), Wibowo, Henky3 (AUTHOR), Beard, Warren L.5 (AUTHOR), Bortel, Radoslav2 (AUTHOR), Prakash, Punit1 (AUTHOR) prakashp@ksu.edu |
| Source: | Medical Physics. Jul2021, Vol. 48 Issue 7, p3991-4003. 13p. |
| Subjects: | Lung tumors, Lungs, Microwaves, Cancer invasiveness, Tumor treatment, Treatment duration |
| Abstract: | Purpose: Microwave ablation (MWA) is a clinically established modality for treatment of lung tumors. A challenge with existing application of MWA, however, is local tumor progression, potentially due to failure to establish an adequate treatment margin. This study presents a robust simulation‐based treatment planning methodology to assist operators in comparatively assessing thermal profiles and likelihood of achieving a specified minimum margin as a function of candidate applied energy parameters. Methods: We employed a biophysical simulation‐based probabilistic treatment planning methodology to evaluate the likelihood of achieving a specified minimum margin for candidate treatment parameters (i.e., applied power and ablation duration for a given applicator position within a tumor). A set of simulations with varying tissue properties was evaluated for each considered combination of power and ablation duration, and for four different scenarios of contrast in tissue biophysical properties between tumor and normal lung. A treatment planning graph was then assembled, where distributions of achieved minimum ablation zone margins and collateral damage volumes can be assessed for candidate applied power and treatment duration combinations. For each chosen power and time combination, the operator can also visualize the histogram of ablation zone boundaries overlaid on the tumor and target volumes. We assembled treatment planning graphs for generic 1, 2, and 2.5 cm diameter spherically shaped tumors and also illustrated the impact of tissue heterogeneity on delivered treatment plans and resulting ablation histograms. Finally, we illustrated the treatment planning methodology on two example patient‐specific cases of tumors with irregular shapes. Results: The assembled treatment planning graphs indicate that 30 W, 6 min ablations achieve a 5‐mm minimum margin across all simulated cases for 1‐cm diameter spherical tumors, and 70 W, 10 min ablations achieve a 3‐mm minimum margin across 90% of simulations for a 2.5‐cm diameter spherical tumor. Different scenarios of tissue heterogeneity between tumor and lung tissue revealed 2 min overall difference in ablation duration, in order to reliably achieve a 4‐mm minimum margin or larger each time for 2‐cm diameter spherical tumor. Conclusions: An approach for simulation‐based treatment planning for microwave ablation of lung tumors is illustrated to account for the impact of specific geometry of the treatment site, tissue property uncertainty, and heterogeneity between the tumor and normal lung. [ABSTRACT FROM AUTHOR] |
| Copyright of Medical Physics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 151606599 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Microwave ablation of lung tumors: A probabilistic approach for simulation‐based treatment planning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sebek%2C+Jan%22">Sebek, Jan</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Taeprasartsit%2C+Pinyo%22">Taeprasartsit, Pinyo</searchLink><relatesTo>3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wibowo%2C+Henky%22">Wibowo, Henky</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Beard%2C+Warren+L%2E%22">Beard, Warren L.</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bortel%2C+Radoslav%22">Bortel, Radoslav</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Prakash%2C+Punit%22">Prakash, Punit</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> prakashp@ksu.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Medical+Physics%22">Medical Physics</searchLink>. Jul2021, Vol. 48 Issue 7, p3991-4003. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Lung+tumors%22">Lung tumors</searchLink><br /><searchLink fieldCode="DE" term="%22Lungs%22">Lungs</searchLink><br /><searchLink fieldCode="DE" term="%22Microwaves%22">Microwaves</searchLink><br /><searchLink fieldCode="DE" term="%22Cancer+invasiveness%22">Cancer invasiveness</searchLink><br /><searchLink fieldCode="DE" term="%22Tumor+treatment%22">Tumor treatment</searchLink><br /><searchLink fieldCode="DE" term="%22Treatment+duration%22">Treatment duration</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose: Microwave ablation (MWA) is a clinically established modality for treatment of lung tumors. A challenge with existing application of MWA, however, is local tumor progression, potentially due to failure to establish an adequate treatment margin. This study presents a robust simulation‐based treatment planning methodology to assist operators in comparatively assessing thermal profiles and likelihood of achieving a specified minimum margin as a function of candidate applied energy parameters. Methods: We employed a biophysical simulation‐based probabilistic treatment planning methodology to evaluate the likelihood of achieving a specified minimum margin for candidate treatment parameters (i.e., applied power and ablation duration for a given applicator position within a tumor). A set of simulations with varying tissue properties was evaluated for each considered combination of power and ablation duration, and for four different scenarios of contrast in tissue biophysical properties between tumor and normal lung. A treatment planning graph was then assembled, where distributions of achieved minimum ablation zone margins and collateral damage volumes can be assessed for candidate applied power and treatment duration combinations. For each chosen power and time combination, the operator can also visualize the histogram of ablation zone boundaries overlaid on the tumor and target volumes. We assembled treatment planning graphs for generic 1, 2, and 2.5 cm diameter spherically shaped tumors and also illustrated the impact of tissue heterogeneity on delivered treatment plans and resulting ablation histograms. Finally, we illustrated the treatment planning methodology on two example patient‐specific cases of tumors with irregular shapes. Results: The assembled treatment planning graphs indicate that 30 W, 6 min ablations achieve a 5‐mm minimum margin across all simulated cases for 1‐cm diameter spherical tumors, and 70 W, 10 min ablations achieve a 3‐mm minimum margin across 90% of simulations for a 2.5‐cm diameter spherical tumor. Different scenarios of tissue heterogeneity between tumor and lung tissue revealed 2 min overall difference in ablation duration, in order to reliably achieve a 4‐mm minimum margin or larger each time for 2‐cm diameter spherical tumor. Conclusions: An approach for simulation‐based treatment planning for microwave ablation of lung tumors is illustrated to account for the impact of specific geometry of the treatment site, tissue property uncertainty, and heterogeneity between the tumor and normal lung. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Medical Physics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/mp.14923 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 3991 Subjects: – SubjectFull: Lung tumors Type: general – SubjectFull: Lungs Type: general – SubjectFull: Microwaves Type: general – SubjectFull: Cancer invasiveness Type: general – SubjectFull: Tumor treatment Type: general – SubjectFull: Treatment duration Type: general Titles: – TitleFull: Microwave ablation of lung tumors: A probabilistic approach for simulation‐based treatment planning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sebek, Jan – PersonEntity: Name: NameFull: Taeprasartsit, Pinyo – PersonEntity: Name: NameFull: Wibowo, Henky – PersonEntity: Name: NameFull: Beard, Warren L. – PersonEntity: Name: NameFull: Bortel, Radoslav – PersonEntity: Name: NameFull: Prakash, Punit IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 00942405 Numbering: – Type: volume Value: 48 – Type: issue Value: 7 Titles: – TitleFull: Medical Physics Type: main |
| ResultId | 1 |
