A prediction model for guiding tumor microwave ablation surgery based on simulation
Purpose: The major limitation of tumor microwave ablation (MWA) operation is the lack of predictability of the ablation zone before surgery. Operators rely on their individual experience to select a treatment plan, which is prone to either inadequate or excessive ablation. This paper aims to establi...
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| Format: | Article |
| Language: | English |
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World Scientific Publishing
2025-01-01
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| Series: | Journal of Innovative Optical Health Sciences |
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| Online Access: | https://www.worldscientific.com/doi/10.1142/S179354582450024X |
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| author | Lu Qian Yamin Yang Pan Chen Jia Liu Xiaofei Jin Zhiyu Qian Chunxiao Chen |
| author_facet | Lu Qian Yamin Yang Pan Chen Jia Liu Xiaofei Jin Zhiyu Qian Chunxiao Chen |
| author_sort | Lu Qian |
| collection | DOAJ |
| description | Purpose: The major limitation of tumor microwave ablation (MWA) operation is the lack of predictability of the ablation zone before surgery. Operators rely on their individual experience to select a treatment plan, which is prone to either inadequate or excessive ablation. This paper aims to establish an ablation prediction model that guides MWA tumor surgical planning. Methods: An MWA process was first simulated by incorporating electromagnetic radiation equations, thermal equations, and optimized biological tissue parameters (dynamic dielectric and thermophysical parameters). The temperature distributions (the short/long diameters, and the total volume of the ablation zone) were then generated and verified by 60 cases ex vivo porcine liver experiments. Subsequently, a series of data were obtained from the simulated temperature distributions and to further fit the novel ablation coagulated area prediction model (ACAPM), thus rendering the ablation-dose table for the guiding surgical plan. The MWA clinical patient data and clinical devices suggested data were used to validate the accuracy and practicability of the established predicted model. Results: The 60 cases ex vivo porcine liver experiments demonstrated the accuracy of the simulated temperature distributions. Compared to traditional simulation methods, our approach reduces the long-diameter error of the ablation zone from 1.1[Formula: see text]cm to 0.29[Formula: see text]cm, achieving a 74% reduction in error. Further, the clinical data including the patients’ operation results and devices provided values were consistent well with our predicated data, indicating the great potential of ACAPM to assist preoperative planning. |
| format | Article |
| id | doaj-art-01f1280154d54a079a489a84da94e99c |
| institution | Kabale University |
| issn | 1793-5458 1793-7205 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | World Scientific Publishing |
| record_format | Article |
| series | Journal of Innovative Optical Health Sciences |
| spelling | doaj-art-01f1280154d54a079a489a84da94e99c2025-01-27T05:49:52ZengWorld Scientific PublishingJournal of Innovative Optical Health Sciences1793-54581793-72052025-01-01180110.1142/S179354582450024XA prediction model for guiding tumor microwave ablation surgery based on simulationLu Qian0Yamin Yang1Pan Chen2Jia Liu3Xiaofei Jin4Zhiyu Qian5Chunxiao Chen6Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, P. R. ChinaDepartment of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, P. R. ChinaHunan Cancer Hospital and The Affiliated, Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha 410013, Hunan Province, P. R. ChinaHunan Cancer Hospital and The Affiliated, Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha 410013, Hunan Province, P. R. ChinaDepartment of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, P. R. ChinaDepartment of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, P. R. ChinaDepartment of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, P. R. ChinaPurpose: The major limitation of tumor microwave ablation (MWA) operation is the lack of predictability of the ablation zone before surgery. Operators rely on their individual experience to select a treatment plan, which is prone to either inadequate or excessive ablation. This paper aims to establish an ablation prediction model that guides MWA tumor surgical planning. Methods: An MWA process was first simulated by incorporating electromagnetic radiation equations, thermal equations, and optimized biological tissue parameters (dynamic dielectric and thermophysical parameters). The temperature distributions (the short/long diameters, and the total volume of the ablation zone) were then generated and verified by 60 cases ex vivo porcine liver experiments. Subsequently, a series of data were obtained from the simulated temperature distributions and to further fit the novel ablation coagulated area prediction model (ACAPM), thus rendering the ablation-dose table for the guiding surgical plan. The MWA clinical patient data and clinical devices suggested data were used to validate the accuracy and practicability of the established predicted model. Results: The 60 cases ex vivo porcine liver experiments demonstrated the accuracy of the simulated temperature distributions. Compared to traditional simulation methods, our approach reduces the long-diameter error of the ablation zone from 1.1[Formula: see text]cm to 0.29[Formula: see text]cm, achieving a 74% reduction in error. Further, the clinical data including the patients’ operation results and devices provided values were consistent well with our predicated data, indicating the great potential of ACAPM to assist preoperative planning.https://www.worldscientific.com/doi/10.1142/S179354582450024XMicrowave ablationablation simulationmicrowave prediction modeldynamic tissue parameter |
| spellingShingle | Lu Qian Yamin Yang Pan Chen Jia Liu Xiaofei Jin Zhiyu Qian Chunxiao Chen A prediction model for guiding tumor microwave ablation surgery based on simulation Journal of Innovative Optical Health Sciences Microwave ablation ablation simulation microwave prediction model dynamic tissue parameter |
| title | A prediction model for guiding tumor microwave ablation surgery based on simulation |
| title_full | A prediction model for guiding tumor microwave ablation surgery based on simulation |
| title_fullStr | A prediction model for guiding tumor microwave ablation surgery based on simulation |
| title_full_unstemmed | A prediction model for guiding tumor microwave ablation surgery based on simulation |
| title_short | A prediction model for guiding tumor microwave ablation surgery based on simulation |
| title_sort | prediction model for guiding tumor microwave ablation surgery based on simulation |
| topic | Microwave ablation ablation simulation microwave prediction model dynamic tissue parameter |
| url | https://www.worldscientific.com/doi/10.1142/S179354582450024X |
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