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Critical Reviews™ in Biomedical Engineering

Publication de 6  numéros par an

ISSN Imprimer: 0278-940X

ISSN En ligne: 1943-619X

SJR: 0.262 SNIP: 0.372 CiteScore™:: 2.2 H-Index: 56

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Mathematical Modeling of Thermal Ablation

Volume 38, Numéro 1, 2010, pp. 21-30
DOI: 10.1615/CritRevBiomedEng.v38.i1.30
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RÉSUMÉ

Ablation techniques have become a widespread choice for the treatment of cancerous tumors for which surgical resection techniques have a poor prognosis. The minimally invasive nature and high success rate when performed by experienced clinicians mean that ablation is likely to remain a core technique. However, the success rate can drop off dramatically when less-experienced operators are involved, and it is particularly difficult to kill all of the tumor and only the tumor, given the dynamic nature of the processes that lead to cell death. Mathematical modeling of the response to ablation treatment has a long history. Since the seminal paper of Pennes in 1948, there have been numerous attempts to propose models that are both physiologically accurate and computationally inexpensive. All of these models are based on different principles and assumptions, which may make them suitable only for particular applications. This makes choosing a model very difficult because of the lack of understanding about what the limitations of different assumptions are likely to be and how this influences the necessary computational resources. Here we review the models available in the literature, illustrating how the different assumptions impact upon both their accuracy and computational expense. The primary intentions are to provide a critical scientific review and a practical guide for researchers wishing to use such models in clinical applications.

CITÉ PAR
  1. Payne Stephen, Flanagan Ronan, Pollari Mika, Alhonnoro Tuomas, Bost Claire, O'Neill David, Peng Tingying, Stiegler Philipp, Image-based multi-scale modelling and validation of radio-frequency ablation in liver tumours, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 369, 1954, 2011. Crossref

  2. Solovchuk Maxim A., Hwang San Chao, Chang Hsu, Thiriet Marc, Sheu Tony W. H., Temperature elevation by HIFU inex vivoporcine muscle: MRI measurement and simulation study, Medical Physics, 41, 5, 2014. Crossref

  3. Laine Andrew F., In the Spotlight: Biomedical Imaging, IEEE Reviews in Biomedical Engineering, 4, 2011. Crossref

  4. Qian Lu, Hu Guangxia, Qian Zhiyu, Li Weitao, Xie Jieru, Optimization Algorithm for Temperature Field Distribution of Rat Brain Tissue Undergoing Radiofrequency Ablation Treatment, 2011 First International Workshop on Complexity and Data Mining, 2011. Crossref

  5. Peng T., O’Neill D.P., Payne S.J., A two-equation coupled system for determination of liver tissue temperature during thermal ablation, International Journal of Heat and Mass Transfer, 54, 9-10, 2011. Crossref

  6. Liu Cong, Park Chang Sub, Hall Sheldon K., Payne Stephen J., Mathematical model of the post-ablation enhancement zone as a tissue-level oedematic response, International Journal of Hyperthermia, 33, 2, 2017. Crossref

  7. Linte Cristian A., Camp Jon J., Holmes David R., Rettmann Maryam E., Robb Richard A., Toward Online Modeling for Lesion Visualization and Monitoring in Cardiac Ablation Therapy, in Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013, 8149, 2013. Crossref

  8. Singh Sundeep, Melnik Roderick, Thermal ablation of biological tissues in disease treatment: A review of computational models and future directions, Electromagnetic Biology and Medicine, 39, 2, 2020. Crossref

  9. Lairmore Michael D., Ilkiw Jan, Animals Used in Research and Education, 1966–2016: Evolving Attitudes, Policies, and Relationships, Journal of Veterinary Medical Education, 42, 5, 2015. Crossref

  10. Bianchi Leonardo, Orrico Annalisa, Korganbayev Sanzhar, De Landro Martina, Saccomandi Paola, Two-dimensional temperature feedback control strategy for thermal ablation of biological tissue, 2021 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT), 2021. Crossref

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