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Improved Geometric Configuration for the Bladder Cancer BCG-Based Immunotherapy Treatment Model

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Mathematical and Computational Oncology (ISMCO 2021)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 13060))

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Abstract

Bacillus Calmette–Guérin (BCG) immunotherapy has shown significant success for bladder cancer treatment, but due to the lack of personalization, it does not fulfill its full promise as the interaction between immunity and cancer varies significantly between patients and results in extremely different clinical outcomes. As personalized treatment developed, it is important to take into consideration the geometrical configuration of the bladder in order to get realistic results using spatio-temporal treatment models.

We present an extension to the model proposed by Lazebnik et al. [9] by improving the approximation of the bladder’s geometry from sphere-ring to ellipsoid-ring [8]. We show the differences between the models on the clinical results and their influence on the optimal treatment protocol.

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Author information

Authors and Affiliations

  1. Department of Cancer Biology, Cancer Institute, University College, London, UK

    Teddy Lazebnik

  2. Department of Mathematics, Ariel University, Ariel, Israel

    Svetlana Bunimovich-Mendrazitsky

Authors
  1. Teddy Lazebnik
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  2. Svetlana Bunimovich-Mendrazitsky
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Corresponding author

Correspondence to Teddy Lazebnik .

Editor information

Editors and Affiliations

  1. University of Nevada Reno, Reno, NV, USA

    George Bebis

  2. Scripps Institution of Oceanography, Scripps Genome Center, San Diego, CA, USA

    Terry Gaasterland

  3. National Cancer Center Japan, Tokyo, Japan

    Mamoru Kato

  4. Department of Applied Mathematics, University of Waterloo, Waterloo, ON, Canada

    Mohammad Kohandel

  5. Ryerson University, Toronto, ON, Canada

    Kathleen Wilkie

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Lazebnik, T., Bunimovich-Mendrazitsky, S. (2021). Improved Geometric Configuration for the Bladder Cancer BCG-Based Immunotherapy Treatment Model. In: Bebis, G., Gaasterland, T., Kato, M., Kohandel, M., Wilkie, K. (eds) Mathematical and Computational Oncology. ISMCO 2021. Lecture Notes in Computer Science(), vol 13060. Springer, Cham. https://doi.org/10.1007/978-3-030-91241-3_6

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  • DOI: https://doi.org/10.1007/978-3-030-91241-3_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-91240-6

  • Online ISBN: 978-3-030-91241-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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