TY - GEN
T1 - Improved Geometric Configuration for the Bladder Cancer BCG-Based Immunotherapy Treatment Model
AU - Lazebnik, Teddy
AU - Bunimovich-Mendrazitsky, Svetlana
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Geometrical pde systems dynamics
KW - Nonlinear systems
KW - PDE cancer treatment model
UR - https://www.scopus.com/pages/publications/85121917977
U2 - 10.1007/978-3-030-91241-3_6
DO - 10.1007/978-3-030-91241-3_6
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AN - SCOPUS:85121917977
SN - 9783030912406
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 63
EP - 67
BT - Mathematical and Computational Oncology - Third International Symposium, ISMCO 2021, Proceedings
A2 - Bebis, George
A2 - Gaasterland, Terry
A2 - Kato, Mamoru
A2 - Kohandel, Mohammad
A2 - Wilkie, Kathleen
PB - Springer Science and Business Media Deutschland GmbH
T2 - 3rd International Symposium on Mathematical and Computational Oncology, ISMCO 2021
Y2 - 11 October 2021 through 13 October 2021
ER -