Publication
Title
Local anomalous drug diffusion at healthy-cancer tissue surface and data-driven tumor growth model prediction
Author
Abstract
This paper discusses reliable yet minimal computational models for predicting the patient's response to anticancer multi-drug combined therapy. The distribution of the drugs into the local heterogeneity of healthy-tumor tissues can be translated into mathematical models. Ideally, these should best describe the physiological processes and physical mechanisms, together with the interactions between the contributing components of the tumor growth dynamic system. Our previously proposed pharmacokinetic-pharmacodynamic (PKPD) mathematical model is revisited for different spatio-temporal fractional drug diffusion patterns. In particular, we examine the specific diffusion-related factors that limit drug effect through the tumor's surface. The ability of the tumor growth PKPD model to predict patient responsiveness was evaluated using prior radiation therapy data in a patient with lung cancer. This study shows that the effect of anomalous diffusion mechanisms within tumor tissue should be considered while modeling the dose-response relationship for optimal results of cancer therapies.
Language
English
Source (journal)
Proceedings of the ... American Control Conference. - [New York], 1982, currens
Source (book)
American Control Conference (ACC), MAY 31-JUN 02, 2023, San Diego, CA
Publication
New york : Ieee , 2023
ISBN
979-83-503-2806-6
DOI
10.23919/ACC55779.2023.10156537
Volume/pages
(2023) , p. 2867-2872
ISI
001027160302084
Full text (Publisher's DOI)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 02.10.2023
Last edited 04.03.2024
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