Pregled bibliografske jedinice broj: 26103
Mathematical Modeling of Tumor Growth Kinetics
Mathematical Modeling of Tumor Growth Kinetics // A Survey of Models for Tumor-Immune System Dynamics / Adam, John A ; Bellomo, Nicola (ur.).
Boston (MA): Birkhäuser, 1997. str. 89-133
CROSBI ID: 26103 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Mathematical Modeling of Tumor Growth Kinetics
Autori
Bajzer, Željko ; Vuk-Pavlović, Stanimir ; Huzak, Miljenko
Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni
Knjiga
A Survey of Models for Tumor-Immune System Dynamics
Urednik/ci
Adam, John A ; Bellomo, Nicola
Izdavač
Birkhäuser
Grad
Boston (MA)
Godina
1997
Raspon stranica
89-133
Sažetak
The overall goal of this survey is to develop and present a coherent and
integrated interpretation of mathematical models which describe
tumor growth. Rigorous description and quantitative understanding of tumor
growth kinetics
have been a focus of mathematical modellers for more than five decades.
Consequently, many models have been proposed, ranging from conceptually and
mathematically simple empirical models to complex ``functional'' models which
include kinetics of the cell cycle, cell--cell interactions, cell age
distribution, microenvironmental factors, etc. However, these models have
been seldom
validated against experimental tumor growth curves, largely because of the
relative scarcity of appropriate data. On the other hand, contemporary
experimental techniques increase the prospects for obtaining high quality
data. With this in mind, we summarize the pertinent deterministic models of
tumor growth
kinetics with special emphasis on model scrutiny against experimental data.
Prominent among these models is the Gompertz model which has been remarkably
successful in description of growth curves for various tumors. The biological
interpretation of this model, originally developed as an actuarial curve,
remains unclear and we summarize the relevant interpretations of this model.
Also, we discuss two other similarly simple models, the logistic model and
the von Bertalanffy model,
and then present models of increasing complexity which include
elements of the cell cycle and cell--cell interactions. Within the typical
kinetic paradigm, these models are based on systems of ordinary differential
equations. However, we also consider models defined by
partial differential equations which involve age and time.
Izvorni jezik
Engleski
Znanstvena područja
Matematika
POVEZANOST RADA
Projekti:
037008
Ustanove:
Prirodoslovno-matematički fakultet, Matematički odjel, Zagreb