The mathematical modeling of tumor growth is an approach to explain the complex nature of these systems. A model that describes tumor growth was obtained by using a mesoscopic formalism and fractal dimension. This model theoretically predicts the relation between the morphology of the cell pattern and the mitosis/apoptosis quotient that helps to predict tumor growth from tumoral cells fractal dimension. The relation between the tumor macroscopic morphology and the cell pattern morphology is also determined. This could explain why the interface fractal dimension decreases with the increase of the cell pattern fractal dimension and consequently with the increase of the mitosis/apoptosis relation. Indexes to characterize tumoral cell proliferation and invasion capacities are proposed and used to predict the growth of different types of tumors. These indexes also show that the proliferation capacity is directly proportional to the invasion capacity. The proposed model assumes: i) only interface cells proliferate and invade the host, and ii) the fractal dimension of tumoral cell patterns, can reproduce the Gompertzian growth law.

Download full-text PDF

Source
http://dx.doi.org/10.3934/mbe.2009.6.547DOI Listing

Publication Analysis

Top Keywords

fractal dimension
20
tumor growth
16
cell pattern
12
pattern morphology
8
morphology cell
8
tumoral cell
8
growth
6
fractal
5
dimension
5
cell
5

Similar Publications

Fabrication and characterization of non-diary whipped creams: Influence of oleogel.

Food Chem

January 2025

College of Food Science, Southwest University, Chongqing 400715, China; Chongqing Key Laboratory of Speciality Food Co-Built by Sichuan and Chongqing, Chongqing 400715, China. Electronic address:

Non-dairy whipped creams (NDWC) are a typical food emulsion system and are gaining popularity among consumers. Oleogels as reasonable alternatives to trans and saturated fats in foods show great potential application in NDWC. Effects of different proportions of oleogel (30 %-70 %) as base oil on the crystallization behavior, appearance, interface and rheological properties of NDWC were evaluated.

View Article and Find Full Text PDF

A constitutive model for coal gangue coarse-grained subgrade filler incorporating particle breakage.

Sci Rep

January 2025

Hunan Provincial Key Laboratory of Geotechnical Engineering for Stability Control and Health Monitoring, Hunan University of Science and Technology, Xiangtan, 411201, People's Republic of China.

The accumulation and discharge amount of coal gangue are substantial, occupying significant land resources over time. Utilizing coal gangue as subgrade filler can generate notable economic and social benefits. Coal gangue coarse-grained soil (CGSF) was used to conduct a series of large-scale vibration compaction tests and large-scale triaxial tests.

View Article and Find Full Text PDF

Patients with pulmonary fibrosis (PF) often experience long waits before getting a correct diagnosis, and this delay in reaching specialized care is associated with increased mortality, regardless of the severity of the disease. Early diagnosis and timely treatment of PF can potentially extend life expectancy and maintain a better quality of life. Crackles present in the recorded lung sounds may be crucial for the early diagnosis of PF.

View Article and Find Full Text PDF

The mechanical properties of multi-lithologic reservoir rock masses are complex, and the failure mechanism is not clear. This research belongs to the field of oil and gas exploration and development. Brazilian splitting, and digital image correlation (DIC) tests were performed to study the mechanical properties and failure mechanism of assemblages containing sandstone, shale, and limestone.

View Article and Find Full Text PDF

Optimal time-frequency localized wavelet filters for identification of Alzheimer's disease from EEG signals.

Cogn Neurodyn

December 2025

Department of Electrical and Electronics Engineering, Jazan, 45142 Jazan Saudi Arabia.

Alzheimer's disease (AD) is a chronic disability that occurs due to the loss of neurons. The traditional methods to detect AD involve questionnaires and expensive neuro-imaging tests, which are time-consuming, subjective, and inconvenient to the target population. To overcome these limitations, Electroencephalogram (EEG) based methods have been developed to classify AD patients from normal controlled (NC) and mild cognitive impairment (MCI) subjects.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!