A Model For Diffusion and Competition in Cancer Growth and Metastasis

1997 ◽  
Vol 489 ◽  
Author(s):  
G. P. Pescarmona ◽  
M. Scalerandi ◽  
P. P. Delsanto ◽  
C. A. Condat

AbstractA master equation formalism is used to model the growth and metastasis of a tumor as a function of the diffusion and absorption of a nutrient. Healthy and cancerous (C-) cells compete to bind the nutrient, which is allowed to diffuse starting from a prescribed region. Two thresholds are defined for the quantity of nutrient bound by the C-cells. If this quantity falls below the lower threshold, the cell dies, while if it increases above the upper threshold, the cell divides according to a predefined stochastic mechanism. C-cells migrate when they record a low concentration of free nutrient in the local environment. The model is formulated in terms of a coupled system of equations for the cell populations and the free and bound nutrient. This system can be solved by using the Local Interaction Simulation Approach (LISA), a numerical procedure that permits an efficient and detailed solution and is easily adaptable to parallel processing. With suitable parameter variation, the model can describe multiple tumor configurations, ranging from the classical spheroid with a necrotic core favored by mathematicians to very anisotropic shapes with inhomogeneous concentrations of the various populations. This is important because the nature of the anisotropy may be crucial in determining whether and how the cancer metastasizes. The effects of stochasticity and the presence of additional nutrients or inhibitors can be easily incorporated.

1960 ◽  
Vol 27 (2) ◽  
pp. 350-351
Author(s):  
F. R. E. Crossley ◽  
U¨stu¨n Germen

When solving problems in the vibration of a close-coupled system, there arises the need to expand a tridiagonal determinant of the type of equation (1). A very quick and accurate means of accomplishing this expansion is provided by the following numerical procedure, which can readily be adapted to computer programming.


2013 ◽  
Vol 588 ◽  
pp. 157-165 ◽  
Author(s):  
Z. Hashemiyan ◽  
Pawel Packo ◽  
W. Kochański ◽  
Wieslaw Jerzy Staszewski ◽  
Tadeusz Uhl ◽  
...  

Ultrasonic transducers are extensively used in medical applications. Any deterioration in their performance can lead to poor quality images. The Local Interaction Simulation Approach (LISA) and Finite Elements are used to model medical ultrasonic transducers. The entire analysis attempts to find out whether the LISA-based methodology could be used for transducer modelling in fault detection applications based on in-air reverberation patterns.


2009 ◽  
Vol 413-414 ◽  
pp. 793-801 ◽  
Author(s):  
Andrew Spencer ◽  
Keith Worden ◽  
Gareth Pierce

When a metal or composite structure begins to fail, for example due to high cycle fatigue, acoustic emissions caused by the propagation of cracks give rise to bursts of ultrasonic waves travelling through the structure. The health of a structure can be monitored by means of sensors which detect these waves. Acoustic emissions are often generated in experiments by breaking a pencil lead against the surface of the structure in a standardised way but the forces that this imparts are not well understood at present. A Local Interaction Simulation Approach (LISA) algorithm has been implemented to simulate the propagation of ultrasonic waves. This code has been validated against experiments in previous work and has been shown to accurately reproduce the propagation of Lamb waves (including reflections and dispersion etc.) within thin-plate like structures. This paper deals with the use of the LISA code to characterise the forces associated with standard pencil lead breaks. The displacement due to waves emanating from a break is measured and a Differential Evolution (DE) optimisation scheme is used to find the optimal profile of forcing to match the simulation with experiment.


2003 ◽  
Vol 113 (6) ◽  
pp. 3049 ◽  
Author(s):  
Marco Scalerandi ◽  
Valentina Agostini ◽  
Pier Paolo Delsanto ◽  
Koen Van Den Abeele ◽  
Paul A. Johnson

AIAA Journal ◽  
2015 ◽  
Vol 53 (2) ◽  
pp. 379-393 ◽  
Author(s):  
Matthew B. Obenchain ◽  
Kalyan S. Nadella ◽  
Carlos E. S. Cesnik

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