Preliminary investigation of the inhibitory effects of mechanical stress in tumor growth

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 6918, Issue , 2008, Pages

  Garg, Ishita ^a   Miga, Michael I ^a  

^a VANDERBILT UNIVERSITY   (United States)

Author keywords

Disease characterization; Image guided therapy; Modeling; Neurosurgical procedures; Registration

Indexed keywords

DIFFUSIVITY; FINITE DIFFERENCE (FD); GAUSSIAN; GROWTH MODELING; IMAGE-GUIDED PROCEDURES; INHIBITORY EFFECTS; MASS EFFECTS; MECHANICAL STRESSING; MODEL BASED (OPC); NORMAL TISSUES; REACTION-DIFFUSION EQUATIONS; REALISTIC MODELING; STRESS FIELDS; TUMOR CELLS; TUMOR GROWTH;

ADDITION REACTIONS; BRAIN MODELS; DIFFUSION; DIFFUSION IN LIQUIDS; FINITE DIFFERENCE METHOD; GAUSSIAN DISTRIBUTION; IMAGING TECHNIQUES; KETONES; LINEAR EQUATIONS; MATHEMATICAL MODELS; MEDICAL IMAGING; NUMERICAL ANALYSIS; NUMERICAL METHODS; PHOTOACOUSTIC EFFECT; REACTION KINETICS; SEMICONDUCTOR DOPING; STRESSES; SURGERY; TISSUE; TUMORS; VISUALIZATION;

CELL GROWTH;

EID: 44949190513     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.773376     Document Type: Conference Paper

References (14)

1. Schwartzbaum, J. A., Fisher, J. L., Aldape, K. D. and Wrensch, M., "Epidemiology and molecular pathology of glioma," Nature Clinical Practice Neurology 2(9), 494-503 (2006).
2. Greenwood, R., Barnes, M. P., McMillan, T. M. and Ward, C. D., [Neurological Rehabilitation], Psychology Press, 535-537 (1997).
3. CBTRUS, "Statistical Report: Primary Brain Tumors in the United States, 1998-2002," http://www.cbtrus.org (2005).
4. Swanson, K. R., Alvord, E. C., Jr. and Murray, J. D., "Virtual brain tumours (gliomas) enhance the reality of medical imaging and highlight inadequacies of current therapy," Br J Cancer 86(1), 14-18 (2002).
5. Swanson, K. R., Bridge, C., Murray, J. D. and Alvord, E. C., Jr., "Virtual and real brain tumors: using mathematical modeling to quantify glioma growth and invasion," J Neurol Sci 216(1), 1-10 (2003).
6. Jbabdi, S., Mandonnet, E., Duffau, H., Capelle, L., Swanson, K. R., Pelegrini-Issac, M., Guillevin, R. and Benali, H., "Simulation of anisotropic growth of low-grade gliomas using diffusion tensor imaging," Magn Reson Med 54(3), 616-624 (2005).
7. Clatz, O., Sermesant, M., Bondiau, P. Y., Delingette, H., Warfield, S. K., Malandain, G. and Ayache, N., "Realistic simulation of the 3-D growth of brain tumors in MR images coupling diffusion with biomechanical deformation," IEEE Trans Med Imaging 24(10), 1334-1346 (2005).
8. Stein, A. M., Demuth, T., Mobley, D., Berens, M. and Sander, L. M., "A mathematical model of glioblastoma tumor spheroid invasion in a three-dimensional in vitro experiment," Biophysical Journal 92(10), 356-365 (2006).
9. Helmlinger, G., Netti, P. A., Lichtenbeld, H. C., Melder, R. J. and Jain, R. K., "Solid stress inhibits the growth of multicellular tumor spheroids," Nature Biotechnology 15(8), 778-783 (1997).
10. Ambrosi, D. and Mollica, F., "The role of stress in the growth of a multicell spheroid," J. Math. Biol. 48(5), 477-499 (2004).
11. Roose, T., Netti, P. A., Munn, L. L., Boucher, Y. and Jain, R. K., "Solid stress generated by spheroid growth estimated using a linear poroelasticity model," Microvascular Research 66(204-212 (2003).
12. Cruywagen, G., Woodward, D., Tracqui, P., Bartoo, G., Murray, J. D. and Alvord, E. C., Jr., "The modeling of diffusive tumours," J. Biological Syst. 3(4), 937-945 (1995).
13. Dumpuri, P., Thompson, R. C., Dawant, B. M., Cao, A. and Miga, M. I., "An atlas-based method to compensate for brain shift: preliminary results," Medical Image Analysis 11(2), 128-145 (2007).
14. Boresi, A. P. and Chong, K. P., [Elasticity in Engineering Mechanics], John Wiley & Sons, New York, 438-451 (2000).