Table of Contents
Journal of Computational Medicine
Volume 2014, Article ID 831538, 5 pages
Research Article

Computational Simulation of Tumor Surgical Resection Coupled with the Immune System Response to Neoplastic Cells

1Technology and Consultancy, CTDAT, 04360 Mexico City, Mexico
2Universidad de Investigación de Tecnología Experimental Yachay, 100119 Urcuqui, Ecuador

Received 14 September 2014; Revised 12 November 2014; Accepted 12 November 2014; Published 31 December 2014

Academic Editor: Gabriela M. Wilson

Copyright © 2014 J. Jesús Naveja et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Numerous mathematical and computational models have arisen to study and predict the effects of diverse therapies against cancer (e.g., chemotherapy, immunotherapy, and even therapies under research with oncolytic viruses) but, unfortunately, few efforts have been directed towards development of tumor resection models, the first therapy against cancer. The model hereby presented was stated upon fundamental assumptions to produce a predictor of the clinical outcomes of patients undergoing a tumor resection. It uses ordinary differential equations validated for predicting the immune system response and the tumor growth in oncologic patients. This model could be further extended to a personalized prognosis predictor and tools for improving therapeutic strategies.