Tumor-induced effects on PO2 distribution in a normal tissue

Li, Mao and Li, Yan and Wen, Peng (Paul) (2012) Tumor-induced effects on PO2 distribution in a normal tissue. In: 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics: Global Grand Challenge of Health Informatics (BHI 2012), 2-7 Jan 2012, Hong Kong and Shenzhen, China.

Abstract

A tumor in a normal tissue will introduce some significant physiological and pathological changes to the adjacent normal tissues. To quantitatively study how the tumor affects the partial oxygen pressure (PO2) distribution in a normal tissue, an improved Krogh’s cylinder model that is more realistic than an assumption of homogeneous PO2 distribution in a certain region is used to describe the oxygen diffusion from a capillary into its surrounding tissue. In this study, a comparison of the oxygen transport in a normal tissue without tumors and with an implanted tumor is presented. The results show that when a tumor is implanted at the upstream part of a capillary, the entire surrounding normal tissue that is located at the downstream part of the capillary suffers from a low level of oxygen, and the PO2 in the normal tissue decreases by an average of 16%. In contrast, a tumor located at the downstream part of a capillary makes a slight impact on the PO2 distribution in the upstream normal tissue. However, in both situations, a part of the tumor mass that is far from the capillary is in the quiescent even necrotic status due to the lack of sufficient supply of oxygen.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to published version due to publisher copyright policy.
Depositing User: Dr Yan Li
Faculty / Department / School: Historic - Faculty of Sciences - Department of Maths and Computing
Date Deposited: 25 Oct 2012 02:17
Last Modified: 16 Sep 2014 22:12
Uncontrolled Keywords: tumor growth; oxygen transport; diffusion; cylinder model
Fields of Research (FOR2008): 10 Technology > 1004 Medical Biotechnology > 100402 Medical Biotechnology Diagnostics (incl. Biosensors)
01 Mathematical Sciences > 0102 Applied Mathematics > 010202 Biological Mathematics
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080110 Simulation and Modelling
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
E Expanding Knowledge > 97 Expanding Knowledge > 970111 Expanding Knowledge in the Medical and Health Sciences
Identification Number or DOI: doi: 10.1109/BHI.2012.6211594
URI: http://eprints.usq.edu.au/id/eprint/21221

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