Modelling and Detecting Tumour Oxygenation Levels
| Autor: | David J. B. Lloyd, Gary Chaffey, Anne C. Skeldon, D.A. Bradley, Vineet Mohan, Andrew Nisbet |
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| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: |
Medical Physics
Tumor Physiology lcsh:Medicine Oxygen 030218 nuclear medicine & medical imaging 0302 clinical medicine Neoplasms Basic Cancer Research lcsh:Science Multidisciplinary medicine.diagnostic_test Applied Mathematics Physics Tumour oxygenation Cell Hypoxia 3. Good health Oncology Positron emission tomography 030220 oncology & carcinogenesis Medicine Oxygen distribution Research Article Computer Modeling medicine.medical_specialty Clinical Research Design Radiation Biophysics Biophysics chemistry.chemical_element Models Biological 03 medical and health sciences In vivo medicine Humans Computer Simulation Tissue distribution Radioactive Tracers Biology Theoretical Biology Radiotherapy lcsh:R Modeling Partial pressure Surgery Kinetics chemistry Computer Science lcsh:Q Limiting oxygen concentration Mathematics |
| Zdroj: | PLoS ONE PLoS ONE, 7 (6) PLoS ONE, Vol 7, Iss 6, p e38597 (2012) |
| ISSN: | 1932-6203 |
| Popis: | Tumours that are low in oxygen (hypoxic) tend to be more aggressive and respond less well to treatment. Knowing the spatial distribution of oxygen within a tumour could therefore play an important role in treatment planning, enabling treatment to be targeted in such a way that higher doses of radiation are given to the more radioresistant tissue. Mapping the spatial distribution of oxygen in vivo is difficult. Radioactive tracers that are sensitive to different levels of oxygen are under development and in the early stages of clinical use. The concentration of these tracer chemicals can be detected via positron emission tomography resulting in a time dependent concentration profile known as a tissue activity curve (TAC). Pharmaco-kinetic models have then been used to deduce oxygen concentration from TACs. Some such models have included the fact that the spatial distribution of oxygen is often highly inhomogeneous and some have not. We show that the oxygen distribution has little impact on the form of a TAC; it is only the mean oxygen concentration that matters. This has significant consequences both in terms of the computational power needed, and in the amount of information that can be deduced from TACs. ISSN:1932-6203 |
| Databáze: | OpenAIRE |
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