dc.contributor.author | Lagerlöf, Jakob | |
dc.date.accessioned | 2014-03-07T08:05:30Z | |
dc.date.available | 2014-03-07T08:05:30Z | |
dc.date.issued | 2014-03-07 | |
dc.identifier.isbn | 978-91-637-5257-5 | |
dc.identifier.uri | http://hdl.handle.net/2077/34840 | |
dc.description.abstract | This thesis aims to investigate theoretically how parameters such as vessel density, blood
oxygenation, blood velocity, spatial oxygen variation along vessels, tissue oxygen consumption
and their distributions in uence the radiosensitivity of tumours.
Numerical calculations are made in Matlab using voxel-based models. Direct and indirect
Monte Carlo based methods are used, e.g. kernels for dose calculations and randombased
models for simulation of in oxygen and activity distributions in tumours. Oxygen
di usion is calculated using a Green's function based method and oxygen consumption
follows the Michaelis-Menten kinetic model. Cryosectioning and immunostaining of insulinoma
from mouse is done for model development. The linear quadratic cell survival
model , including the oxygen e ect, is used to calculate tumour control probability (TCP)
and absorbed doses. Convolutions, with di usion and dose kernels, are preferably made in
frequency space for computational reasons.
By raising the oxygen pressure (pO2), through antiangiogenic treatment, in tumours
and retaining TCP, radiation damage to normal tissues can be strongly reduced. Variation
of blood pO2 a ects the position of the pO2 distribution while altered vessel density
a ects the distribution shape. The greatest increase in radiosensitivity by increased pO2
is achieved for 50% relative vessel density. In tumour oxygenation modelling, pO2 of the
blood must vary along the vessel and a random distribution of pO2 in incoming blood is
used to get realistic results.
Combining improved oxygenation and radionuclide uptake shows great potential of
improving radionuclide treatment. There is an optimum region of vessel density where the
highest increase in radiosensitivity is achieved by increasing blood pO2. It appears to be
possible to determine the cause of hypoxia from the shape of the pO2 distribution. To
make a good estimate of treatment result, it is crucial to know the full pO2 distribution
and not only the mean or the hypoxic fraction. Improving oxygenation of partly necrotic
tumours is not always bene cial for radiation treatment. Small spherical tumours are more
sensitive than larger ones to the shape of the pO2 distribution. This is likely because a
hypoxic region of a small tumour is more a ected by its location relative to the tumour
centre, given constant thickness, due to the relatively greater di erence in radius and therefore
volume. | sv |
dc.language.iso | eng | sv |
dc.relation.haspart | I. J.H. Lagerlöf, J. Kindblom and P. Bernhardt, 3D modeling of effects of increased
oxygenation and activity concentration in tumors treated with radionuclides and
antiangiogenic drugs ::PMID::21928660 | sv |
dc.relation.haspart | II. J.H. Lagerlöf, J. Kindblom, E. Cortez, K. Pietras and P. Bernhardt, Image-based
3D modeling study of the influence of vessel density and blood hemoglobin concentration
on tumor oxygenation and response to irradiation ::PMID::23387780 | sv |
dc.relation.haspart | III. J.H. Lagerlöf, J. Kindblomand P. Bernhardt, The impact of including spatially
longitudinal heterogeneities of vessel oxygen content and vascular fraction in
3D tumour oxygenation models on predicted radiation sensitivity - accepted | sv |
dc.relation.haspart | IV. J.H. Lagerlöf, J. Kindblom and P. Bernhardt, Oxygen distribution in tumours -
a qualitative analysis and modelling study providing a novel Monte Carlo approach - submitted | sv |
dc.subject | Angiogenesis | sv |
dc.subject | Dosimetry | sv |
dc.subject | Hypoxia | sv |
dc.subject | Modelling | sv |
dc.subject | Radionuclide therapy | sv |
dc.subject | Radiotherapy | sv |
dc.subject | Tumour Control Probability | sv |
dc.title | Tumour vasculature, oxygenation and radiosensitivity - a numerical modelling study | sv |
dc.type | text | eng |
dc.type.svep | Doctoral thesis | eng |
dc.gup.mail | jakob@radfys.gu.se | sv |
dc.type.degree | Doctor of Philosophy (Medicine) | sv |
dc.gup.origin | University of Gothenburg. Sahlgrenska Academy | sv |
dc.gup.department | Institute of Clincial Sciences. Department of Radiation Physics | sv |
dc.gup.defenceplace | Fredagen den 28 mars 2014, kl. 13.00, Hörsal Arvid Carlsson, Academicum, Medicinaregatan 3 | sv |
dc.gup.defencedate | 2014-03-28 | |
dc.gup.dissdb-fakultet | SA | |