| 1. |
- Daşu, Alexandru, et al.
(författare)
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The relationship between vascular oxygen distribution and tissue oxygenation
- 2009
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Ingår i: Advances in Experimental Medicine and Biology. - Boston, MA : Springer US. - 0065-2598 .- 2214-8019. ; 645, s. 255-260
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Tidskriftsartikel (refereegranskat)abstract
- Tumour oxygenation could be investigated through several methods that use various measuring principles and can therefore highlight its different aspects. The results have to be subsequently correlated, but this might not be straightforward due to intrinsic limitations of the measurement methods. This study describes an analysis of the relationship between vascular and tissue oxygenations that may help the interpretation of results. Simulations have been performed with a mathematical model that calculates the tissue oxygenation for complex vascular arrangements by taking into consideration the oxygen diffusion into the tissue and its consumption at the cells. The results showed that while vascular and tissue oxygenations are deterministically related, the relationship between them is not unequivocal and this could lead to uncertainties when attempting to correlate them. However, theoretical simulation could bridge the gap between the results obtained with various methods.
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| 2. |
- Daşu, Alexandru, et al.
(författare)
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Theoretical simulation of tumour oxygenation--practical applications
- 2006
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Ingår i: Advances in Experimental Medicine and Biology. - : Springer US. - 0065-2598 .- 2214-8019. ; 578, s. 357-362
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Tidskriftsartikel (refereegranskat)abstract
- Theoretical simulation of tissue oxygenation is a robust method that can be used to quantify the tissue oxygenation for a variety of applications. However, it is necessary that the relevant input parameters are used for the model describing the tumour microenvironment. The results of the simulations presented in this article suggest that the accuracy of the simulations depends very much on the method of calculation of the effects of the temporal change of the hypoxic pattern due to the opening and the closure of blood vessels. Thus, the use of average oxygenations might lead to dangerous overestimations of the treatment response. This indicates that care should be taken when incorporating hypoxia information into the biological modelling of tumour response.
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| 3. |
- Toma-Dasu, Iuliana, et al.
(författare)
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Quantifying tumour hypoxia by PET imaging : a theoretical analysis
- 2009
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Ingår i: Advances in Experimental Medicine and Biology. - Boston, MA : Springer US. - 0065-2598 .- 2214-8019. ; 645, s. 267-272
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Tidskriftsartikel (refereegranskat)abstract
- Information on tumour oxygenation could be obtained from various imaging methods, but the success of incorporating it into treatment planning depends on the accuracy of quantifying it. This study presents a theoretical analysis of the efficiency of measuring tumour hypoxia by PET imaging. Tissue oxygenations were calculated for ranges of biologically relevant physiological parameters and were then used to simulate PET images for markers with different uptake characteristics. The resulting images were used to calculate dose distributions that could lead to predefined tumour control levels. The results have shown that quantification of tumour hypoxia with PET may lead to different values according to the tracer used and the tumour site investigated. This would in turn be reflected into the dose distributions recommended by the optimisation algorithms. However, irrespective of marker-specific differences, focusing the radiation dose to the hypoxic areas appears to reduce the average tumour dose needed to achieve a certain control level.
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| 4. |
- Toma-Dasu, Iuliana, et al.
(författare)
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Quantitative hypoxia imaging for treatment planning of radiotherapy
- 2014
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Ingår i: Advances in Experimental Medicine and Biology. - New York, NY : Springer New York. - 0065-2598 .- 2214-8019. ; 812, s. 143-148
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Tidskriftsartikel (refereegranskat)abstract
- Tumour oxygenation is an important determinant of radiotherapy outcome as it could modulate cellular radiation sensitivity. Advanced PET imaging able to characterise this microenvironmental aspect in vivo might be used to devise counteracting therapies as it could provide information on the severity and the spatial distribution of the hypoxic regions. This study reviews the advantages and limitations of PET for imaging and quantifying tumour hypoxia and proposes a novel approach to obtain absolute levels of hypoxia from PET images through the use of EPR oximetry. This would offer a significant advantage over proposals based on empirical conversions of the intensities in the PET images to relative radiosensitivities. Thus, tumour hypoxia must be taken into account at the stage of treatment planning for photons and particle therapy by accounting for its extent and severity through the use of PET imaging combined with absolute EPR measurements.
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| 5. |
- Toma-Dasu, Iuliana, et al.
(författare)
-
Theoretical simulation of tumour hypoxia measurements
- 2006
-
Ingår i: Advances in Experimental Medicine and Biology. - : Springer US. - 0065-2598 .- 2214-8019. ; 578, s. 369-374
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Tidskriftsartikel (refereegranskat)abstract
- Our simulations suggested that measurements performed in a limited number of points in the tumour can be representative for the situation in the whole tumour. It has further been shown that the polarographic electrode cannot be used to measure small regions of hypoxia. In fact it has been suggested that the most important factor that determines the efficiency of the polarographic electrode is the spatial distribution of the hypoxic cells and not their type, and therefore the polarographic electrode cannot be used to make the distinction between acute and chronic hypoxia. The simulations have also shown that it is reasonable to assume that the electrode measurement can be correlated to the situation in the whole tissue, even though the correlation is only qualitative. And because the electrode measurements are greatly influenced by the averaging process, the quantitative use of the electrode measurements may lead to erroneous results, especially for modelling the treatment response.
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