Mathematical models of hematopoietic reconstitution after stem cell transplantation
Transplantation of bone marrow stem cells is a widely used option to treat leukemias and other diseases. Nevertheless this intervention is linked to life-threatening complications. Numerous clinical trials have been performed to evaluate various treatment options. Since there exist strong interindiv...
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| Main Authors: | , |
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| Format: | Chapter/Article Conference Paper |
| Language: | English |
| Published: |
2013
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| In: |
Model Based Parameter Estimation
Year: 2012, Pages: 191-206 |
| DOI: | 10.1007/978-3-642-30367-8_9 |
| Subjects: | |
| Online Access: | Verlag, Volltext: http://dx.doi.org/10.1007/978-3-642-30367-8_9 Verlag, Volltext: https://link.springer.com/chapter/10.1007/978-3-642-30367-8_9 
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| Author Notes: | Anna Marciniak-Czochra, Thomas Stiehl |
| Summary: | Transplantation of bone marrow stem cells is a widely used option to treat leukemias and other diseases. Nevertheless this intervention is linked to life-threatening complications. Numerous clinical trials have been performed to evaluate various treatment options. Since there exist strong interindividual variations in patients’ responses, results of clinical trials are hardly applicable to individual patients. In this paper a mathematical model of hematopoiesis introduced by us in(Marciniak-Czochra et al.: Stem Cells Dev. 18:377-85, 2009) is calibrated based on clinical data and applied to study several aspects of short term reconstitution after bone marrow transplantation. Parameter estimation is performed based on the data of time evolution of leukocyte counts after chemotherapy and bone marrow transplantation obtained for individual patients. The model allows to simulate various treatment options for large groups of individual patients, to compare the effects of the treatments on individual patients and to evaluate how the properties of the transplant and cytokine treatment affect the time of reconstitution. |
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| Item Description: | First online: 03 August 2012 Gesehen am 30.08.2017 |
| Physical Description: | Online Resource |
| ISBN: | 9783642303678 1299336647 |
| DOI: | 10.1007/978-3-642-30367-8_9 |