Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/33966
- Title
- Prostate implant evaluation using tumour control probability: the effect of input parameters
- Author/Creator
-
Haworth, Annette;
Ebert, Martin;
Waterhouse, David;
Joseph, David;
Duchesne, Gillian
- Institution
- The University of Newcastle. Faculty of Science & Information Technology, School of Environmental and Life Science
- Description
- In this paper, we examine the effect of treatment parameters in a model used to evaluate permanent prostate implants. The model considers the prostate to be composed of 12 sub-sections, each sub-section is assigned a cell density based on the probability of finding cancer foci in that sub-section. Wasted dose as a result of the dose rate from the implant falling below a level adequate to counteract repopulation was found to vary by 2–16% over the range of radiosensitivity and repopulation rates considered. Within the model, applied to five dose distributions, the uncertainty in the tumour control probability (TCP) values calculated for each sub-section as a result of differences in the model parameters, was found to be less than 12% in most cases for the good quality implants. The difference in TCP values was much larger for the poor quality implant. Substituting a heterogeneous distribution of α for a single mean value resulted in generally lower TCP values though introducing a cut-off value with a Gaussian distribution had a profound effect on the calculated values. Despite uncertainties in the parameters, the model was able to identify sub-sections at risk of local recurrence but as a result of these uncertainties, the TCP values can only be considered in the relative rather than absolute sense.
- Relation
- Physics in Medicine and Biology Vol. 49, Issue 16, p. 3649-3664
- Publisher Link
- http://dx.doi.org/10.1088/0031-9155/49/16/012
- Date
- 2004
- Publisher
- Institute of Physics (IOP) Publishing
- Keyword(s)
-
prostate implants;
treatment parameters;
tumour control probability
- Resource Type
- journal article
- Identifier
- http://hdl.handle.net/1959.13/33966
- Identifier
- ISSN:0031-9155
- Reviewed

3 Visitors
4 Hits
0 Downloads