Name
Abstract | ||
|---|---|---|
Focal brachytherapy is a clinical procedure that can be used to treat low-risk prostate cancer with reduced side-effects compared to conventional brachytherapy. Current practice is to man- ually plan the placement of radioactive seeds inside the prostate to achieve a desired treatment dose. Problems with the current practice are that the manual planning is time-consuming and high doses to the urethra and rectum cause undesirable side-effects. To address this problem, we have designed an optimisation algorithm that constructs treatment plans which achieve the desired dose while minimizing dose to organs at risk. We also show that these seed plans are robust to post-operative movement of the seeds within the prostate. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.procs.2015.05.225 | Procedia Computer Science |
Keywords | Field | DocType |
optimization,brachytherapy,simulation | Computer science,Brachytherapy,Artificial intelligence,Prostate cancer,Medical physics,Prostate,Rectum,Machine learning | Conference |
Volume | ISSN | Citations |
51 | 1877-0509 | 1 |
PageRank | References | Authors |
0.35 | 1 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| John M. Betts | 1 | 4 | 2.43 |
| Christopher Mears | 2 | 63 | 6.20 |
| hayley m reynolds | 3 | 5 | 1.92 |
| Guido Tack | 4 | 377 | 27.56 |
| Kevin Leo | 5 | 1 | 0.35 |
| Martin A. Ebert | 6 | 1 | 0.35 |
| annette haworth | 7 | 3 | 1.15 |