![[feed]](/style/images/feed-icon-14x14.png){kind=icon}
|
PDF (Original Article)
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
4MB | |
|
PDF (Supplementary Material)
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
198kB |
| Item Type: | Article |
|---|---|
| Title: | Patient-specific planning for thermal magnetic resonance of glioblastoma multiforme |
| Creators Name: | Oberacker, E. and Diesch, C. and Nadobny, J. and Kuehne, A. and Wust, P. and Ghadjar, P. and Niendorf, T. |
| Abstract: | Thermal intervention is a potent sensitizer of cells to chemo- and radiotherapy in cancer treatment. Glioblastoma multiforme (GBM) is a potential clinical target, given the cancer's aggressive nature and resistance to current treatment options. This drives research into optimization algorithms for treatment planning as well as radiofrequency (RF) applicator design for treatment delivery. In this work, nine clinically realistic GBM target volumes (TVs) for thermal intervention are compared using three optimization algorithms and up to ten RF applicator designs for thermal magnetic resonance. Hyperthermia treatment planning (HTP) was successfully performed for all cases, including very small, large, and even split target volumes. Minimum requirements formulated for the metrics assessing HTP outcome were met and exceeded for all patient specific cases. Results indicate a 16 channel two row arrangement to be most promising. HTP of TVs with a small extent in the cranial–caudal direction in conjunction with a large radial extent remains challenging despite the advanced optimization algorithms used. In general, deep seated targets are favorable. Overall, our findings indicate that a one-size-fits-all RF applicator might not be the ultimate approach in hyperthermia of brain tumors. It stands to reason that modular and reconfigurable RF applicator configurations might best suit the needs of targeting individual GBM geometry. |
| Keywords: | Thermal Magnetic Resonance, Radiofrequency Hyperthermia, Patient-Specific Therapy Planning, EMF Simulations, RF Applicator, Glioblastoma Multiforme |
| Source: | Cancers |
| ISSN: | 2072-6694 |
| Publisher: | MDPI |
| Volume: | 13 |
| Number: | 8 |
| Page Range: | 1867 |
| Date: | 2 April 2021 |
| Official Publication: | https://doi.org/10.3390/cancers13081867 |
| PubMed: | View item in PubMed |
Repository Staff Only: item control page
Download Statistics
Download Statistics
