Conference paper ยท Journal article
Estimating the Intensity and Anisotropy of Tumor Treating Fields Jsing Singular Value Decomposition. Towards a More Comprehensive Estimation of Anti-tumor Efficacy
Tumor treating fields (TTFields) is an anticancer treatment that inhibits tumor growth with alternating electrical fields. Finite element (FE) methods have been used to estimate the TTFields intensity as a measure of treatment 'dose'. However, TTFields efficacy also depends on field direction and exposure time.
Here we propose a new FE based approach, which uses all these parameters to quantify the average field intensity and the amount of unwanted directional field correlation (fractional anisotropy, FA). The method is based on principal component decomposition of the sequential TTFields over one duty cycle.
Using a realistic head model of a glioblastoma patient, we observed significant unwanted FA in many regions of the brain, which may potentially affect therapeutic efficacy. FA varied between different array layouts and indicated a different order of array performance than predicted from the field intensity.
Tumor resection nullified differences in field distributions between layouts and increased FA considerably. Our results question the rationale for the use of macroscopically orthogonal array layouts to reduce field correlation and rather indicate that arrays should be placed to maximize pathology coverage and field intensity.
The proposed calculation framework has several potential applications, incl. improved treatment planning, technology development, and accurate prognostication models. Future studies are required to validate the method.
Language: | English |
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Publisher: | IEEE |
Year: | 2018 |
Pages: | 4897-4900 |
Proceedings: | 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
ISBN: | 1538636468 , 1538636476 , 9781538636466 , 9781538636473 , 153863645X and 9781538636459 |
ISSN: | 15584615 , 1094687x , 26940604 and 1557170x |
Types: | Conference paper and Journal article |
DOI: | 10.1109/EMBC.2018.8513440 |
ORCIDs: | Thielscher, Axel and 0000-0003-4285-8171 |
Anisotropic magnetoresistance Anisotropy Brain Brain modeling Cancer Correlation Electric potential Electricity Glioblastoma Head Humans Layout TTFields efficacy TTFields intensity Tumors alternating electrical fields anti-tumor efficacy anticancer treatment bioelectric phenomena biomedical MRI brain cancer finite element analysis finite element methods macroscopically orthogonal array layouts patient treatment principal component decomposition singular value decomposition therapeutic efficacy treatment dose tumor growth tumor resection tumor treating fields tumours