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The Clinical Application of Tumor Treating Fields Therapy in Glioblastoma
Published on: April 16, 2019
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A Review on Tumor-Treating Fields (TTFields): Clinical Implications Inferred From Computational Modeling.
IEEE Reviews in Biomedical Engineering
|July 12, 2018
Summary
Tumor-treating fields (TTFields) disrupt cancer cell division using electric fields. This review details computational methods to understand TTFields
Area of Science:
- Biophysics
- Oncology
- Medical Physics
Background:
- Tumor-treating fields (TTFields) represent a non-invasive cancer therapy utilizing intermediate frequency electric fields.
- TTFields are FDA-approved for glioblastoma multiforme and are under investigation for other solid tumors.
- Understanding TTFields' mechanism and distribution is crucial for optimizing treatment efficacy.
Purpose of the Study:
- To review and summarize computational approaches for characterizing Tumor-treating fields (TTFields).
- To analyze both macroscopic and microscopic field distributions relevant to TTFields therapy.
- To correlate computational findings with preclinical and clinical outcomes.
Main Methods:
- Review of published literature on computational modeling of TTFields.
- Analysis of studies focusing on spatial distribution of electric fields in the human head.
- Examination of models simulating field effects at the cellular level.
Main Results:
- Computational models provide insights into macroscopic TTFields distribution within the human head.
- Microscopic models elucidate field interactions with individual tumor cells.
- Modeling aids in understanding TTFields' operational principles and potential clinical value.
Conclusions:
- Computational modeling is essential for characterizing Tumor-treating fields (TTFields).
- These models help predict and optimize TTFields delivery and efficacy.
- Further integration of computational approaches can enhance clinical applications of TTFields therapy.
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