ArticleCancer medicine2017
Analysis of physical characteristics of Tumor Treating Fields for human glioblastoma.
Article in Cancer medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed.
- Dosimetric impact of the positioning variation of tumor treating field electrodes in the PriCoTTF-phase I/II trial.Journal of applied clinical medical physics · 2021Trial
- A New Method for Optimal Placement of Tumor Treating Fields Electrodes.bioRxiv : the preprint server for biology · 2025Article
- Transnasal drug delivery to the brain: circumventing barriers for brain tumor patients.American journal of translational research · 2025Review
- Hydrogel and scalp/skin conductivities impact dose from tumor treating fields.Frontiers in bioengineering and biotechnology · 2025Article
- Review
- Body Fluids Modulate Propagation of Tumor Treating Fields.Advances in radiation oncology · 2024Review
- Modeling of intracranial tumor treating fields for the treatment of complex high-grade gliomas.Scientific reports · 2023Article
- Design of a novel integrated microfluidic chip for continuous separation of circulating tumor cells from peripheral blood cells.Scientific reports · 2022Article
- Guidelines for Burr Hole Surgery in Combination With Tumor Treating Fields for Glioblastoma: A Computational Study on Dose Optimization and Array Layout Planning.Frontiers in human neuroscience · 2022Article
- Elucidating the Innate Immunological Effects of Mild Magnetic Hyperthermia on U87 Human Glioblastoma Cells: An In Vitro Study.Pharmaceutics · 2021Article
- Finite element analysis of Tumor Treating Fields in a patient with posterior fossa glioblastoma.Journal of neuro-oncology · 2020Article
- Tumor treating fields: a new approach to glioblastoma therapy.Journal of neuro-oncology · 2018Review
- Article
- Analysis of physical characteristics of Tumor Treating Fields for human glioblastoma.Cancer medicine · 2017Article
- OptimalTTF-1: Enhancing tumor treating fields therapy with skull remodeling surgery. A clinical phase I trial in adult recurrent glioblastoma.Neuro-oncology advancesArticle
- Modulation of Tumor-Treating Fields by Cerebral Edema from Brain Tumors.Advances in radiation oncologyArticle
- Computational Analysis of Tumor Treating Fields for Non-Small Cell Lung Cancer in Full Thoracic Models.Advances in radiation oncologyArticle
- Tumor Treating Fields for Ovarian Carcinoma: A Modeling Study.Advances in radiation oncologyArticle
- Tumor-treating fields dosimetry in glioblastoma: Insights into treatment planning, optimization, and dose-response relationships.Neuro-oncology advancesReview
- A new method for optimal placement of tumor treating fields electrodes.Neuro-oncology advancesArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tumor Treating Fields (TTFields) therapy is an approved treatment that has known clinical efficacy against recurrent and newly diagnosed glioblastoma. However, the distribution of the electric fields and the corresponding pattern of energy deposition in the brain are poorly understood. To evaluate the physical parameters that may influence TTFields, postacquisition MP-RAGE, T1 and T2 MRI sequences from a responder with a right parietal glioblastoma were anatomically segmented and then solved using finite-element method to determine the distribution of the electric fields and rate of energy deposition at the gross tumor volume (GTV) and other intracranial structures. Electric field-volume histograms (EVH) and specific absorption rate-volume histograms (SARVH) were constructed to numerically evaluate the relative and/or absolute magnitude volumetric differences between models. The electric field parameters E
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Registered trials
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