ArticleAdvances in radiation oncology
Tumor Treating Fields for Ovarian Carcinoma: A Modeling Study.
Article in Advances in radiation oncology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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.
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Who cites it
7 citing papers in PubMed.
- Hydrogel and scalp/skin conductivities impact dose from tumor treating fields.Frontiers in bioengineering and biotechnology · 2025Article
- Catalytic Degradation of Organic Dyes Indicates Anti-Proliferative Effects of Magnetoelectric Nanoparticles.Journal of electronic materials · 2025Article
- Tumor treating fields suppress tumor cell growth and neurologic decline in models of spinal metastases.JCI insight · 2024Article
- Nanotechnology and Cancer Bioelectricity: Bridging the Gap Between Biology and Translational Medicine.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- Body Fluids Modulate Propagation of Tumor Treating Fields.Advances in radiation oncology · 2024Review
- A review of tumor treating fields (TTFields): advancements in clinical applications and mechanistic insights.Radiology and oncology · 2023Review
- Tumor treating fields (TTFields) for spinal metastasis-The case for bone removal and spinal implants as waveguides to enhance field strength at the target.Neuro-oncology advancesArticle
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeSince the inception of tumor treating fields (TTFields) therapy as a Food and Drug Administration-approved treatment with known clinical efficacy against recurrent and newly diagnosed glioblastoma, various in silico modeling studies have been performed in an effort to better understand the distribution of applied electric fields throughout the human body for various malignancies or metastases. METHODS AND MATERIALS: Postacquisition attenuation-corrected positron emission tomography-computed tomography image data sets from 2 patients with ovarian carcinoma were used to fully segment various intrapelvic and intra-abdominal gross anatomic structures. A 3-dimensional finite element mesh model was generated and then solved for the distribution of applied electric fields, rate of energy deposition, and current density at the clinical target volumes (CTVs) and other intrapelvic and intra-abdominal structures. Electric field-volume histograms, specific absorption rate-volume histograms, and current density-volume histograms were generated, by which plan quality metrics were derived from and used to evaluate relative differences in field coverage between models under various conditions.
resultsTTFields therapy distribution throughout the pelvis and abdomen was largely heterogeneous, where specifically the field intensity at the CTV was heavily influenced by surrounding anatomic structures as well as its shape and location. The electric conductivity of the CTV had a direct effect on the field strength within itself, as did the position of the arrays on the surface of the pelvis and/or abdomen.
conclusionThe combined use of electric field-volume histograms, specific absorption rate-volume histograms, current density-volume histograms, and plan quality metrics enables a personalized method to dosimetrically evaluate patients receiving TTFields therapy for ovarian carcinoma when certain patient- and tumor-specific factors are integrated with the treatment plan.
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Registered trials
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