Evidence map›Paper›PMID 36483066›Full record

ArticleAdvances in radiation oncology

Modulation of Tumor-Treating Fields by Cerebral Edema from Brain Tumors.

Edwin Lok, Matthew Clark, Olivia Liang, Talbia Malik, Sophia Koo, Eric T Wong

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. A New Method for Optimal Placement of Tumor Treating Fields Electrodes.bioRxiv : the preprint server for biology · 2025
    Article
  3. Article
  4. Review
  5. Review
  6. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Edwin LokBrain Tumor Center and Neuro-Oncology Unit, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
Matthew ClarkBrain Tumor Center and Neuro-Oncology Unit, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
Olivia LiangBrain Tumor Center and Neuro-Oncology Unit, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
Talbia MalikBrain Tumor Center and Neuro-Oncology Unit, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
Sophia KooBrain Tumor Center and Neuro-Oncology Unit, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
Eric T WongBrain Tumor Center and Neuro-Oncology Unit, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
Beth Israel Deaconess Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Cerebral edema is an important component of brain metastasis, and its presence may alter the distribution of tumor-treating fields (TTFields). We therefore performed a computational study to model the extent of this alteration according to various edema conditions associated with the metastasis. Methods and Materials: Postacquisition magnetic resonance imaging data sets were obtained from 2 patients with solitary brain metastases from non-small cell lung cancer. After delineation of various anatomies, 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 gross tumor volume (GTV), edema, and other cranial 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. Results: Changes in the conductivity of cerebral edema altered the electric fields, rate of energy deposition, and current density at the GTV region. At the cerebral edema region, increasing electric conductivity of the edema only decreased the electric fields and rate of energy deposition while the current density increased. The ratio of edema-to-tumor is also important because the plan quality metrics increased linearly when the edema-to-GTV ratio decreased, and increased vice versa Conclusions: Our modeling study demonstrated that cerebral edema alters the distribution of applied TTFields in patients. Personalized treatment planning will need to take into account the modulating effects of cerebral edema on TTFields as well as additional effects from a necrotic core inside the GTV.

Identifiers

PMID36483066
PMCPMC9723310
OpenAlexW4292791916

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.