Evidence map›Paper›PMID 38560348›Full record

ReviewNeuro-oncology advances

Tumor-treating fields dosimetry in glioblastoma: Insights into treatment planning, optimization, and dose-response relationships.

Nikola Mikic, Nichal Gentilal, Fang Cao, Edwin Lok, Eric T Wong, Matthew Ballo, Martin Glas, Pedro C Miranda, Axel Thielscher, Anders R Korshoej

Open access · goldAbstract readReview
In one paragraph

Review in Neuro-oncology advances. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. A New Method for Optimal Placement of Tumor Treating Fields Electrodes.bioRxiv : the preprint server for biology · 2025
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
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

10 authors at 7 institutions in 4 countries.

Nikola MikicDepartment of Neurosurgery, Aarhus University Hospital, Aarhus, Denmark.ORCID https://orcid.org/0000-0002-6947-4621
Nichal GentilalInstituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências da Universidade de Lisboa, Lisboa, Portugal.
Fang CaoDepartment of Health Technology, Center for Magnetic Resonance, Technical University of Denmark, Kgs. Lyngby, Denmark.
Edwin LokBrain Tumor Center and Neuro-Oncology Unit, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
Eric T WongDivision of Hematology/Oncology, Department of Medicine, Rhode Island Hospital, Providence, Rhode Island, USA.
Matthew BalloDepartment of Radiation Oncology, West Cancer Center and Research Institute, Memphis, Tennessee, USA.
Martin GlasDivision of Clinical Neurooncology, Department of Neurology and German Cancer Consortium (DKTK) Partner Site, University Hospital Essen, University Duisburg-Essen, Essen, Germany.ORCID https://orcid.org/0000-0003-3167-3403
Pedro C MirandaInstituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências da Universidade de Lisboa, Lisboa, Portugal.
Axel ThielscherDepartment of Health Technology, Center for Magnetic Resonance, Technical University of Denmark, Kgs. Lyngby, Denmark.
Anders R KorshoejDepartment of Neurosurgery, Aarhus University Hospital, Aarhus, Denmark.
Aarhus University · DKHvidovre Hospital · DKUniversity of Lisbon · PTBeth Israel Deaconess Medical Center · USDeutschen Konsortium für Translationale Krebsforschung · DERhode Island Hospital · USWest Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor-treating fields (TTFields) are currently a Category 1A treatment recommendation by the US National Comprehensive Cancer Center for patients with newly diagnosed glioblastoma. Although the mechanism of action of TTFields has been partly elucidated, tangible and standardized metrics are lacking to assess antitumor dose and effects of the treatment. This paper outlines and evaluates the current standards and methodologies in the estimation of the TTFields distribution and dose measurement in the brain and highlights the most important principles governing TTFields dosimetry. The focus is on clinical utility to facilitate a practical understanding of these principles and how they can be used to guide treatment. The current evidence for a correlation between TTFields dose, tumor growth, and clinical outcome will be presented and discussed. Furthermore, we will provide perspectives and updated insights into the planning and optimization of TTFields therapy for glioblastoma by reviewing how the dose and thermal effects of TTFields are affected by factors such as tumor location and morphology, peritumoral edema, electrode array position, treatment duration (compliance), array "edge effect," electrical duty cycle, and skull-remodeling surgery. Finally, perspectives are provided on how to optimize the efficacy of future TTFields therapy.

Indexed as

computational head modelingdosimetryglioblastomatumor-treating fields

Identifiers

PMID38560348
PMCPMC10981464
OpenAlexW4392401570

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.