Evidence map›Paper›PMID 42406140›Full record

ArticleJournal of neuro-oncology2026

Feasibility evaluation of tumor treating fields for brainstem gliomas.

Anthony Yulin Chen, Ryan Shah, William Shi, Noa Urman, Nadav Shapira, Nicholas Avgeropoulos, Patrick Conlon, Neil Mookerjee, Wenyin Shi

Abstract read
In one paragraph

Article in Journal of neuro-oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Anthony Yulin ChenSidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA.
Ryan ShahSidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA.
William ShiEmory University, Atlanta, GA, USA.
Noa UrmanNovocure Ltd, Haifa, Israel.
Nadav ShapiraNovocure Ltd, Haifa, Israel.
Nicholas AvgeropoulosNovocure Inc, Portsmouth, NH, UK.
Patrick ConlonNovocure Inc, Portsmouth, NH, UK.
Neil MookerjeeDepartment of Radiation Oncology, Thomas Jefferson University, 111 S 11 ST, Suite G301, Philadelphia, PA, 19017, USA.
Wenyin ShiDepartment of Radiation Oncology, Thomas Jefferson University, 111 S 11 ST, Suite G301, Philadelphia, PA, 19017, USA. Wenyin.shi@jefferson.edu.ORCID https://orcid.org/0000-0002-6336-3912

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTumor treating fields (TTFields) are FDA-approved for supratentorial glioblastoma, but feasibility in infratentorial tumors remains poorly defined. This simulation study evaluated TTFields dose in brainstem gliomas using patient-specific modeling with scalp-only transducer arrays.

methodsMRI and CT imaging from seven patients with brainstem gliomas were used for TTFields planning with MAXPOINT

resultsMAXPOINT-optimized layouts achieved significantly higher LMiFI than the standard layout across all regions (all p ≤ 0.019). GTV median LMiFI was 1.1 vs. 1.0 V/cm (p = 0.019). CTV median LMiFI was 1.1 vs. 1.0 V/cm (p = 0.002). Brainstem median LMiFI was 1.3 vs. 1.1 V/cm (p = 0.002). Posterior fossa showed the largest difference: median LMiFI 1.5 vs. 1.2 V/cm (p < 0.001). All optimized LMiFI values met or exceeded the therapeutic reference. LMiPD was also significantly higher with MAXPOINT

conclusionThis simulation study demonstrates that patient-specific modeling can achieve favorable TTFields intensities in brainstem gliomas using scalp-only arrays, supporting prospective clinical evaluation for infratentorial tumors.

Indexed as

Brain Stem NeoplasmsElectric Stimulation TherapyGliomaRadiotherapy Planning, Computer-AssistedAdultFeasibility StudiesFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedTomography, X-Ray ComputedBrainstemDosimetryGliomaTreatment planningTumor treating fields

Identifiers

PMID42406140
PMCPMC13337937

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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.