Evidence map›Paper›PMID 42780572›Full record

ArticleFrontiers in oncology2026

Treating the invisible target: treatment planning targeting the microscopic tumor spread in gliomas.

Wille Häger, Iuliana Toma-Dașu, Mehdi Astaraki, Marta Lazzeroni

Abstract read
In one paragraph

Article in Frontiers in 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

4 authors.

Wille HägerDepartment of Physics, Stockholm University, Stockholm, Sweden.
Iuliana Toma-DașuDepartment of Physics, Stockholm University, Stockholm, Sweden.
Mehdi AstarakiDepartment of Oncology and Pathology, Karolinska Institute, Stockholm, Sweden.
Marta LazzeroniDepartment of Physics, Stockholm University, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Glioblastoma (GBM) is the most common primary malignant brain tumor in adults, but treatment outcome is poor, and tumor recurrence is often unavoidable. Evidence suggests that regions with tumor cell densities below the medical imaging visibility threshold are more prevalent than the current treatment methodologies account for. This study aimed to explore different treatment planning strategies that account for the microscopic tumor cell distribution. Methods: A diffusion-proliferation model was used to predict the tumor spread in three patients with GBMs, each presenting different degrees of complexity. The tumor spread was quantified as the invasion volume Results: All dose plans generated using the first methodology were clinically acceptable in terms of tumor coverage and sparing of organs at risk. The mean quality index Discussion: Incorporating tumor spread models into treatment planning for GBM is feasible and warrants further investigation to potentially enhance treatment outcomes. Dose mimicking approaches based on reference dose distribution require careful planning and become particularly challenging for large, complex targets.

Indexed as

CTVdiffusiondose paintingglioblastomagliomatreatment planningtumor modellingtumor spread

Identifiers

PMID42780572
PMCPMC13597432

What OpenQuestion holds

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Registered trials

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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.