Evidence map›Paper›PMID 35317645›Full record

ArticleJournal of the Royal Society, Interface2022

Modelling glioma progression, mass effect and intracranial pressure in patient anatomy.

Jana Lipková, Bjoern Menze, Benedikt Wiestler, Petros Koumoutsakos, John S Lowengrub

Open access · hybridAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

17 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
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  3. Article
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  7. Review
  8. Identifiability and model selection frameworks for models of high-grade glioma response to chemoradiation.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025
    Article
  9. Tissue stresses caused by invasive tumour: a biomechanical model.Journal of the Royal Society, Interface · 2025
    Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Nanomedicine for Glioblastoma Therapy: Novel Insights and Future Perspectives.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology
    Review
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

5 authors at 5 institutions in 3 countries.

Jana LipkováDepartment of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.ORCID 0000-0001-8101-4794
Bjoern MenzeDepartment of Informatics, Technical University of Munich, Munich, Germany.ORCID 0000-0003-4136-5690
Benedikt WiestlerDepartment of Neuroradiology, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.ORCID 0000-0002-2963-7772
Petros KoumoutsakosComputational Science and Engineering Lab, ETH Zürich, Zürich, Switzerland.ORCID 0000-0001-8337-2122
John S LowengrubDepartment of Mathematics, University of California, Irvine, CA, USA.ORCID 0000-0003-1759-0900
Broad Institute · USHarvard University · USTUM Klinikum · DEUniversity of California, Irvine · USUniversity of Zurich · CH

Funding

Univ.of Calif., Irvine Cancer Center Support GrantP30CA062203 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Melanie Funes · 1994 to 2026
$57.9M
Shared Resource Core: Single Cell AnalysisU54CA217378 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI LANDER, ARTHUR D, LOWENGRUB, JOHN · 2018 to 2022
$9.7M
NCI NIH HHS P30 CA062203NCI NIH HHS U54 CA217378
6 · The paper itself

Abstract

Increased intracranial pressure is the source of most critical symptoms in patients with glioma, and often the main cause of death. Clinical interventions could benefit from non-invasive estimates of the pressure distribution in the patient's parenchyma provided by computational models. However, existing glioma models do not simulate the pressure distribution and they rely on a large number of model parameters, which complicates their calibration from available patient data. Here we present a novel model for glioma growth, pressure distribution and corresponding brain deformation. The distinct feature of our approach is that the pressure is directly derived from tumour dynamics and patient-specific anatomy, providing non-invasive insights into the patient's state. The model predictions allow estimation of critical conditions such as intracranial hypertension, brain midline shift or neurological and cognitive impairments. A diffuse-domain formalism is employed to allow for efficient numerical implementation of the model in the patient-specific brain anatomy. The model is tested on synthetic and clinical cases. To facilitate clinical deployment, a high-performance computing implementation of the model has been publicly released.

Indexed as

GliomaIntracranial HypertensionBrainHeadHumansIntracranial Pressurebrain deformationgliomaintracranial pressurepatient-specific modellingtumour mass effect

Identifiers

PMID35317645
PMCPMC8941421
OpenAlexW4220872679

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.