Evidence map›Paper›PMID 41332854›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Mechanical Instability as a Signature of Viscoelastic Decoupling at the Tumor-Brain Interface.

Jan Saip Aunan-Diop, Ancuta Ioana Friismose, Emi Hojo, Yin Ziying, Bo Halle, Frederik Harbo, Bo Mussmann, Frantz Rom Poulsen

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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

5 · Who and what money

Authors and funding

8 authors.

Jan Saip Aunan-DiopDepartment of Neurosurgery, Odense University Hospital, Denmark.ORCID 0000-0002-3009-6344
Ancuta Ioana FriismoseDepartment of Radiology, Odense University Hospital, Denmark.ORCID 0000-0003-3248-230X
Emi HojoDepartment of Radiology, Mayo Clinic, Rochester, MN.ORCID 0000-0002-4229-0435
Yin ZiyingDepartment of Radiology, Mayo Clinic, Rochester, MN.ORCID 0000-0003-3235-966X
Bo HalleDepartment of Neurosurgery, Odense University Hospital, Denmark.ORCID 0000-0001-9930-4490
Frederik HarboDepartment of Neurosurgery, Odense University Hospital, Denmark.ORCID 0000-0002-2644-8263
Bo MussmannDepartment of Radiology, Odense University Hospital, Denmark.ORCID 0000-0003-2119-5129
Frantz Rom PoulsenDepartment of Neurosurgery, Odense University Hospital, Denmark.ORCID 0000-0001-5715-6901

Funding

Magnetic Resonance ElastographyR37EB001981 · NIBIB · MAYO CLINIC ROCHESTER · PI EHMAN, RICHARD L. · 2016 to 2025
$4.0M
MR elastography-based detection of impaired decoupling performance of the pia-arachnoid complex (PAC) associated with repetitive head impactsR01NS113760 · NINDS · MAYO CLINIC ROCHESTER · PI Ziying Yin · 2019 to 2026
$2.9M
NIBIB NIH HHS R37 EB001981NINDS NIH HHS R01 NS113760
6 · The paper itself

Abstract

Brain tumors alter the viscoelastic equilibrium of surrounding tissue, but how these changes shape the mechanics of tumor-brain coupling remains unclear. This study introduces mechanical instability mapping, a voxelwise measure of imbalance between elastic storage and viscous dissipation derived from magnetic resonance elastography (MRE). Twenty-eight patients (15 meningiomas, 13 glioblastomas) were analyzed using standardized 3 T MRE and tumor segmentation. Quantitative descriptors of instability topology-including skeleton length and branch-point densities, and radial persistence (radial-AUC)-were compared across WHO I, WHO II, and glioblastoma groups. Glioblastomas showed diffuse, branched instability fields with significantly higher skeleton and branch-point densities and lower radial-AUC compared with WHO I meningiomas, which exhibited compact, radially coherent patterns; WHO II meningiomas were intermediate. Group-average probability maps confirmed a transition from coherent to fragmented instability with increasing malignancy. These findings demonstrate that peritumoral mechanical topology reflects the degree of viscoelastic coupling at the tumor-brain interface. Instability mapping thereby extends conventional stiffness-based MRE metrics, offering a quantitative framework for assessing interface integrity and heterogeneity that may aid in elasticity-guided treatment strategies and biomechanical phenotyping of brain tumors.

Indexed as

GlioblastomaMagnetic Resonance ElastographyMechanical instabilityMeningiomaTumor–brain interfaceViscoelasticity

Identifiers

PMID41332854
PMCPMC12668104

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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.