Evidence map›Paper›PMID 38396016›Full record

ArticleActa neurochirurgica2024

Mechanical characteristics of glioblastoma and peritumoral tumor-free human brain tissue.

Jessica Kren, Isabelle Skambath, Patrick Kuppler, Steffen Buschschlüter, Nicolas Detrez, Sazgar Burhan, Robert Huber, Ralf Brinkmann, Matteo Mario Bonsanto

Open access · hybridAbstract read
In one paragraph

Article in Acta neurochirurgica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Jessica KrenDepartment of Neurosurgery, University Hospital Schleswig-Holstein, Luebeck, Germany. jessica.kren@uksh.de.ORCID 0009-0004-8142-0150
Isabelle SkambathDepartment of Neurosurgery, University Hospital Schleswig-Holstein, Luebeck, Germany.
Patrick KupplerDepartment of Neurosurgery, University Hospital Schleswig-Holstein, Luebeck, Germany.
Steffen BuschschlüterSoering GmbH, Quickborn, Germany.
Nicolas DetrezMedizinisches Laserzentrum Lübeck GmbH, Luebeck, Germany.
Sazgar BurhanInstitute of Biomedical Optics, University of Luebeck, Luebeck, Germany.
Robert HuberInstitute of Biomedical Optics, University of Luebeck, Luebeck, Germany.
Ralf BrinkmannMedizinisches Laserzentrum Lübeck GmbH, Luebeck, Germany.
Matteo Mario BonsantoDepartment of Neurosurgery, University Hospital Schleswig-Holstein, Luebeck, Germany.
University Hospital Schleswig-Holstein · DEMedizinisches Laserzentrum Lübeck (Germany) · DEUniversity of Lübeck · DE

Funding

Bundesministerium für Bildung und Forschung 13N14661-13N14665
6 · The paper itself

Abstract

backgroundThe diagnosis of brain tumor is a serious event for the affected patient. Surgical resection is a crucial part in the treatment of brain tumors. However, the distinction between tumor and brain tissue can be difficult, even for experienced neurosurgeons. This is especially true in the case of gliomas. In this project we examined whether the biomechanical parameters elasticity and stress relaxation behavior are suitable as additional differentiation criteria between tumorous (glioblastoma multiforme; glioblastoma, IDH-wildtype; GBM) and non-tumorous, peritumoral tissue.

methodsIndentation measurements were used to examine non-tumorous human brain tissue and GBM samples for the biomechanical properties of elasticity and stress-relaxation behavior. The results of these measurements were then used in a classification algorithm (Logistic Regression) to distinguish between tumor and non-tumor.

resultsDifferences could be found in elasticity spread and relaxation behavior between tumorous and non-tumorous tissue. Classification was successful with a sensitivity/recall of 83% (sd = 12%) and a precision of 85% (sd = 9%) for detecting tumorous tissue.

conclusionThe findings imply that the data on mechanical characteristics, with particular attention to stress relaxation behavior, can serve as an extra element in differentiating tumorous brain tissue from non-tumorous brain tissue.

Indexed as

Brain NeoplasmsGlioblastomaGliomaAlgorithmsBrainHumansBiomechanicsBrain tissueBrain tumorElasticityGlioblastomaNeurosurgeryRelaxation

Identifiers

PMID38396016
PMCPMC10891200
OpenAlexW4392111495

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.