Evidence map›Paper›PMID 39167233›Full record

ArticleActa neurochirurgica2024

An attempt to identify brain tumour tissue in neurosurgery by mechanical indentation measurements.

Isabelle Skambath, Jessica Kren, Patrick Kuppler, Steffen Buschschlueter, Matteo Mario Bonsanto

Abstract 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 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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  2. TheMaterials today. Bio · 2026
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Isabelle Skambath *Department of Neurosurgery, UKSH, University of Luebeck, Luebeck, Germany. Isabelle.Skambath@uksh.de.ORCID 0009-0002-2721-7472
Jessica Kren *Department of Neurosurgery, UKSH, University of Luebeck, Luebeck, Germany.
Patrick Kuppler *Department of Neurosurgery, UKSH, University of Luebeck, Luebeck, Germany.
Steffen Buschschlueter *Soering GmbH, Quickborn, Germany.
Matteo Mario Bonsanto *Department of Neurosurgery, UKSH, University of Luebeck, Luebeck, Germany.

Funding

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

Abstract

backgroundThe intraoperative differentiation between tumour tissue, healthy brain tissue, and any sensitive structure of the central nervous system is carried out in modern neurosurgery using various multimodal technologies such as neuronavigation, fluorescent dyes, intraoperative ultrasound or the use of intraoperative MRI, but also the haptic experience of the neurosurgeon. Supporting the surgeon by developing instruments with integrated haptics could provide a further objective dimension in the intraoperative recognition of healthy and diseased tissue.

methodsIn this study, we describe intraoperative mechanical indentation measurements of human brain tissue samples of different tumours taken during neurosurgical operation and measured directly in the operating theatre, in a time frame of maximum five minutes. We present an overview of the Young's modulus for the different brain tumour entities and potentially differentiation between them.

resultsWe examined 238 samples of 75 tumour removals. Neither a clear distinction of tumour tissue against healthy brain tissue, nor differentiation of different tumour entities was possible on solely the Young's modulus. Correlation between the stiffness grading of the surgeon and our measurements could be found.

conclusionThe mechanical behaviour of brain tumours given by the measured Young's modulus corresponds well to the stiffness assessment of the neurosurgeon and can be a great tool for further information on mechanical characteristics of brain tumour tissue. Nevertheless, our findings imply that the information gained through indentation is limited.

Indexed as

Brain NeoplasmsElastic ModulusNeurosurgical ProceduresBrainHumansBrain tumour surgeryElasticityIndentation measurementsTissue biomechanicsTissue classification

Identifiers

PMID39167233
PMCPMC11339078

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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.