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试图通过机械压痕测量来识别神经外科中的脑瘤组织。

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

机构信息

Department of Neurosurgery, UKSH, University of Luebeck, Luebeck, Germany.

Soering GmbH, Quickborn, Germany.

出版信息

Acta Neurochir (Wien). 2024 Aug 21;166(1):343. doi: 10.1007/s00701-024-06218-4.

DOI:10.1007/s00701-024-06218-4
PMID:39167233
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11339078/
Abstract

BACKGROUND

The 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.

METHODS

In 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.

RESULTS

We 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.

CONCLUSION

The 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.

摘要

背景

在现代神经外科中,使用各种多模态技术,如神经导航、荧光染料、术中超声或术中 MRI,以及神经外科医生的触觉经验,来区分肿瘤组织、健康脑组织和中枢神经系统的任何敏感结构。通过开发具有集成触觉的仪器来支持外科医生,可以为术中识别健康和患病组织提供进一步的客观维度。

方法

在这项研究中,我们描述了在神经外科手术过程中直接在手术室中进行的不同肿瘤的人体脑组织样本的术中机械压痕测量,时间框架最长为五分钟。我们概述了不同脑肿瘤实体的杨氏模量,并有可能对其进行区分。

结果

我们检查了 75 例肿瘤切除术中的 238 个样本。仅通过杨氏模量既不可能明确区分肿瘤组织与健康脑组织,也不可能区分不同的肿瘤实体。可以发现外科医生的僵硬分级与我们的测量之间存在相关性。

结论

由测量的杨氏模量给出的脑肿瘤的力学行为与神经外科医生的僵硬评估非常吻合,并且可以很好地提供有关脑肿瘤组织力学特性的进一步信息。然而,我们的研究结果表明,通过压痕获得的信息是有限的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b042/11339078/0ff6743f3c87/701_2024_6218_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b042/11339078/31b0344f9b6e/701_2024_6218_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b042/11339078/836b65bbbba2/701_2024_6218_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b042/11339078/160661d4162d/701_2024_6218_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b042/11339078/0ff6743f3c87/701_2024_6218_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b042/11339078/31b0344f9b6e/701_2024_6218_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b042/11339078/836b65bbbba2/701_2024_6218_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b042/11339078/160661d4162d/701_2024_6218_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b042/11339078/0ff6743f3c87/701_2024_6218_Fig4_HTML.jpg

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