Department of Neurosurgery, University Hospital Schleswig-Holstein, Luebeck, Germany.
Soering GmbH, Quickborn, Germany.
Acta Neurochir (Wien). 2024 Feb 23;166(1):102. doi: 10.1007/s00701-024-06009-x.
The 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.
Indentation 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.
Differences 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.
The 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.
脑肿瘤的诊断对患者来说是一个严重的事件。手术切除是脑肿瘤治疗的关键部分。然而，肿瘤与脑组织之间的区分即使对于经验丰富的神经外科医生来说也是困难的。这在胶质瘤病例中尤其如此。在本项目中，我们研究了生物力学参数弹性和应力松弛行为是否适合作为肿瘤（多形性胶质母细胞瘤；胶质母细胞瘤，IDH-野生型；GBM）与非肿瘤、瘤周组织之间的额外区分标准。
使用压痕测量法来检测非肿瘤性人脑组织和 GBM 样本的弹性和应力松弛行为的生物力学特性。然后，这些测量结果被用于分类算法（逻辑回归）来区分肿瘤和非肿瘤。
在肿瘤和非肿瘤组织之间可以发现弹性差异和松弛行为的差异。对于检测肿瘤组织，分类的灵敏度/召回率为 83%（标准差=12%），精度为 85%（标准差=9%）。
这些发现表明，机械特性数据，特别是对应力松弛行为的关注，可以作为区分肿瘤性脑组织与非肿瘤性脑组织的额外元素。
