为了系统地分类选择接受清醒手术的患者:确定合适的预测变量
Leonie Kram1,2, Beate Neu1, Axel Schroeder1
1Department of Neurosurgery, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany.
Frontiers in human neuroscience
|May 17, 2024
概括
年轻的年龄,高语言口才,以及较少的语言错误预测了质瘤的成功醒着骨切除术. 这些因素有助于客观地为这种标准脑外科手术程序选择患者.
科学领域:
- 神经外科 神经外科
- 在瘤学瘤学.
- 神经语言学是一种神经语言学.
背景情况:
- 醒着的骨切除术是语言表达性质瘤的标准.
- 目前,患者的选择是异质的,基于手术前的功能.
- 需要客观的标准来进行系统的患者选择.
研究的目的:
- 识别醒着的骨切除术的广泛适用的预测因素.
- 制定系统和客观的患者选择标准.
- 改善对清醒时进行脑部手术的可行性评估.
主要方法:
- 对96名质瘤患者的手术前数据进行了后期分析.
- 分析包括语言状态,患者和瘤特征.
- 使用了多项逻辑回归和逐步变量选择.
主要成果:
- 较高的帕拉法西亚,较低的年龄和较高的语言口才预测了醒着手术的可行性.
- 确定了切线点:≤54岁和语言口才水平≥6.
- 预先存在的语义/语音失语也预测了适合性.
结论:
- 识别出来的因素可以成为标准化患者分级的基础.
- 建议的分级系统可以很容易地集成到手术前的工作流程中.
- 需要对已识别的切线点进行进一步验证.
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