预测VIM MRgFUS中手术后的副作用,基于白物质零MRI上的Thalamus优化多地图片细分 (THOMAS):一项回顾性研究
Sonoko Oshima1,2, Asher Kim1,3, Xiaonan R Sun4
1From the UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers (S.O., A.K., B.M.E., J.Y.), University of California, Los Angeles, Los Angeles, California.
AJNR. American journal of neuroradiology
|December 27, 2024
概括
在MR引导的聚焦超声波中,精确的准是关键. 这项研究表明,损伤位置相对于腹部中介乳头核细分预测了副作用,有助于治疗规划.
科学领域:
- 神经外科 神经外科
- 医疗成像医学成像
- 神经学 神经学
背景情况:
- 导向MR的聚焦超声波 (MRgFUS) 提供精确的治疗基本震和帕金森病.
- 准确地准腹腔中介乳头核 (VIM) 对于有效性和最小化副作用至关重要.
- 手术后的副作用,特别是步态和平衡问题,可能会影响患者的结果.
研究的目的:
- 评估MRgFUS病变和VIM细分之间的空间关系是否预测术后副作用.
- 为了测试这种假设,即 Thalamus Optimized Multi Atlas Segmentation (TOMAS) 可以准确地识别这些空间关系.
- 为改进MRgFUS向和减少不良事件的策略提供信息.
主要方法:
- 对30名接受单边VIM MRgFUS.患者的回顾性分析.
- 创建治疗目标,病变和VIM细分的兴趣区域 (ROI).
- 图像特征的提取:损伤体积,与VIM重叠,与VIM的距离,以及与间接目标的距离.
- 使用威尔科克森等级和总和测试对有或没有步行/平衡副作用的患者之间的特征进行比较.
- 使用ROC分析开发多变量预测模型.
主要成果:
- 患有步行/平衡副作用的患者表现出较大的胀,较少的病变与VIM重叠,更多的目标外病变,以及与VIM心脏有较大的距离.
- 对于基于检查的副作用也观察到类似的结果.
- 多变量模型在预测副作用方面实现了高AUC (0.99为自我报告,0.96为基于考试).
结论:
- 来自TOMAS的VIM细分在预测MRgFUS后的术后副作用方面是有效的.
- 与VIM相对的病变位置的空间分析是不良事件的有价值的预测指标.
- 这些发现支持对MRgFUS进行改进的向策略,以尽量减少副作用.
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