在预测成年型扩散性质瘤的Ki-67扩散时,从手术前多模扩散性MRI中获得的组图特征的附加预后价值
Yingqian Huang1, Siyuan He1, Hangtong Hu2
1Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Quantitative imaging in medicine and surgery
|September 2, 2025
概括
非侵入性扩散MRI放射学准确预测Ki-67标记指数 (LI) 和扩散性质瘤的存活率. 这种多参数组图分析为预后提供了一个有前途的替代方法.
科学领域:
- 神经成像
- 癌症学
- 辐射学
背景情况:
- Ki-67标记指数对于分类扩散性质瘤和预测存活率至关重要.
- 目前的评估需要进行侵入性活检或切除,限制了非侵入性预后能力.
- 本研究探讨使用先进的MRI技术进行Ki-67 LI和生存的非侵入性预测.
研究的目的:
- 调查多参数扩散MRI分析在成人类型扩散质瘤中预测Ki-67LI的有效性.
- 评估基于扩散磁共振成像 (MRI) 的预测患者生存能力.
主要方法:
- 123名成年型扩散性质瘤患者接受了手术前扩散性MRI (DTI,DKI,NODDI).
- 扩散指标的基因图特征被提取来构建一个名图模型.
- 对Ki-67 LI预测和整体存活 (OS) 的nomogram的性能得到了验证.
主要成果:
- 一个包含八个组图特征的名图表在预测Ki-67 LI方面表现出很高的准确性 (训练和测试组中的AUC为0. 92和0. 84).
- 这种模型对质瘤分类有很好的区别.
- 较低的诺姆图分数与改善的生存状况独立相关 (P<0. 01).
结论:
- 多模扩散核磁共振图的放射学能够准确地在扩散性质瘤中预测Ki-67 LI.
- 这种方法可靠地预测患者的存活率,为临床决策提供了宝贵的工具.
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