使用定量多参数MRI与DCE-MRI和DWI进行胃癌中微卫星不稳定的术前预测
Xiao-Xue Wei1, Zi-Tong Sang1, Ya-Jun Hou1
1Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Abdominal radiology (New York)
|December 22, 2025
概括
一种新的非侵入性MRI模型使用定量成像参数准确预测微卫星不稳定性高 (MSI-H) 的胃癌. 这种方法有助于为胃癌患者进行个性化治疗计划.
科学领域:
- 在瘤学瘤学.
- 放射学 放射学是一门学科.
- 医疗成像医学成像
背景情况:
- 胃癌治疗选择往往依赖于微卫星不稳定 (MSI) 状态.
- 精确的手术前确定MSI状态对于个性化治疗至关重要.
- 目前的MSI状态确定方法可能具有侵入性或缺乏术前预测能力.
研究的目的:
- 开发和验证胃癌MSI状态的非侵入性手术前预测模型.
- 利用动态对比增强MRI (DCE-MRI) 和扩散权重成像 (DWI) 的定量参数.
- 评估模型在区分高MSI (MSI-H) 和低MSI/微卫星稳定 (MSI-L/MSS) 胃癌方面的性能.
主要方法:
- 对244名确诊MSI状态的胃癌患者进行前性研究.
- 从DCE-MRI (例如,Ktrans) 和DWI (例如,ADC) 获得的定量参数.
- 多变量逻辑回归用于构建和验证集成DCE-MRI和DWI参数的预测模型.
主要成果:
- 在MSI-H和MSI-L/MSS组之间,Ktrans,Ve,ADC,MD,DDC和D*的显著差异 (P<0.05).
- DCE-MRI模型 (Ktrans) 的AUC达到0.715;DWI模型 (ADC) 的AUC达到0.740.
- 集成的mpMRI模型显示出优异的预测性能,AUC为0.841 (P <0.05).
结论:
- 定量DCE-MRI和DWI参数为胃癌的手术前MSI-H预测提供了一种非侵入性方法.
- 综合多参数MRI (mpMRI) 模型显示MSI状态预测的高精度.
- 这种方法有可能指导胃癌管理中的个性化治疗策略.
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