未经治疗的成年质瘤遗传特征的明显扩散系数:通过方法分层的元分析
Faheem Bhatti1,2, Joachim Strobel3,4, Christopher Tench5
1Nottingham University Hospitals NHS Trust, Nottingham, UK.
Neuro-oncology advances
|October 22, 2025
概括
表面扩散系数 (ADC) 值可以非侵入性地预测成年扩散性质瘤中异酸盐脱酶 (IDH) 突变状态. 这次系统性审查发现ADC值是IDH状态的可靠成像生物标志物,支持其在临床实践中的使用.
科学领域:
- 神经瘤学神经瘤学
- 放射学 放射学是一门学科.
- 分子诊断学 分子诊断
背景情况:
- 异酸脱酶 (IDH) 突变和1p19q代选择对于成年扩散性质瘤预后分组至关重要.
- 表面扩散系数 (ADC) 值为质瘤分子状况的非侵入性预测提供了潜力.
研究的目的:
- 系统地审查和元分析ADC值的诊断准确性,以预测成年扩散性结质瘤中的IDH突变和1p19q代选择.
- 评估测量技术和瘤等级对ADC预测性能的影响.
主要方法:
- 在2024年12月进行了PubMed和Cochrane图书馆数据库的系统搜索.
- 研究根据ADC参数和测量技术进行分组;进行了元分析和埃格尔回归测试.
- 通过QUADAS-2工具评估研究质量.
主要成果:
- 与4297名患者进行的33项研究符合IDH突变 (30项研究) 和1p19q代选择 (14项研究) 的纳入标准.
- 对于IDH突变预测的AUC值在0.743到0.804之间;对于1p19q代选择,它们在0.678到0.692.4之间.
- 在区域与体积测量,ADC平均值与ADC最小值,或正常化与原始ADC数据之间,没有发现诊断准确度的显著差异.
结论:
- 支持ADC值作为一个有价值的成像生物标志物,用于预测未经治疗的质瘤中IDH状态.
- 感兴趣地区 (ROI) 测量,特别是单个ADC平均值,是高效的,可重复的,并且与体积测量方法在统计上可比.
- 在ADC正常化时没有观察到更高的诊断准确性;已发表的ADC值被总结为未来的验证.
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