参与癌症治疗反应的大脑网络:F-FDG PET扫描的见解
Mauro Namías1, Matej Perovnik2, Daniel Huff3,4
1Fundación Centro Diagnóstico Nuclear, Buenos Aires, Argentina.
Physics in medicine and biology
|October 7, 2025
概括
治疗前的大脑代谢网络,特别是通过18F-FDG PET扫描识别的认知/语言网络,预测患者的癌症治疗反应和存活率. 较低的分数表明更好的结果.
科学领域:
- 神经科学是一个神经科学.
- 在瘤学瘤学.
- 医疗成像医学成像
背景情况:
- 癌症治疗反应和生存是关键的结果.
- 大脑代谢网络可能会影响对癌症治疗的全身反应.
- F-FDG PET成像提供了一种非侵入性的方法来评估大脑新陈代谢.
研究的目的:
- 研究癌症患者治疗前大脑代谢网络模式与治疗结果之间的关联.
- 评估这些网络对治疗反应和生存的预测价值.
- 探索癌症治疗期间大脑代谢网络的纵向变化.
主要方法:
- 对两个独立队列的回顾性分析:乳腺癌和黑色素瘤患者.
- 使用F-FDG PET扫描来得出治疗前的大脑代谢网络得分.
- 进行了接收器操作特征 (ROC) 分析和生存分析 (PFS,OS).
主要成果:
- 在两个队列中,认知/语言网络是治疗反应 (AUC > 0.84) 的强有力的预测指标.
- 良好的响应者表现出较低的认知/语言得分,而不是响应较差的响应者和健康的对照.
- 在黑色素瘤患者中,较低的认知/语言得分与较长的无进展和整体生存时间相关.
结论:
- 治疗前的大脑代谢网络模式,特别是认知/语言网络,可以作为预测癌症治疗疗效和生存的非侵入性生物标志物.
- 这些发现表明大脑新陈代谢,免疫反应和瘤学的临床结果之间存在复杂的相互作用.
- 需要进一步的前性,多模式研究来验证这些发现并阐明潜在的机制.
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