放射性特征定义了风险,并且与初级中枢神经系统淋巴瘤中的DNA甲基化属性有关
Karl-Heinz Nenning1,2, Johanna Gesperger3,4, Julia Furtner5,6
1Department of Biomedical Imaging and Image-guided Therapy, Computational Imaging Research Laboratory, Medical University of Vienna, Vienna, Austria.
Neuro-oncology advances
|November 29, 2023
概括
来自MRI扫描的放射性特征预测了初级中枢神经系统淋巴瘤患者的生存率. 这种基于成像的风险评分补充了分子数据,有助于为这种侵略性癌症制定个性化治疗策略.
科学领域:
- 神经瘤学神经瘤学
- 无线电学 (Radiomics) 是一种无线电学.
- 分子造型分析 (MOP) 是一种分子造型分析.
背景情况:
- 临床和实验室标记不充分预测初级中枢神经系统淋巴瘤的结果.
- 神经成像和分子数据在风险分层方面未得到充分利用.
- 现有的模型不能完全解释结果的变化.
研究的目的:
- 评估放射性特征在捕获临床相关的表型中的实用性.
- 将放射性特征与分子概况联系起来,以改善风险分层.
- 为了提高初级中枢神经系统淋巴瘤的预后建模.
主要方法:
- 追溯分析了133名中枢神经系统原发性淋巴瘤患者的9个地点和44名来自外部验证站点的患者.
- 导出放射性风险评分,使用T1加权对比增强MRI和L1规范调整的Cox比例危险模型.
- 通过机器学习和在组织和细胞系中验证,将放射性特征与DNA甲基化概况集成在一起.
主要成果:
- 一个包含20个纹理特征的放射性风险评分独立预测了生存率 (HR=6.56).
- 该得分在外部验证队列中保持了预测有效性.
- 放射性特征与基因调节差异相关,包括BCL6结合活性.
结论:
- 放射性风险评分是初级中枢神经系统淋巴瘤生存的强大,互补的预测指标.
- 该分数反映了潜在的DNA甲基化模式.
- 整合成像表型可以推进初级中枢神经系统淋巴瘤的预后建模和精确治疗.
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