瘤体积特征预测了被诊断为扩散内在庞丁质瘤的患者的生存结果
D'Andre Spencer1,2, Erin R Bonner1, Carlos Tor-Díez3
1Center for Genetic Medicine Research, Children's National Hospital, Washington, District of Columbia, USA.
Neuro-oncology advances
|October 22, 2024
概括
磁共振成像 (MRI) 功能可以预测患有扩散内在庞丁质瘤 (DIPG) 的儿童的生存率. 诊断时和放射治疗后瘤体积和对比度增强是总生存 (OS) 结果的关键指标.
科学领域:
- 儿科瘤学 儿科瘤学
- 神经瘤学神经瘤学
- 医疗成像医学成像
背景情况:
- 扩散内在庞丁质瘤 (DIPG) 是一种致命的儿科脑瘤.
- 磁共振成像 (MRI) 对于DIPG诊断和监测治疗反应至关重要.
- 预测DIPG患者的整体存活率 (OS) 对于治疗规划至关重要.
研究的目的:
- 确定MRI衍生成像特征,预测DIPG儿童的整体生存期 (OS).
- 评估瘤体积和对比度增强指标在诊断和辐射后治疗 (RT) 的有用性.
- 探索机器学习 (SVM) 在DIPG.结果预测中的应用.
主要方法:
- 从43名儿科DIPG患者的对比增强T1和FLAIR/T2权重的MRI扫描进行了回顾性分析.
- 评估成像特征,包括3D瘤体积 (Twv),增强对比度的瘤核心体积 (Tc) 和它们的比率 (Tc/Twv) 在诊断和后RT时.
- 应用支持矢量机器 (SVM) 学习以识别预测操作系统结果 (短于或长于12个月) 的特征组合.
主要成果:
- 与糟糕的OS相关的特征包括诊断时增强对比度的瘤和特定的RT后Tc/Twv比率 (>15%和>20% ∆Tc/Twv).
- 在SVM分析中,诊断时的Tc/Twv (74%准确率) 和RT后的∆Tc/Twv<2个月 (75%准确率) 确定为低生存率的显著预测因素.
- 在RT后4个月内评估的瘤成像特征证明了差异性OS结果的预测价值.
结论:
- 在诊断和放射后治疗时基于MRI的瘤成像特征可以预测DIPG患者的整体存活率 (OS).
- 这些发现支持将定量瘤体积分析纳入DIPG的临床实践.
- 该研究强调了基于机器学习的分析,以根据瘤风险特征个性化DIPG治疗策略的潜力.
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Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
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