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多参数MRI放射性特征可能有助于预测世卫组织II级脑膜瘤患者的无进展生存率

Qiang Zeng1,2, Zhongyu Tian1,2, Fei Dong3

  • 1Department of Neurosurgery, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.

Frontiers in oncology
|July 15, 2024
PubMed
概括

多参数MRI的放射性特征可以预测世卫组织II级脑膜瘤患者的无进展生存期 (PFS). 机器学习模型,特别是袋装AdaBoost和神经网络,在这些预测中显示出高准确性.

关键词:
这就是为什么MRI是MRI.机器学习是机器学习.脑膜瘤是指脑膜的一个部分.没有进展的生存率.无线电学 (radiomics) 是一种无线电学.

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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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