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Updated: May 10, 2025

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使用T2*权重动态敏感度对比MRI输液参数和放射学来区分放射性缩和质瘤进展的综合方法:一项概念验证研究

José Pablo Martínez Barbero1,2, Francisco Javier Pérez García1, David López Cornejo1

  • 1Advanced Medical Imaging Group (TeCe22), Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18012 Granada, Spain.

Life (Basel, Switzerland)
|April 26, 2025
PubMed
概括

机器学习使用放射学和动态敏感性对比MRI perfusion (DSC MRI) 数据准确地区分脑质瘤的进展与放射性缩. 这种综合方法在具有挑战性的临床病例中有望提高诊断准确度.

关键词:
质瘤 质瘤 是一种机器学习是机器学习.磁共振成像技术的使用perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion perfusion 这是一个非常重要的方法,它可以让一个人觉得自己是个好的人,而不是一个好的人,而是一个好的人.无线电学 (radiomics) 是一种无线电学.放射性死症是一种放射性死症.瘤进展的进展情况

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