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从IVIM获得的无模型参数在评估NPC病理指标和长期存活的潜力

Fan Yang1,2, Haoran Wei1, Xiaolu Li1

  • 1Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Journal of magnetic resonance imaging : JMRI
|March 10, 2025
PubMed
概括

简化扩散MRI参数,虚拟MR弹性图 (vMRE) 和签名指数 (S指数),有效预测鼻癌 (NPC) 的结果. 这些无模型的指标显示出由于缩短扫描时间和更容易处理的临床应用的前景.

关键词:
在intravoxel不连贯的运动.鼻癌 鼻癌 鼻癌预后 预后 预后签名 索引 签名 索引虚拟MR弹性图像虚拟MR弹性图像

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Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...