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首页> 外文会议>Biomedical Science amp; Engineering Conference, 2009. BSEC 2009 >Computational modeling in quantitative cancer imaging
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Computational modeling in quantitative cancer imaging

机译：定量癌症成像中的计算建模

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摘要

In recent years there have been dramatic increases in the range and quality of information available from non-invasive imaging methods so that a number of potentially valuable metrics are now available to quantitatively assess tumor status. Several of these have been used in both pre-clinical studies of animal models and clinical trials involving patients. However, the optimal methods by which these emerging imaging metrics are integrated and applied have yet to be developed. Here we provide an example of the kind of data available from quantitative imaging of cancer, and then propose an approach for how these data can be combined in order to offer a more comprehensive description of tumor growth and treatment response.
机译：近年来，可从非侵入性成像方法获得的信息的范围和质量急剧增加，因此现在有许多潜在有价值的指标可用于定量评估肿瘤状态。其中一些已用于动物模型的临床前研究和涉及患者的临床试验中。但是，尚未综合开发和应用这些新兴成像指标的最佳方法。在这里，我们提供了可从癌症定量成像中获得的这类数据的示例，然后提出了一种如何将这些数据进行组合的方法，以便对肿瘤的生长和治疗反应提供更全面的描述。

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