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首页> 外文会议>IEEE International Symposium on Computer-Based Medical Systems >Exploratory Radiomics for Predicting Adaptive Radiotherapy in Non-Small Cell Lung Cancer
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Exploratory Radiomics for Predicting Adaptive Radiotherapy in Non-Small Cell Lung Cancer

机译：探索性放射学可预测非小细胞肺癌的适应性放疗

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The possibility of planning a therapy minimizing side effects and optimizing efficacy of cancer treatments is one of the main challenges tackled by precision medicine research in oncology. In this context, radiomics is revealing itself as a promising path for better understanding the correct approach to personalized cures. Its primary aim is to go beyond basic medical images analysis, which only leverages on direct measurements on the tumor mass, i.e. dimension and shape. On the contrary, radiomics approach is oriented to the extraction of heterogeneous and quantitative data from the images to characterize the disease from a wider perspective, in order to provide the physician a valid support for the therapy decision and survival prediction. This manuscript presents an application of radiomics to Non-Small Cell Lung Cancer, dealing with the novel task of predicting the possibility to carry out an adaptive therapy. We achieved promising performance, reporting a radiomics signature for predicting tumor reduction during therapy.
机译：计划一种将副作用减至最小并优化癌症治疗效果的疗法的可能性，是肿瘤学上精密医学研究所解决的主要挑战之一。在这种情况下，放射线学正逐渐成为一种有前途的途径，可以更好地了解正确的个性化治疗方法。它的主要目的是超越基本的医学图像分析，该分析仅利用对肿瘤块（即尺寸和形状）的直接测量。相反，放射线学方法的目的是从图像中提取异质和定量数据，以便从更广泛的角度表征疾病，从而为医师提供治疗决策和生存预测的有效支持。该手稿介绍了放射性药物在非小细胞肺癌中的应用，处理了预测进行适应性治疗的可能性的新任务。我们取得了令人鼓舞的性能，报告了放射学特征以预测治疗期间的肿瘤减少。

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