Keywords: Quantitative Imaging, CancerAnalysis of lymph node metastasis (LNM) in lung cancer is vital for disease detection and treatment planning optimization. Multi-parametric MRI was widely used not only to characterize tumor size and anatomy, but also to assess the tissue metabolism and physiology. Conventionally, these are evaluated independently and/or are combined into an average parameter for the entire tumor, while the spatial information within the lesions was discarded. Habitat imaging allows to capture these subtle differences in tumors. In this context, a multi-parametric MRI based habitat analysis was approved to predict the LNM status.
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