An individual tumour is often heterogeneous and its various features can be visualised noninvasively using medical imaging. Here, the authors analyse large computed tomography data sets using radiomic algorithms to identify heterogeneity, and find that some of these tumour features have prognostic value across cancer types.
- Hugo J. W. L. Aerts
- Emmanuel Rios Velazquez
- Philippe Lambin
