Heterogeneity analysis of 18 F-FDG PET imaging in oncology: clinical indications and perspectives
ConclusionPET radiomics show their potential to non-invasively improve tumoral characterisation and identification of aggressive pattern complementary to other omics. To be implemented in clinic, these promising results nevertheless need further validation, which must go through a standardisation of their extraction conditions. Machine learning, especially deep learning, could allow the empowerment of the selection of features and the creation of powerful prognostic models including clinical, pathological and iconographic parameters.
Source: Clinical and Translational Imaging - Category: Radiology Source Type: research
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