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Fig. 2 | European Radiology Experimental

Fig. 2

From: Integrating radiomics into holomics for personalised oncology: from algorithms to bedside

Fig. 2

Illustration of the different elements of a model of integration of radiomics in a holomics-based clinical workflow. Patients: constant accumulation of patient data is used in a dynamic model. Examinations: images are produced with many protocols, machines, and facilities. Other "omics" data from blood tests, tumour samples, or clinical data are aggregated. Image vault/data centre: a collaborative, open-source, open data storage infrastructure guarantees secured ownership of data, and facilitated software development. Harmonisation/quality control: as for other omics, radiomics can only reach clinical practice and feed algorithms with harmonisation and quality control at each step. Decision: predictive information (rather than prognostic only) is provided to tumour boards or other specialist boards to provide support for decision

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