Radiomics is an emerging field of medical diagnostics that combines data science and medical imaging. By means of radiomics, a large amount of data can be extracted from medical images to characterize tumour phenotype using mathematically defined features. This approach allows for non- invasive uncovering of tumour characteristics in a robust manner. The association of clinical information to this atlas has enabled the identification of new, reproducible, image-based predictors for tumour response- evolution (e.g. metastasis) or intrinsic biology (e.g. mutation status). In outlining its benefits, this thesis shows how radiomics could provide valuable information to support clinicians in their treatment decision.
|Award date||14 Dec 2017|
|Place of Publication||Maastricht|
|Publication status||Published - 2017|
- tumour phenotype
- precision medicine
Coroller, T. P. (2017). Combining data science and medical imaging: Advancing cancer precision medicine with radiomics. Datawyse / Universitaire Pers Maastricht. https://doi.org/10.26481/dis.20171214tc