Abstract
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.
Original language | English |
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Awarding Institution |
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Award date | 14 Dec 2017 |
Place of Publication | Maastricht |
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Print ISBNs | 9789461597755 |
DOIs | |
Publication status | Published - 2017 |
Keywords
- radiomics
- tumour phenotype
- cancer
- precision medicine