Combining data science and medical imaging: Advancing cancer precision medicine with radiomics

Thibaud P. Coroller

Research output: ThesisDoctoral ThesisExternal prepared

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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 languageEnglish
Awarding Institution
  • Maastricht University
Supervisors/Advisors
  • Lambin, Philippe, Supervisor
  • Aerts, Hugo, Advisor
Award date14 Dec 2017
Place of PublicationMaastricht
Publisher
Print ISBNs9789461597755
DOIs
Publication statusPublished - 2017

Keywords

  • radiomics
  • tumour phenotype
  • cancer
  • precision medicine

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