Open AccessRadiomics for radiation oncologists: are we ready to go?
Author(s) -
L. Vaugier,
Ludovic Ferrer,
Laurence Mengue,
Emmanuel Jouglar
Publication year - 2020
Publication title -
bjr|open
Language(s) - English
Resource type - Journals
ISSN - 2513-9878
DOI - 10.1259/bjro.20190046
Subject(s) - radiomics , radiation oncology , radiation oncologist , medical physics , medicine , precision medicine , pipeline (software) , robustness (evolution) , radiation therapy , data science , computer science , radiology , pathology , biochemistry , chemistry , gene , programming language
Radiomics have emerged as an exciting field of research over the past few years, with very wide potential applications in personalised and precision medicine of the future. Radiomics-based approaches are still however limited in daily clinical practice in oncology. This review focus on how radiomics could be incorporated into the radiation therapy pipeline, and globally help the radiation oncologist, from the tumour diagnosis to follow-up after treatment. Radiomics could impact on all steps of the treatment pipeline, once the limitations in terms of robustness and reproducibility are overcome. Major ongoing efforts should be made to collect and share data in the most standardised manner possible.