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Review
. 2019 Dec;92(1104):20190105.
doi: 10.1259/bjr.20190105. Epub 2019 Oct 10.

MRI-derived radiomics: methodology and clinical applications in the field of pelvic oncology

Ulrike Schick  1   2   3 , François Lucia  1   2 , Gurvan Dissaux  1   2   3 , Dimitris Visvikis  2 , Bogdan Badic  2   4 , Ingrid Masson  2 , Olivier Pradier  1   2   3 , Vincent Bourbonne  1   2 , Mathieu Hatt  2
Affiliations
Review

MRI-derived radiomics: methodology and clinical applications in the field of pelvic oncology

Ulrike Schick et al. Br J Radiol. 2019 Dec.

Abstract

Personalized medicine aims at offering optimized treatment options and improved survival for cancer patients based on individual variability. The success of precision medicine depends on robust biomarkers. Recently, the requirement for improved non-biologic biomarkers that reflect tumor biology has emerged and there has been a growing interest in the automatic extraction of quantitative features from medical images, denoted as radiomics. Radiomics as a methodological approach can be applied to any image and most studies have focused on PET, CT, ultrasound, and MRI. Here, we aim to present an overview of the radiomics workflow as well as the major challenges with special emphasis on the use of multiparametric MRI datasets. We then reviewed recent studies on radiomics in the field of pelvic oncology including prostate, cervical, and colorectal cancer.

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Figures

Figure 1.
Figure 1.
Workflow MRI radiomics as applied for images of cervical cancer
See this image and copyright information in PMC

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