
Novel imaging techniques of rectal cancer: what do radiomics and radiogenomics have to offer? A literature review
Author(s) -
Natally Horvat,
David D. B. Bates,
Iva Petkovska
Publication year - 2019
Publication title -
abdominal radiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.824
H-Index - 74
eISSN - 2366-004X
pISSN - 2366-0058
DOI - 10.1007/s00261-019-02042-y
Subject(s) - radiogenomics , radiomics , medicine , interpretability , personalized medicine , colorectal cancer , medical physics , precision medicine , modalities , artificial intelligence , radiology , bioinformatics , pathology , cancer , computer science , social science , sociology , biology
As computational capabilities have advanced, radiologists and their collaborators have looked for novel ways to analyze diagnostic images. This has resulted in the development of radiomics and radiogenomics as new fields in medical imaging. Radiomics and radiogenomics may change the practice of medicine, particularly for patients with colorectal cancer. Radiomics corresponds to the extraction and analysis of numerous quantitative imaging features from conventional imaging modalities in correlation with several endpoints, including the prediction of pathology, genomics, therapeutic response, and clinical outcome. In radiogenomics, qualitative and/or quantitative imaging features are extracted and correlated with genetic profiles of the imaged tissue. Thus far, several studies have evaluated the use of radiomics and radiogenomics in patients with colorectal cancer; however, there are challenges to be overcome before its routine implementation including challenges related to sample size, model design and interpretability, and the lack of robust multicenter validation set.