Imaging Genomics and Multiomics: A Guide for Beginners Starting Radiomics-Based Research

Shiva Singh; Bahram Mohajer; Shane A Wells; Tushar Garg; Kate Hanneman; Takashi Takahashi; Omran AlDandan; Morgan P McBee; Anugayathri Jawahar

doi:10.1016/j.acra.2024.01.024

Imaging Genomics and Multiomics: A Guide for Beginners Starting Radiomics-Based Research

Acad Radiol. 2024 Jan 28:S1076-6332(24)00024-2. doi: 10.1016/j.acra.2024.01.024. Online ahead of print.

Authors

Shiva Singh¹, Bahram Mohajer², Shane A Wells³, Tushar Garg², Kate Hanneman⁴, Takashi Takahashi⁵, Omran AlDandan⁶, Morgan P McBee⁷, Anugayathri Jawahar⁸

Affiliations

¹ Radiology and Imaging Sciences, National Institutes of Health, Bethesda, Maryland (S.S.).
² Radiology and Radiological Sciences, Johns Hopkins Medicine, Baltimore, Maryland (B.M., T.G.).
³ Radiology, University of Michigan, Ann Arbor, Michigan (S.W.).
⁴ Medical Imaging, University of Toronto, Toronto, ON, Canada (K.H.).
⁵ Radiology, University of Minnesota, Minneapolis, Minnesota (T.T.).
⁶ Radiology, King Fahd Hospital of the University, Al Khobar, Saudi Arabia (O.A.).
⁷ Radiology and Radiological Sciences, Medical University of South Carolina, Charleston, South Carolina (M.P.M.).
⁸ Radiology, Northwestern University-Feinberg School of Medicine, 800, Arkes Pavilion, 676 N St. Clair St, Chicago, IL 60611 (A.J.). Electronic address: anugayathri.jawahar@nm.org.

PMID: 38286723
DOI: 10.1016/j.acra.2024.01.024

Abstract

Radiomics uses advanced mathematical analysis of pixel-level information from radiologic images to extract existing information in traditional imaging algorithms. It is intended to find imaging biomarkers related to the genomics of tumors or disease patterns that improve medical care by advanced detection of tumor response patterns in tumors and to assess prognosis. Radiomics expands the paradigm of medical imaging to help with diagnosis, management of diseases and prognostication, leveraging image features by extracting information that can be used as imaging biomarkers to predict prognosis and response to treatment. Radiogenomics is an emerging area in radiomics that investigates the association between imaging characteristics and gene expression profiles. There are an increasing number of research publications using different radiomics approaches without a clear consensus on which method works best. We aim to describe the workflow of radiomics along with a guide of what to expect when starting a radiomics-based research project.

Keywords: Genomics; Imaging; Multiomics; Radiomics; Texture analysis.

Publication types

Review