Introduction to radiomics Journal Article

Authors: Mayerhoefer, M. E.; Materka, A.; Langs, G.; Häggström, I.; Szczypiński, P.; Gibbs, P.; Cook, G.
Article Title: Introduction to radiomics
Abstract: Radiomics is a rapidly evolving field of research concerned with the extraction of quantitative metrics-the so-called radiomic features-within medical images. Radiomic features capture tissue and lesion characteristics such as heterogeneity and shape and may, alone or in combination with demographic, histologic, genomic, or proteomic data, be used for clinical problem solving. The goal of this continuing education article is to provide an introduction to the field, covering the basic radiomics workflow: feature calculation and selection, dimensionality reduction, and data processing. Potential clinical applications in nuclear medicine that include PET radiomics-based prediction of treatment response and survival will be discussed. Current limitations of radiomics, such as sensitivity to acquisition parameter variations, and common pitfalls will also be covered. © 2020 by the Society of Nuclear Medicine and Molecular Imaging.
Keywords: treatment response; histopathology; nuclear magnetic resonance imaging; demography; prediction; artificial intelligence; problem solving; nuclear medicine; pet; calculation; extraction; single photon emission computed tomography; dimensionality reduction; machine learning; workflow; article; field study; radiomics; positron emission tomography-computed tomography; single-photon emission tomography
Journal Title: Journal of Nuclear Medicine
Volume: 61
Issue: 4
ISSN: 0161-5505
Publisher: Society of Nuclear Medicine  
Date Published: 2020-04-01
Start Page: 488
End Page: 495
Language: English
DOI: 10.2967/jnumed.118.222893
PUBMED: 32060219
PROVIDER: scopus
Notes: Review -- Export Date: 1 May 2020 -- Source: Scopus
Citation Impact
MSK Authors
  1. Peter Gibbs
    7 Gibbs