Abstract

Radiomics is a quantitative approach to medical imaging, which aims at enhancing the existing data available to clinicians by means of advanced mathematical analysis. Through mathematical extraction of the spatial distribution of signal intensities and pixel interrelationships, radiomics quantifies textural information by using analysis methods from the field of artificial intelligence. Various studies from different fields in imaging have been published so far, highlighting the potential of radiomics to enhance clinical decision-making. However, the field faces several important challenges, which are mainly caused by the various technical factors influencing the extracted radiomic features.

The aim of the present review is twofold: first, we present the typical workflow of a radiomics analysis and deliver a practical “how-to” guide for a typical radiomics analysis. Second, we discuss the current limitations of radiomics, suggest potential improvements, and summarize relevant literature on the subject.

Details

Title
Radiomics in medical imaging—“how-to” guide and critical reflection
Author
van Timmeren Janita E 1 ; Cester Davide 2 ; Tanadini-Lang, Stephanie 1 ; Alkadhi Hatem 2 ; Baessler Bettina 2   VIAFID ORCID Logo 

1  University Hospital Zurich, University of Zurich, Department of Radiation Oncology, Zurich, Switzerland 
2  University Hospital Zurich, University of Zurich, Institute of Diagnostic and Interventional Radiology, Zurich, Switzerland 
Publication year
2020
Publication date
Dec 2020
Publisher
Springer Nature B.V.
e-ISSN
18694101
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1186/s13244-020-00887-2
ProQuest document ID
2433064310
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.