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Review
. 2020 Jul;21(7):779-792.
doi: 10.3348/kjr.2019.0855.

Radiomics in Breast Imaging from Techniques to Clinical Applications: A Review

Seung Hak Lee  1   2 , Hyunjin Park  2   3 , Eun Sook Ko  4
Affiliations
Review

Radiomics in Breast Imaging from Techniques to Clinical Applications: A Review

Seung Hak Lee et al. Korean J Radiol. 2020 Jul.

Abstract

Recent advances in computer technology have generated a new area of research known as radiomics. Radiomics is defined as the high throughput extraction and analysis of quantitative features from imaging data. Radiomic features provide information on the gray-scale patterns, inter-pixel relationships, as well as shape and spectral properties of radiological images. Moreover, these features can be used to develop computational models that may serve as a tool for personalized diagnosis and treatment guidance. Although radiomics is becoming popular and widely used in oncology, many problems such as overfitting and reproducibility issues remain unresolved. In this review, we will outline the steps of radiomics used for oncology, specifically addressing applications for breast cancer patients and focusing on technical issues.

Keywords: Breast cancer; Informatics; Quantitative imaging; Radiomics; Texture.

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Conflict of interest statement

The authors have no potential conflicts of interest to disclose.

Figures

Fig. 1
Fig. 1. Overview of steps in radiomics studies.
AUC = area under curve, KM = Kaplan-Meier
Fig. 2
Fig. 2. Summary of typical radiomics features in four categories.
GLCM = gray-level co-occurrence matrix, GLSZM = gray-level size zone matrix
See this image and copyright information in PMC

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