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

Korean Journal of Radiology : Official Journal of the Korean Radiological Society
Seung Hak LeeEun Sook Ko

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.

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Citations

Dec 9, 2020·JAMA Network Open·Nathaniel Braman
Nov 7, 2020·Journal of Pathology and Translational Medicine·Nariya Cho
Jan 18, 2021·Breast Cancer : the Journal of the Japanese Breast Cancer Society·Bong-Il Song
Mar 21, 2021·La Radiologia medica·Charlotte Marguerite Lucille TrombadoriRiccardo Manfredi
Jul 3, 2021·Current Oncology·Filippo PesapaneEnrico Cassano
Jul 17, 2021·Korean Journal of Radiology : Official Journal of the Korean Radiological Society·Seo Young ParkSeong Ho Park
Aug 26, 2021·Korean Journal of Radiology : Official Journal of the Korean Radiological Society·Seong Ho ParkSeo Young Park
Aug 31, 2021·Journal of Imaging·Giuseppe CutaiaGiuseppe Salvaggio

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Methods Mentioned

BETA
X-ray
feature extraction
biopsy

Software Mentioned

TCIA
Imaging Biomarker Explorer ( IBEX )
PyRadiomics
XGBoost
Medical Image Processing , Analysis , and Visualization ( MIPAV

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